Microsoft jobs in london london city of united kingdom

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Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes. Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems. Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on AI safety matters Track advances in AI safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users. 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. Experience prompting and working with large language models. Experience writing production-quality Python code. 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Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work OR equivalent experience. Expertise in large scale data engineering ideally applied to AI Expertise in Spark, Kubernetes or similar. Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video). Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models. Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation. 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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. Develop algorithms, model architectures, data mixtures, and scaling laws for large-scale training using a rigorous data-driven approach grounded in meticulous ablations Drive algorithmic implementations, conduct experiments, and oversee flagship training runs on our in-house large-scale distributed stack Collaborate closely with teams on infrastructure, data, post-training, and multimodality Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837027122", "isPrivate": false}, {"id": 1970324837085286, "name": "Member of Technical Staff, AI Multimodal ", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1763057194, "t_create": 1758544077, "ats_job_id": 1970324837085286, "display_job_id": 1970324837085286, "type": "ATS", "id_locale": "1970324837085286-en", "job_description": "Have proven expertise in areas of interest, evidenced by an exceptional publication track record and/or significant technical leadership in high-impact projects. Exhibit strong analytical skills, attention to detail, and a commitment to data-driven decision-making. Have experience and/or in-depth understandings about large-scale distributed systems. Demonstrate an ability to work collaboratively in a fast-paced, innovative environment. Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work OR equivalent experience. Expertise in multimodal Research with a strong publishing track record Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone's attempts whether successful or not. Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis Innovate and iterate over ideas, prototypes, and product. Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback Advance the AI frontier responsibly Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837085286", "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": 1763218272, "t_create": 1759954362, "ats_job_id": 1970324837113580, "display_job_id": 1970324837113580, "type": "ATS", "id_locale": "1970324837113580-en", "job_description": "Overview At Microsoft AI, 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. Our goal is to translate cutting-edge research\u2014like  MAI-DxO \u2014into transformative products for millions of users across  Copilot.com  and Microsoft\u2019s consumer ecosystem. About the role You'll sit between our research team and product engineering\u2014prototyping breakthrough features, designing evaluation frameworks, and shipping safe, trusted health AI experiences. This isn't a pure research role or a pure engineering role. It's for a builder who thrives in the messy middle where frontier AI meets real users. In this role you will; Bridge research and product: \u00a0Translate cutting-edge AI research into prototypes and product opportunities. Shape roadmaps with both teams to define the future of consumer health AI. Build evaluation systems: \u00a0Design frameworks and infrastructure that measure model quality, safety, and utility in healthcare contexts. Create reproducible pipelines that scale across the organization. Ship prototypes rapidly: \u00a0Experiment with agent architectures, prompting techniques, and new interaction paradigms. Build demos that help teams evaluate feasibility and user value. Drive decisions with data: \u00a0Interpret evaluation results and present actionable recommendations to leadership, researchers, and product teams. Advocate for evidence-based product decisions. Lead through expertise: \u00a0Stay current with frontier AI research and healthcare applications. Mentor teammates and shape technical direction through deep domain knowledge. Required experience/qualifications; 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. 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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. 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