426 jobs for “ai analyst”
Helsing Berlin, Germany
Builds and benchmarks computer vision systems for scene matching, geo-registration, SLAM, visual odometry and 3D reconstruction, adapting state-of-the-art geometric deep learning to real-world conditions and constrained hardware. Works within a scene understanding and localisation team, collaborating across research, engineering and product to integrate outputs into navigation and decision-making pipelines.
Helsing London
Architect and scale the deep learning frameworks and distributed training infrastructure behind defence AI systems, extending PyTorch-based tooling and optimising GPU throughput. The role spans data strategy, storage and orchestration, working cross-functionally to maximise training efficiency and developer velocity.
Wayve London
Owns the end-to-end release cycle for autonomous-driving AI models, coordinating ML engineering, evaluation, data science, platform, testing and product teams. Defines release gates and promotion criteria from training through validation to fleet deployment, drives regression investigations and rollback decisions, and builds tooling and KPIs to remove bottlenecks in a non-deterministic ML environment.
University of Aberdeen Aberdeen £61,165 – £68,817 pa
The postholder will lead the integration of AI and digital technologies across undergraduate and postgraduate healthcare and medical sciences programmes, working with programme teams, the University's AI Lab and the Centre for Academic Development. Responsibilities span curriculum development, teaching, educational scholarship and interdisciplinary collaboration, helping students grasp the opportunities, limitations and ethical, legal and societal implications of AI in clinical practice and biomedical research.
Cranfield University Bedford £38,655 – £46,492 pa
Integrates four strands of AI research into a single flight-deck assistant and validates it with airline pilots in Cranfield's Future Systems Simulator. Builds the software platform and automated test framework for real-time operation, creates flight scenarios, runs simulator trials and publishes findings within an EU Horizon Europe project.
Infused Solutions London £65,000 – £75,000 pa
Hands-on full-stack role building brand-new AI-powered products from concept to production within a small, senior engineering team. You'll architect scalable solutions, develop PoCs, prototypes and MVPs, build React UIs and Node.js/Express/Python APIs on Azure, and use AI-assisted development tools to accelerate delivery.
University of Warwick Coventry £59,390 – £68,817 pa
Lead research, teaching and administration within the Safe Autonomy Research Group, exploring how humans and AI agents function as integrated collaborators rather than tools and users. The role bridges WMG and industrial partners across domains such as autonomous transport, robotics, Agritech and medical technology, with a focus on shared situational awareness, dynamic task allocation and mutual modelling.
Spencer Rose Bristol £450 – £480 pd
Designs, builds and deploys end-to-end AI/ML solutions for a banking client's Coach AI programme, including LLM-powered assistants, copilots and multi-agent agentic systems. Involves production deployment, MLOps pipelines, NLP, computer vision and voice AI, plus AI guardrails, responsible-AI governance and mentoring a team as senior lead.
Deerfoot Recruitment Solutions Didcot £700 – £900 pd
Architect and build multi-agent AI systems end-to-end, combining frameworks like LangGraph or Haystack with bespoke orchestration, state management and tool-calling logic. Embed LLMs and vision-language models into live reasoning, search and task-execution workflows, deploying across cloud and on-premises environments with monitoring, evaluation and guardrail tooling. Set technical standards for agentic AI within the team, working with a biotech and pharma customer.
Hays Technology London £100,000 – £110,000 pa
Hands-on role building the backend services, APIs and data pipelines behind a new AI layer for an investment management firm's portfolio platform. Involves LLM applications such as agent workflows, tool use and RAG, plus security controls, automated tests, AI evaluations and monitoring of accuracy, latency and cost in production.
Faculty London
Lead original technical research in AI safety, steering projects from research question to publication. Work spans interpretability, steering vectors, goal drift, machine unlearning and uncertainty calibration for transformer LLMs and agentic systems, with outputs informing frontier labs and government institutes. Involves building reproducible research code in PyTorch and Python.
Liverpool John Moores University Liverpool £61,165 – £68,817 pa
The role involves leading applied AI in marketing research and scholarship, mentoring academic colleagues, and collaborating with subject and programme leaders to shape teaching and research strategy. It supports the business school's AACSB accreditation and TEF Gold aims, requiring a strong publication record and innovative, high-impact teaching.
Latent Labs London
Customer-facing engineering role deploying frontier generative biology models into pharma and biotech environments, owning the full lifecycle from technical scoping to production delivery. Involves building API integrations, data pipelines and model-serving infrastructure on AWS with Docker and Kubernetes, plus on-site work with international partners.
Medtronic London £76,800 – £115,200 pa
Designs, builds and maintains AWS and on-prem infrastructure used by ML engineers, data scientists and product teams, with a strong focus on Kubernetes, Helm, Terraform/OpenTofu and GitOps delivery. Also handles platform service requests, incident diagnosis and reliability improvements, working across engineering teams in a surgical AI centre of excellence.
Tenth Revolution Group London £75,000 – £105,000 pa
Builds and deploys production LLM and Generative AI applications for enterprise clients, including RAG solutions, scalable data pipelines and AI-powered services. Works in a collaborative consultancy team of engineers and architects, applying software engineering best practices to take AI from proof of concept into production, with monitoring and optimisation of live systems.
