Latest UK roles, updated daily.
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.
This role involves leading research strategy and technical innovation in generative AI for cybersecurity, focusing on applying large language models and deep learning to detect and prevent breaches. The senior data scientist will architect production-grade AI systems at scale, mentor teams, and shape AI strategy through cross-functional collaboration. Work includes implementing cutting-edge AI research, optimizing GPU usage, and establishing evaluation frameworks within an AI-first security platform.
As a Software Engineer in the National Security and AI Safety team, you will build and deploy production-grade machine learning systems, collaborate with cross-functional teams, and ensure the technical feasibility and impact of AI solutions. You will work on high-stakes, high-impact projects, leading technical scoping and architectural decisions, and act as a technical advisor to clients and partners.
As a Senior Machine Learning Engineer, you will lead the development and deployment of cutting-edge AI systems for high-impact missions in national security and global stability. You will design, build, and deploy scalable, production-grade ML software and infrastructure, ensuring rigorous operational and ethical standards. You will also mentor junior engineers and collaborate with cross-functional teams to solve critical client challenges.
This role involves leading business analysis activities in an AI-enabled transformation environment, facilitating stakeholder workshops, assessing AI opportunities, and designing future-state processes. The focus is on practical application and measurable outcomes, with a strong emphasis on stakeholder engagement and independent operation.
The AI Solutions Engineer role involves designing, building, and deploying AI-powered solutions to improve business efficiency and productivity. You will work closely with stakeholders to understand their needs, identify automation opportunities, and develop practical tools that deliver measurable value.
This role involves designing, building, and scaling enterprise-grade AI platforms, transforming AI research into production systems. You'll work on complex AI services, data pipelines, and cloud-native architectures, collaborating with Data Scientists and Software Engineers to productionize ML and NLP models.
The role involves designing and building AI systems using LLMs, RAG, and related technologies, while working closely with research and engineering teams. Responsibilities include developing and maintaining high-quality production software, architecting microservice-based systems, and providing technical guidance to junior engineers.
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.
The PhD position involves conducting original research in Physical AI, focusing on vision-language-action models, world models and planning, and adaptation and edge intelligence. The candidate will join the A3 Lab, supervised by Associate Professor Behzad Bozorgtabar and co-supervised by Professor Qi Zhang, and will target publications at top-tier machine learning, computer vision, and robotics conferences.
This role involves designing, developing, and deploying secure AI and ML solutions for autonomous and mission-critical systems. Responsibilities include building machine learning models, supporting autonomous capabilities with ROS 2, and ensuring adherence to Responsible AI and safety standards.
The role involves applying AI and machine learning to real-world problems, ranging from early-stage research to developing deployable solutions. You will work on a variety of projects, including designing and deploying machine learning systems, conducting experiments, and collaborating with clients to deliver high-quality technical outcomes.
The role involves software testing, software releases, and customer support for an AI startup. You will work with Python, Bash, Linux, Docker, and AWS, and have the opportunity to develop skills in automation, cloud, and edge technologies in a fast-moving, collaborative environment.
This role involves leading the technical delivery of AI, Machine Learning, and Algorithmic solutions for complex Defence and Security projects. You will work with multidisciplinary teams, provide technical oversight, engage with customers, and contribute to business development and technical standards.
This role involves working closely with the Technical Support team to understand their systems and customer issues, improving internal systems through automation and AI, and collaborating with senior developers on software development tasks. As experience grows, the role will involve more development work and ownership of various technology projects.
