ai research team 9m6i jobs in london london city of united kingdom

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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": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008482", "isPrivate": false}, {"id": 1970324837008481, "name": "Member of Technical Staff, AI Data", "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": 1745373993, "t_create": 1740412613, "ats_job_id": 1970324837008481, "display_job_id": 1970324837008481, "type": "ATS", "id_locale": "1970324837008481-en", "job_description": "Are passionate about the role of data in large-scale AI model training Will thrive in a highly collaborative, fast-paced environment Have a high degree of craftsmanship and pay close attention to details Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies Effectively manage multiple responsibilities and can adjust to shifting priorities. 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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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. 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Bachelor's Degree AND experience in working with AI researchers, product/technical program management, data analysis, or product development OR equivalent experience. Co-ordinate projects and programs including all elements of end-to-end project planning, timelines, milestones, performance metrics, and resource needs for programs and product cycles. Leverage data and analytics to identify opportunities for improvement, track progress, and measure the impact of quality and efficiency programs on key metrics. Foster a culture of collaboration, continuous improvement, and growth. Accountable to own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery. Communicate program strategies, progress, and results to executive leadership and key stakeholders, advocating for the quality and efficiency function within the team. 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/1970324837010714", "isPrivate": false}, {"id": 1970324837008484, "name": "Member of Technical Staff, AI - Reinforcement Systems", "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": 1746183602, "t_create": 1740414804, "ats_job_id": 1970324837008484, "display_job_id": 1970324837008484, "type": "ATS", "id_locale": "1970324837008484-en", "job_description": "Collaborate with research teams to advance state-of-the-art algorithms for reinforcement learning in LLMs Develop the core systems for adapting reinforcement learning to unprecedented scales and heterogeneous environments. Embody our culture of collaboration, innovation, and excellence. Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Machine Learning, Mathematics, or related STEM fields and experience in coding in languages including, but not limited to, C, C++, C#, Rust, Java, or Python Experience with large-scale software systems and infrastructure. Demonstrated interest in reinforcement learning, language modelling, generative modelling, or related domains. Ability to work collaboratively in a fast-paced, innovative environment. Background in machine learning research. Experience with large scale distributed AI systems.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008484", "isPrivate": false}, {"id": 1970324837008486, "name": "Member of Technical Staff, AI Pretraining Platform", "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": 1746183632, "t_create": 1740415707, "ats_job_id": 1970324837008486, "display_job_id": 1970324837008486, "type": "ATS", "id_locale": "1970324837008486-en", "job_description": "Are passionate about the infrastructure enabling large-scale AI model training Will thrive in a highly collaborative, fast-paced environment Have a high degree of craftsmanship and pay close attention to details Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies Effectively manage multiple responsibilities and can adjust to shifting priorities. Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modeling 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 Experience with HPC (High performance computing) and/ or parallel programming? Experience in the area of pretraining Experience working with GPU clusters Design and develop Python and CUDA/HIP C++ code that enable distributed training of multimodal LLMs ingesting text, audio, images, or video data. 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. Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008486", "isPrivate": false}, {"id": 1970324837011498, "name": "Technical Product Manager, 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": 1746843660, "t_create": 1743085850, "ats_job_id": 1970324837011498, "display_job_id": 1970324837011498, "type": "ATS", "id_locale": "1970324837011498-en", "job_description": "Deeply understand the pipeline of collecting data, training and then serving language models and multimodal models Have experience in working side-by-side with researchers and engineers Thrive in a fast-paced, innovative environment Are passionate about managing high stakes time-sensitive large-scale programs Take the initiative and enjoys finding paths through complexity in a fast-paced environment Are comfortable owning projects that span offices, teams and time zones, can co-ordinate different workstreams, and drive to relentlessly unblock progress Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies Minimum of Bachelor's Degree AND experience in working with AI researchers, product/technical program management, data analysis, or product development OR equivalent experience. Experience managing cross-functional and/or cross-team projects. Proven track record as a Product Manager with first-hand experience evaluating and deploying LLMs into production. Experience working side-by-side with Researchers and/or Engineers Identifying and prioritizing language and multimodal model issues and working with researchers to find a path to resolution. Creating novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning. Creating model prototypes to prove out new feature directions and scope projects. Engineering prompts to teach models how to behave across a wide range of scenarios. Working closely with researchers and engineers to define and manage engineering and research projects. Deploying and tracking AB model experiments in production Foster a culture of collaboration, continuous improvement, and growth. 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We\u2019re responsible for ensuring that Microsoft AI\u2019s models and services are useful, trusted and safe across diverse customer health journeys.\u00a0 The Microsoft Health AI team is looking for a Business Program Manager to work closely with evolving cross-functional teams to drive strategic initiatives, optimise operational processes, and contribute to our overall success.\u00a0 Across all our hires, it\u2019s important for colleagues to share our enthusiasm about the role of technology and AI in health and healthcare, but also appreciate the challenges and risks of delivering effective solutions in a complex and safety critical space. By design, we will remain a lean team (albeit within a much larger organisation), and as such you will need to be action orientated, self-sufficient and actively help to cultivate and promote a positive team culture.\u00a0 Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Manage a dynamic portfolio of programs by tracking progress against milestones, monitoring resource allocation and dependencies, and facilitating prioritisation to ensure timely delivery and alignment with business objectives. Integrate and analyse market research and healthcare trends to generate actionable insights that inform strategic decisions, identify growth opportunities, refine program direction, and drive long-term impact. Identify opportunities for workflow improvements and automation that streamline operations, enhance efficiency, and drive scalability across workstreams. Develop, implement, and continuously refine the operational tools, trackers, and best practices that enable cross-functional teams to execute effectively. Anticipate, monitor, and mitigate operational risks and dependencies by acting as the central point of accountability to swiftly resolve issues and maintain program momentum. Produce high-quality reports, dashboards, and presentations that clearly communicate insights, recommendations, and progress updates to senior leadership and key stakeholders, ensuring the team remains informed and aligned. Engage in both high-level strategic planning and ground-level execution, championing a collaborative team culture that thrives in ambiguity, embraces innovation and continuous learning, and adapts to evolving challenges. Required Qualifications Bachelor's or higher degree in Medicine, Life Sciences, Business, Management or a related field AND/OR experience in program management, strategy, operations, consulting, or a related role, preferably within the healthcare or technology sectors. Knowledge of the healthcare market in US, UK and/or other major territories and understanding of the role technology and AI can play. Ability to produce high quality written and presentation materials with excellent attention to detail. Strong communication and presentation skills. Work at high speed with autonomy in a rapidly changing environment. 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