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About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. About the Role We are looking for a Computer Vision Engineer to contribute to the development of the front-end of our visual inertial odometry (VIO) algorithmic stack. Responsibilities VIO Front-end Algorithm development: Matching between frames and stereo pairs Calibration of cameras intrinsic and extrinsic parameters Detection of obstruction Implementation and optimization of the algorithmic stack for our embedded platforms Testing, Validation & Monitoring: algorithms testing in simulation and real-world environments, development of inspection and monitoring tools.. Cross-Team Collaboration: Work closely with system engineers, optical engineers, software engineers. Communicate findings effectively to stakeholders. Candidate Requirements Educational Background : Master's degree in Robotics, Physics, Computer Science or related field, PhD is a plus Technical Expertise : Strong mathematical foundations, coding skills in both Python and C++ Hands-on VIO project experience . Experience with VIO on industrial products is a huge plus. Passion for Computer Vision and Robotics Strong Communication & Teamwork : Ability to collaborate effectively with diverse teams Commitment : 100% dedication to Harmattan's mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence. We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI. Find Jobs in Switzerland on Arbeitnow

About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. About the Role We are looking for a Computer Vision Engineer to contribute to the development of the front-end of our visual inertial odometry (VIO) algorithmic stack. Responsibilities VIO Front-end Algorithm development: Matching between frames and stereo pairs Calibration of cameras intrinsic and extrinsic parameters Detection of obstruction Implementation and optimization of the algorithmic stack for our embedded platforms Testing, Validation & Monitoring: algorithms testing in simulation and real-world environments, development of inspection and monitoring tools.. Cross-Team Collaboration: Work closely with system engineers, optical engineers, software engineers. Communicate findings effectively to stakeholders. Candidate Requirements Educational Background : Master's degree in Robotics, Physics, Computer Science or related field, PhD is a plus Technical Expertise : Strong mathematical foundations, coding skills in both Python and C++ Hands-on VIO project experience . Experience with VIO on industrial products is a huge plus. Passion for Computer Vision and Robotics Strong Communication & Teamwork : Ability to collaborate effectively with diverse teams Commitment : 100% dedication to Harmattan's mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence. We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI. Find Jobs in Switzerland on Arbeitnow

Global Services helps Chainalysis customers turn blockchain data and investigative tools into practical results. Our customers include law enforcement, national security teams, financial institutions, and organisations across the crypto industry. We're looking for a Deployment Strategist, Crypto Investigations, to join Global Services and support public-sector customers in France, particularly law enforcement and intelligence teams. You'll use your investigative experience and technical skills to help customers get the most out of Chainalysis products. This is a hands-on, customer-facing role focused on investigations and practical problem-solving rather than software engineering. You'll work with customers throughout their engagement with Chainalysis, from understanding their needs and conducting investigations to developing workflows, delivering training, and helping them build their own capabilities. You'll need sound investigative judgement, strong French communication skills, and the ability to build trusted relationships with customers. In this role, you'll: Support customer engagements from initial discovery and pre-sales through investigations, solution delivery, training, and ongoing support Conduct blockchain investigations using Chainalysis products, particularly Reactor Work with law enforcement, intelligence, and other public-sector customers to understand their objectives and help them achieve practical results Build and adapt investigative workflows, queries, reports, and dashboards using Chainalysis tools and data Help customers put investigative workflows into practice and develop the skills to use Chainalysis independently Build trusted customer relationships by providing practical investigative guidance and product expertise Lead customer meetings, demonstrations, investigative walkthroughs, training sessions, and technical briefings Support pre-sales discussions by understanding customer requirements and explaining how Chainalysis can help Share customer feedback and investigative insights with Product, Engineering, Global Intel, and Sales Share investigative techniques and best practices with colleagues across Global Services We're looking for candidates who have: Experience conducting or supporting investigations in law enforcement, policing, intelligence, or a related field. Candidates with relevant crypto or financial-crime investigation experience from other backgrounds will also be considered Experience working with public-sector, law-enforcement, intelligence, or other mission-focused stakeholders Strong investigative judgement and the ability to explain findings clearly and build credibility with customers The technical aptitude to learn investigative platforms and work with data; extensive software-engineering experience is not required The ability to analyse complex information and communicate findings to both investigators and senior stakeholders The flexibility to work across pre-sales, customer delivery, and ongoing support Fluency in French, with the ability to work confidently with French-speaking customers The ability to be based in France, ideally in Paris Required Skills Technical Skills Confidence using investigative tools and the ability to develop expertise in Chainalysis Reactor Ability to work with investigative data and turn customer requirements into practical workflows, queries, and reports Familiarity with blockchain investigation tools or analytical workflows is an advantage; Python and SQL are not required Ability to learn Chainalysis products and understand how their data can support customer investigations Domain Expertise Experience in law enforcement, policing, intelligence, financial crime, or another relevant investigative field Understanding of investigative objectives, operational workflows, and the outcomes customers need to achieve Ability to use investigative judgement to guide an investigation and advise customers on their approach Customer & Communication Skills Ability to build trusted customer relationships through investigative knowledge and practical support Excellent spoken and written French, including the ability to explain complex investigative concepts clearly Confidence leading customer meetings, briefings, demonstrations, and training sessions Ability to help customers develop their own skills and use Chainalysis tools independently Day to Day Activities Conduct investigations using Chainalysis tools, primarily Reactor, based on customer requirements Prepare investigative reports, workflows, queries, and other analytical outputs Work directly with customers to develop and implement investigative workflows Deliver hands-on training, walkthroughs, and knowledge-sharing sessions Lead demonstrations, investigative briefings, and solution presentations Support pre-sales discussions, technical discovery, and solution scoping Gather customer feedback and share practical recommendations with Product, Engineering, and Global Intel Manage multiple customer engagements while maintaining quality and responsiveness Continue developing knowledge of blockchain investigations and emerging crypto-related threats Personal Attributes Curious about blockchain technology, crypto crime, and investigative techniques Able to communicate clearly and adapt to different audiences Comfortable taking ownership and making sound decisions in situations where the path forward may not be clear Collaborative and willing to work across teams Keen to develop specialist knowledge and share it with others Nice to have experience: [icing on the cake, not a deal breaker] Previous experience using Chainalysis products Experience with cryptocurrency investigations, blockchain analytics, or financial-crime analysis Experience in traditional finance or financial investigations Experience providing expert evidence or supporting legal proceedings Familiarity with compliance frameworks such as BSA/AML, sanctions screening, MiCA, or the Travel Rule Experience with data platforms such as Databricks, Snowflake, or cloud-based analytics tools Published research, intelligence reports, or other work relating to blockchain analytics or financial crime AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We're ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here . We can't wait to meet you. Compensation: €130K • Offers Equity • Offers Bonus • €130K • Offers Equity • Offers Bonus Find more English Speaking Jobs in France on Arbeitnow

The Continuous Profiler ( https://www.datadoghq.com/blog/continuous-profiling-fourth-pillar/ ) team at Datadog is building a cutting-edge continuous profiling product that has low enough overhead to run continuously in production, unlocking insights into how customer applications perform under real workloads at scale. As AI reshapes software development and teams lose touch with how their code works and interacts with the hardware, this capability is becoming more essential than ever, for humans and AI alike. Today the information produced by our profilers is used for everything from automatic performance tuning to root cause analysis. As a distributed systems engineer on the profiling team, you will be contributing to the systems that intake, process, index, store and make sense of the data collected. You will be working with some of the best runtime engineers, visualization experts, data scientists and designers in the industry on challenging and fun problems. Together, we contribute to runtime ecosystems such as Go ( https://opensource.datadoghq.com/projects/go/ ) and tackle novel problems, from profiling asynchronous Python applications ( https://www.datadoghq.com/blog/engineering/async-python-profiler/ ) to helping customers solve memory leaks in their applications ( https://www.datadoghq.com/blog/memory-leak-workflow/) . At Datadog, we place value in our office culture: the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You'll Do: ● Help design, build and contribute to the core services making the profiling product possible, at a scale that is unusual even within Datadog. ● Participate in multi-disciplinary squads, and iterate with customers, to bring ideas all the way from early explorations to impactful product experiences. ● You will be responsible for your code from development to production, and meet ambitious SLO and quality gates. ● You will be working with many internal and external stakeholders, working on various ways to consume the profiling data, such as the UI, agentic tools, internal applications, integrations and partner products. Who You Are: ● Experience with Java and/or Go essential. ● Distributed systems engineer with experience building high performance large scale systems. ● Excellent communication skills (English). ● Ability to meaningfully review architectural proposals and guide technical trade-offs in a complex product space. ● Experience working with AI coding agents to produce performant and maintainable results. ● Experience collaborating with distributed teams. ● Working knowledge of statistical methods, such as sampling strategies, bayesian optimization, sensor fusion etc (nice to have). Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: ● New hire stock equity (RSUs) and employee stock purchase plan (ESPP) ● Continuous professional development, product training, and career pathing ● Intradepartmental mentor and buddy program for in-house networking ● An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) ● Access to Inclusion Talks, our Internal panel discussions ● Free, global mental health benefits for employees and dependents age 6+ ● Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines . Find Jobs in France on Arbeitnow

About Mirakl: Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy. Today, Mirakl's operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus). With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy's, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways. For more information: www.mirakl.com . Mirakl in Numbers: 🗓️ Founded in 2012 | Member of French Tech Next40 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo 🇫🇷 350+ Mirakl Tech teams members mainly based in France ⚙️ 5 Saas Solutions Our Values: Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique. Our 5 values guide how we collaborate: 💡 Work Hard Together: Teamwork and collaboration are the foundation of our success 🏆 Get Things Done: We prioritize action and efficiency for impactful results 🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence 🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture 🤝 Satisfy & Empower Clients: We're committed to our clients' success About the job Lead the design, development, and adoption of AI systems within a strategic business domain. You will combine deep AI engineering expertise with product and business understanding to identify high-impact opportunities, define roadmaps, and deliver measurable outcomes. As the AI technical lead for your domain, you will drive architecture decisions, engineering excellence, and AI adoption across teams and stakeholders. Examples of domains include: Sales, GTM and Marketing or Finance & Legal This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week. Why Now, Why Mirakl Generative AI and AI Agents are fundamentally reshaping commerce software and the way our teams work on a day to day basis. At Mirakl, AI is becoming a core part of our product strategy. From Catalog Transformer and content generation to AI Agents and Agentic Commerce, we are building the next generation of commerce software. And we have the same ambition for our teams around AI products and adoption. We are looking for a Lead AI Engineer to transform cutting-edge AI technologies into reliable, scalable, and measurable products used by leading enterprises worldwide. You won't be joining a company that's thinking about AI. You'll be joining one that's already building it. What You'll Do 1. Own Tech Strategy for Your Domain Identify high-value opportunities with Business leaders Define the Tech vision and own the agent product roadmap for your domain 2. Lead AI System Development Design and build production-grade AI systems Drive architecture decisions Ensure scalability, reliability, and maintainability 3. Drive Adoption & Business Impact Work closely with end users Measure adoption and outcomes Accelerate AI transformation across your domain 4. Establish Technical Excellence Promote best practices for evaluation, testing, guardrails, and observability Review designs and mentor engineers Raise the quality bar across initiatives 5. Grow AI Capability Mentor AI Engineers and Agent Builders Share knowledge and reusable components Build AI expertise within your organization Success Metrics Business impact delivered by AI initiatives Adoption within the domain Technical quality and reliability Team capability growth Our stack and tools Languages: Python and SQL AI Stack: OpenAI, Anthropic, Gemini, Mistral and Open-source models Agentic & Retrieval: LangGraph, LangChain, LlamaIndex, MCP and Vector Databases Infrastructure: AWS or GCP, Docker and Kubernetes You'll Love This Job If you have 7+ years in Software Engineering, ML Engineering, or Applied AI Strong experience with LLMs, RAG, AI Agents, evaluation, and production systems Ability to influence Product and Business decisions Proven leadership on complex cross-functional initiatives Feel free to add a link to your GitHub in your CV so we can understand what you have worked on! Want to join us? Here is our process A 30-40 min phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return. An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects. 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture. We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you're ready to join a global leader powering digital transformation for 450+ of the world's most innovative retailers and B2B organizations. As part of our recruitment process, Mirakl processes your personal data to review and manage your application and, where appropriate, to consider your profile for future opportunities. You can exercise your data protection rights at any time, and as further detailed in our policies. For more information about how we process your personal data and your rights, please consult our Recruitment Privacy Notice, here in English and here in French. We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews . Find Jobs in France on Arbeitnow

About Mirakl: Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy. Today, Mirakl's operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus). With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy's, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways. For more information: www.mirakl.com . Mirakl in Numbers: 🗓️ Founded in 2012 | Member of French Tech Next40 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo 🇫🇷 350+ Mirakl Tech teams members mainly based in France ⚙️ 5 Saas Solutions Our Values: Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique. Our 5 values guide how we collaborate: 💡 Work Hard Together: Teamwork and collaboration are the foundation of our success 🏆 Get Things Done: We prioritize action and efficiency for impactful results 🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence 🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture 🤝 Satisfy & Empower Clients: We're committed to our clients' success About the job Lead the design, development, and adoption of AI systems within a strategic business domain. You will combine deep AI engineering expertise with product and business understanding to identify high-impact opportunities, define roadmaps, and deliver measurable outcomes. As the AI technical lead for your domain, you will drive architecture decisions, engineering excellence, and AI adoption across teams and stakeholders. Examples of domains include: Sales, GTM and Marketing or Finance & Legal This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week. Why Now, Why Mirakl Generative AI and AI Agents are fundamentally reshaping commerce software and the way our teams work on a day to day basis. At Mirakl, AI is becoming a core part of our product strategy. From Catalog Transformer and content generation to AI Agents and Agentic Commerce, we are building the next generation of commerce software. And we have the same ambition for our teams around AI products and adoption. We are looking for a Lead AI Engineer to transform cutting-edge AI technologies into reliable, scalable, and measurable products used by leading enterprises worldwide. You won't be joining a company that's thinking about AI. You'll be joining one that's already building it. What You'll Do 1. Own Tech Strategy for Your Domain Identify high-value opportunities with Business leaders Define the Tech vision and own the agent product roadmap for your domain 2. Lead AI System Development Design and build production-grade AI systems Drive architecture decisions Ensure scalability, reliability, and maintainability 3. Drive Adoption & Business Impact Work closely with end users Measure adoption and outcomes Accelerate AI transformation across your domain 4. Establish Technical Excellence Promote best practices for evaluation, testing, guardrails, and observability Review designs and mentor engineers Raise the quality bar across initiatives 5. Grow AI Capability Mentor AI Engineers and Agent Builders Share knowledge and reusable components Build AI expertise within your organization Success Metrics Business impact delivered by AI initiatives Adoption within the domain Technical quality and reliability Team capability growth Our stack and tools Languages: Python and SQL AI Stack: OpenAI, Anthropic, Gemini, Mistral and Open-source models Agentic & Retrieval: LangGraph, LangChain, LlamaIndex, MCP and Vector Databases Infrastructure: AWS or GCP, Docker and Kubernetes You'll Love This Job If you have 7+ years in Software Engineering, ML Engineering, or Applied AI Strong experience with LLMs, RAG, AI Agents, evaluation, and production systems Ability to influence Product and Business decisions Proven leadership on complex cross-functional initiatives Feel free to add a link to your GitHub in your CV so we can understand what you have worked on! Want to join us? Here is our process A 30-40 min phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return. An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects. 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture. We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you're ready to join a global leader powering digital transformation for 450+ of the world's most innovative retailers and B2B organizations. As part of our recruitment process, Mirakl processes your personal data to review and manage your application and, where appropriate, to consider your profile for future opportunities. You can exercise your data protection rights at any time, and as further detailed in our policies. For more information about how we process your personal data and your rights, please consult our Recruitment Privacy Notice, here in English and here in French. We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews . Find Jobs in France on Arbeitnow

About Decathlon Decathlon aims to become the best sports digital platform and open ecosystem in the world. We want to enable customers to experience Decathlon through many local sport-centric experiences by connecting many third-party actors and services, in a secure and performant way. Our digital teams in Lille, Paris (and more…) which bring together more than 5000 collaborators are united to build and scale digital products with the aim to always deliver the best value to our users. With a presence in more than 70 countries, Decathlon is committed to innovation, sustainability, and customer satisfaction. Job Description Our PRISM (Supply Chain) is looking for an AI Engineer based in Paris. As an AI Engineer dedicated to agent deployment, you will be at the heart of a tight-knit technical team. Your will play a critical role in the industrialization, deployment and monitoring of our Agent capabilities. You will closely work with digital teams (Data, Product, Engineering) to architect the deployment infrastructure, design intelligence routing, and build secure infrastructure allowing our agents to interact natively with our corporate data and legacy systems. Responsibilities Design and deploy solid foundations that will allow our AI agents to be hosted, run, and interact smoothly with our systems during production release. Design robust pipelines enabling multi-step asynchronous agentic execution (e.g., transactional ingestion and writing flows), by implementing distributed resilience patterns. Integrate agentic orchestration SDKs (notably Google Vertex AI Agent SDK / ADK), bypassing "black box" limitations of managed frameworks. Efficiently orchestrate agents in production while ensuring proper information processing, routing to the most suitable models, and guaranteeing optimal cost and token usage management. Also ensure quality and speed of task execution. Strictly define the scope of action for each agent. You guarantee they only access data and actions for which they are formally authorized, respecting our confidentiality rules, while ensuring data security. Build advanced performance measurement and tracking pipelines to trace agent reflections and decisions from end to end in order to debug logic in production. Work with the team to define relevant and consistent data evaluation metrics relative to the defined functional specificities and metrics. Hard Skills Robust backend design (Python), operational mastery of containerization (Docker, Kubernetes) and pipelines (CI/CD, automated testing, observability, log management) to ensure robust production releases. Production-focused Python expertise, mastery of deployment platforms (Vertex AI Agent Builder, Gemini Enterprise Agent Platform) and client/server integration protocols like the Model Context Protocol (MCP). Experience optimizing context windows for massive frontier models. Request routing to models suitable for the selected solutions. Ability to build test frameworks for LLMs (LLM-as-a-Judge, Golden Datasets), mastery of deterministic metrics and strict validation of output formats (JSON schema enforcement). Practical experience with Agentic RAG, Semantic Caching to reduce latency and API costs, or using prompt optimization frameworks (e.g., DSPy) Applied experience in supply chain, retail technology, or model deployment via Databricks / MLFlow Soft Skills Excellent communication and collaboration skills. Ability to work effectively in a dynamic and fast-paced environment. Strong problem-solving skills and attention to detail. Adaptability and willingness to learn new technologies and methodologies and share them. Ability to translate complex technical concepts into understandable terms for non-technical stakeholders. Ability to understand user challenges and associated needs. Qualifications Senior Profile: You have solid experience (Machine Learning Engineering) with a strong focus on production infrastructure release. Ability to leverage managed solutions (Vertex AI) while knowing how to "dive into code" to debug distributed architectures, develop custom connectors, and bypass framework limitations. Demonstrated ability to evolve in shifting technical environments. Operational skills on GCP and understanding of containerized environments (Docker, Kubernetes) to autonomously deploy the Agentic layer. Technical Environment Agent orchestration: Gemini Enterprise Agent Platform, Vertex AI Agent Builder Infrastructure & Cloud: GCP (Google Cloud Platform), Docker, Kubernetes, CI/CD pipelines. AI & Integration Protocols: Model Context Protocol (MCP), LLMs (Gemini), LLM routing & memory management. Security & Access: Google Cloud Model Armor. Execution Engine: Databricks, AWS EKS, Sagemaker Payload : Python, Spark, Scikit-Learn, Tensorflow / Pytorch, Pyspark CICD: Github Actions Serving: Docker, Protobuf, gRPC Model registry, Model Tracking : MLFlow Orchestration: Airflow Documentation / code: Git, Confluence Data Visualisation: Tableau WHAT WE OFFER YOU Flexibility in work organization (location, pace) Freedom of choice of work tool (Mac, Windows) Upgrading of skills (diversity of projects, languages and technologies) Internal and external training courses Shareholders Remote Friendly: 2 days/week Monthly and quarterly premiums Joining Decathlon means being part of a dynamic team passionate about sports, innovation, and making a positive impact on the lives of our customers. If you are enthusiastic about leveraging data science to optimize supply chain processes and drive business growth, we invite you to apply and be a part of our journey! DECATHLON DIGITAL CONTEXT What if technology allowed us to push the boundaries and take sports experiences to new levels? That's exactly our goal at Decathlon Digital! We are a team of 5,000+ experts in software engineering, product management, data, cloud, and cybersecurity, distributed across Paris, Lille, and Amsterdam. Together, we are creating the largest digital sports platform, leveraging tech innovation from design to value chain optimization, connected experiences and product second life. Changing the game for good . We are in this for the love of sports. And like everything we love, we want it to last. That's why we are embarking on a journey to create a more sustainable tech model, reducing our direct environmental impact while maintaining a safe, diverse, and inclusive space for all our people to learn and thrive together. Team up with us to design the digital future of sports. Find more English Speaking Jobs in France on Arbeitnow

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. Software Engineer II (Full Stack) Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo's growth at scale. The Team : MX Intelligence builds the tools DoorDash, Deliveroo and Wolt use to find, sign and onboard restaurants and merchants. That covers identifying and matching prospective merchants through to the CRM, quoting and contracting tools sales teams use to bring them onto the platform. We're replacing a Salesforce-based stack with one first-party platform shared across all three brands. We're looking for a Software Engineer II (Full stack) to join our London (Hybrid - 3 days from the office) team. In this role, you'll work across the stack, from the backend services and integrations that handle merchant discovery, matching and onboarding to the web tools sales and operations teams use to quote and sign merchants Get to know our Engineering team — what drives us, how we work, and what you can expect. What you'll do? As a Software Engineer at Deliveroo, your individual work contributes to achieving goals in and across your team. While you will work with your team and you may lead projects, some of your work will contribute outside of your direct remit. You will report to managers and group leads and together deliver the results. Technical Execution: You will improve code structure, have an impact on architecture, and review code of any scope produced by your team. You'll aim to simplify the maintenance and operation of production systems, visibility, operational readiness, and health of your team's systems. Collaboration & Leadership: As well as leading from the front regarding technical execution, you'll build relationships with other engineering teams and, identify collaboration opportunities. You'll own larger pieces of work, assist with design and technical / implementation choices and influence the roadmap within your team. You will take an active role in the hiring process and conducting engineering interviews. This will also extend to the current team where you will support the personal growth of colleagues, encouraging efficiency in their roles. Expectations: We want to emphasise that we don't expect you to meet all of the below but would love you to have experience in some of these areas. Pride in readable, well-designed, well-tested software Experience writing web-based applications in any language, and an interest in learning (Go, Ruby/Rails, Python, Scala, or Rust) Experience with relational databases (PostgreSQL, MySQL) Experience with web architecture at scale (20krpm and above) Experience with "NoSQL" data backends and other (Redis, DynamoDB, ElasticSearch, Memcache) Experience solving logistical problems with software Why Join Us? At Deliveroo, you'll do work that matters—solving real-world problems in a three-sided marketplace that's constantly evolving. We're food lovers, problem solvers, community organisers, proud parents, and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you're rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience. If you're excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we'd love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness . Find more English Speaking Jobs in United Kingdom on Arbeitnow

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. About the team Engineering the future of customer support — at global scale 🌍 We believe exceptional customer service is more than just a feature, it's a fundamental part of who we are. That's why we've built our own internal support tooling from the ground up, tailored to help our customer, courier, and merchant support teams shine in every interaction. As we scale our operations from 30 to 60 countries, supporting millions of users and partners, our internal tools need to scale with us. The Support Engineering group is at the heart of this mission. We build high-performance admin applications and core operational tools that empower our support teams to work smarter and faster. A key part of this is our in-house chat platform, which already handles around 5 million conversations every month. On top of this foundation, we're developing advanced features to reduce manual work, improve communication, and proactively resolve issues — often before our users even notice them. Our systems range from automated reach-outs for delayed orders to deeply integrated tools that enable our support teams to deliver assistance quickly, reliably, and with a human touch. By removing inefficiencies and automating repetitive tasks, we're ensuring that our users and partners receive world-class support at scale. About the role We're now looking for a Backend Engineer (Golang) to join us in building scalable, low-latency systems that power these tools and shape the future of customer support. You'll work on impactful products that directly influence how millions of people experience our platform every day. What you'll be doing Build and maintain high-throughput backend services using Go . Collaborate with product managers, designers, and frontend developers to ship features that support internal support agents across the globe. Design systems that are scalable , resilient , and easy to maintain. Contribute to architectural discussions and technical decision-making. Write well-tested code and help the team maintain high code quality standards. Requirements 3+ years of professional software engineering experience, with a proven track record of building and scaling complex systems. Production experience in Golang , with an interest in developing strong engineering practices. Strong hands-on experience with both SQL and NoSQL databases — especially Cassandra. Solid understanding of designing and operating low-latency, high-throughput distributed systems . Previous on-call experience , with a pragmatic approach to reliability and incident management. Nice to have Background in Node.js or other backend languages. Familiarity with cloud infrastructure (AWS, GCP) and event-driven architectures. Why Deliveroo Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it. We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas. Workplace & Benefits At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information. Diversity At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry. We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience. If you're excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we'd love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness . Find Jobs in United Kingdom on Arbeitnow

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. Elastic has seen significant growth in its work within the Public Sector over the last few years. This role will focus on delivery but also to lead the stakeholder relationships at the highest levels of Government and to work with them to help align Elastic to their strategic objectives. You will have the opportunity to work with a tremendous services, engineering and sales team and wear many hats. This is a critical role, as Consultants have an amazing chance to make an immediate impact on the success of Elastic and our customers. Given the opportunity and the organisations that you will be working with, you must be a current holder of Security clearance. What You Will Be Doing: Strong customer advocacy, relationship building, and communications skills The ability to easily pivot from delivery to strategic engagements with customers To work with the wider Elastic organisation to support the customer's goals, their strategic requirements and their journey with Elastic. Ownership of the strategic roadmap with the customer including quarterly strategic sessions with senior and key stakeholders either in one or a number of customers with common goals. Solution design, development, and integration of Elastic products and APIs, platform architecture, and capacity planning in mission-critical environments Comfortable working remotely in a highly distributed team Development of demos and proof-of-concepts that highlight the value of the Elastic Stack Data modelling, query development and optimisation, cluster tuning and scaling with a focus on fast search and analytics at scale Solving our customers' most challenging data problems Working closely with the Elastic engineering, product management, and support teams to identify feature enhancements, extensions. Engaging with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns What You Bring Along: Hands-on experience and an understanding of Elasticsearch and/or Lucene Minimum of 2 years' experience as a Software Engineer, System Administrator, or DevOps Engineer Minimum of 5 years' experience working as a Consultant, working to deliver and execute on professional services engagements Currently holding current UK security clearance, or has previously held security clearance, or is will to undergo security clearance Experience as a technical instructor or public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions Excel at working directly with customers to gather, prioritise, plan and execute solutions to customer business requirements as it relates to our technologies Understanding and passion for open-source technology and knowledge and proficient in at least one programming language Hands-on experience with large distributed systems from an architecture and development perspective Knowledge of information retrieval and/or analytics domain The nature of the work that you will be doing will require a high percentage of work onsite with customers, and you should be expected to travel as a result of this requirement Understanding of Linux, Java and databases Bonus Points: Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification BS, MS or PhD in Computer Science or related engineering discipline Strong knowledge of Java and Linux/Unix environment, software development, and/or experience with distributed systems Experience and interest in delivering and/or developing product training Experience contributing to an open-source project or documentation LI-PF Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People's Republic ("DNR"), and the Luhansk People's Republic ("LNR"). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement. 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Who are we? Smarkets: Predicting the Future of Betting Smarkets runs one of the world's most sophisticated prediction markets, handling over £29 billion in volume since 2010 and engaging 200,000+ traders globally. We're a technology company that happens to revolutionise betting - from sports to political markets, to delivering the sharpest prices and the fairest odds. Our stack is designed for scale, reliability, and speed: Linux, Kafka, Postgres, Kubernetes, with Python 3, Rust, C++17, and React powering our platform. We build infrastructure that institutions trust while keeping trading accessible to everyone. Our edge? We've thrived through every market cycle, competitor, and industry revolution. At the heart of our success are our people. We create a high-performance environment where exceptional talent can thrive, blending deep business experience with a commercial mindset to drive strategic growth. If you're ready to help shape the future of prediction markets with cutting-edge technology and a customer-first philosophy, Smarkets is where you belong. Responsibilities Lead the design, development, and optimisation of backend services written in Python and Rust Architect and build scalable, distributed systems to meet the evolving needs of the platform Enhance system reliability through robust monitoring and alerting systems Drive and enforce best practices in code quality, testing, and continuous integration/delivery (CI/CD) Collaborate with product managers and engineering teams to define and deliver complex, high-impact projects Mentor and guide engineers across the team, fostering a culture of technical excellence and growth Drive technical decision-making and contribute to the evolution of our backend architecture Ensure the performance and stability of critical services by implementing improvements with a forward-looking mindset Role Requirements 6+ years of experience in software engineering, with a focus on backend systems Familiarity with Python or at least one compiled language (Java, C++, Rust, Go) and are keen on learning Rust Proven experience designing and building distributed systems in modern cloud environments (AWS, GCP, or similar) Deep knowledge of DevOps practices and tools, including GitLab and Kubernetes (K8S) Strong experience with message queuing systems (e.g., Apache Kafka) and relational databases (e.g., PostgreSQL, MySQL) Previous experience in Sports Betting or Finance industries is a plus Excellent communication skills, with a proven ability to collaborate effectively with cross-functional teams Demonstrated leadership in driving complex technical projects to successful completion Our Values Our values are at the heart of everything we do - guiding how we work, collaborate, and innovate. They reflect what we expect of ourselves and each other to deliver the best results, while fostering a positive, high-performing environment: Push to Win: We set ambitious goals and relentlessly pursue them, always striving for excellence. Make Others Better : We lift each other up, share knowledge, and celebrate team success over individual achievement. Give a Shit: We care deeply about our work, our users, and the impact we make. Be a Pro : We take ownership, act with integrity, and consistently deliver to a high standard. Bring the Energy : We bring positivity, curiosity, and enthusiasm to everything we do, inspiring those around us. Culture Fit: These values define how we succeed as a team. If this isn't you, this may not be the right place. We hire people who thrive in a fast-paced, collaborative, and ambitious environment. Perks & Benefits We offer a competitive salary and benefits package, alongside a dynamic, collaborative environment where your work truly makes an impact and your voice is heard. Our team is diverse, driven, and ambitious - united by a strong work ethic and a hunger to innovate and win. Our benefits are designed around Health, Wealth, and Development, supporting you both professionally and personally. These include: Stock Options : Vest over 4 years, your success is our success. Pension Scheme: Competitive plan via Aviva, with up to 6% matched contributions if you opt in. Health Insurance: Comprehensive coverage to keep you and your family healthy. Enhanced Parental Leave : Enhanced maternity and paternity leave to support you through life's most important moments. Stay Fuelled: Enjoy fresh, chef-made breakfast and lunch every day, plus a constant supply of fruit, snacks, tea, coffee and soft drinks, because great work starts with great food. Cycle-to-Work Scheme : Support for sustainable commuting and staying active. Learning & Development : £1,000 annual education budget for courses, conferences, books, or training. Holiday: 25 days paid leave + bank holidays, with the option to carry over 5 days. Flexible Working: Hybrid model with 3 days in the office and 2 days from home to fit your lifestyle. Global Working: Work from anywhere in the world for up to 20 days a year. Team Energy: Regular socials, hackathons, and events — because collaboration and fun go hand-in-hand. What happens next​ We aim to have a simple and speedy hiring process, and we want to make sure that we are right for you as much as the other way around. CV application review: We will review it as quickly as possible Let's chat : Quick chat with our team about your experience and the role Technical Interview: Live Coding + System Design Experience and Mindset Chat : with an Engineering Manager In Office Interview : Lunch with other colleagues in the team + LT chat Diversity & Inclusion We're an equal opportunities employer and celebrate diversity in all its forms. If you need any adjustments during the recruitment process, please let us know — we're happy to accommodate your needs. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About CuspAI CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering. We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock. We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters. We're on the cusp of the on-demand materials era. Join us. The Role To scale our scientific intelligence and data curation capabilities, we are looking for three Research Engineers to train and evaluate the foundation models behind our materials discovery platform: representation learning over crystal structures and properties, LLM fine-tuning and post-training for scientific tasks, and the evaluation and data work that makes those models useful. You will work in a small team where each person owns a model end to end, from data and experiment design through training at scale to integration. Note that you would be joining as a 'Member of Technical Staff', but the job title above hopefully helps to explain the nature of this role. Your Impact You will be responsible for building and training specialised foundation models on terabytes of scientific data at massive scale , fundamentally enhancing our platform's multi-modal capabilities . The modalities span crystal structures, properties, text and images. Depending on your background you may lead on self-supervised representation learning, LLM fine-tuning and post-training (SFT, RL), or the evaluation suites that decide between them. What You Will Do Research and Model Training at Scale Design and run experiments : scaling studies, ablations and evaluations that settle which modelling choices survive. Lead efforts in parallel training of multi-modal foundation models at scale (e.g. orchestrating parallel training across hundreds of GPUs and handling data in the order of Terabytes). Apply strong software engineering best practices to ensure the systems are scalable, reliable, and maintainable. Own the data curation and evaluation design for your models; these outlast the modelling decisions. Scientific Collaboration & Integration Partner closely with our Chemists and Materials Scientists to integrate computational and experimental workflows into one seamless optimisation loop. Be proactive in learning the technical vocabulary of materials science and experimental chemistry to facilitate meaningful interactions with domain experts. Contribute to our mission by ensuring all system designs align with CuspAI's commitment to sustainability and world-changing challenges. Must Have Skills and Qualifications: You are someone who gets excited about the opportunity to enable scientists to work on world changing challenges in this domain, with a personal interest in the potential applications of the technology that CuspAI is building. Strong software engineering skills and a proven track record of building complex, high-performance systems at scale in a production or industrial environment. Hands-on experience training or evaluating large models in a distributed setting. For senior candidates this means having led a multi-hundred-GPU training effort; for earlier-career candidates, having been a core contributor to one. Depth in at least one of: large-scale vision or representation learning, LLM pre-training or post-training, reinforcement learning. We care more about one substantial, scale-y project than about breadth. A deep interest in the connection between AI and materials science or chemistry, and a willingness to rapidly learn the scientific vocabulary of the discipline. Master's or PhD in CS, ML or a related quantitative field, or equivalent experience. We are hiring across levels: from strong early-career research engineers (typically 1 to 3 years at a frontier lab or equivalent) to senior and staff engineers who have led model programmes. Experience with representation learning and computer vision, e.g. self-supervised or contrastive pre-training, learning embeddings, or building models that pull structured information out of images such as figures, plots and diagrams. Bonus Points (But Not Critical): RL for post-training (RLHF, GRPO-style methods) or RL in agentic settings. Experience at a frontier lab or a team that ships models at scale. Prior experience applying machine learning models specifically to problems in materials science, chemistry, or molecular informatics. Exposure to multi-modal training (e.g. text, vision, etc.) and how to combine modalities in a meaningful way. Additional Considerations This role could be based in our Cambridge, London, Amsterdam or Berlin offices , with the expectation of being in the office three days per week . Additionally, there may be regular travel required to our other offices for collaboration and project oversight. What We Offer A competitive salary: We value and reward impact and growth Equity in CuspAI: You have a stake in the success of the company Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays 'Gold Standard' parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world. CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace . We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law. We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team. Please let us know if you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate. Find more English Speaking Jobs in United Kingdom on Arbeitnow