Lead the development of next-generation AI systems for cybersecurity, focusing on large language models and deep learning at scale. Design and implement production-ready AI solutions that process trillions of events daily. Provide technical leadership, mentor research teams, and shape AI strategy while driving innovation in reasoning, summarisation, and interactive systems.
A Senior Machine Learning Engineer in the Smarties team at Ocado will own the full ML lifecycle for production systems powering intelligent features like recommendations, search ranking, and customer personalisation. The role focuses on building scalable, reliable ML infrastructure while improving data quality and enabling product teams to integrate AI capabilities self-serve. Work spans MLOps, model design, experimentation, and cross-functional collaboration within a high-engineering-culture environment.
This role involves designing and implementing biological screening cascades for drug discovery programs, with a focus on biophysical, biochemical, and cellular assays. The scientist will bridge computational predictions with experimental validation, working closely with AI/ML teams and CROs to advance oncology and immunology projects from early discovery to clinical development. Key responsibilities include guiding assay development, interpreting complex pharmacological data, and supporting lead optimization across multiple therapeutic areas.
The role involves leading translational research to improve genomic diagnostics for autoimmune diseases by integrating clinical and genomic data. Responsibilities include developing LLM-based pipelines, managing early career researchers, and collaborating with multidisciplinary teams.
This role involves collaborating with teams to secure AI and Machine Learning solutions, conducting threat modelling, and ensuring compliance with security standards. The position offers exposure to cutting-edge AI technologies and a dynamic, collaborative environment.
This role involves engaging with technical founders, CTOs, and VPs at high-growth UK startups to position Databricks as a strategic data and AI platform. The Lead Solutions Architect will lead technical discovery, drive ecosystem relationships with VCs and accelerators, and act as a thought leader in Generative AI and modern data architecture. They will also mentor other SAs and represent Databricks at technical events and meetups.
This role involves leading and scaling a team of AI/ML professionals, developing executive relationships with EMEA customers, and driving strategic initiatives. The role requires deep technical expertise in ML, GenAI, and data science, as well as experience in managing and growing high-performing teams.
A Principal Designer will lead the development of product and service design disciplines within Faculty’s Applied AI division, delivering high-impact client projects while building design capability from the ground up. The role combines strategic client engagement with executive-level consulting, shaping multidisciplinary teams and embedding human-centred design in AI solutions. This position bridges technical AI outputs with real-world commercial outcomes across government, finance, retail, and other sectors.
This role involves leading the design and implementation of scalable, high-impact machine learning systems within complex enterprise and government environments, particularly in the defence sector. The Principal Machine Learning Engineer will act as a technical authority, shaping architectural direction, solving cross-project challenges, and mentoring engineering teams. Work includes strategic innovation, system integration, and hands-on technical leadership in ethical, real-world AI applications.
This role involves leading the design, development, and deployment of an AI-enabled Digital Twin platform for intelligent asset management in energy and utility infrastructure. You will integrate multi-source data, develop automated inspection and predictive maintenance solutions, and work at the interface of research and industry.
This role involves designing, developing, testing, and deploying front-end and back-end components of Generative and Agentic AI applications. You will work with a tech-obsessed team, translating complex business challenges into AI-powered solutions and collaborating with cloud architects, data scientists, and product managers to take ideas from concept to production.
This role involves building geospatial services and data products to support Wayve's AI driver. You'll work with global-scale data, design and build data pipelines, and integrate with navigation and mapping APIs. The team is full-stack, covering infrastructure, data engineering, and frontend/backend development.
Lead and shape the scientific research agenda for AI safety, focusing on large language models and safety-critical systems. Conduct high-impact research, publish in top-tier venues, and guide red-teaming and evaluation efforts in high-risk domains such as cybersecurity and CBRN. Mentor researchers and position the organisation as a thought leader in responsible AI development.
This role involves leading the technical direction of complex AI systems, particularly within financial services, by designing scalable machine learning architectures and providing expert guidance across projects. The Principal Machine Learning Engineer will solve cross-cutting technical challenges, influence company-wide strategy, and ensure robust, innovative solutions are delivered. Emphasis is placed on architectural leadership, hands-on system design, and translating advanced data science into real-world impact.
This role involves delivering technical AI and machine learning curriculum through workshops and mentoring for apprentices, focusing on practical skills in model development, deployment, and responsible AI. The position requires translating complex technical concepts into accessible learning experiences while supporting learners' professional growth. It combines hands-on instruction with continuous curriculum improvement within a mission-driven EdTech environment.
