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": 1970324837113580, "name": "Member of Technical Staff - Applied AI Engineer, 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": 1761940781, "t_create": 1759954362, "ats_job_id": 1970324837113580, "display_job_id": 1970324837113580, "type": "ATS", "id_locale": "1970324837113580-en", "job_description": "Be a key cross-functional team member, and close collaborator to product teams. Make significant contributions from translating research into benchmarks to co-authoring product roadmap. Design and build evaluation systems that test LLM capabilities in the healthcare domain, and interpret and communicate results. Run experiments to determine how different prompting techniques affect results on internal and industry benchmarks. Improve the tooling that is used internally to implement, run and analyze evaluations. Design internal benchmarking and regression testing capabilities that capture model accuracy, safety and utility. Bachelor's or Higher Degree in Computer Science, or related technical discipline AND significant Python programming experience / machine learning research. Deep experience building with and around LLMs, and experience building tools for analysing and understanding their performance. Including, but not limited to, prompt / context engineering. Experience collaborating in cross functional teams, working through ambiguity to deliver high quality results. 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, or experience in the health domain. Experience with data engineering - handling text dataset sourcing, curation, and processing tasks at scale. 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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837113580", "isPrivate": false}, {"id": 1970324837113482, "name": "Product Manager - 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": 1762170767, "t_create": 1759881938, "ats_job_id": 1970324837113482, "display_job_id": 1970324837113482, "type": "ATS", "id_locale": "1970324837113482-en", "job_description": "Translate business goals into strategy, user experience and technical requirements in close collaboration with UX designers and AI model development teams Ability to break large bodies of work into a phased execution plan, and lead a cross-functional team from idea to polished implementation Communication and dependency management, scoping and scheduling, and driving implementation in collaboration with cross-functional teams, including engineers, designers, and clinicians Define goals and performance indicators, set up and oversee experiments, measure success with data and user research Set the bar for excellence and quality to build exceptional consumer-grade product experiences Bachelors or Masters Degree in Engineering, Computer Science, or Mathematics preferred or similar experience and experience in product management or similar field Experience working in healthcare, ideally on healthcare consumer products Ability to own your work in a fast-paced, rapid growth environment, manage multiple priorities, and adapt to an ever-changing landscape Experience working with LLMs and/or generative AI, or a demonstrated curiosity and desire to learn Experience working in big tech or a scaled consumer product organization", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837113482", "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": 1762533305, "t_create": 1761671155, "ats_job_id": 1970324837140701, "display_job_id": 1970324837140701, "type": "ATS", "id_locale": "1970324837140701-en", "job_description": "At Microsoft AI, we are inventing an AI Companion for everyone \u2013 an AI designed with real personality and emotional intelligence that\u2019s always in your corner. Defined by effortless communication, extraordinary capabilities, and a new level of connection and support, we want Copilot to define the next wave of technology. This is a rare opportunity to be a part of a team crafting something that challenges everything we know about software and consumer products. Our health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing. We\u2019re responsible for ensuring that Microsoft AI\u2019s models and services are useful, trusted and safe across diverse customer health journeys. We\u2019re looking for a deeply technical and mission-driven  Data Science Lead  to build the data foundations powering our health AI companion. You\u2019ll architect, scale, and optimize the pipelines, datasets, and metrics frameworks that help us understand user behavior, evaluate model performance, and measure health impact. This role sits at the intersection of engineering, analytics, and applied AI\u2014translating raw signals into insights that shape product decisions and ensure our systems are safe, effective, and grounded in evidence. You\u2019ll partner closely with product, model, and clinical teams to define data models, build robust ETL workflows, and enable a high-quality analytics environment that supports experimentation, evaluation, and decision-making at scale. Key Responsibilities 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 Required Qualifications Bachelor\u2019s or Master\u2019s 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 Preferred Qualifications 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": 1762261761, "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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