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.
A Computer Vision Engineer will lead high-impact AI initiatives in the defence sector, designing and deploying advanced computer vision systems that solve real-world challenges. The role involves technical leadership, mentoring, shaping strategic capability, and contributing to business development through cutting-edge research and production deployment. Work spans on-site client collaboration and flexible UK-based remote or office work, with a focus on ethical, reliable AI in sensitive environments.
Design and build core platform systems to support technical research on AI-related chemical and biological risks, translating ambiguous research needs into scalable, maintainable software solutions. Work within a multidisciplinary team to develop LLM-based agent systems, evaluation frameworks, and shared infrastructure while mentoring engineers and shaping technical direction. Operate in a high-impact environment with direct influence on AI policy and global governance.
Generates and qualifies leads for the sales team by engaging prospects via outbound campaigns and managing inbound inquiries. Focuses on the SMB/Corporate segment using CRM tools like Salesforce to schedule demos and build pipelines. Emphasizes creative outreach through email and social media to drive sales development.
This role involves working closely with leading AI organizations across EMEA to solve complex challenges in large-scale AI model training and alignment. You will guide customers on optimizing distributed training workflows using NVIDIA's full stack, including frameworks like PyTorch, Megatron-LM, and NeMo, while bridging customer insights with internal product and research teams. The position also includes fostering developer communities through technical events and shaping future product direction based on real-world use cases.
This role involves serving as a technical expert for leading AI organizations in EMEA, focusing on large-scale AI model training and alignment. You'll guide customers on distributed training strategies, optimize infrastructure and software stacks using NVIDIA's full training stack including Megatron-LM and NeMo, and influence product development based on field feedback. The position bridges research and engineering, supporting cutting-edge work in MoE models, reinforcement learning, and post-training workflows.
This role involves leading backend and edge/IoT engineering efforts to build production-grade AI systems for high-stakes defence applications. The engineer will bridge machine learning research with robust software delivery, using Python and compiled languages like Rust or C++, while implementing scalable CI/CD, containerisation, and Kubernetes deployments. Collaboration with data scientists and mentoring of engineering peers are key aspects of the position.
This role involves working closely with prospective and existing customers to ensure a seamless integration of Luminance’s AI technology. Responsibilities include managing Proof of Values, providing expert advice, and designing custom workflows to meet specific client needs. The role offers the opportunity to build relationships with a diverse range of companies and support the sales process.
Lead and shape research initiatives in machine learning for physics-based simulation, focusing on scalable and distributed training of foundation models. Translate research prototypes into robust, production-grade systems using cloud and HPC infrastructure, while mentoring junior engineers and guiding technical direction across the Research team.
A Machine Learning Engineer will collaborate with simulation engineers, data scientists, and customers to solve complex physics and engineering challenges using AI. The role involves building scalable, reliable ML data pipelines, working with 3D point-cloud and mesh data, and translating R&D into reusable tools and products. Frequent customer site visits across multiple continents are expected to support on-site solution development and deployment.
The Maintenance Engineer is responsible for performing electrical and mechanical maintenance, fault diagnosis, and repairs within a highly automated Customer Fulfillment Center. This role involves preventive and reactive maintenance, data analysis for performance improvements, and adherence to safety and quality standards. The position supports the operation of advanced robotics systems during both startup and steady-state phases.
The Maintenance Engineer ensures the reliable operation of automated systems within Ocado’s Customer Fulfillment Center by performing electrical and mechanical maintenance, diagnosing equipment faults, and executing repairs. The role involves preventive and reactive maintenance, data analysis for performance improvements, and adherence to safety and quality standards. The position supports a 24/7 operation and includes involvement in continuous improvement initiatives.
This role involves delivering and integrating CrowdStrike’s Falcon Next-Gen SIEM platform for customers, acting as a trusted technical advisor. The consultant will guide clients in log management, data analytics, and security use case expansion while gathering feedback to influence product development. Collaboration with engineering and cross-functional teams is central to operationalizing SIEM solutions in customer environments.
As a Research Scientist, you will join a team of 40+ researchers and engineers to develop cutting-edge generative AI models for interactive avatars. Your focus will be on advancing the state of the art in dyadic interaction modeling, building models that can hold natural, real-time conversations, and generating contextually appropriate reactions to user inputs.
