copilot health 4hbw jobs in london london city of united kingdom

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In this role, you will work across research and engineering boundaries to deliver LLM solutions in healthcare. You will work in a small team within a broader organisation, designing and validating hypothesis across a cutting edge language modelling stack. Work in these roles will involve a hybrid of research and engineering, and can flex across every aspect of the language modelling stack to make models that are as useful and safe for health as possible. Deep, full-stack expertise in designing and evaluating AI applications. Evidence of this may include research papers at top AI conferences and journals, open source projects, industry experience in building production AI stacks. Strong intuition about pre/post training, metric design for AI, prompt engineering methodologies, and AI systems design. Demonstrated experience in one or more of the following areas: prompt engineering, experimental design, language model evaluations, fine tuning, reinforcement learning/direct preference optimization, data curation, and classic machine learning principles. Bachelor's Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Demonstrated full-stack experience in large-scale AI. Empirical evidence of this in the form of top tier publications, open source contributions, and/or on-the-job work experience. Deeper expertise in one or more parts of the AI stack, including prompt engineering, pre-training, fine-tuning, reinforcement learning and direct preference optimization, data curation, LLM inference, orchestration, evaluation pipelines, and deployment. Ability to flex across research and engineering boundaries, wearing a bit of both hats. Passionate about conversational AI and its deployment. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837140404", "isPrivate": false}, {"id": 1970324837113481, "name": "Principal Designer \u2013 Health AI", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "Copilot Health (4HBW)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1764000364, "t_create": 1759881593, "ats_job_id": 1970324837113481, "display_job_id": 1970324837113481, "type": "ATS", "id_locale": "1970324837113481-en", "job_description": "Ship world-class AI applications that delight consumers with an emphasis on craft, quality, trust, and positive user and societal impact Own a product area and be responsible for understanding user needs and behaviors, defining product requirements, managing end-to-end product development, launches and iterations. Cross-functional communication and dependency management, scoping and scheduling, and seeing through implementation by collaborating with engineering through the finish line. Find your own path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Set the bar for excellence and quality and hold the team accountable to that standard Enjoy working in a fast-paced, design-driven, product development cycle. Translate business goals into strategy, user experience and technical requirements in close collaboration with UX designers and AI model training teams. Define goals and performance indicators, set up and oversee experiments, measure success with data and research. Collaborate effectively and communicate clearly with cross-functional teams, including product managers, designers, and other engineers, to build exceptional consumer-grade applications. Bachelor's Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND experience working in product or service design OR equivalent experience (e.g., demonstrated experience working in product or service design or using design thinking to solve problems) Ability to collaborate effectively with engineering to ensure details make it to the hands of the user Experience that demonstrates proven ability to advocate for design thinking, influence design outcomes, discover problems and tackle them in fast-paced and ambiguous environments Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Ability to own your work in a fast-paced. start-up like environment, manage multiple priorities, and adapt to ever-changing requirements and deadlines A portfolio or work samples that demonstrate shipping world class consumer products from vision through launch Proven track record of setting design vision for innovative products that require bold thinking and risk taking Ability to break large bodies of work into a phased execution plan, and lead a cross-functional team from idea to polished implementation Experience with diving into research and leveraging both qualitative and quantitative signals for design impact Experience prompting LLMs, working with generative AI, or a demonstrated curiosity and desire to learn", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837113481", "isPrivate": false}, {"id": 1970324837113580, "name": "Member of Technical Staff - Principal AI Engineer, Health", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "Copilot Health (4HBW)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1764764956, "t_create": 1759954362, "ats_job_id": 1970324837113580, "display_job_id": 1970324837113580, "type": "ATS", "id_locale": "1970324837113580-en", "job_description": "Have extensive experience building in AI/ML with strong technical fundamentals Bring deep LLM expertise: evaluation frameworks, RLHF, model training pipelines, and agent architectures Bachelor's or Higher Degree in Computer Science, or related technical discipline AND significant Python programming experience / machine learning research. Have proven track record of building LLM agents and applications\u2014from prompt engineering to production deployment Have shipped 0-to-1 prototypes that influenced product decisions Can translate complex technical concepts across research, engineering, and product teams Thrive in ambiguous, fast-moving environments while maintaining high quality standards Have knowledge of AI safety and responsible AI practices Have healthcare or clinical informatics background (preferred)", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837113580", "isPrivate": false}, {"id": 1970324837140701, "name": "Data Science Lead - Health AI", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "Copilot Health (4HBW)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1764384438, "t_create": 1761671155, "ats_job_id": 1970324837140701, "display_job_id": 1970324837140701, "type": "ATS", "id_locale": "1970324837140701-en", "job_description": "Design, build, and maintain high-quality data pipelines and models that power analytics, dashboards, and product experimentation across health AI experiences Develop and optimize scalable ELT/ETL processes to extract data from multiple structured and unstructured sources (including telemetry, model outputs, and healthcare data integrations) Partner with product and clinical counterparts to define source-of-truth datasets and standardized metrics for user engagement, safety, and health outcome evaluation Implement monitoring, validation, and alerting systems to ensure data reliability, lineage, and reproducibility across the analytics stack Collaborate with ML engineers and model evaluation teams to operationalize evaluation pipelines\u2014supporting automated scoring, HealthBench metrics, and experiment tracking Define and maintain data schemas, transformation logic, and documentation to promote transparency and reusability across teams Drive continuous improvement in data quality, discoverability, and observability Contribute to shaping data infrastructure strategy and tooling to support next-generation health AI systems Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or related field, OR similar experience. Experience with scaled consumer products Experience building and maintaining production-grade data pipelines, warehouses, and analytics platforms Strong proficiency with SQL and modern data-stack technologies (e.g., dbt, Airflow, Databricks, BigQuery, Snowflake, Spark, or similar) Experience designing efficient data models and ETL processes supporting analytical workloads and experimentation Proven ability to translate ambiguous data needs into scalable engineering solutions Familiarity with data governance, schema design, and principles of data privacy and compliance (HIPAA, de-identification, PHI handling) Experience working with Python for data processing, analytics, or pipeline orchestration Experience working in healthcare, digital health, or regulated data environments Exposure to large language model (LLM) or generative AI systems, particularly in analytics or evaluation contexts Strong understanding of experiment design, metrics definition, and instrumentation in AI-driven products Familiarity with tools for workflow orchestration, version control, and CI/CD (e.g., Airflow, Dagster, GitHub Actions) Comfort collaborating cross-functionally with product, analytics, and clinical teams in a fast-paced environment Curiosity about how AI systems can responsibly improve access to care and health outcomes", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837140701", "isPrivate": false}, {"id": 1970324837113583, "name": "Member of Technical Staff - Principal Software Engineer", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "Copilot Health (4HBW)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1764591372, "t_create": 1759955049, "ats_job_id": 1970324837113583, "display_job_id": 1970324837113583, "type": "ATS", "id_locale": "1970324837113583-en", "job_description": "Collaborate with AI researchers, product managers, and designers to bring a world-class AI health companion to the world. Own the end-to-end development of features, from ideation and specification through to deployment and iteration. Design, build, and optimize production-grade code, delivering robust features within a much larger existing architecture. Work independently across a wide range of our stack, shipping delightful user experiences. Ensure resilience, maintainability, and security above all else. Build the hiring pipelines, onboarding frameworks, or software development best practices as needed to scale an engineering team around you. Guide peers, contributing to a culture of technical excellence and continuous improvement. Bachelor's or Higher Degree in Computer Science, or related technical discipline AND strong software engineering experience with coding in languages/frameworks including, but not limited to, C#, C, C++, Java, Python, Rust, Typescript, Swift, Kotlin. Demonstrated expertise building products at scale, with domain expertise in one or more of distributed systems, cloud infrastructure, web, mobile, GenAI. Experience collaborating in cross functional teams, working through ambiguity to deliver high quality products. Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Experience in healthcare technology, particularly with regulated medical devices. Passionate about conversational AI and its deployment. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies and patterns in AI. 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