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What is PerfectServe ? PerfectServe is a leading provider of clinical communication and physician scheduling solutions in the health IT space. The company was founded in 1997 and has grown steadily since then, with a notable jump after several major acquisitions were announced in 2019. PerfectServe now has 400+ employees, 30,000+ customers — spanning medical practices, hospitals, and health systems — and $100 million+ in annual revenue. PerfectServe's mission is to accelerate speed to care by optimizing provider schedules and routing communications — including messages, pages, calls, and alerts — to the right place at the right time in any care setting. By facilitating real-time information sharing, building better schedules, and automating important clinical workflows, we believe we can help our customers advance patient care and improve the well-being of their clinicians. Leading analyst firms like Gartner® and KLAS Research have consistently validated our approach: In 2026, PerfectServe was named highest in execution and furthest in vision in the Gartner Magic Quadrant™ for Clinical Communication and Collaboration — the clear segment leader. PerfectServe also received two Best in KLAS awards in 2026 — one for physician scheduling and another for ambulatory clinical communications. That makes for 11 Best in KLAS awards over the past 9 years. At PerfectServe, you'll have a unique opportunity to join a collaborative team with decades of experience that finds new ways to delight our customers every day. This involves consistent efforts to stay on the cutting edge of product development, which includes everything from implementing AI in new and existing solutions to brainstorming with customers about novel workflows. But you don't have to be in product to make in impact — everybody at PerfectServe contributes to important work that moves the business forward. If you're looking for a well-established, tech-forward company full of smart people doing meaningful work, you've found the right place! The Implementation Consultant I is a key member of the Implementation team, contributing to the successful delivery of complex, large‑scale enterprise deployments of the PerfectServe platform. In this role, the consultant works within diverse health systems—including multi‑hospital networks and enterprise physician groups—to support full‑cycle implementation activities. This position is designed for consultants who are ready to expand their project ownership, take the lead on defined workstreams within major deployments, and gain expertise across multiple product platforms based on project needs. Flexibility, adaptability, and a growth mindset are essential as this role evolves toward greater technical depth and project leadership responsibility. Key Responsibilities: Enterprise Deployment & Project Leadership Lead assigned workstreams within large-scale enterprise implementations, ensuring deliverables are completed on schedule and aligned with project goals. Coordinate with cross-functional teams to ensure smooth execution across complex environments. Support planning and execution of enterprise go-live events, serving as a primary point of contact for designated functional areas. Client Engagement & Workflow Consulting Provide workflow consulting for physician, clinical, and operational teams. Educate and register physicians for PerfectServe programs, designing elegant solutions that meet the system level standards established Provide consultation support to physicians with call workflow configuration into the PerfectServe system Develop training programs tailored to large health system audiences. Educate new clinical users at the hospital pre and post go-live Technical Execution & Integration Configure advanced workflows within complex multi-facility systems. Work with third party systems to integrate solutions into the PerfectServe system. Conduct testing across devices, platforms, and integrated technologies. Cross-Platform Training & Skill Development Become trained across multiple PerfectServe platforms based on project needs. Rapidly acquire new product knowledge for enterprise implementations. Any other duties as needed to effectively perform the position Essential Qualifications: Bachelor's degree required, engineering or IT related discipline is ideal but not required Prior work experience in a customer facing or other service roles Excellent verbal and written communications skills Excellent computer skills using Microsoft Visio (or Lucidchart similarly), Word, Excel (including functions), and PowerPoint. Will be using Lucidchart extensively. Embraces change and has a genuine curiosity for healthcare Ability to work closely with peers and team members in a collaborative manner Must travel up to 30 - 50% of the time Environment, Physical & Other Requirements: This position requires interaction with people and technology while either standing or sitting. In order to best service our customers on the phone, face-to-face, or on the computer, all employees must be able to communicate with or without reasonable accommodation. Depending on the assignment, may require ordinary ambulatory skills sufficient to visit other locations; or the ability to stand, walk and manipulate (lift, carry, move) light to medium weights of 10 - 25 pounds. Requires good hand-eye coordination, arm, hand and finger dexterity, including ability to grasp, and visual acuity to use a keyboard, and operate equipment. PerfectServe is committed to compliance with its obligations under all applicable state and federal laws prohibiting employment discrimination. This position description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Why Join PerfectServe? At PerfectServe, we are transforming healthcare communication and collaboration to help clinicians deliver better care. You'll work with a dedicated and mission-driven team in an environment that values growth, transparency, and innovation. We offer a salary range of $60,000-75,000 USD per year, with compensation tailored to your background, strengths, and potential to grow within the team. The salary range listed for this role reflects our commitment to pay transparency and is based on market data, internal equity, and the scope of responsibilities. compensation will be determined by a combination of factors, including the candidate's experience, skills, and the specific team or product area they support. We regularly review compensation across the company to ensure fairness and consistency. If you are a current employee and have questions about how your compensation aligns with our ranges, we encourage you to speak with your manager or People Operations. Benefits: Remote first work environment Health, Dental, Vision, Life and Disability Insurance options available day one. 401K - with match and immediately vested. 17 company holidays, 2 floating holidays plus competitive paid time off policy Internal Advancement Opportunities PerfectServe offers unified healthcare communication solutions to help physicians, nurses, and care team members provide exceptional patient care. PerfectServe's cloud-based solutions enhance patient safety and reduce provider burnout by automating workflows, speeding time to treatment, optimizing shift schedules, empowering nurse mobility, and engaging patients in their own care.

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we're simplifying and modernizing the ticketing industry. The SupportX team is dedicated to building the future of fan support. We treat support as a product, owning the full end-to-end experience- from AI-powered chat and voice interactions to agent tooling, self-service deflection, and integrations with SeatGeek's order management, fulfillment and financial systems. We are in the process of building new foundations which will boost fan outcomes driven by our AI support agent, increase self-service rates, reduce contact volumes, and empower our human experts to deliver highly effective white-glove service. As manager, you'll be the technical leader of this effort, guiding the team as we define, build and optimize a support experience for fans that is truly best-in-class. Your role will be critical in shaping the team's roadmap, enhancing fan outcomes and driving faster, more efficient support workflows. What you'll do Manage a team of Backend, Frontend and applied AI and automation engineers Own the technical vision for SeatGeek's core support tools (both custom + Saas) and integrations Rapidly build and iterate tools to boost fan experience, and maintain a high standard of operational excellence across the platform Perform code and architecture reviews, and provide technical and design feedback to the team Provide regular job performance feedback, hold one-on-ones, and provide career development support to your direct reports Work with your Technical and Product counterparts to form a compelling vision and direction for the team that aligns with organizational and business goals Select new and work with existing technology vendors when necessary. You constantly make build or buy decisions together with your team At times, roll up your sleeves to deliver features and iterate across the platform Communicate technical and product decisions to the right people, resolve blocking issues, and collaborate with other leaders across the organization Play an active role in our recruiting process, helping us grow our engineering team in any way you can What you have 5+ years as an engineer in a role that was mostly about writing code 2+ years of experience as an engineering manager of productive, motivated teams Proven track record leading teams to ship industry-leading UX that meaningfully elevates high-stakes customer experiences Preferred if you've contributed to end-to-end customer support experience software at a marketplace product organization You've successfully built and led lean teams, ensuring they're productive, motivated, and capable of delivering impactful results You're able to foster safe, collaborative & inclusive environments, where engineers feel empowered to do their best work You're comfortable operating without a playbook — defining the architecture, the team's ways of working, and the roadmap simultaneously You're able to break down complex technical concepts and explain them clearly to non-technical audiences, accurately representing the team's work to a wide range of stakeholders Knowledge of the technology industry and customer support tools + workflows to help your team make good tooling and framework decisions to set them up for success You understand how to lead by setting context, facilitating collaboration, and getting buy-in between cross functional partners in product, design, engineering and leadership You've worked as an Engineer in the past, are familiar with the challenges of that role, and preferably have had hands-on experience with the following: Custom tools to increase support agent efficiency and create delightful fan outcomes AI agent optimization - building the tools, methods, workflows of an empowered + effective customer service agent Our stack Experience with every technology listed isn't expected, we've included them for transparency. What matters most to us is your core engineering skills and ability to learn, not deep expertise in any one tool or language. Languages: Python (FastAPI), Go, C# (.NET Core), React+Typescript, Swift, Kotlin Infrastructure: AWS, Kubernetes, ArgoCD, Datadog, Gitlab Datastores: Aurora (Postgres), ElastiCache (Memcached), OpenSearch, DynamoDB Streaming & workflows: Kafka, Flink, Airflow, Temporal Saas: Workato, Customer Support / Help Center tools (Zendesk, Sierra) AI Tooling: Claude Code, Codex, LLMs Perks Equity stake Discretionary annual bonus Flexible work environment, allowing you to work as many days a week in the office as you'd like or 100% remotely A WFH stipend to support your home office setup Unlimited PTO Up to 16 weeks of fully-paid family leave 401(k) matching Student loan matching program Health, vision, dental, and life insurance Up to $25k towards family building, reproductive health services and Gender-affirming care $500 per year for wellness expenses Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical $360 per quarter to spend on tickets to live events Annual subscription to Spotify, Apple Music, or Amazon music The salary range for this role is $171,000 - $248,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location. SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. To review our candidate privacy notice, click here . #LI-Remote

About Ping Identity: At Ping Identity, we believe in making digital experiences both secure and seamless for all users, without compromise. We call this digital freedom. And it's not just something we provide our customers. It's something that inspires our company. People don't come here to join a culture that's built on digital freedom. They come to cultivate it. Our intelligent, cloud identity platform lets people shop, work, bank, and interact wherever and however they want. Without friction. Without fear. While protecting digital identities is at the core of our technology, protecting individual identities is at the core of our culture. We champion every identity. One of our core values, Respect Individuality, reminds us to celebrate differences so you are empowered to bring your authentic self to work. We're headquartered in Denver, Colorado and we have offices and employees around the globe. We serve the largest, most demanding enterprises worldwide, including more than half of the Fortune 100. At Ping Identity, we're changing the way people and businesses think about cybersecurity, digital experiences, and identity and access management. Role Purpose Statement: As a Senior Technical Support Engineer II, you will play a critical role in ensuring seamless customer experiences by providing high-quality technical assistance. You will be part of the global support team, working on a shifted schedule that includes weekends to ensure continuous support coverage. In this role, you will assist with product-specific cases, manage case escalations, provide phone support and respond to alerts, helping Ping Identity deliver superior customer support. Main Responsibilities: Interacting with customers, responding in a professional and efficient manner, helping them identify and resolve technical issues. Meeting or exceeding customer expectations on response quality, timeliness and overall customer experience Acting as Queue Manager (QM) during weekend shifts, ensuring efficient case handling and triaging support requests Providing technical support across multiple products, ensuring efficient troubleshooting, identification of root cause and issue resolution Where assigned products are not within their core expertise, work within established product runbooks and escalate to the on-call Product SME as required Managing and responding to phone support and alerts, escalating cases as needed Communicating with customers and partners via the online support tool, and via audio and video calls and screen-sharing sessions Reproducing customer problems internally, to enable the development and testing of a resolution Collaborating with Support, Engineering, SREs, Product Management and Customer Success teams. Showing a respect for all team members and customers at all times Collecting information and documenting bugs with Engineering or Training/Documentation for product/service issues that are impacting customers Actively prioritizing tasks/workload with self-discipline and good timekeeping Adopting an 'always-learning' mentality, with a humble attitude about knowledge limitations, and the ability to learn from experience and informal/formal instruction Participation in escalation calls, when required, to brief stakeholder management on support cases, and assist in the creation of action plans aiming to solve customer issues as quickly as possible. Showing empathy for the customer's situation and listening with the intent to understand the situation clearly Ensuring best practices are followed and processes are adhered to, especially with regard to ISO27001/9001 compliance, security incidents and data breaches Required Skills & Qualifications Typically requires a minimum of 5+ years of related experience with a Bachelor's degree; or equivalent work experience Excellent Communication - both verbal and written; support is conducted via web-based ticketing system, web conferencing and phone Excellent troubleshooting skills Demonstrable collaboration and teamwork skills Ability to prioritize workload and adapt to a fast-paced, follow-the-sun support model Ability to be a good listener; identifying key information in order to reproduce a customer's problem remotely Strong background of working on Linux, Unix & Windows Enterprise Server OS, with mixed skills around administration and troubleshooting Solid understanding of the technical fundamentals of the Internet - you should have a solid knowledge of protocols such as HTTP, SSL and IPv4/v6 Working knowledge of Java, web containers (e.g. Tomcat, JBoss) and web servers (e.g. Apache, IIS) Experience of virtualisation in an enterprise environment Cloud-based platform services - AWS, Azure, Google Cloud Platform Preferred: DevOps deployments - Docker, Scripting, Kubernetes Networking infrastructure - Proxies, Load balancers, Firewalls Installing/tuning/code analysis of Java Java performance analysis - Heap maps/JMAP/GC Directory - LDAP, AD Databases – SQL Programming languages - JavaScript, Groovy Life at Ping: We believe in and facilitate a flexible, collaborative work environment. We're growing quickly, but remain true to the innovative, can-do startup values that got us here. Most importantly, we keep hiring talented, smart, fun, and genuinely nice people because that's who we want to succeed with every day. Here are just a few of the things that make Ping special: A company culture that empowers you to do your best work. Employee Resource Groups that create a sense of belonging for everyone. Regular company and team bonding events. Competitive benefits and perks. Global volunteering and community initiatives Our Benefits: Generous PTO & Holiday Schedule Parental Leave Progressive Healthcare Options Retirement Programs Opportunity for Education Reimbursement Commuter Offset (Specific locations) Ping is the collective sum of all our individual experiences, backgrounds and influences and we pride ourselves in growing and learning together. We are committed to building an inclusive and diverse environment where everyone's individuality is respected and everyone has an Identity. In recruiting for new colleagues, we welcome the unique contributions you can bring and encourage you to be your best self. We are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here's what this particular role covers. 🛠️ About our Test Engineer Teams We're seeking an exceptional Test Engineer to join our Germany-based team focused on localising and advancing Wayve's autonomous driving technology for the German market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Germany from the ground up. 🧠 Your day-to-day As a Test Engineer, you'll independently own the design and delivery of automated verification for a defined area of our embedded software stack. You'll build robust, reusable test automation, drive failures to root cause across engineering boundaries, and steadily raise the bar on coverage, reliability, and traceability. This is a hands-on delivery role with room to grow into broader areas of the system including sensing and model-behaviour testing as the company and your experience evolve. The ideal candidate is a self-starter with a sharp eye for improvement across multiple engineering domains. 🧩 What you'll be working on Develop automation for system functionality tests at component, integration, and system levels, across software and hardware boundaries. Automate open-loop and closed-loop replay based Tests, reliability and fault-injection tests to support verification, release, coverage expansion, and debug workflows. Lead root-cause investigations for failures found during test campaigns, collaborating across hardware, software, and infrastructure teams. Optimise buildkite CI/CD-integrated test workflows for rapid, reliable, and repeatable execution. Integrate third-party verification tools including JAMA (requirements), MC/DC (coverage), and MISRA (style compliance); manage artefacts via Artifactory and Azure. Define and track KPIs and quality metrics for system testing, supporting data-driven validation and release decisions. Uncover software and hardware bugs through increased test coverage and report findings through JIRA. Identify and implement infrastructure improvements that enhance test coverage, failure traceability, and compliance reporting. Review, create, and adhere to Risk Assessments to ensure all testing activities are conducted safely and responsibly. 🙌 You should apply if Essential Skills & Experience Hands-on experience with system-level verification and validation in robotics, embedded software, or mechatronic systems, with a track record of delivering test automation independently. Experience with L2+ hands-off, L3, or L4 automated driving systems. Knowledge of consumer safety-rating protocols (e.g., Euro NCAP -AEB, LSS/LKA, ADAS scenarios), DCAS regulatory testing (UN R171), and automotive cybersecurity testing and standards (ISO/SAE 21434, UN R155). Experience with HiL testing and tooling using CAN, Ethernet, GMSL, dSPACE, Vector, Xylon, or similar. Strong proficiency in Python, including developing automation test frameworks with pytest. Proven ability in interface-level testing, including hardware/software interactions and embedded interfaces. Experience integrating software quality assurance tools and standards (ASPICE, SOTIF, ISO 26262, JAMA, X-RAY). Knowledge of open- and closed-loop HiL replay using dSPACE or other emulators. Proficient in CI/CD principles and related tooling (e.g., GitLab CI, Buildkite, Bazel). Experience with test automation dashboards, logging, and reporting infrastructure (e.g., Grafana, Looker, Datadog, JIRA). Experience developing or testing automotive software across embedded and system levels. Strong cross-functional communication skills; able to work collaboratively across software, hardware, autonomy, DevOps, and product teams. Desirable Skills & Experience Experience with autonomous vehicle systems, ADAS, or related technologies.. Strong Python Automation and knowledge of dSPACE open and closed Loop HIL based replay Testing Experience contributing to continuous improvement of test methods, safety procedures, or operational efficiency. Awareness of data management and version control systems (e.g., Git, Buildkite, or similar). Familiarity with agentic AI coding tools (e.g., Cursor, Claude Code) and a demonstrated ability to use them to accelerate and optimise test development, debugging, and automation workflows. 🌱 Not ticking every box? That's totally okay! If you're passionate about autonomy and keen to learn, we encourage you to apply even if you don't meet every requirement. More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve's mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 🔍 The Interview Process: Our process is clear and respectful of your time: Initial call / recruiter screen (30 mins) Competency Interviews [Python Programming, 60mins] Deep-dive technical interviews [System Design, Validation & Release, 60mins, Cross Functional Collaboration, 60mins] Final interview : [Mission & Values alignment, 30mins]. We'll always explain the format and work around your availability. What's in it for you (Location dependant): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you'll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we'd really like to hear from you. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory. Find more English Speaking Jobs in Germany on Arbeitnow

Set a new pulse for healthcare! We are looking for a Senior Inference Engineer to join the ML Platform (TIGER) team in AI & Machine Learning . Your mission will be to power Doctolib's AI-driven healthcare products — from Consultation Assistant to Phone Assistant and Health Companion — by owning the self-hosted LLM serving platform that keeps the most sensitive patient data within infrastructure Doctolib controls. You will build and operate the shared foundations that every AI feature team relies on: deploying, tuning, and scaling open-weight models across our GPU fleet, contributing directly to faster, safer, and more cost-efficient AI for care teams and patients across Europe. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. What you'll do Your responsibilities include but are not limited to: Build the shared LLM serving foundations with MLOps engineers — define the serving stack, GPU capacity planning, and deployment automation for open-weight models (Gemma, Mistral, Llama, Qwen, and their fine-tuned variants) on Ray Serve / Anyscale, while shaping the evolution toward Kubernetes-based orchestration Own the model registry and promotion path — establish clear processes for versioning, validating, and promoting models into production, benchmark performance and output quality under realistic workloads, and maintain the curated model catalog together with the Agents Platform team Optimize inference performance and efficiency — operate and tune serving engines (vLLM, Triton Inference Server, TensorRT-LLM) to reduce time-to-first-token, inter-token latency, and cost per token through batching, caching, quantization, and parallelism strategies across our GPU fleet (L4 to H200) Own production reliability and disaster recovery — define SLOs, run load tests before launches, implement safe rollouts, rollbacks, and autoscaling, and participate in on-call and incident response Make serving performance and costs measurable — build Datadog dashboards, alerting, and cost reporting to track latency, GPU utilization, and inference spend, and identify opportunities to improve resource efficiency Keep the inference stack secure, compliant, and evolving — work with Security and Privacy on network isolation, data residency, and auditability, while continuously assessing new models, serving engines (such as SGLang), and GPU generations Who you are Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You'll be a great fit if you: Have 5+ years of software or computer engineering experience, including hands-on production experience with at least one LLM serving engine (vLLM, SGLang, TensorRT-LLM, TGI, or Triton) — ideally having chosen, introduced, tuned, or scaled one in production, not just run it with defaults Are proficient in Python and Terraform, with a solid understanding of transformer inference mechanics: prefill vs. decode, KV cache, batching strategies, and why a model is compute- or memory-bound on a given GPU Have strong experience running GPU workloads on Kubernetes or a managed Ray / Anyscale platform, and a performance engineering mindset — you design reproducible benchmarks, read profiler output, and back decisions with numbers Are comfortable owning production reliability: observability, incident response, and on-call are a natural part of the role Have excellent communication and collaboration skills, high agency, a pragmatic build-vs-buy approach, and are comfortable working in a scope that is still taking shape Are fluent in English It would be fantastic if you: Have experience with distributed serving frameworks (KServe, llm-d, NVIDIA Dynamo), including disaggregated prefill/decode or KV-cache-aware routing, or with serving Mixture-of-Experts, multimodal models, or many LoRA adapters on shared base models Have GPU kernel experience or deep profiling skills (CUDA, Triton, Nsight), or have contributed to open-source inference projects Have experience in regulated environments (healthcare, finance, public sector) and with frameworks such as GDPR, HDS, ISO 27001, or SOC 2 Our stack Programming languages: Python, plus comfort reading/debugging a systems language (C++, Rust, or Go) Cloud providers: GCP / AWS / Azure Serving orchestration: Ray Serve / Anyscale (GCP), with Kubernetes (GKE) + GPU scheduling as an emerging parallel target LLM serving engines (in production): vLLM, Triton Inference Server, TensorRT-LLM (also evaluating SGLang and other emerging engines) Models: Self-hosted open-weight LLMs (Gemma, Mistral, Llama, Qwen), fine-tuned in-house Experiment tracking & model registry: MLflow GenAI gateway: LiteLLM LLM evaluation & observability: Braintrust GPUs: NVIDIA L4, A10G, L40S, RTX 6000 Pro, A100 (40GB/80GB), H200 Container / Infra as code: Docker, Terraform, Helm, Kustomize Observability: Datadog Data warehouse / storage: GCP BigQuery / GCS / AWS S3 And any other tool you deem relevant! Life at Doctolib Tech Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements. Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here . Want to learn more about our tech culture and environment? Visit the Doctolib Tech site . What we offer Free comprehensive health insurance (basic package) for you and your children 25 days of paid vacation per year, plus up to 14 days of RTT Free mental health and coaching services through our partner Moka.care Work from abroad for up to 10 days per year thanks to our flexibility days policy Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib A subsidy from the work council to refund part of the membership to a sport club or a creative class 50% reimbursement of your public transport subscription ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave and 75% during the second, covered by Doctolib Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support Relocation support in case of international mobility Access to the best AI tools for coding, development and dedicated training Our interview process HR interview by phone (45 minutes) Hiring manager interview (1 hour) Technical case study (1 hour) Behavioral interview (1 hour 30 minutes) At least one reference check We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page . Job details Permanent position Tech stack: Python, vLLM, TensorRT-LLM, Triton, Ray Serve Full-time Paris, France Hybrid work setup (up to 2 remote days per week) Start date: as soon as possible We welcome everyone At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability. To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! Your data privacy All information provided is processed by Doctolib for application management. For data processing details, click here: France . Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights. Find Jobs in France on Arbeitnow

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview Develops complex program models to extract data and uses multiple databases to acquire statistical and financial data. Utilizes portfolio trends to propose policy/procedural changes within segmentation structure to produce optimal results. Excels at risk/reward trade off. Build relationships with external agencies. Participates in the rollout of company-wide pilot programs developed as a result of programmed models. Duties primarily include the regular use of discretion, independent judgment, the ability to communicate with multiple levels of management and the utilization of core leadership behaviors. Job Description This position is for an analyst role supporting Specialty Servicing and Fulfillment Operations. Key responsibilities include utilizing a variety of systems such as Alteryx , SAS, Hadoop, Advanced SQL, Tableau, python and other BI Tools to provide analytical support on strategies and operational health. Responsibilities include participating to understand Business needs to interrupt requirements, creating report visualizations, and managing report accuracy / deployment. Job expectations include developing, maintaining, and enhancing reports to deliver comprehensive end-to-end reporting solutions. Additional areas of focus include performance summaries of various key performance indicators and metrics over time, uncover actionable business insights to drive responses to performance trends, and the production of reports and updates for senior management to ensure consistency and performance excellence across Specialty Servicing and Fulfillment Operations. Responsibilities Identify process improvements and efficiencies via data analysis Analyzes and interprets large sets of raw data to recommend ways to help the business achieve desired outcomes and make informed business decisions Leads coordination of the production of product performance reports and updates for senior management Determine ways to optimize code and BI presentation to align to Business needs Validate the integrity and quality of data required for performing analysis Ensuring that process documentation and control steps are in place to ensure transparency into design. Requirements: Education Graduate (Any stream) Experience Range 5+ years of analytics and reporting experience Foundational skills: Advanced SQL / SAS /Alteryx-Strong SQL background Tableau Hadoop Python Strong written and oral communication skills Knowledge of business intelligence tools Excellent analytical & problem-solving skills Data Visualization Data and Trend Analysis Business Analytics Monitoring, Surveillance, and Testing Work Timings Shift - 12.30PM to 9:30pm(Weekend Off) Job Location Chennai

About Pleo Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses 'go beyond'. The word 'Pleo' actually means 'more than you'd expect', and living by that mantra has been the secret to our success over the last 10 years. Now, we're at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can't say we've got this whole thing figured out. And frankly, that's half the fun! What we can say is that we're a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together. About the role Pleo's Intelligence function covers the full analytical picture - product behaviour, GTM performance, commercial data science, financial reporting, and operational intelligence. The Analytics Engineers who serve these teams own the data modelling layer that all of it runs on: dbt models, metric definitions, and semantic layer contributions that analysts, product teams, and AI tools depend on to get consistent, trustworthy answers. You'll be embedded in the Product Intelligence team, building the tracking, experimentation, and data modelling foundations that make product data trustworthy and self-serve. You'll join a close-knit team actively migrating our analytics stack onto a new Analytics Warehouse and Omni, moving off legacy tools like Looker and Hippocampus. If you want to build the infrastructure that other people's product decisions run on rather than just report on what exists, this is the opportunity for you. Who you'll work with and reporting to You will report to an Analytics Manager leading Product Intelligence and Growth Intelligence. You'll partner closely with Product Managers, Product Analysts, and Engineering to get tracking, experimentation, and metric definitions right from the ground up. You'll also engage with the broader Analytics Engineering community across Pleo to drive shared standards, especially around the semantic layer that keeps metrics consistent across the organization. What you'll be doing Build and maintain dbt models in our new Analytics Warehouse, using a clean, layered architecture and migrating logic off legacy tools as you go. Own tracking plan implementation and QA directly in Segment and Amplitude in close partnership with Product and Engineering. Support experimentation by modelling assignment and outcome data into structured formats that analysts and PMs can query directly. Define and document metrics in our semantic layer, ensuring a single authoritative definition so downstream BI tools and AI applications yield consistent answers. Apply AI-augmented data modelling practices as a standard part of how you write, review, and migrate code. Partner with Product Managers and Analysts to turn one-off questions into durable, reusable data models. Maintain data quality in your domain through dbt tests, freshness SLAs, and proactive monitoring. What you bring Solid SQL and dbt experience, with a clear comfort owning models end to end. Working knowledge of event-based tracking tools like Segment or Amplitude. Experience with Git-based development workflows, including opening and reviewing pull requests. Clear communication skills to explain data definitions and structures to both technical and non-technical stakeholders. Genuine day-to-day use of AI tooling as part of your standard coding and workflow routine. Comfort navigating ambiguity and untangling legacy logic to build modern foundations. This role is NOT a good fit if You only want to write dashboards without touching or owning the underlying data models. You require rigid processes and heavy upfront structure before taking initiative. You prefer to avoid data migration, cleanup work, and legacy system refactoring. Your first 6 months Ramp up: Master our dbt project structure, tracking plans, and migration roadmap while shipping small, reviewed code changes early on. Take ownership: Own a dedicated slice of the migration, such as an event domain or our core experimentation data models. Drive consistency: Establish semantic layer definitions for your domain so analysts and PMs can self-serve accurate metrics without custom workarounds. Our tech stack context Data warehouse: GCP / BigQuery (new Analytics Warehouse) Transformation: dbt Orchestration: Airflow Tracking and Oroduct Analytics: Segment, Amplitude BI and Analytics: Omni (migrating off legacy Looker and Hippocampus) Languages: SQL Show me the benefits! Your own Pleo card (no more out-of-pocket spending!) Lunch is on us for your work days—enjoy catered meals or receive a lunch allowance based on your local office. Comprehensive private healthcare depending on your location (coverage options include Vitality, Alan, or Médis). 25 days of annual holiday plus public holidays, with the option to purchase 5 additional days through salary sacrifice. Flexible working options supporting both hybrid and fully remote setups. Free mental health and well-being support through MyndUp. Generous paid parental leave policies to support growing families. The interview process Intro Call: 30 minutes with our Talent Partner SQL Test: Completed via CoderPad Hiring Manager Interview: 45 minutes with our Data & Analytics Manager Team Interview & Live Case: Data modelling case via CodeSignal Final Interview: 30 minutes with our VP of Data & AI Transparency is important to us so we also wanted to share some insights about what we're looking for in applications to ensure you can set yourself up for success! Last time we hired an Analytics Engineer, we received a total of 173 applications but only 10 were selected for an intro call. Some of the key reasons why previous candidates didn't make it past the application screening stage include: CV writing and content: it was very clear that many of the CVs we saw were very generic and AI generated. There is no issue with leveraging AI to help with CV writing, there was little indication of what real impact the candidates had in their previous experience. You might have heard of the "Achieved X, as measured by Y, by doing Z" formula (credit Laszlo Bock ~2014), this is a great way to give a clear picture of what you have actually worked on. Some link or quick description of the companies you've worked with is also a great help. Application care: every single application we receive is reviewed by a human (yes, hundreds of them) because we believe that candidates' efforts should be matched by an equal level of human care. This means that we expect a similar level of attention put into your application. Read and answer the application questions carefully, they make a huge difference in our decision-making process. Profile to role fit: there was misunderstanding about the type of experience we expect from an Analytics Engineer and we received many applications from candidates who had never been exposed to a product-led environment or had been exclusively focused on SQL/dbt work when we're looking for both technical and stakeholders management and team collaboration experience. To be perfectly clear, this is NOT a Data Engineer role or a Data Analyst role! This is a heavily-driven dbt modelling role, experience in this area is critical. We've taken great care in writing this role description to reflect the reality of the job as best as possible, please ensure you read it carefully and highlight on your CV the experience relevant to what we are looking for. About your application English first. Since it's our company language, please submit your application in English. You'll be using it a lot if you join us. A fair look for everyone. Our talent team reads every single application to ensure the process is fair. To keep things running smoothly, we only accept applications through our system—our support team can't pass on calls or emails. Diversity drives us. We can only reach our goals if our team reflects the world around us. That starts with you hitting apply, even if you don't tick every single box. We encourage people from all backgrounds and experiences to join us. Interview at your best. We want you to feel comfortable throughout the process. If you have any accessibility requirements or need a specific format, email ----- We'll design a process that works for you. Your data is safe. When you apply, we process your personal data as a data processor. For more information on how Pleo processes personal data, read our Privacy Policy here . Applying for multiple roles? Nothing is stopping you, and we assess every role independently. However, we do look for alignment, so make sure you can explain why your interest and experience are right for each specific role. Reapplying. If you're applying for the same role again, please wait six months from your last decision before hitting submit. Find Jobs in United Kingdom on Arbeitnow

At Catawiki, every day brings the extraordinary! Whether it's Daniel Ricciardo's Formula 1 Car , a Woolly Mammoth's Skeleton , Lady Gaga's Jumpsuit or Usain Bolt's running shoe , we encounter exceptional objects every day. We're a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts. Having sold over 25 million unique objects, our mission is to become the world's most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we'd love to explore how you can join us. Taking ownership and driving impact Being open to change and feedback Being passionate about our mission and our customers. Your mission As Senior Manager – Data Engineering & Machine Learning, you'll lead Catawiki's established team of Data Engineers and Machine Learning specialists. You'll help the team grow, set its technical direction and build on work already underway across data foundations and production machine learning. The role spans two connected disciplines. You'll bring deep experience in either Data Engineering or Machine Learning Engineering, and enough breadth to set direction across the other. You'll partner with Product, Engineering, Analytics and business stakeholders to set priorities and connect the team's work to outcomes across Catawiki. What you'll do You'll lead the team through platform modernisation and product-facing ML work. Current priorities include modernising the infrastructure for serving production models, introducing a feature store to improve feature management and consistency across model training and serving, and strengthening observability and cost controls. You'll help set priorities and raise the reliability and impact of this work. Lead and develop the team: Set direction, coach experienced specialists and create clear ownership across Data Engineering and Machine Learning. Build dependable data foundations: Improve the pipelines, integrations and infrastructure the wider Data team relies on for analysis, reporting and machine learning. Strengthen production ML: Improve deployment, monitoring and operational follow-through for production models, so teams can run them reliably and resolve issues effectively. Advance marketplace models: Help teams improve recommendation, cancellation and bidder-risk use cases, connecting model performance to meaningful product outcomes. Set direction and priorities: Work with Product, Engineering, Analytics and business partners to choose high-value problems and balance delivery, reliability and long-term platform health. Shape the technology strategy: Reporting to the SVP Engineering, you'll join the Engineering Management team and help shape the direction of the Technology department. What you'll bring You combine strong technical judgement with experienced people leadership. You create clarity in a complex environment, empower specialists and make sound decisions across both disciplines. Your experience will include the following. Familiarity with Catawiki's current stack is useful, and equivalent experience with other platforms is welcome. Technical depth in one discipline: Deep experience designing, building and operating data-intensive systems in Data Engineering or Machine Learning Engineering, with practical knowledge of the other. People leadership: Experience leading experienced engineers or ML specialists, coaching their growth and setting clear expectations. Architecture and systems thinking: Ability to evaluate trade-offs and guide architecture for data platforms, distributed systems and production infrastructure. Production ML understanding: Experience with the deployment, monitoring and operation of machine learning systems in production. Business and product judgement: Ability to connect technical work to business goals, make priority calls and assess outcomes. Relevant cloud platform experience: We run on GCP using BigQuery, Vertex AI and Kubernetes. Experience with equivalent AWS services is also relevant. Streaming and integration experience: Kafka, event-driven systems or modern data integration tools are useful. Clear communication: Ability to explain technical trade-offs and align technical and non-technical stakeholders. How we work You'll lead a team of eight Data Engineers and Machine Learning specialists across Amsterdam and Lisbon. The team works closely with Product, Engineering, Analytics and business stakeholders to connect data and ML capabilities to real needs. Specialists own implementation while you set direction, priorities and clear standards. The team supports production data and ML systems, and has no on-call rotation. Where you'll be This is a hybrid role in Amsterdam. You will work from our Amsterdam HQ a minimum of 2 days per week. Why You'll Love Working with Us Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business. Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression. A culture of connection defines us . We're a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work. Celebrate life's moments with us. You'll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to "Pursue Your Passion " . We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location. Our Offices and Way of Working Our vibrant offices in Amsterdam and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based. Interested? Apply with an English CV and Cover Letter. By applying, you agree to Catawiki's Applicant Privacy Policy. If you're excited about this role but don't meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles. We may use artificial intelligence (AI) tools to support the review of your application. AI may help us assess how your experience matches the requirements of the role, but hiring decisions are always made by our recruitment team Find Jobs in Netherlands on Arbeitnow

We're looking for experienced software engineers to build AI coding tasks from a codebase they know well. US$1,000 per task, and you can do as many tasks as you want. You turn a real change from a repository you know into a task that today's best AI coding models struggle with: hard for the models, but fair for a skilled engineer. Your tasks are used to measure and train AI coding models. Remote, any location. US$1,000 per task that passes review. Minimum of one task a week, about 10 hours a week. How it works Apply. Complete a short screener interview and upload your resume. Propose. Once you're selected, pick a change from a repository you know and submit a short proposal. We approve it or suggest a better candidate. Build. In our platform, set up the repository as it was before the change, then write the brief, the correct solution and the grading checks. Stress-test. Try lazy, incorrect and shortcut solutions and make sure your checks catch them. Model testing. Run your task against leading AI models until strong models often fail but a skilled engineer can clearly solve it. Review. A reviewer checks your task and you revise it. Most tasks take more than one round. Next task. Once your task is accepted, start another. Requirements 2+ years of professional software engineering Code merged into a public open-source repository, ideally one you know well. A private codebase you own may also qualify (not employer or client code) Strong in at least one of Python, TypeScript, Go, Rust, Java or C++ Solid with Docker, Linux, Git and automated testing Regular use of an AI coding tool Experience writing tests, rubrics or evaluation criteria, ideally for AI models You can explain a change clearly and concisely, in your own words At least 10 hours a week, starting now A secure personal or work computer (no public or shared machines) Nice to have Deep expertise in one area, such as databases, compilers, distributed systems, security or infrastructure Experience building agent tasks or RL environments Terms US$1,000 for each task that passes our quality review, paid directly to you Once your proposal is qualified, you sign Askable's contract and accept its terms The work is used for AI training. The change and your solution must be your own, and you must be free to license them to us Don't publish the work anywhere: no public pull request or public fork Apply at https://www.askable.com/experts/roles/senior-software-engineer Please mention the word LEVITY and tag RMmExMzpkMjAwOjEzOjcxOjox when applying to show you read the job post completely (#RMmExMzpkMjAwOjEzOjcxOjox). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here . We don't chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we're always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you'll be empowered to envision its most powerful applications, and to make them happen. About the Team Bringing medicine to patients is complex, expensive and high-risk. Faculty's Life Science's team is concentrated on building AI solutions which optimise the research and commercialisation of life-changing therapies. We partner with major pharma firms, academic research centres and MedTech start-ups to design and deliver solutions which address critical healthcare challenges, and help to democratise health for all. About the role Join us as a Lead Software Engineer to spearhead the technical direction and delivery of complex, innovative AI and software projects. You will act as a technical expert, applying your skills across various projects from solution architecture to client-side deployments, while ensuring engineering decisions are sound and reliable. This role demands deep technical expertise and a genuine curiosity for solving hard engineering problems, focusing on driving innovation and building reusable solutions across the organisation. If you're ready to get hands-on with practical, innovative outcomes, this is your chance to shape our future. What you'll be doing Setting the technical direction for complex ML and software projects, balancing trade-offs, and guiding team priorities Architecting, implementing, and maintaining reliable, scalable ML/software systems, and justifying key architectural decisions. Defining project problems, developing roadmaps, and overseeing delivery across multiple workstreams in often ill-defined, high-risk environments. Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them. Leading hiring processes, making informed selection decisions, and mentoring multiple individuals to foster team growth. Proactively developing and executing recommendations for adopting new technologies, tools and changing our ways of working to stay ahead of the competition. Acting as a technical expert and coach for customers, accurately estimating large work-streams and defending rationale to stakeholders. Who we're looking for You are a technical expert among your peers, capable of going deep on particular topics and demonstrating breadth of knowledge to solve almost any problem. You possess strong software engineering skills in Python and at least one compiled or strongly-typed language (e.g. Go, Java, Rust, or TypeScript), and know how to build robust, production-grade systems. You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build full-stack web applications. You have hands-on experience with containerisation tools like Docker and orchestration via Kubernetes. You can successfully guide and support a team of engineers, helping them deliver great work for clients. You find novel, clever solutions for project delivery and take ownership for successful project outcomes. You're an excellent communicator who can proactively help customers achieve their goals and guide both technical teams and non-technical stakeholders. Our Interview Process Talent Team Screen (30 minutes) Introduction to the role (45 minutes) Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial & Leadership Interview (60 minutes) Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We're united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI. Find Jobs in United Kingdom on Arbeitnow

About Tavily We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed. We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world. The Role We are looking for a Senior Software Engineer to build the web access infrastructure behind a novel search engine designed for agentic AI. In this role, you will investigate how modern websites communicate with browsers and translate that understanding into production systems operating at internet scale. You will build browser infrastructure and tooling that enables reliable, efficient access to web content across a rapidly changing web. Your responsibilities will include: Research and analyse how modern websites communicate with browsers across the complete request lifecycle Investigate browser fingerprinting, client verification mechanisms, and modern web technologies to enable reliable web access Build tooling for browser instrumentation, debugging, observability, and large-scale experimentation Translate technical research into production systems operating at internet scale Requirements You have 5+ years of experience as a software engineer working on production backend or infrastructure systems, and are an expert in several of the following areas: Browser Technologies Chromium architecture and browser internals Browser lifecycle and navigation Chrome DevTools Protocol (CDP) Playwright, Puppeteer, Selenium, or similar browser automation frameworks Browser instrumentation and debugging Web Platform HTTP/1.1, HTTP/2, HTTP/3 — TLS, DNS, and browser networking Cookies, browser storage, caching, redirects, and session management JavaScript execution and modern client-side rendering Resource loading, page lifecycle, and browser networking Browser fingerprinting concepts and browser characteristics Nice to Have Experience working on browser engines or browser infrastructure Experience reverse engineering browser or web application behaviour Experience building internet-scale distributed systems Go, C++, Rust, or Python Kubernetes and cloud infrastructure We conduct coding interviews as part of the process. Why Tavily ? Full ownership — small team, you own the entire infrastructure, not a slice of it Real scaling challenges — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests AI-native company — your infra directly powers AI agents used by leading companies in the space. Find more English Speaking Jobs in Netherlands on Arbeitnow

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. We are seeking a Senior ML Engineer to join a fast-growing team building an agent-native search platform for AI systems, the emerging web access layer for AI. You will develop and deploy machine learning models that power retrieval, ranking, and indexing at scale, helping AI systems access fresh, reliable information in real time. This is a high-impact role working on a production system used 24x7, tackling challenges comparable to large-scale web search. Your responsibilities: Design, train, and deploy ML models for retrieval, reranking, and search relevance in production Build and optimise embedding-based indexing and large-scale retrieval systems Develop models supporting crawling, data selection, and content understanding Define and improve quality metrics for agent-native search and build evaluation pipelines Work on systems operating at very large scale, including high-throughput query workloads Collaborate closely with engineering teams to integrate ML models into production services Analyse performance trade-offs across latency, quality, and cost Experiment with and apply state-of-the-art techniques in search, retrieval, and LLM-integrated systems Contribute to product and architectural decisions in a fast-moving environment Must-haves: 5+ years of experience in software engineering or applied machine learning Strong programming skills in Python, Go, or C++ Proven experience deploying ML models in production systems Hands-on experience with retrieval, ranking, recommendation, or similar ML problems Strong understanding of machine learning and modern deep learning techniques Experience working with large-scale data systems and high-throughput environments Ability to design evaluation frameworks and define meaningful model metrics Product-oriented mindset with a focus on impact and iteration Strong problem-solving skills and ability to work in a distributed team Nice-to-haves: Experience with search systems or large-scale information retrieval Familiarity with embeddings, transformers, and modern NLP systems Experience working on LLM-powered or agent-based systems Contributions to open-source projects, technical publications, or conference talks Participation in competitive ML (e.g. Kaggle) or similar signals of strong technical ability Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know. Find Jobs in Netherlands on Arbeitnow