Artificial Intelligence Jobs in Woking

Anthropic · London · £260,000 – £370,000 pa

Conducts exploratory machine learning experiments to understand and steer powerful AI systems, focusing on AI control and alignment stress-testing. Collaborates with interpretability, fine-tuning, and red team groups, running multi-agent RL and jailbreak evaluations. Requires at least 25% presence in London with occasional San Francisco travel.

Anthropic · London · £165,000 – £190,000 pa

Partner with founders and engineers to architect LLM solutions on the Claude Developer Platform, guiding startups from technical discovery through deployment. Win technical evaluations, build evaluation frameworks, and feed emerging use cases back to Product and Engineering. Requires travel to customer sites and startup events.

Multiverse · London

Lead and grow a team of up to seven Enterprise Account Executives, staying hands-on by joining customer meetings and running prep calls, deal reviews and QBRs. Reports to an Area Vice President while working cross-functionally with Customer Success, Business Value Consultants, Marketing and Product on large, complex enterprise deals.

Multiverse · London

Owns 1-3 large enterprise accounts, driving multi-million-pound, multi-stakeholder deals from C-level to C-2 leaders. Applies MEDDICC and value-based selling, working with Business Value Consultants on ROI assessments and cross-functional teams to land and expand strategic logos.

Jam Management Consultancy ltd · Reading · £35,000 – £38,000 pa

Graduate role investigating and resolving technical issues across enterprise software platforms, analysing system performance and supporting troubleshooting on cloud-based applications. Works alongside experienced engineers on analysis, testing and continuous improvement, with exposure to AI, ML, NLP, SaaS, IoT and languages including Python, C#, .NET, Java, JavaScript, TypeScript, React, C++ and SQL.

Matchtech · Bristol

Research, develop and evaluate image processing and computer vision algorithms for complex weapon systems, using imaging sensors for situational awareness and precision targeting. Work spans tracking, optical flow, pose estimation, deep learning and computational imaging, primarily in Matlab/Simulink and Python with PyTorch, within a collaborative department linked to MBDA sites in France and Germany.

Ricoh · London

Builds, configures and operates the platforms and services that take enterprise AI solutions from evaluation into secure, scalable production. Works across DevOps, cloud engineering and MLOps with AI specialists, data scientists and security teams, covering CI/CD, automation, monitoring, secrets management and cost optimisation in cloud and hybrid environments.

Pure Resourcing Solutions · Cambridge · £80,000 – £100,000 pa

Provisioning and running multi-rack GPU clusters for training and inference at a not-for-profit AI organisation, covering hardware, fabric and orchestration. The role spans high-performance networking (InfiniBand, RDMA, RoCE), advanced Linux across Ubuntu and RHEL, virtualisation, and infrastructure-as-code with Git and Terraform/OpenTofu, working closely with researchers and engineers.

EMBS Engineering · London · £75,000 – £85,000 pa

Lead a team of AI developers while remaining hands-on, building enterprise-grade Generative and Agentic AI applications for a financial services client. Work spans Python and Java services, FastAPI APIs, LLM integrations, RAG architectures and agent-based workflows on AWS Bedrock, AgentCore and EKS, plus CI/CD and DevOps. Also involves setting engineering standards and mentoring within a consultancy team.

EMBS Engineering · London · £60,000 – £75,000 pa

Hands-on engineering role building core services and features for an enterprise-grade Generative and Agentic AI platform for a financial services client. Involves Python/FastAPI backend development, LLM integration, RAG architectures, prompt orchestration and AWS services such as Bedrock, AgentCore and EKS, plus CI/CD and DevOps. Works alongside AI engineers, architects and platform specialists on secure, production-ready AI applications.

Capital One · Loughborough

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Set technical direction, manage projects, communicate with stakeholders and mentor junior team members, taking ideas from prototype to production in a hybrid Nottingham team.

Capital One · Lincoln

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. The role involves setting technical direction, mentoring junior team members, and driving prototypes through to production in collaboration with business stakeholders.

Scale AI · United Kingdom

Finance experts design and evaluate complex financial scenarios—valuation, forecasting, risk assessment and equity research—to test and improve generative AI models, giving detailed feedback on outputs for market relevance and compliance. Fellows may co-author research publications with Scale's team and work flexible 10–40 hour weeks within an interdisciplinary network.

Scale AI · United Kingdom

Legal experts evaluate and stress-test generative AI outputs across compliance, litigation, case law and contract analysis, designing complex real-world scenarios and giving targeted feedback to improve model accuracy and regulatory alignment. Fellows also collaborate with Scale's research team on technical reports and benchmarks, working flexibly within an interdisciplinary network of academics and domain specialists.

NVIDIA · Cambridge

Design and optimise CPU compilers for NVIDIA's Grace CPUs, working on hardware-software co-design, code generation and performance analysis for AI and HPC workloads. The role involves contributing new optimisation techniques to upstream open source projects such as GCC, LLVM or MLIR, alongside a geographically distributed compiler team.