Artificial Intelligence Jobs in Woking

PhysicsX · Singapore

First technical responder for enterprise and internal platform users, owning issues from triage and first-pass investigation through resolution or escalation to Product, SRE, FDSE or Deployment Engineering. Debugs inside Kubernetes clusters using Linux, Helm, GitOps (Argo CD) and cloud fundamentals, with fixes delivered via reviewed pull requests. Also builds runbooks and shapes a newly forming support function across SaaS, VPC and air-gapped deployments.

PhysicsX · Singapore

Builds and applies advanced thermal, chemical and multiphase CAE models in Abaqus, ANSYS or COMSOL, coupling heat transfer with fluid, diffusion and electrostatic phenomena. Works directly with customers, often on-site, instrumenting physical processes to generate validation data and integrating models into AI tools. Combines shop-floor manufacturing experience with Python/Java automation and parametric CAD.

Isomorphic Labs · London

Lead pharmacology and translational biology strategy for large-molecule biologics, designing in vivo efficacy and complex in vitro functional assays and acting as Biology Lead on discovery projects. Coordinate internal workflows and external CROs to drive go/no-go decisions, while feeding pharmacology data back into generative AI design loops with ML and computational biology teams.

CrowdStrike · United Kingdom

Monitors and performs in-depth analysis of security alerts on the CrowdStrike platform, handling incidents across Windows, Mac and Linux, including malware analysis and remote remediation. Works in a virtual security operations centre, producing written and verbal findings for customer management and improving detection and triage processes.

CrowdStrike · London

Owns the global product vision and multi-year strategy for CrowdStrike's Falcon Next-Gen SIEM platform, defining third-party data connectors and scalable ingestion pipelines. Works across engineering, data services, sales ops and partners on performance SLOs, log management and integration ecosystems, while mentoring other PMs. Requires deep B2B distributed-systems and cybersecurity expertise, with up to 15% travel.

Isomorphic Labs · London

Research engineers translate frontier research concepts into practical implementations, building and optimising state-of-the-art AI models such as Transformers, GNNs and diffusion models, plus the codebases, data pipelines and infrastructure for training and evaluation. They design and run experiments, analyse model performance, and advise on bringing models to production, working closely with research scientists in a cross-disciplinary team.

Wayve · London

Lead a London-based team building the on-vehicle experiment platform that lets researchers deploy driving models to vehicles, run experiments and collect training data. You own people, roadmap and delivery, plus partner and OEM relationships, while staying close to embedded Linux systems code in C++ or Python.

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.

AI Security Institute · London · £145,000 pa

Expression of interest for a Research Director role at the AI Security Institute, scoped at Level 7, focused on understanding advanced AI risks and translating that into government action. The position involves shaping public-interest research on frontier AI safety, with pre-release access to frontier models, ample compute, and collaboration with national security, policy and AI research experts.

Databricks · London

Customer-facing engineering role building and productionizing data and AI solutions on the Databricks platform for emerging enterprise and digital native accounts. You own architecture and design decisions, implement end-to-end systems spanning data engineering, ML/AI and application development, and embed with client teams. Billable delivery work with roughly 20% travel.

Signal AI · London

Full-stack engineer owning revenue-critical products end to end, from problem discovery with research, design and product through to production. Day to day involves building UIs and data visualisations, large-scale distributed services, AWS infrastructure and observability, with heavy pair programming and AI-assisted development using tools like Claude Code.

Databricks · London

Lead and scale the UK Forward Deployed AI Engineering team, delivering professional services engagements that help EMEA customers productionise GenAI and ML applications. The role combines people leadership, executive customer relationships, and cross-functional work with Product, Research and Sales to shape delivery models and the product roadmap.

ElevenLabs · United Kingdom

Founding full-stack engineer for an ads engine that plans, generates, localizes, launches and learns from ads across major platforms using ElevenLabs' audio and video stack. No PM or handed-down spec: you talk to users, decide what to build, and ship across data pipelines, agent tools and UI, building pragmatically with LLMs, retrieval and evals.

University of Glasgow · Glasgow · £50,253 – £58,225 pa

Develops physics-informed machine learning and uncertainty quantification methods to improve subsurface characterisation for offshore wind and net-zero infrastructure. Joins an interdisciplinary team of engineers, data scientists and geophysicists within a UKRI-funded Fellowship, with scope to shape an ambitious research programme.

ElevenLabs · United Kingdom

Own a greenfield "produce once, distribute everywhere" workflow that runs finished Studio video projects through a dubbing pipeline to generate multiple languages and aspect ratios with auto-translated captions. Shape unwritten specs via RFCs, pressure-test data structures with the team lead, and carry the project from first draft to launch as a backend-leaning generalist.