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We are MOTOR Ai . Our mission is to make Level 4 autonomous driving a reality in Germany and beyond. By combining state-of-the-art AI with the expertise of our multidisciplinary team, we are poised to introduce the first solution of its kind in Germany that is eligible for certification on European roads. Since 2017, we have been steadfastly pursuing a single goal: to shape a future that is already in motion. What you will do Test our automated vehicles on public roads and in controlled areas, including manoeuvres, edge cases and regression checks after new software releases Prepare test sessions (software release, vehicle status, data recording) and turn logs and observations into structured reports Triage findings, identify root causes and hand them over as clear, reproducible tickets Create test plans and test cases, keep requirements traceable and check that they are testable Help improve our testing process, tooling and automation, using AI tools along the way What we are looking for 3+ years of experience in automotive or robotics testing, ideally hands-on with full vehicles Solid knowledge of vehicle systems and dynamics as well as a system-level understanding of ADAS/AD An analytical mindset and the ability to write precise, reproducible findings Experience with Jira, test management tools (e.g. DOORS) and AI tools; Python, ROS or vehicle data logging is a plus Fluent English; German is a plus Valid driving licence (class B), extensive driving experience and flexibility for field work A can-do attitude and the drive to deliver great results as a team Benefits Focus on people: Our strength lies in our diversity. We respect each other for who we are Genuine team spirit: working in teams that drive change forward - no matter how complex and extensive the projects are Your professional development is important to us - that's why we cover the costs of further education and training Flexible working hours - with room for the realities of life (parenthood, caregiving responsibilities, voluntary work, etc.) Whether it's fashion, beauty, travel or culture - you'll receive numerous discounts through our partner Corporate Benefits Social relevance: We work on solutions that have game-changing qualities Subsidy for public transport tickets Excellent transport links: attractive location in Wedding with very good public transport connections Excited about our vision and ideas? Do you see real value in autonomous driving for everyone? Then apply to MOTOR Ai and become an active part of a safe, explainable future of mobility. We particularly welcome applications from women and explicitly encourage them to apply for this position. At our new premises, we place great importance on getting to know one another and working together to drive our vision forward. Our international team is growing and working together on this exciting mission. Face-to-face collaboration is the key to success, which is why we have decided not to become a fully remote company. We ask recruitment consultancies and agencies not to submit candidate profiles without our prior express request. Any candidate profiles submitted without a prior written placement agreement signed by both parties shall be deemed to have been submitted unsolicited. No entitlement to placement fees or other charges shall arise from their use or from the subsequent recruitment of the candidate. Find Jobs in Germany on Arbeitnow

Our mission We're making Africa the first cashless continent. In 2017, over half the population in Sub-Saharan Africa had no bank account. That's for good reason—the fees are too high, the closest branch can be miles away, and nobody takes cards. Without access to financial institutions, people are forced to keep their savings under the mattress. Small business owners rely on lenders who charge extortionate rates. Parents spend hours waiting in line to pay school fees in cash. We're solving this by building financial services that just work: no account fees, instantly available, and accepted everywhere. In places where electricity, water and roads don't always work, you can still send money with Wave. In 2017, we launched a mobile app in Senegal for cash deposit, withdrawal, and peer-to-peer and business payments. Now, we have millions of users across 9 countries and are growing fast. Our goal is to make Africa the first cashless continent and that's where you come in... How you'll help us achieve it We're looking for an experienced security engineer who's independent, excited about getting things done, and ready to hit the ground running. You'll primarily be responsible for our application security, working with our product teams to work on new systems to enhance our security posture. Our customers trust us with their money, and you'll be at the forefront of making sure we retain that trust! This broadly scoped role will allow you to get your hands on many different types of security projects, from direct application security to helping our infrastructure team think about security for our databases. As we integrate AI-powered agents into our engineering and operations workflows, you'll help define and enforce the guardrails around how we use them safely. This includes securing agentic tooling against prompt injection, excessive permissions, and data exfiltration — and building the policies and technical controls to govern AI usage across the company. Some experience with common industry certifications like ISO-27001 and PCI-DSS would be beneficial, although you won't be expected to run or oversee audits. Our to-do list changes constantly, but here are some recent projects: Design our agentic SIEM/SecOps pipelines to evaluate and tune AI-driven triage, alerting, and response automation Secure our MCP integrations against prompt injection, tool misuse, and credential exposure Tune and maintain code security review agents tailored to Wave's codebase, threat model, and regulatory environment Develop internal AI governance standards covering acceptable use, data handling, and audit requirements for LLM-powered tools Centralise application-level login and permissions enforcement including privileged access management Rework our approach to secrets management with ephemeral secrets and tighter access scopes Security review of our public-facing APIs Key details You can work remotely from anywhere (between UTC -5 and +4) with reliable internet access. Wave covers travel once per year to one of our operating countries in Africa, as well as a yearly stipend of $1200 to meet with coworkers. Our salaries are competitive and are calculated using a transparent formula. For this role, depending on your level of experience, we offer a salary of up to $185,800 USD (or local equivalent), plus a generous equity. We run performance reviews twice a year and award bonuses or promotions to strong performers who have been with the company for more than six months Major benefits: Subsidized health insurance for you and your dependents and retirement contributions (both vary from country-to-country). 6 months fully paid parental leave and subsidized fertility assistance. Flexible vacation, with most folks taking between 30-40 days per year. $10,000 annual charitable donation matching. Yearly travel to one of our African operating countries. Requirements Minimum of 7-8 years of professional experience with a minimum of 3-5 years of it spent in a security-related role Strong Experience with Python. Fluent English. You might be a good fit if you Are excited about finding the right balance between security and velocity. Have opinions on how to secure agentic AI systems and want to put them into practice Enjoy helping other engineers understand and implement secure patterns. Are not afraid to take on complicated systems. Are excited to work on lots of different security-related work, from audits to code refactors. Work to make things easier for the next engineer who will touch your code. Always try to improve as a programmer and colleague. Are interested in building governance frameworks for AI usage in a regulated financial services environment Have experimented with LLM-based security tooling and understand both the promise and the failure modes Push through hard problems without giving up. Have experience remediating non-conformities. Are interested in security-focused source code review and penetration testing. Have an interest in growing and mentoring a team. About Engineering at Wave You'll report to the Security Team Lead and work closely with the CISO, as part of a small 4 person security team, likely rotating with many of our Product and Platform teams, depending on the project you're working on. Each team is led by a product manager and mentored by a technical lead on the team. You'll be responsible for your own security projects as well as supporting the engineering organisation on security through advice and design review. We organize things to give you as much ownership as possible, so you'll typically be in charge of your projects from planning to delivery. Our stack (you only need prior experience with python and cloud technologies, if you need to work with anything else, we'll train you): backend: Python 3 (+ mypy) API layer: GraphQL Android frontend: Kotlin/Jetpack iOS frontend: Swift/SwiftUI web frontend: TypeScript/React database: Postgres infrastructure: GCP / Terraform orchestration: Kubernetes Our team We have a rapidly growing in-country team in Senegal, Côte d'Ivoire, Mali, Burkina Faso, The Gambia, Uganda, Niger, Sierra Leone, and Cameroon plus remote team members spread across the world. We're deeply passionate about our mission of bringing radically affordable financial services to the people who need them most. We foster autonomy for our employees. You'll own your projects at every stage, from understanding the problem to monitoring your solution in production. We raised the largest Series A in Africa in 2021. Our world-class investors, include Founders Fund, Sequoia Heritage, Stripe, Ribbit Capital, Y Combinator, and Partech Africa. We are on Y Combinator's top companies by revenue . How to apply Fill out the form below, and upload a resume in English and a cover letter describing your interest in Wave and the role. We review applications frequently and recommend that you apply to the role that most closely aligns with your skills, experience and career goals. Wave is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Find Jobs in United Kingdom on Arbeitnow

About Refractal Refractal is an AI security company building the infrastructure organisations need to defend against autonomous AI threats. 2026 has shown that generally capable intelligence is here. The challenge now is modernising security to stop AI-enabled threats, whether they come from internal agents going rogue or from attackers using AI to become more dangerous. Refractal was founded on cybersecurity and AI expertise from MIT, Microsoft, NASA and the U.S. Navy. Our product lets organisations detect AI-enabled threats at low cost without sacrificing detection quality. We take a practical approach to AI risk, combining proven cybersecurity methods with frontier AI security research. Today, we work with governments and organisations that can't afford to get security wrong. We're backed by leading deep-tech and cybersecurity investors and are growing the team to deliver on this mission. The role You'll own the machine-learning models behind Refractal's detections in production, which decide in milliseconds whether an action is safe, and the analysis that shows how well they perform for each customer. What you'll do Train, tune and ship classifiers for prompt injection, data exfiltration, policy violations and other risky AI activity. Design low-latency models, including distilled and small models and rules-plus-ML ensembles. Analyse production telemetry for drift, blind spots, false-positive cost and new attack patterns. Build evaluations and benchmarks for our detection models, and work with security engineers to turn new attacks into training data. Turn company policies and regulatory requirements into measurable controls. Success in your first six months Detection models you own are in production, with quality metrics tracked per customer. You've reduced false positives or latency measurably without losing detection quality. Production data feeds a regular cycle of model improvements. About you: essential 5+ years in applied ML or data science, with models shipped to production. Strong Python, PyTorch or similar, and solid statistics for evaluation. Hands-on NLP and LLM work: fine-tuning, embeddings, classification and LLM-as-judge. Experience measuring fuzzy problems, including labelling, agreement and drift. Clear communication of trade-offs to engineers and customers. Nice to have Experience with adversarial ML, safety or content-moderation models. Published work on evaluations or AI security. Our values Radical transparency. We believe the best work happens when everyone feels able to give and receive honest, constructive feedback. Public service. We see AI security as a form of public service. Getting the AI transition right means putting the right infrastructure in place to manage the threats that come with it, and our work helps protect the institutions and services society depends on. Fail fast. We test ideas early, seek feedback and learn quickly. We experiment rapidly and change course when something isn't working, without compromising on security. Pragmatism, not dogmatism. We choose approaches based on how well they solve the problem. That means combining established cybersecurity methods with frontier AI research, questioning our assumptions, and changing our minds when the evidence changes. Compensation and benefits Salary: £85,000–£145,000 Competitive equity to share in Refractal's growth Pension contribution Private medical and dental cover Visa and relocation support Compensation: £85K – £145K • Offers Equity • £85K – £145K • Offers Equity Find Jobs in United Kingdom on Arbeitnow

About IonQ: IonQ, Inc . [NYSE: IONQ] is the world's leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ's newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance . Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. Location: This role is based onsite in Geneva, Switzerland. Travel: Job ID: 1917 The Role: We are looking for a Staff QA Engineer to join our team building post-quantum cryptography (PQC) hardware acceleration for HSM and network-appliance products. You will own product-level quality assurance: the system test plans, automation and compliance test execution that stand between an engineering release and a product customers can trust. In a security product, QA is not an afterthought; it is part of the evidence. Responsibilities : You will define and execute system-level test plans for FPGA-based cryptographic products: functional, performance, stress, stability and negative testing across the full stack, from hardware through firmware and drivers to cryptographic APIs. You will build and maintain the automated QA infrastructure (regression suites, hardware-in-the-loop test benches, CI integration, results dashboards), execute standards-based compliance test campaigns (NIST ACVP/CAVP test vectors, FIPS 140-3 evidence runs, CNSA 2.0 checklists and standard FPGA compliance tests) together with our verification and security engineers, run interoperability testing against protocol stacks and customer-representative configurations, own defect tracking and triage, and define the release-qualification criteria for every product release. Own system-level QA of cryptographic hardware products: test plans, automation, execution and release qualification Execute standards and compliance test campaigns (ACVP/CAVP vectors, FIPS 140-3 evidence, CNSA 2.0 and FPGA compliance tests) as part of the certification effort Requirements: We are looking for a candidate with a Bachelor's or Master's degree in Computer Science, Electrical Engineering or a related field (or equivalent experience) and at least five years in quality assurance or system test of embedded, hardware or networking products. You have built test automation in Python or similar, integrated it into CI, and worked hands-on with lab equipment and hardware-in-the-loop setups. Exposure to security or compliance testing (FIPS, Common Criteria, or telecom/industrial certification regimes) is a strong plus, as is experience testing cryptographic or networking functionality. You are rigorous, methodical and precise in documentation, because in this product your test reports become certification evidence. Fluency in English is required; French or German is an advantage. Experienced system-test/QA engineer for embedded or hardware products with strong automation skills Compliance or security test experience and meticulous documentation habits are strong advantages Preferred Qualifications: You take professional pride in being the last line of defence before a release, you like breaking things methodically so customers never do, and you enjoy the extra weight QA carries when the product is a security device. Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401(k), unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying "U.S. Person" (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply! Find more English Speaking Jobs in Switzerland on Arbeitnow

About HappyRobot HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate through voice and email - they make decisions, take action, and run operations autonomously across entire enterprise systems. Born in Y Combinator (S23) and backed by a16z, Base10, Prysm Capital and Eurazeo with over $200M raised, we power critical operations for global enterprises worldwide. Our platform is battle-tested in the most demanding environments, where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto. About the Role As a Customer Support Engineer , you'll be on the front lines of our customer experience. You'll work directly with customers to quickly triage issues, debug problems, and ensure they're getting the most out of HappyRobot's AI platform. This role is a hybrid between technical support and customer engineering: you'll diagnose issues, design and test quick solutions, and collaborate closely with both engineering and product teams to make our platform even stronger. You'll also apply prompt engineering skills to help customers fine-tune their AI workers, ensuring accuracy, reliability, and speed across real-world logistics workflows. This role is ideal for someone with strong technical fundamentals who wants to grow into a more senior customer engineering or product-facing position over time. Tech Profile Comfortable Full-Stack: Python, React, TypeScript, Node.js. Experience managing APIs and integrations with third-party systems. Some exposure to infrastructure and cloud deployments. Familiarity with LLM prompting and tuning of voices/transcribers; eager to experiment and iterate. Strong debugging and problem-solving skills — quick at identifying the root cause of issues. Must Have Excellent written and verbal communication skills in English — able to explain technical concepts clearly to non-technical stakeholders. Strong ability to triage, prioritize, and resolve issues independently under tight deadlines. Curiosity and adaptability: you can learn customer workflows quickly and propose solutions. Self-starter mindset — comfortable working independently, with a bias toward action. Passion for delivering outstanding customer experiences. Why join us? Join a world-class team of engineers and builders. Backed by top investors including a16z, Y Combinator, Base10, Prysm Capital and Eurazeo. Have ownership and autonomy of projects and are encouraged to ship. Comprehensive Benefits including healthcare, dental, vision coverage. Competitive salary + equity in a high-growth startup. Our Operating Principles Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it's not "your job." If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don't wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for "just fine." We sweat the details because details compound. Whether it's a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody's watching. We are "majos" Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. "Majo" is our way of saying: be a good human. Be approachable, helpful, and warm. We're building something ambitious, and it's easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We're running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; 'exceptional performance is the passing grade.' Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that's how we win. First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don't copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It's how we build what others think is impossible. The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller. By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer. In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data. If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through ----- subject to the GDPR. For more information, visit https://www.happyrobot.ai/privacy-policy By submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described. Find more English Speaking Jobs in Germany on Arbeitnow

Your mission You train the technical teams of strategic cloud partners to build, integrate and support AI applications with confidence. Your audience is solution architects, field engineers, developers, technical consultants and sales engineering teams. You take a proven AI curriculum and make it work for cloud partner audiences: real deployment scenarios, partner-specific examples, live troubleshooting. You are the technical face of our client in the room. Your tasks include: Deliver instructor-led bootcamps, technical workshops, train-the-trainer sessions and hands-on labs for cloud partner organisations. Adapt core AI training content for partner audiences such as solution architects, field engineers, developers and partner enablement leaders. Translate AI capabilities into practical cloud scenarios, reference architectures and customer-facing use cases. Lead practical exercises on how to build, integrate, deploy, evaluate and support AI applications in cloud environments. Troubleshoot participant issues live, from lab setup and API calls to code samples and implementation questions. Work with program leadership and partner enablement stakeholders to refine delivery plans and localise examples. Keep delivery quality high across regions, cohorts and groups with different technical maturity. Capture recurring knowledge gaps and recommend improvements to content, labs and facilitation guides. Your profile You move comfortably between developer-level detail, cloud architecture context and an executive-friendly explanation. You are energised by teaching complex material and you earn credibility with engineers by knowing your stuff. Experience & Education More than 5 years of professional experience in technical training, developer education, solution architecture, technical consulting, partner engineering, software development or cloud enablement. Experience delivering technical workshops, bootcamps, labs or train-the-trainer sessions for professional audiences. Strong practical fluency with generative AI, LLM concepts, prompt engineering, APIs, SDKs and modern AI application patterns. Hands-on familiarity with cloud platforms and partner environments such as AWS, Google Cloud, Microsoft Azure or Oracle Cloud. Fluent English; a second language (French, Spanish or German) is a strong plus. Located in or near a major EMEA city with an airport (for example Paris). Willingness to travel for partner workshops and regional programs (approx. 25-35%). Of advantage: familiarity with Amazon Bedrock (AWS Bedrock). Of advantage: experience enabling cloud partners, hyperscalers, systems integrators or partner field organisations. Of advantage: experience building hands-on labs, certification pathways or partner academies. Skills & Attributes Explains cloud and AI concepts clearly to engineers, architects and business stakeholders alike. Facilitates live technical labs and solves setup, code and API issues on the spot. Strong executive presence and professional conduct with senior partner stakeholders. Adapts content and communication style to different proficiency levels, regions and roles. Reads, explains and lightly modifies sample code in Python or JavaScript. Understands RAG, vector search, AI agents and workflow orchestration well enough to teach them. Of advantage: experience with developer relations, sales engineering enablement or solution architect training. Why us? You teach AI to the people who bring it to enterprise customers, with a premium learner experience as the standard. Impact: Your sessions build the technical confidence that drives AI adoption across partner field teams in EMEA. Responsibility: You own the delivery quality of your workshops and represent a leading AI company directly with strategic partners. Dynamics: AI products change fast, and so does your content; you work in a small team that decides quickly. Development: Product training and credentialing are provided, and you grow into a specialist role in a new, high-visibility training program. Benefits Home office option Flexible working hours Fitness subsidy Apple hardware (laptop & iPhone) These are the recruiting steps that await you: Culture Fit - Get to know Rike or Kim from our People team. Learn more about nonplusultra and our culture. Content & Role Fit Interview - Go deeper into the role with Matze Schulz and a technical colleague from OpenAI. Case Study - Work through a practical training scenario together with Matze Schulz and a technical colleague from OpenAI. Find more English Speaking Jobs in France on Arbeitnow

Forward Deployed Engineer - Mexico About the Company We're partnering with an AI-native operating system for supply chains used by wholesalers, manufacturers, retailers, and traders. The platform integrates logistics and procurement data through connections with internal and external systems, enabling predictive analytics and automated workflows that improve fill rates, reduce inventory levels, and optimize cash-to-cash cycle time. By leveraging predictive analytics and automation, the company helps large enterprises reduce costs, unlock additional revenue, and prevent under- or over-stocking across complex global supply chains. Role Overview The Forward Deployed Engineer (FDE) is the person who makes the platform work in the real world. This role sits at the intersection of engineering, client operations, and AI implementation — and owns the technical execution of how the platform gets built into each client's environment. The FDE works directly with clients and the Implementation team, learns how each client's systems and operations actually run, and builds the integrations, automations, and AI solutions that make the platform mission-critical. This is a first-of-its-kind role at the company — the person who takes it will be defining what forward deployment looks like here. Key Responsibilities Build integrations between the platform and client systems — ERPs, WMS, TMS, data warehouses — writing real code to connect, extract, and transform data across environments Deploy alongside clients in their environment — understand how their teams actually operate, where data breaks, and what needs to be built or configured to run reliably Design, implement, and iterate on AI workflows using the company's platform — agentic flows, prompt engineering, context design, and output evaluation — tuned to each client's specific supply chain use cases Own the reliability, performance, and continuous improvement of live deployments — monitor outputs, identify failure modes, and fix them without waiting to be asked Translate what you build and learn in the field into structured product feedback, technical documentation, and reusable playbooks — so the next deployment starts smarter than the last Profile We're Looking For You build things: Min. 2-4 years of hands-on engineering experience — Python, REST APIs, SQL — and a portfolio of real integrations or systems you've shipped, not just designed You operate in ambiguity: comfortable walking into a client environment without a complete spec, asking the right questions, and figuring out what needs to be built — without waiting for perfect requirements You understand data end-to-end: how it flows across systems, where it breaks, and what it takes to make it clean and reliable enough for AI to use — SQL or equivalent is second nature You have a working understanding of AI and LLMs: enough to design prompts, evaluate outputs critically, and know when a model result looks right but isn't You communicate clearly across audiences: can explain a technical integration to a VP of Operations and write clean documentation for an engineer — in both Spanish and English You own what you ship: high accountability, low ego — you track down the root cause, fix it, and make sure it doesn't happen again Based in LATAM or the US, available to work across time zones and travel to client sites when needed Nice to Have Background in supply chain, logistics, or operations — you'll understand what stockouts, fill rates, and OTIF mean without needing a glossary Experience integrating with enterprise systems like SAP, Oracle, or similar ERPs and WMS platforms Previous experience in a forward-deployed, solutions engineering, or customer-facing technical role Find Jobs in Germany on Arbeitnow

Slingshot AI Slingshot AI is the team behind Ash, the first AI designed for mental health. Our mission is to make support more accessible and help people change their lives in the ways they want. We're building a world-class team by empowering individuals with the autonomy, flexibility, and support they need to do their best work. We dream big, iterate fast, and care deeply. If that sounds like you, we'd love to hear from you. Our team spans machine learning, product, engineering, conversational design, clinical, growth, and operations, with offices in both New York City and London. We're a well-funded Series A company, having raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, plus top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others. The role We're hiring a leader to help shape how we approach trust and safety at Ash, in our model and in our product. People bring deeply personal things to Ash. That creates difficult questions about how the product should behave, how we respond when something goes wrong, and how we protect people while respecting their privacy and autonomy. You'll work alongside psychologists, researchers, and machine learning engineers to develop novel systems for AI in a sensitive domain. You'll help us answer hard, ambiguous questions about our model's policy, investigate, research, develop new policies, and implement them, and communicate clearly about them to both internal and external audiences. The role combines strategy, hands-on operations, and communication. You might spend one day working through a difficult safety decision with our clinical and legal teams, the next building a process for handling user reports, and the next writing an explanation of our approach for the public. We're looking for a thoughtful generalist who learns quickly, makes things happen, and cares deeply about getting this right. What you'll do Develop our principles and policies. Work through questions where safety, privacy, user autonomy, and product usefulness pull in different directions. Research the problem, seek expert input, and make a reasoned recommendation. You'll work with our team, our advisors and experts and others to build principles for how to handle decisions. Turn ambiguous issues into clear decisions. Investigate user reports, emerging risks, and new requirements. Establish what we know, what remains uncertain, and what we should do next. Make the response work in practice. Build clear processes for triage, investigation, escalation, and follow-through. Define who does what, create the tools and documentation they need, and handle the operational details yourself. Turn learning into product improvements. Work with engineering, machine learning, clinical, and legal colleagues to translate findings into changes to Ash and the systems around it. Build, test, and improve quickly. For new systems, put a useful first version in place, learn from real cases, and refine it. Match the pace and level of review to the consequences of the decision. Write clearly, internally and externally. Produce policies, practical guidance, and public explanations of our safety approach. Help communicate our evaluations and findings, including their limitations. You'll build initiatives or benchmarks we can share with the outside world to help us and the industry at large do better. Represent our thinking. Explain and defend our approach with partners, clinicians, and other audiences. Engage seriously with criticism and bring what you learn back into the work. About you You have strong judgment. You can reason through a difficult question, weigh competing considerations, and recommend a course of action without pretending every answer is certain. You're an excellent writer and communicator. You can turn complex thinking into clear, precise prose. You enjoy doing the research and developing the argument as much as writing the final piece. You can present well and understand how to communicate what we're doing to the outside world. You've built something and made it better. It could be a product, an operational process, a program, or an independent project. You can show how you moved from an unclear problem to something people used, then improved it through feedback. You're resourceful and hands-on . You're willing to investigate individual cases, coordinate people, write the checklist, and follow up until the work is done. You seek out expertise without needing someone else to supply every answer. You know when to consult a clinician, engineer, lawyer, or researcher, and can turn their input into a practical decision. You're intellectually curious and willing to change your mind. You can explain a time when evidence challenged your assumptions and changed your approach. You handle sensitive information with care and stay thoughtful under pressure. You recognize that this role will involve handling difficult topics on a regular basis including abuse, eating disorders, suicide and death. You can handle these topics maturely and know how to manage your own mental health, seeking support for yourself as needed. You care deeply about people's mental health and the opportunity in front of us. You want more people to have access to good support, and you take responsibility for the trust that requires. You might come from product, operations, consulting, law, policy, psychology, cognitive science, or another field that has taught you to think rigorously, write well, and execute. Clinical qualifications and previous trust and safety experience are useful, but neither is required. Find Jobs in United Kingdom on Arbeitnow

We're looking for We are looking for you as a Working Student Analytics Engineering (f/m/x) to join one of our various departments and help us at thermondo make an important contribution to climate neutrality. With your interest in renewable energy and your identification with our values — Our word counts, Better every day, and Stronger together — you can create real added value for all of us If you enjoy this Answering Data-related questions from business stakeholders across all departments Building new dashboards and improving existing dashboards in Looker Conducting ad hoc analyses and translating data requests into clear results Monitoring data quality and working closely with our Analytics Engineers Documenting KPIs and data sources, and contributing to our data dictionary Writing basic SQL queries for data exploration and analysis And recognise yourself here You are enrolled in a data-related or analytical degree programme, such as Data Science, Business Informatics, Statistics, Economics or a comparable field, with at least two semesters remaining. SQL basics: You understand basic syntax, filtering, JOINs and aggregations. BI experience: You have worked with a BI or reporting tool such as Looker, Tableau or Power BI and can explain what you built with it. Data understanding: You can prepare analysis results clearly and explain them to non-technical stakeholders. AI tools: You use tools such as Gemini or Claude in a practical way to support analysis, research or problem-solving. Independent work: You have initial practical experience with smaller data-related tasks and can structure your work with limited guidance. Languages: You speak German at least at B1 level and English at C1 level. What we have to offer A meaningful purpose — through your work, you make an important contribution to making homes climate-neutral Professional development opportunities with experienced mentors Interaction with other working students in an open working environment A collaborative team with diverse backgrounds A fantastic culture within the team and beyond A modern office in the heart of Berlin The option to bring your dog to work one day per week Working in a hybrid model The option to lease a company bike The option to use a membership at Urban Sports Club Corporate benefits with more than 100 partners About us Every application is welcome at thermondo — regardless of gender, nationality, ethnic or social background, religion, beliefs, disability, age, sexual orientation, or identity. We believe that every person is valuable and deserves a fair chance. No home is like another, but for each of us, home is where we belong. It represents what defines us and what matters to us. It has always been the place where we want to feel safe, secure, and undisturbed. But we believe that our homes will stand for more in the future — namely, for the generations that come after us. We believe our homes can do more. They can be electrified, intelligent, efficient, independent, and climate-neutral. We believe climate-neutral living should be accessible, affordable, and easy for everyone. With every heat pump installed outside a home, every photovoltaic system installed on a roof, and every wallbox installed in a garage, we contribute to climate-neutral living. We do not just believe in climate-neutral living — we make it possible. For millions of homes.Together. Every day. One home at a time Your application process Your CV is reviewed by our Talent Acquisition team An initial introductory conversation with your Talent Acquisition Manager, Alex If we have a suitable open position, we will contact you again about the next steps If there is currently no suitable position available, you will become part of the thermondo talent pool for future opportunities Find more English Speaking Jobs in Germany on Arbeitnow

Our mission: eliminating every barrier to mental health. Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We're building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage. Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners. As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission. We're hiring a Senior Data Scientist to join our high-performing Advanced Analytics team, embedded within the Care group. Reporting to the Manager, Data Science, this role will lead technical innovation to drive engagement and adoption of Spring Practice - Spring Health's core care coordination and provider platform - leveraging diverse and novel data sources in close partnership with product, design, and engineering. The ideal candidate will thrive in ambiguity, bring strong analytical expertise, and drive rapid experimentation to surface actionable strategies that improve member and provider experience, care coordination efficiency, and health outcomes. This is a full-time, remote position on our team. Occasional travel may be required for company or team events/meetings. What you'll do: Lead analytical strategy for Care: Own the end-to-end analytical strategy to improve engagement and outcomes across Spring Practice. You will develop and apply advanced methods, including AI, predictive modeling, classification, and clustering, to identify opportunities to improve member scheduling, provider matching, and care coordination workflows. Your work will directly influence product strategy, de-risk new initiatives, and drive measurable business outcomes. Drive rapid experimentation and outreach: Design and execute a rapid experimentation roadmap to test, validate, and scale improvements to member and provider workflows within Spring Practice. Some projects will require quasi-experimental approaches to measuring impact. You will consult on test design and, at times, analyze results to provide clear recommendations on which initiatives to pursue, shaping the core of the pod's data-driven approach. Act as an embedded technical leader: Serve as a dedicated data scientist within the Care pod, partnering closely with product management and design to influence the team's roadmap, define success metrics, and ensure strategic decisions are grounded in rigorous analysis. Leverage diverse and complex data: Work with large, multi-source datasets to perform feature engineering and uncover novel insights. This will involve both formal analysis and "scrappy" data sourcing to quickly answer critical business questions. You will coordinate closely with a partnered Analytic Engineer and Data Analyst embedded with Care. What success looks like: Incremental increase to Spring Practice engagement and utilization Improvement in member and provider workflow efficiency (e.g. scheduling, care coordination)Achieving quarterly experiment velocity goals What you'll bring: 5+ years of professional data science experience Hands-on experience with experimentation, hypothesis testing, and quasi-experimental methods. Proficiency with SQL and Python Experience with data modeling via dbt or similar tools Experience working with data visualization and BI tools (e.g., Omni, Hex) Experience with product development and the software development lifecycle Excellent verbal and written communication skills to guide and make recommendations to business partners Proven ability to incorporate AI as a tool to solve complex business problems; including experience with prompt engineering for LLMs, using AI for code optimization and documentation, and establishing best practices for using these tools across teams. Proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and business impact in a fast-paced environment Proven success at navigating ambiguous problem areas and learning new approaches Willingness to travel (at least 2 times per year) for collaborative sessions and summits with the team The target base salary range for this position is $159,100 - $179,000 and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay. Benefits provided by Spring Health: Note : We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria. Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type. Employer sponsored 401(k) match of up to 2% for retirement planning A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents. We offer competitive paid time off policies including vacation, sick leave and company holidays. At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents. Access to Noom , a weight management program—based in psychology, that's tailored to your unique needs and goals. Access to fertility care support through Carrot , in addition to $4,000 reimbursement for related fertility expenses. Access to Wellhub , which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription Access to BrightHorizons , which provides sponsored child care, back-up care, and elder care Up to $1,000 Professional Development Reimbursement a year. $200 per year donation matching to support your favorite causes. Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive . If this role excites you, we encourage you to apply. Our privacy policy: https://springhealth.com/privacy-policy/ Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know. Find Jobs in Germany on Arbeitnow

Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. Speed is something we fight for every day at Fin, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that's close to our R&D hubs in Dublin and London. It's a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products. Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. We believe this is the most exciting time to join, be the founding R&D talent in the region and make a lasting impact as we build the world's number one customer agent! What's the opportunity? Principal Engineers at Fin have the opportunity to lead the definition and execution of key strategic initiatives. You will work autonomously and be accountable for strategic execution in part of the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Group Engineering Managers on technical strategy and leadership. Learn more about our engineering culture at intercom.engineering What will I be doing? As an experienced engineer you will: Have a mastery of domain knowledge and work as a leader within the R&D org to drive key strategic projects. Provide assessments of project progress, risks and challenges to engineering leadership to help guide resource allocation and prioritisation. Contribute to our technical architecture as we grow. We scale to service requests from all our customers' customers. We're growing and so are they. Care about agility as much you care for scalability and availability. Continuous deployment keeps us focused on incremental releases. Even our biggest technical achievements roll out piece by piece, feature flagged out of sight. Contribute to all phases of software development including ideation, prototyping, design and implementation. This role has a mix of both hands-on development as well as lead/architecture work. Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems. Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence What skills do I need? Ideally, you've built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you've created Significant, demonstrated impact that your work has had on the product and/or the teams Deep knowledge of a high-level programming language (for example, Ruby, Python, Perl etc.) but it doesn't need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working) You will have experience with Distributed systems 2+ years of experience as the primary technical leader for a team Experience collaborating directly with technical leaders, product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Fin are pragmatists who work closely with others on cross-disciplinary teams and have a strong sense of product strategy. #LI-Hybrid Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. Find more English Speaking Jobs in Germany on Arbeitnow

LOCATION: King's Cross, London · PATTERN: Hybrid, with regular time in the lab The opportunity We're a stealth startup in AI and bio, building infrastructure for data generation. The team is small and elite, the problems are hard, and the foundations are being laid right now. You'd help write them from the first line, with real ownership and a direct line to the founders. This role builds our analysis from the start. Every result leaves an instrument as a trace or a vendor file, and it has to become a value someone can rely on, linked back to the sequence and sample it came from. That means fitting it properly, checking it against controls, catching the plate or reagent lot that drifted, and showing the evidence. Someone has to own that work. That is this role. About us AI for biology has a data problem. The data that matters most doesn't exist yet, so we're building the infrastructure to produce it, with quality and traceability built in from day one. We're in stealth and heads-down on execution. We'll share more about what we're building once you've spoken with the team. The role You will join the intelligence team and own the analysis of our assay data, and the data and ML infrastructure it runs on, from the point the data has been captured to the result that gets delivered. You will work most closely with the protein characterisation scientists who run the assays, and with the software team, who get data out of the instruments and own the platform it lives on. You build on top of that platform, and you own the quality of the analysis that runs on it. The role is part data engineer and part biostatistician, and all of the data is biological. Much of it is building the analysis and ML pipelines that run on our captured data, and the statistics inside them. The rest is presenting those results clearly, with the statistics that matter, such as uncertainty and QC, shown in a form they can understand. The value is in doing that carefully, in code that behaves the same way on every run. What you will own ● Analysis and ML pipelines that turn captured assay and sequence data into consistent, versioned datasets, linked to the sequence, sample, plate and well each result came from, built with the software team who own data capture. ● Data validation before any analysis runs, catching a mislabelled plate, a swapped sample or a missing well. ● Sequence-level bioinformatics, such as computing the properties of each protein sequence and checking constructs for problems before the DNA is ordered. ● Biostatistics for experimental data: experimental design, replicates and controls, error propagation, outlier handling, and assay acceptance criteria, such as CV across replicates, Z′ for plate assays, and reference standards staying within range. ● Curve fitting, including dose-response (EC50 and IC50) with sound normalisation and fits to SPR, BLI, HPLC and nanoDSF traces, with a measure of confidence on each fitted parameter and automated QC that sends doubtful fits to a person. ● Detection of plate, lot and batch effects across a dataset before it is delivered, and control charting of reference standards so drift shows up over weeks as well as within a run. ● The data visualisation that accompanies each delivered result, showing it with its uncertainty, QC and batch structure, so anyone can understand and check it without asking us. Who you are You have worked with messy experimental data and built things other people relied on. That might have been in a biotech or pharma team, an academic lab, a core facility, or a data-heavy field outside biology where you have since picked up the biology. Nobody arrives with every part of this role. If you are strong in most of it and quick to learn the rest, we want to hear from you. You are happy to get your hands dirty on the data. Much of the job is careful, repeated work on real instrument output, and we want someone who takes pride in doing that well. You write code other people can run, and you care how a result reads to the person receiving it. Seniority is not what we are screening for. We are open to someone early in their career and to someone with many years behind them. What we look for is depth and judgement on experimental data. We do not hire people into boxes. This role will stretch past its description, sometimes into the lab and sometimes into conversations beyond the team. Early hires here are expected to pick up what is in front of them. Must have ● Building and running production data and ML pipelines, ideally on scientific or lab data, including data modelling, validation and reproducible, versioned workflows. ● Handling the specifics of biological data: plate layouts, sample and reagent lot lineage, and protein and DNA construct sequences with the standard tools for working with them. ● Biostatistics for experimental data, including experimental design, replicates and controls, curve fitting, and separating batch effects from biology. ● Statistical process control and anomaly detection, so assay drift and instrument variability are caught early. ● Data visualisation for people outside your team, presenting results with their uncertainty and QC so they can understand and check them themselves. ● Fluency in Python and its scientific stack, including pandas, NumPy and SciPy, and in working with coding agents. ● SQL and relational schema design for samples, plates and results. ● Turning scientists' questions into requirements, and writing down the assumptions behind them. Nice to have ● Hands-on analysis of instrument output from a lab, especially trace-based data such as SPR or HPLC. ● R for statistical modelling, such as dose-response fitting or mixed models for plate and batch effects. ● Containers and cloud infrastructure, such as Docker, Kubernetes and AWS. ● Working with data from LIMS, electronic lab notebooks or lab data standards. ● Current protein language models and structure prediction, such as ESM C, Boltz-2, Chai, OpenFold3 or AlphaFold 3. Why this is unusual Most assay data analysis happens far from the lab, on files someone exported weeks earlier, with little record of how the experiment ran. Here you sit next to the lab, the conditions of every run are recorded, and your analysis is delivered alongside the data. The work also changes under you. The lab starts with people running the instruments and becomes automated over time, and the analysis you first build by hand becomes the checks that run on every result. Some people find that energising; some find it outside their lane. It's worth knowing in advance which one you are. How we work The role is based in London, at our lab and office in King's Cross. Time in person with the scientists matters for this work. The wider team is distributed and travels, so you will work with people who are not always in the building. We work in the open. Decisions are written down and work happens in Slack. The whole company meets once a week at the start of the week, and there is a regular offsite. Each person owns their area and makes the call inside it, and we will expect that of you early rather than late. UK benefits are 30 days of annual leave plus public holidays, a pension with a 10% employer contribution, and Bupa private health cover. More is added as the team grows. The team you will join You will report to the intelligence lead. You will also work closely with the founders and with the protein characterisation scientists whose data you will analyse. We are a small, elite team, weighted towards science and software. You will be the first person on the intelligence team whose focus is the analysis and ML infrastructure behind our results. Our process Our process has four stages. A short screening call about the role and the practicalities. A behavioural interview about how you work and what you value, run from the same template for every candidate. A technical stage built on a real analysis problem from our lab, not a puzzle. You spend a few hours writing up how you would approach it, using the tools you would use on the job, coding agents included, with a short note on the decisions you made. We care about judgement more than hours, so a focused answer beats an exhaustive one. We then go through it with you in person. Then references, aimed at whatever we still want to understand. If you are not sure whether you are a fit, apply anyway. We would rather read it and decide. We are an equal opportunity employer. We make hiring decisions on merit, scope-fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. Find Jobs in United Kingdom on Arbeitnow