Latest UK roles, updated daily.
As a Senior AI Engineer at PoliceAI, you will lead the design, development, and deployment of AI-enabled products, translating policing needs into technical solutions. You will work with multidisciplinary teams to build secure, maintainable, and scalable services, and support the testing, evaluation, and validation of AI products.
As Head of AI, you will lead the development and implementation of AI strategies, governance, and capabilities at LPPA, a leading pension administration company. You will work closely with the CTO and executive team to identify and deliver AI opportunities that enhance operational efficiency, service quality, and member outcomes. Key responsibilities include building the AI team, establishing governance frameworks, and fostering AI adoption across the organization.
Design and build robust platform systems to support AI research on chemical and biological risks, translating complex research needs into scalable infrastructure. Develop evaluation frameworks, LLM-based agent systems, and shared tooling in Python, collaborating closely with interdisciplinary researchers. Drive engineering excellence through architecture, mentorship, and infrastructure improvements within a government-embedded technical team.
As a Staff Research Scientist, you will work on the cutting edge of generative AI, focusing on interactive avatars that can engage in natural, real-time conversations. Your responsibilities include setting the research direction, advancing the state of the art in perceptual layers, and building robust evaluation frameworks.
As a Research Scientist, you will work on the cutting edge of generative AI, focusing on interactive avatars that can engage in natural, real-time conversations. Your responsibilities will include advancing the state of the art in dyadic interaction modeling, post-training multimodal models, and building robust evaluation frameworks.
The role involves translating research into commercial solutions by developing and validating physics-informed models for ship resistance, propulsion performance, and energy efficiency. The engineer will also design and implement multidisciplinary optimization methods and extend NeuralShipper’s capabilities to wind-assisted propulsion systems.
This role involves working directly with quantitative investment and trading firms to apply OpenAI’s models and Codex to their research and development workflows. Responsibilities include identifying valuable opportunities, building and deploying AI systems, and guiding technical decisions to ensure production readiness and sustained adoption.
This role involves delivering AI solutions to international public-sector customers, working closely with government agencies and technical teams to identify and implement high-value applications. Responsibilities include hands-on implementation, strategic guidance, and collaboration with various stakeholders to ensure successful deployment and scale.
This role involves managing a project to build computer vision AI capabilities, working closely with clients, delivery contractors, and stakeholders. Responsibilities include maintaining project governance, ensuring clear communication, and adapting to evolving requirements in a fast-paced environment.
Lead the delivery of complex security initiatives in a fast-moving AI-driven drug discovery environment, bridging security strategy and engineering execution. Translate CISO objectives into technical roadmaps, secure AI models and pipelines, and build automated dashboards for risk visibility. Partner closely with ML and engineering teams across the Alphabet/Google ecosystem to balance security, compliance, and research velocity.
This role involves leading the design, development, and deployment of advanced robotic systems, focusing on software architecture, perception, planning, and control. You will collaborate with multidisciplinary teams, mentor junior engineers, and evaluate emerging technologies to enhance system performance.
This role involves managing small molecule drug discovery programs, facilitating collaboration between the Cambridge and London offices, and supporting the DDMR team with program planning, risk management, and stakeholder communication. The position requires a strong background in drug discovery and program management, with a focus on integrating AI and ML technologies.
This role involves researching and developing methods to detect misalignment in advanced AI systems, conducting pre- and post-deployment evaluations, and sharing findings with AI companies and governments. You will also contribute to public research and build software tools to improve alignment testing.
Build and maintain a platform for Data Scientists and Simulation Engineers to develop and deploy physics-informed AI models. Work on scalable backend systems using Python and Go, with full ownership from implementation to production. Collaborate closely with cross-functional teams and leverage domain expertise to shape engineering practices in a high-performance, event-driven environment.
This role involves leading technical sales engagements by conducting hands-on proofs-of-concept and evaluations for digital-native companies adopting Databricks' Data Intelligence Platform. The Senior Solutions Engineer will collaborate with engineering and sales teams to demonstrate solutions across data engineering, machine learning, and Generative AI, using real-world data and modern cloud architectures. The position emphasizes technical credibility, customer problem-solving, and rapid validation in high-velocity sales cycles.
