Jobs in Woking

Staff Machine Learning Engineer - Ops

This role focuses on ensuring the quality and reliability of machine learning models throughout Wayve’s development lifecycle. The engineer will define and enforce release standards across complex training phases, improve ML delivery pipelines, and collaborate with platform, CI/CD, and evaluation teams to enhance automation, observability, and evaluation methodology. The position plays a critical role in maintaining model integrity and safety for embodied AI in autonomous vehicles.

Wayve London, United Kingdom

Forensics Engineer

Investigate on-road incidents and recurring issues in Wayve's autonomous vehicle stack using data analysis, simulation, and cross-functional collaboration. Identify root causes across hardware, software, and AI models, then develop automated workflows and playbooks to improve resolution speed and system performance. The role involves deep technical investigation, clear communication of insights, and contributing to a safety-first culture.

Wayve London, United Kingdom

Engineering Manager - Observability , London)

Lead and grow a team of engineers building observability platforms for large-scale distributed systems, focusing on metrics and tracing infrastructure. Collaborate on architecture design, conduct technical reviews, and drive innovation through open-source tools and cloud-native technologies. Work in a hybrid environment with a focus on reliability, scalability, and DevOps practices.

CrowdStrike

Hybrid

Regional Sales Manager, Public Sector , GBR)

This role involves driving large-scale sales opportunities within the UK public sector by building executive-level relationships and positioning CrowdStrike’s AI-native cybersecurity platform as a strategic solution. The Regional Sales Manager will develop account strategies, lead virtual teams, and collaborate with internal stakeholders to close complex deals, typically valued at £1M or more. Success requires a consultative, quota-driven approach with a strong focus on expanding existing client relationships and identifying new business through proactive engagement.

CrowdStrike United Kingdom

Remote Permanent Clearance Required

Software Engineer (TechOps), London

Design and manage cloud infrastructure for a cutting-edge AI-driven drug discovery platform, supporting research and production workloads on GCP. Work closely with scientists, ML researchers, and engineers to build scalable, secure, and automated systems using Kubernetes, Terraform, and modern DevOps practices. Operate in a hybrid environment with a focus on innovation and scientific impact.

Isomorphic Labs United Kingdom

Hybrid Permanent

Principal Machine Learning Infrastructure Engineer

This role involves designing and operating distributed machine learning infrastructure for large-scale physics-based AI models, with a focus on training efficiency, data pipeline performance, and model serving. The engineer will work closely with research scientists and ML engineers to build scalable systems on NVIDIA DGX hardware, optimize I/O for complex mesh datasets, and enable reliable deployment of models into customer environments. A strong foundation in distributed training, HPC systems, and Kubernetes is essential.

PhysicsX London, United Kingdom

Senior Simulation Data Engineer

The role involves building and operating end-to-end data pipelines for high-fidelity CFD simulations, from geometry preprocessing and orchestration to post-processing and delivery of ML-ready datasets. You'll ensure data quality, traceability, and performance at scale while working closely with research scientists and ML engineers in a high-performance computing environment. The position uniquely combines simulation engineering, data infrastructure, and AI/ML integration within a cutting-edge deep-tech context.

PhysicsX London, United Kingdom

Bioanalytical Lead, London

This role involves leading bioanalytical strategy for a diverse portfolio of AI-designed therapeutics, including small molecules, biologics, and Antibody-Drug Conjugates. The candidate will design and validate PK, PD, and immunogenicity assays, manage global CROs, and integrate wet-lab data back into AI models to improve predictive accuracy. They will also author regulatory submissions and ensure robust cross-functional collaboration across drug discovery, translational medicine, and computational biology teams.

Isomorphic Labs London, United Kingdom

Hybrid Permanent

Lead Solutions Architect - Strategic Customers

This role involves working closely with Databricks' largest enterprise customers across the UK and Ireland to drive digital transformation through data and AI. As a technical leader, you'll shape long-term data strategies, build executive-level relationships, and lead complex integrations across cloud ecosystems like AWS, Azure, and GCP. You'll also mentor internal teams, develop best practices, and contribute to thought leadership through customer engagements and industry events.

Databricks London, United Kingdom

Hybrid Permanent

Senior Specialist Solutions Engineer (AI/ML)

This role involves leading the design of production-grade machine learning and GenAI solutions on the Databricks platform, with a focus on MLOps, RAG architectures, and LLM deployment. The engineer will act as a technical advisor during sales cycles, build MVPs, and support customers in implementing AI workflows. Responsibilities also include creating technical content, mentoring teams, and driving platform adoption through thought leadership and community engagement.

Databricks London, United Kingdom

On-site Permanent

Expression of Interest- Red Team

The Red Team at the AI Security Institute conducts cutting-edge research to identify and mitigate vulnerabilities in advanced AI systems. The team collaborates closely with leading AI companies, UK officials, and allied governments to inform deployment, research, and policy decisions, focusing on misalignment, misuse, and control of AI systems.

AI Security Institute London, United Kingdom £65,000 – £145,000 pa

On-site Permanent Clearance Required

Site Reliability Engineer (SRE) / Platform Engineer

This role involves designing, building, and securing cloud-native platforms on Google Cloud Platform (GCP) with a focus on Kubernetes-based infrastructure and containerised applications. The engineer will develop resilient systems, automate CI/CD pipelines, implement observability, and support AI-driven workloads in production. Emphasis is placed on reliability, security hardening, and operational excellence in a collaborative tech environment.

Adecco London, City And County Of the City Of London, United Kingdom

Hybrid Contract

Applied Scientist Lead - Computer Vision

Lead a team of applied scientists building computer vision and machine learning systems for identity verification at scale. Focus on developing vision-language models and compact mobile-optimized models to combat fraud and improve digital trust. Work closely with product and engineering to deploy resilient, production-grade systems in adversarial environments.

Entrust London, United Kingdom

On-site Permanent

Expression of Interest- Cyber and Autonomous Systems Team

This role involves developing and running advanced evaluations of frontier AI models in cybersecurity and autonomous systems, using cyber ranges and CTF environments to assess capabilities and risks. You'll work on pre-deployment testing, validate novel model behaviors, and support UK government decision-making on AI governance. The work is research-driven, technically rigorous, and operates at the intersection of AI safety, security, and policy.

AI Security Institute London, United Kingdom £65,000 – £145,000 pa

Hybrid Permanent Clearance Required

ML Platform Engineer

This role involves designing and improving the ML platform systems that support model training, evaluation, and production serving at scale. The engineer will build infrastructure and internal tooling to enhance reliability, scalability, and automation, with a focus on reducing operational overhead for researchers and product teams. Work includes developing agentic workflows, optimizing GPU-based workloads, and improving observability and developer experience across distributed systems.

Synthesia London, United Kingdom

Remote Permanent