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 proactive, human-centred agentic systems that reason, plan, and act across domains like biotech, robotics, and AI. Develop full-stack architectures from edge reasoning to cloud deployment, integrating multimodal sensing and persistent memory. Work in agile, cross-disciplinary teams to rapidly prototype and productionise breakthrough systems for high-impact clients.
This role involves leading the validation of ADAS functions within Wayve’s AI Driver system, using simulation and real-world testing to ensure safety and performance. The engineer will define test strategies, develop metrics, and collaborate across data, simulation, and autonomy teams to validate learned driving behaviors. Work includes test coverage, acceptance criteria, and reporting on scalable, automated validation systems.
The Program Manager will lead the development and deployment of advanced Agentic AI systems, overseeing the design, implementation, and optimization of machine learning models. They will collaborate with cross-functional teams, conduct research, and mentor junior engineers, ensuring the delivery of innovative AI solutions.
This role involves building intelligent systems and developing skills through hands-on coding and model training. You will work on diverse client projects, contribute to internal R&D, and communicate results to colleagues and clients.
You will design and develop cutting-edge agentic AI systems, build LLM-powered applications, and contribute to the architecture of a proprietary AI platform. The role involves close collaboration with product and engineering teams to embed AI into real-world business processes, with a focus on innovation and greenfield development.
Design and build full-stack applications that streamline model development workflows for autonomous driving systems, including experiment scheduling, evaluation, and on-road testing. Collaborate closely with researchers and engineers to deliver scalable, secure backend services and intuitive web interfaces. Take technical ownership from concept to production, with a focus on reliability, observability, and system integration.
This role offers UK military veterans in their final 12 months of service a one-week unpaid work attachment at a leading AI company. Participants will gain exposure to the Defence Business Unit, engaging with teams working on machine learning solutions for surveillance, autonomous systems, and combat support. The placement is designed for career transition insight, with structured learning across technical and operational roles in AI and data science.
This role involves hands-on development of machine learning and language model workflows, integrating with various providers, and building robust retrieval and evaluation systems. You will work on LangGraph, LangChain, and RAG pipelines, focusing on cost, latency, and auditability.
This role involves building a cutting-edge deep learning platform for a prop trading firm, focusing on neural networks, transformers, and LLM-driven research. You'll work in a greenfield environment with significant autonomy to shape the research stack and contribute to multi-modal modelling and modern NLP systems.
Design and maintain large-scale, high-availability distributed backend systems for automated in-store order fulfilment. Integrate AI tools into development workflows, lead technical initiatives, and collaborate with product teams in an agile environment. Work across the full software lifecycle with a focus on cloud infrastructure, system resilience, and architectural evolution.
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.
Design and operate software managing large-scale GPU clusters for ChatGPT inference, building automation and observability systems to improve fleet efficiency, reliability, and developer productivity. Work across infrastructure, research, and product teams to optimize compute utilization and build AI-powered operational tooling.
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.
The Range Service Specialist role involves managing the digital representation of grocery products for Ocado's robotic systems. Responsibilities include maintaining a high-quality product database, analysing performance data, and collaborating with partners to ensure efficient robotic handling. The role requires strong attention to detail, analytical skills, and the ability to work on-site in Sofia.
This role involves researching the safety, security, control, and capabilities of advanced AI systems, particularly focusing on autonomous and agentic models. Responsibilities include investigating adversarial robustness, AI control, and developing methods to identify systematic vulnerabilities in AI systems.
