Find Your Dream Career

We are looking for a hands-on Software Test Engineer to ensure the quality and reliability of software solutions used in real-world sensing and data processing systems. Optics11 is a deep-tech company developing advanced fiber-optic sensing technologies for challenging environments and applications in energy and underwater security. Our systems enable high-performance sensing and monitoring through advanced photonics, signal processing, and data-driven intelligence. We are expanding our R&D team with a Software Test Engineer who is passionate about quality, structured validation, and delivering robust software in complex engineering environments. As a Software Test Engineer, you will be responsible for defining and executing practical software tests to validate software components (including algorithms, cloud back-end, and user interfaces) that process sensor signals generated by fiber-optic sensing systems. You will work closely with data scientists, signal processing specialists, back-end developers, and software architects to ensure that products meet functional and non-functional requirements. This role requires a hands-on professional with a proactive mindset, a structured approach to software testing, strong attention to detail, and the ability to understand complex technical systems and translate requirements into effective test strategies. Key Responsibilities Perform functional, integration, regression, system, and end-to-end testing across edge devices, cloud services, APIs, databases, and graphical user interfaces. Define test strategies, test plans, test cases, acceptance criteria, and automated test scripts for an edge and cloud software platforms. Identify, document, and track software defects, ensuring clear reproduction steps and proper follow-up. Collaborate with product owners, developers and engineers to understand system requirements and ensure test coverage. Contribute to the development and maintenance of automated test frameworks and pipelines. Test edge–cloud behaviour under interrupted connectivity, delayed or duplicated messages, device restarts, software updates, and synchronization failures. Validate software performance, reliability, and stability under different operating conditions. Support testing of software running on edge hardware, including hardware–software integration in laboratory and field environments. Analyse test results and provide clear, actionable feedback to development teams. Ensure traceability between requirements, test cases, and test results. Integrate automated tests into GitLab CI/CD pipelines and help define appropriate quality gates. Contribute to continuous improvement of testing processes, tools, and quality standards. Participate in release readiness reviews and ensure software meets quality benchmarks before deployment. Join one of Europe's most promising deep-tech scale-ups. Shape the future of a rapidly growing multidisciplinary R&D organization. Competitive salary and benefits package. Enjoy regular team activities and company events. Fresh team lunches provided 3 times/week. Requirements: Technical skills Familiarity with test management and bug tracking tools (e.g., Jira, TestRail). Programming or scripting skills (e.g., Python, C++, Javascript or similar). Experience developing automated tests using tools such as Pytest, Playwright, Cypress, Selenium, or comparable frameworks. Experience testing web-based graphical user interfaces. Experience testing REST APIs, back-end services, or distributed software components. Experience with Docker, AWS, Gitlab , Linux and CI/CD pipelines. Ability to design structured, maintainable, and reproducible automated tests. Familiarity with behaviour-driven development and Gherkin specifications. Qualifications: A degree in computer science, software engineering, embedded systems, or a related technical discipline or equivalent practical experience. Proven experience in software testing or quality assurance. Strong understanding of software testing methodologies and lifecycle. Experience with both exploratory/manual testing and automated testing. Experience testing integrated systems rather than only isolated software components. Proactive in identifying risks and gaps in requirements and investigating failures across multiple system components. Pragmatic and hands-on when working with hardware, software, test environments, and imperfect real-world data. Able to work independently while collaborating closely with different engineering disciplines. Able to communicate technical problems and quality risks clearly to both technical and non-technical stakeholders. Nice to Have: Experience with AWS or another cloud platform. Experience testing data-driven or signal-processing systems. Knowledge of embedded systems and hardware–software integration. Experience testing unreliable-network, offline, reconnection, synchronization, and recovery scenarios. Experience in high-tech, industrial, or defense-related environments. Experience with LabVIEW Security & Compliance: You'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening. Find Jobs in Netherlands on Arbeitnow

We are expanding our team with a Data & ML Infrastructure Engineer who will take ownership of the platform that enables data ingestion, processing, storage, and machine learning workflows across multiple products. Operating at the intersection of data science, software engineering, and cloud infrastructure, you will build the foundations and ensure that our ML systems are scalable, reproducible, and production ready. In this role, you will design, implement, and continuously improve a cloud-agnostic data and ML platform that supports multiple products and teams. You will be responsible for platform reliability, scalability, and cost-efficiency, while providing data scientists and ML engineers with the tools and infrastructure to efficiently develop, train, validate, and deploy machine learning models. You will serve as a technical bridge between the data science and IT/infrastructure teams, translating requirements into robust and maintainable systems. This role includes ownership of an existing vendor-delivered platform and its evolution into a fully automated, reproducible, and multi-product ML platform. Key Responsibilities: Design, implement, and maintain the data and ML platform infrastructure, including systems for data ingestion, storage, processing, and training. Ensure high availability, reliability, and uptime of the platform, as it is critical to the business value proposition. Maintain and evolve vendor-delivered platform components and ensure long-term maintainability and independence. Build and maintain data workflows, including tools for dataset versioning, experiment tracking, and model lifecycle management across multiple products. Enforce DevOps / MLOps practices, including CI/CD pipelines, Infrastructure-as-Code, and automated workflows. Develop cloud-agnostic and containerized solutions that can run across public and private cloud environments within EU constraints. Optimize data storage, lifecycle policies, and cost efficiency, including tiered storage and retention strategies. Implement and maintain monitoring and alerting systems (e.g., Prometheus, Grafana) for pipelines, infrastructure, and resource usage. Ensure data governance, security, and compliance, including access control, audit logging, and anonymization requirements. Collaborate closely with data scientists, ML engineers, and IT teams to deliver infrastructure that meets operational needs. Manage resource and cost controls, including budgets, approvals, and tracking. Contribute to documentation, operational runbooks, and onboarding materials for the platform. Why Join Us? Join one of Europe's most promising deep-tech scale-ups. Shape the future of a rapidly growing multidisciplinary R&D organization. Competitive salary and benefits package. Enjoy regular team activities and company events. Fresh team lunches provided3 times/ week. Required Qualifications: MSc or equivalent with 5+ years' industry experience in Computer Science, Data Engineering, Machine Learning, or a related field. Strong experience with data platforms, cloud infrastructure, and distributed systems (AWS, GCP, Azure). Proven experience with Infrastructure-as-Code (e.g., Terraform) and automated deployments. Experience with ML platforms and tools (MLflow, Feast, DVC, DataHub or equivalent). Experience with AWS Sagemaker or Google Vertex AI platforms. Experience with databases (MongoDB, PostgreSQL, InfluxDB or equivalent). Experience with message brokers and streaming systems (Kafka, RabbitMQ or equivalent). Hands-on experience with containerization (Docker/OCI) and orchestration (Kubernetes or similar). Experience with CI/CD systems (e.g., GitLab CI). Programming skills in Python. Experience with monitoring and observability tools (Prometheus, Grafana). Understanding of DevOps and MLOps practices. Ability to work across teams and translate requirements into scalable infrastructure solutions. Nice to Have: Knowledge of data governance, IAM, and security frameworks. Experience with cost optimization and resource management in cloud environments. Familiarity with multi-tenant or multi-product platform architectures. Experience working with EU data compliance constraints in energy, maritime or defense. Security & Compliance: You'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening. Find more English Speaking Jobs in Netherlands on Arbeitnow

Who We Are WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets. WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients' businesses. VML, part of WPP, supports WPP Enterprise Solutions by helping brands activate transformation through creativity and experience. About the role WPP Enterprise Solutions in Amsterdam is the central hub for SEO and GEO expertise across the WPP network. From our team, we work with major national and international organisations on complex challenges across search, websites, digital platforms and AI-driven discovery. Our team currently consists of ten SEO and GEO specialists and is growing rapidly. We are therefore looking for a Senior Technical SEO Specialist to strengthen our technical capabilities. This is explicitly not a traditional SEO role with some technical SEO added on top. We are looking for someone who approaches SEO from a technical perspective. Someone who understands how websites, platforms, JavaScript frameworks, crawlers, rendering, APIs and search engines interact, and who can independently investigate and solve complex technical problems. You are comfortable working with SEO specialists, developers, solution architects, product teams and other technical stakeholders. You are able to go deep into the technology when needed, while also translating complex findings into clear priorities, recommendations and implementations for enterprise clients. What you will do As a Senior Technical SEO Specialist, you will be responsible for the technical quality and scalability of our SEO solutions. You will work on complex websites and digital ecosystems where standard SEO checklists are simply not enough. Your responsibilities will include: Conducting advanced technical SEO audits for large and complex websites, platforms and international domain structures. Analysing crawling, indexing and rendering to identify the root causes of technical SEO and indexation issues. Working with modern JavaScript frameworks and rendering architectures, including SSR, CSR, SSG and hybrid rendering. Analysing HTML, JavaScript, HTTP requests, response headers, status codes, redirects, canonicalisation and robots directives. Investigating and optimising crawl architecture, internal linking and information architecture for websites with hundreds of thousands or millions of URLs. Advising on complex technical challenges involving migrations, replatforming, URL structures, faceted navigation, pagination, internationalisation and hreflang. Performing log file analysis to understand how Googlebot and other crawlers interact with websites and to improve crawl efficiency. Developing scripts, tooling and automation that make recurring analyses faster, more reliable and more scalable. Reviewing technical solutions, specifications and implementations from an SEO perspective before they go live. Working closely with developers and engineering teams to translate SEO recommendations into clear technical requirements and tickets. The technical expertise we are looking for For this role, we are looking for someone whose technical capabilities go well beyond using standard SEO tools. You have a strong understanding of: HTML, CSS and JavaScript, and can independently analyse source code and identify technical issues. HTTP and web architecture, including requests and responses, status codes, caching, redirects, headers and CDN behaviour. JavaScript SEO and the implications of client-side and server-side rendering for crawling, rendering and indexing. Technical concepts such as SSR, CSR, SSG, hydration and dynamic rendering. Crawling and indexing, and how search engines technically process websites. txt, XML sitemaps, canonical tags, meta robots, X-Robots-Tag and other crawling and indexing directives. Structured data and Schema.org. Core Web Vitals and web performance. International websites, hreflang and complex multi-market architectures. Website and platform migrations. Crawl budget and scalable website architectures. You do not need to be a software engineer in every area. However, we do expect you to be comfortable reading code, manipulating data, working with APIs and building scripts or technical solutions when needed. What seniority means to us Being senior means more than being able to independently deliver a technical SEO audit. We expect you to be able to break down complex technical problems where there is no obvious answer. You combine experience, data and technical knowledge to define your own investigative approach and develop solutions that can realistically scale within enterprise organisations. You will also: Proactively improve the way we work, using tooling and AI to increase efficiency, quality and impact. Make significant improvements to our SEO guidelines, workflows and processes. Develop innovative solutions to complex SEO challenges, including algorithm changes, large-scale site architecture, crawling and automation. Build frameworks, templates, scripts and automations that can be adopted across multiple clients and projects. Independently develop new approaches for challenges where no standard solution exists. Think beyond what needs to change and consider how solutions can be technically and organisationally implemented at scale. Help other SEO specialists grow their technical capabilities. Act as a senior technical sparring partner for our clients. What you'll need: 10+ years of experience in Technical SEO, with a strong track record of solving complex technical SEO challenges for large-scale, international and/or enterprise websites. Currently based in the Netherlands and able to work from our WPP office in Amsterdam. Deep technical knowledge of how modern websites are built, crawled, rendered and indexed, including strong expertise in HTML, JavaScript, HTTP, web architecture and rendering technologies. Strong experience working with l arge and complex website architectures, including crawling and indexation, faceted navigation, internationalisation, migrations, internal linking and crawl budget optimisation. Experience with Python and/or JavaScript for scripting and automation is highly desirable, as is experience with SQL, BigQuery or comparable data environments. A proven ability to turn complex technical findings into clear, actionable recommendations for developers, product teams, architects and senior stakeholders. Experience developing scalable frameworks, tooling, templates or automations that can be applied across multiple clients or projects. An eager and proactive mindset, with a strong interest in exploring how AI, automation, emerging search technologies and GEO can improve both our work and our clients' performance. Fluent in English. Dutch is highly desirable. What we offer: We offer a competitive salary, a vibrant and collaborative culture and ample opportunities for professional growth. You'll be part of a global network of talent, working on projects that truly make an impact. Our compensation: A gross annual salary range of 80,000€ - 95,000€, based on experience level. Hybrid working flexibility. Access to learning platforms . Wellbeing initiatives including mental health support programs and wellness activities. Employee discounts and access to WPP/VML global benefits ecosystem. Participation in team events, agency gatherings and cross-discipline workshops. At WPP ES, we believe in investing in people who build long-term value for our clients and their customers. Your growth is part of our growth. About WPP WPP is the trusted growth partner for the world's leading brands. With exceptional talent, trusted data and intelligence and world-class partnerships – all united by our agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com . WPP (VML/WPP Enterprise Solutions) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. When you click "Submit Application", this will send any information you add below to WPP (VML/WPP Enterprise Solutions). Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy . California residents should read our California Recruitment Privacy Notice . This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it. Find more English Speaking Jobs in Netherlands on Arbeitnow

We are AI builders Since 2018, Enjins has done one thing: ship AI that works in production. From Utrecht and Berlin, we build machine learning systems, data infrastructure, and agentic AI layers for European tech companies, with a deliberate focus on climate and energy, where we believe the biggest technological shift of our generation should meet its most critical challenge. We embed directly with the engineering teams of high-growth scale-ups like Crisp, PlanBlue, NextSense, and Groendus. We take ownership of the full technical lifecycle: from first architecture decision to a production-grade system running inside our partner's infrastructure, long after go-live. The role As Lead AI Engineer, you are the technical owner of client engagements. You architect the solution, ship it to production, and make sure it still performs a year later. Alongside the other Leads, you shape the engineering team and the way we build. In practice: Design AI roadmaps with client leadership and own them through to production Create and implement the AI solution architectures to deliver on those roadmaps Set and uphold Data Platform and MLOps standards across your client portfolio, so systems stay healthy after handover Mentor engineers and weigh in on hiring, team growth, and accounts Push our engineering practice forward, including how we use agentic coding workflows to build faster without compromising reliability. We test, document, and share what works, so the whole team levels up Elevate our product mindset to ensure we build the right things, not just more things Why a Lead role here, not somewhere else You'll work across more stacks, clouds, and frontier frameworks in a year than most engineers see in five, with the collective knowledge of the whole team behind you, not the isolation of freelance work. And because our clients build grid software, energy forecasting, and climate infrastructure, you develop real domain expertise in energy and climate systems on top of production-grade AI engineering. In your first months you'll join a client project alongside an experienced Enjins engineer, supported by a dedicated coach. Within half a year, you own the technical roadmap of at least one engagement, mentor engineers, and have a recognised voice in our Asset strategy. Requirements What matters most: you think in systems, own outcomes end-to-end, and grow the people around you. 5+ years building and scaling data & AI solutions in production environments Strong software engineering fundamentals: you write production-grade code and know your way around infrastructure (Docker, Kubernetes, CI/CD, data pipelines) Mastery of at least one major cloud platform (AWS, Azure, GCP) and experience leading MLOps/LLMOps architectures Proven experience taking LLM-based or agentic systems to production Experience mentoring engineers, overseeing delivery, and managing client accounts You can translate technical complexity into clear decisions for non-technical stakeholders Fluent in English and eligible to work in the Netherlands Benefits We publish our salary ranges and keep terms straightforward. No surprises. Compensation €5,950 - €7,800 gross per month (excl. holiday allowance, pension, bonus, equity, and AI-Leap benefits) Annual performance bonus of 1.5 months' salary Equity participation (VSOP) Growth AI-Leap: our structured development programme with a dedicated certification budget and a specialised track for Leads 1-on-1 mentoring with our founders and external coaching to close your specific gaps Team & culture Office on the Oudegracht in Utrecht (note: not yet fully accessible for individuals with physical disabilities); hybrid setup 28 vacation days, flexible across 3 national holidays Monthly team events and the annual two-day Enjins Summer Summit on AI × Climate OV-First travel policy, fully covered; meat-free catering Apple MacBook Pro and the tools you need Find more English Speaking Jobs in Netherlands on Arbeitnow

We are looking for a senior Java engineer with a strong performance engineering background to join a global financial technology platform team in Zurich. What you will be doing You will work within a cross-functional Scrum team on a high-throughput, enterprise-grade platform serving the global Securities Finance and Collateral market. Your focus will be on identifying and eliminating performance bottlenecks, rearchitecting critical components for scalability, and driving the platform's technical evolution alongside senior architects. What we are looking for 5+ years of hands-on Java enterprise development (Java SE/JEE, Spring, JPA/Hibernate) Real performance engineering experience acquired through development work: profiling, GC tuning, load testing, bottleneck analysis Strong SQL skills (Oracle, PostgreSQL, or SQL Server) Background in financial services or high-throughput enterprise systems Solid understanding of software design and enterprise architectural patterns Experience working in Agile, distributed team environments Strong communication skills in English Good to have Experience with Kubernetes/OpenShift CI/CD and DevOps practices Apache Camel or similar integration frameworks Find more English Speaking Jobs in Switzerland on Arbeitnow

Introduction As Head of Software Engineering (f/m/d) at orderbird, you will take overall responsibility for the organization, resource planning, and leadership of our engineering department. You will play a key role in shaping technical directions and building a scalable, high-performing engineering culture that sustainably supports our business and product goals. What you can look forward to Deutschlandticket, Egym Wellpass, JobRad, and a company pension scheme with a 100% employer contribution match from orderbird Hybrid work model – flexible working split between the office and working from home Access to nilo Health – 1:1 coaching sessions for your mental health and that of your loved ones Fast and clear decision-making processes alongside close collaboration across all departments An Apple hardware package Startup mentality combined with security, backed by a publicly listed parent company We celebrate our successes together! Whether at the summer party, a BBQ evening on our rooftop terrace, or just because A nest in Berlin: a rooftop terrace overlooking Berlin-Kreuzberg and our office dogs, who are already looking forward to meeting you Company Update every Wednesday: During our Breakfast Update, various teams take turns sharing updates on their projects. Every week, you'll stay in the loop on facts, figures, and meet new "birds" including fun facts An international team and no dress code – everyone is warmly welcome! Among other tasks you will be working on Strategic Leadership & Organization: You will lead our entire engineering team Translate business strategy into actionable engineering roadmaps Lead Engineering Managers, Staff Engineers, and Technical Product Managers, overseeing their performance and development while supporting the recruiting process for new team members Collaborate closely with the CEO, Product, Go-To-Market, and other key stakeholders on strategic planning, prioritization, and company-wide decision-making Manage the engineering budget, workforce planning, and external vendor/outsourcing strategy – aligning costs, capacity, and business value What you bring along for this role 5+ years of proven experience leading a larger and technically diverse engineering organization – ideally in a fintech environment or SaaS company, with a track record of actively developing internal talent into senior and leadership roles Strong background in infrastructure design and implementation, combined with end-to-end system architecture experience across production environments, ensuring systems are scalable, resilient, performant, and able to serve customers efficiently at scale. Technical understanding of modern software architectures and software development processes Ability to explain complex technical concepts clearly and comprehensively to non-technical stakeholders Tech & AI affinity: Keen interest in modern engineering tools, automation, and AI-supported workflows Keeping up with technology trends in SaaS and Payments areas Business-fluent English skills, both spoken and written Technology experience across several of the following areas: Mobile: iOS and Android, including Objective-C, Swift, and Kotlin Multiplatform Backend & Web: Python, Java, Django, React, PostgreSQL, and Redis Cloud & Infrastructure: AWS, Docker, Kubernetes, and CI/CD pipelines Observability: Sentry, Datadog, or comparable monitoring and observability platforms Payments: Payment terminal integrations and payment processing ecosystems Fiscalization: Experience with fiscalization and compliance requirements or regulated POS environments is a plus Find more English Speaking Jobs in Germany on Arbeitnow

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You'll Do Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous and domain-specific Work directly with clients to understand their workflows, validate AI behavior, and iterate toward production quality Partner with core engineering teams to generalize client-specific work into product features Contribute to shared AI infrastructure (agent frameworks, tool integrations, deployment pipelines) Monitor and maintain production AI systems with attention to reliability, cost, and performance Who You Are Prior professional software engineering experience Professional experience with Python (the team's primary language) Experience working with LLM APIs (Claude, GPT, or similar) including function calling and structured outputs Comfort with SQL for data exploration and building data-grounded AI workflows Experience with AI-assisted development tools (Claude Code, Codex, or similar) You've built something from zero to one. You're drawn to figuring out what to build, not just building what's specified. A bias for action. You ship quickly, learn from feedback, and iterate. You see projects through from prototype to production and care about what the client experiences, not what the code does BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience Nice to Have Experience building agentic systems (multi-step tool use, agent orchestration, durable workflows) Experience with additional backend languages (Java is valuable in our environment) Familiarity with financial data (portfolios, transactions, securities, accounting) Exposure to cloud infrastructure (AWS) and container-based deployments Experience with evaluation frameworks or methodologies for measuring AI system quality Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients' success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to <a ---------- Find more English Speaking Jobs in United Kingdom on Arbeitnow

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You'll Do Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous and domain-specific Work directly with clients to understand their workflows, validate AI behavior, and iterate toward production quality Partner with core engineering teams to generalize client-specific work into product features Contribute to shared AI infrastructure (agent frameworks, tool integrations, deployment pipelines) Monitor and maintain production AI systems with attention to reliability, cost, and performance Who You Are Extensive professional software engineering experience Professional experience with Python (the team's primary language) Experience working with LLM APIs (Claude, GPT, or similar) including function calling and structured outputs Comfort with SQL for data exploration and building data-grounded AI workflows Experience with AI-assisted development tools (Claude Code, Codex, or similar) You've built something from zero to one. You're drawn to figuring out what to build, not just building what's specified. A bias for action. You ship quickly, learn from feedback, and iterate. You see projects through from prototype to production and care about what the client experiences, not what the code does BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience Nice to Have Experience building agentic systems (multi-step tool use, agent orchestration, durable workflows) Experience with additional backend languages (Java is valuable in our environment) Familiarity with financial data (portfolios, transactions, securities, accounting) Exposure to cloud infrastructure (AWS) and container-based deployments Experience with evaluation frameworks or methodologies for measuring AI system quality Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients' success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to <a ---------- Find more English Speaking Jobs in United Kingdom on Arbeitnow

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. What You'll Do Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous and domain-specific Work directly with clients to understand their workflows, validate AI behavior, and iterate toward production quality Partner with core engineering teams to generalize client-specific work into product features Contribute to shared AI infrastructure (agent frameworks, tool integrations, deployment pipelines) Monitor and maintain production AI systems with attention to reliability, cost, and performance Who You Are Extensive professional software engineering experience Professional experience with Python (the team's primary language) Experience working with LLM APIs (Claude, GPT, or similar) including function calling and structured outputs Comfort with SQL for data exploration and building data-grounded AI workflows Experience with AI-assisted development tools (Claude Code, Codex, or similar) You've built something from zero to one. You're drawn to figuring out what to build, not just building what's specified. A bias for action. You ship quickly, learn from feedback, and iterate. You see projects through from prototype to production and care about what the client experiences, not what the code does BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience Nice to Have Experience building agentic systems (multi-step tool use, agent orchestration, durable workflows) Experience with additional backend languages (Java is valuable in our environment) Familiarity with financial data (portfolios, transactions, securities, accounting) Exposure to cloud infrastructure (AWS) and container-based deployments Experience with evaluation frameworks or methodologies for measuring AI system quality Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients' success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to <a ---------- Find more English Speaking Jobs in United Kingdom on Arbeitnow

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. What You'll Do Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous and domain-specific Work directly with clients to understand their workflows, validate AI behavior, and iterate toward production quality Partner with core engineering teams to generalize client-specific work into product features Contribute to shared AI infrastructure (agent frameworks, tool integrations, deployment pipelines) Monitor and maintain production AI systems with attention to reliability, cost, and performance Who You Are Extensive professional software engineering experience Professional experience with Python (the team's primary language) Experience working with LLM APIs (Claude, GPT, or similar) including function calling and structured outputs Comfort with SQL for data exploration and building data-grounded AI workflows Experience with AI-assisted development tools (Claude Code, Codex, or similar) You've built something from zero to one. You're drawn to figuring out what to build, not just building what's specified. A bias for action. You ship quickly, learn from feedback, and iterate. You see projects through from prototype to production and care about what the client experiences, not what the code does BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience Nice to Have Experience building agentic systems (multi-step tool use, agent orchestration, durable workflows) Experience with additional backend languages (Java is valuable in our environment) Familiarity with financial data (portfolios, transactions, securities, accounting) Exposure to cloud infrastructure (AWS) and container-based deployments Experience with evaluation frameworks or methodologies for measuring AI system quality Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients' success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to <a ---------- Find Jobs in United Kingdom on Arbeitnow

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working : If you're not located near one of our main hubs, we offer a monthly co-working stipend. What you'll do Build safety systems: Design, develop, and scale automated moderation systems, abuse detection capabilities, and guardrails for AI agents across ElevenLabs' products. Respond to emerging threats: Partner closely with the Investigations team to identify emerging abuse patterns, understand evolving threats, and continuously improve existing safety systems, detection mechanisms, and guardrails to address new risks. Own production infrastructure: Build and maintain a growing ecosystem of internal safety services, taking ownership of their architecture, deployment, reliability, monitoring, and ongoing operation. Bring ML models into production: Partner closely with ML engineers to deploy and integrate fine-tuned and proprietary ML models into production safety systems, ensuring they operate reliably and efficiently at scale. Build end-to-end solutions: Develop backend services, APIs, internal tools, and user-facing interfaces that enable effective moderation, safety operations, and policy enforcement. Collaborate across teams: Work closely with Product, Legal, and Safety Policy teams to translate business, regulatory, and policy requirements into scalable engineering solutions. Product: Understand and navigate the tradeoffs between product growth, user experience, and platform safety. Legal: Translate legal and regulatory requirements into practical, scalable safety systems. Safety Policy: Collaborate on how safety policies are implemented technically, while helping inform policy decisions through an understanding of engineering capabilities and constraints. Shape our technical direction: Contribute to architectural decisions and help define how our safety infrastructure evolves as our products, users, and safety challenges grow. Requirements 5+ years of software engineering experience building and operating production systems. Strong backend engineering experience, including designing APIs, working with databases, and building scalable services. Proficiency in Python and experience with modern backend frameworks. Experience building and maintaining distributed systems and cloud-based applications. Comfortable owning systems end to end, from technical design and implementation through deployment, monitoring, and ongoing maintenance. Experience working across different parts of the stack, with the ability to build internal tools or frontend interfaces when needed. Strong problem-solving skills and an ability to navigate ambiguous requirements and make pragmatic engineering decisions. Ability to collaborate effectively with engineers and non-technical stakeholders across different functions. Bonus Experience building Trust & Safety, content moderation, fraud detection, or abuse prevention systems. Experience building guardrails or safety infrastructure for AI agents and LLM-based applications. Experience deploying and integrating ML models into production applications. Familiarity with Kubernetes, Docker, CI/CD pipelines, and cloud infrastructure (AWS/GCP). Experience with monitoring and observability tools such as Prometheus and Grafana. Experience with React or other modern frontend frameworks. Experience with real-time data processing, event-driven architectures, or technologies such as Kafka and Redis. Location This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. #LI-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Find Jobs in United Kingdom on Arbeitnow

🚀 Why Midnite? Midnite is a next-generation sports betting and gaming platform built for a new wave of players. We combine sharp product thinking, bold brand, and fast execution to create experiences that feel modern, intuitive, and built for how people actually play today. Over 400,000 players have already made the move, and we're only just getting started. We're a high-performance team operating at pace. High ownership. Constant iteration. No hiding behind processes. We move quickly, test relentlessly, and turn ambitious ideas into real impact. If you're driven, creative, and thrive in fast-moving environments where you can shape meaningful outcomes - keep reading. Not your grandad's bookie. 👀 The Role Title: Senior Backend Engineer Team: Engineering Location: UK, Remote Salary: £90,000 - £110,000 per annum We're looking for skilled Senior Backend Engineers to join our engineering team. We have multiple opportunities available across a range of different areas. In this role, you'll build and maintain the backend systems that power our product experience, develop APIs that support our mobile and web applications, and deliver robust, maintainable code, all within a fast-paced, daily deployment environment. Our backend is primarily built in Python and runs on AWS. We use technologies including Flask, Pytest, Mypy, Docker, PostgreSQL, SQS, S3, and Terraform. Experience with this stack is a plus, but it's not essential, what matters most is strong backend fundamentals and a commitment to high engineering standards. You don't need prior gaming or casino experience. We're looking for someone with solid technical foundations and the curiosity to learn and grow within the domain. You will: Own the full backend lifecycle — Design, develop, test, monitor and maintain backend services for our systems. Build the APIs that power the experience — Create clean, efficient, and well-documented APIs for our web and mobile applications. Champion code quality — Write high-quality, maintainable code with a focus on reliability, scalability, and performance. Raise the engineering bar — Participate in code reviews and help uphold the quality and consistency of the codebase. Shape technical direction — Contribute to architectural decisions and broader technical strategy. Collaborate across teams and partners — Work closely with engineers, product teams, and external vendors to integrate third-party systems seamlessly. Ship with confidence and speed — Deliver features and improvements in a continuous deployment environment. Keep us ahead of the curve — Stay current with industry trends, best practices, and emerging technologies. The next Midniter: 5+ years of professional backend engineering experience building and operating production systems at scale. Strong proficiency in Python (or another backend language with willingness to learn Python) Strong experience designing, building, and operating event-driven architectures using messaging and streaming technologies such as Kafka. Proven track record of designing, delivering, and owning significant backend systems from conception through to production. Strong understanding of system design, distributed systems, scalability, reliability, performance, and observability. Experience working with PostgreSQL and caching technologies such as Redis. Comfortable building and operating cloud-native applications on AWS. Demonstrated ability to take ownership of problems end-to-end, driving solutions from discovery and design through implementation, deployment, and ongoing operation. Strong collaboration and communication skills, with experience working closely with product, design, and engineering stakeholders. A pragmatic approach to software engineering, balancing technical excellence with delivering value to customers. Find Jobs in United Kingdom on Arbeitnow