Jobs in Woking

Machine Learning Engineer

This role involves building and deploying production-grade machine learning systems for high-impact clients, particularly in the defence sector. The engineer will work across the full ML lifecycle, from scoping to deployment, creating scalable solutions and setting best practices for ML at scale. Collaboration with cross-functional teams and direct client engagement are key, with a focus on ethical, reliable AI in sensitive environments.

Faculty AI London, United Kingdom

Remote Permanent Flexible Clearance Required

Lead Machine Learning Engineer

As a Lead Machine Learning Engineer, you will set the technical direction for complex AI projects, design and implement scalable ML systems, and lead a team of engineers. You will work on diverse projects from AI strategy to client-side deployments, ensuring architectural decisions are sound and driving innovation across the organisation.

Faculty AI London, United Kingdom

Hybrid Permanent

Senior Cost Engineering Manager, Cost Engineering

This role involves leading end-to-end should-cost modeling for large-scale construction projects, reverse-engineering supplier pricing to determine true costs, and driving cost reductions through technical analysis and negotiation. The Senior Cost Engineering Manager will develop bottom-up cost models, challenge supplier quotes with data-driven insights, and co-create AI-powered tools to scale cost intelligence across Amazon’s global procurement network. Collaboration with engineering, procurement, and AI teams is central to shaping strategic sourcing decisions and improving cost transparency.

Amazon London, United Kingdom

Hybrid Permanent

Applied Scientist, Advertising

This role involves designing and implementing deep learning models to optimize ad matching for Amazon’s programmatic advertisement products. You will work with large datasets, develop new ML techniques, and collaborate with product and engineering teams to improve advertising campaign outcomes.

Amazon London, United Kingdom

On-site Permanent

Commercial Data Scientist

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.As AI continues to shape...

Synthesia London, United Kingdom

Remote Permanent

Solutions Architect - NVIDIA Cloud Partners

This role involves designing and deploying large-scale AI and HPC GPU infrastructure in collaboration with NVIDIA's cloud partners. The Solutions Architect will lead technical integration, develop proof-of-concepts, resolve performance and scaling challenges, and deliver technical workshops. It focuses on real-world deployment of cutting-edge GPU systems in datacentres, with strong emphasis on networking, compute infrastructure, and customer lifecycle support.

NVIDIA Cambridge, United Kingdom

Hybrid Permanent

Solutions Architect - NVIDIA Cloud Partners

This role involves designing and deploying large-scale AI and HPC GPU infrastructure in collaboration with NVIDIA's cloud partners. The Solutions Architect will lead technical integrations, develop proof-of-concepts, and support customers across the full lifecycle—from design to production—focusing on networking, compute scalability, and performance optimization. The position emphasizes hands-on technical leadership in cutting-edge GPU-accelerated cloud environments.

NVIDIA Bristol, United Kingdom

Hybrid Permanent

Software Engineer (Training Platform)

You will play a key role in building and operating the inference platform, connecting deep expertise in distributed systems programming with hands-on knowledge of Kubernetes-based platforms. Your responsibilities will include developing and maintaining the platform, supporting users, and improving CI/CD processes, all while serving cutting-edge machine learning models for scientific applications.

Isomorphic Labs London, United Kingdom

On-site Permanent

ML Platform Engineer

This role involves designing and maintaining the ML platform infrastructure that supports model training, evaluation, and production serving at scale. The engineer will build reliable, automated systems for deploying and operating generative models, with a focus on scalability, observability, and developer experience. The position bridges research and production engineering, emphasizing robust tooling and agentic workflows to reduce manual operational overhead.

Synthesia London, United Kingdom

Remote Permanent

Bioinformatics Engineer, London

This role involves building and maintaining a high-fidelity biological data layer to support machine learning at Isomorphic Labs. You will develop large-scale bioinformatics pipelines, harmonize public and internal datasets, and collaborate with interdisciplinary teams to ensure data quality and standardization. The work directly accelerates drug discovery by providing robust, ML-ready biological data.

Isomorphic Labs London, United Kingdom

Hybrid Permanent

Staff ML Engineer, Gaia

This role involves leading large-scale training of video foundation models for Wayve’s Gaia world model, which predicts future driving scenarios from video input. The engineer will drive architectural innovation, optimize training pipelines, and collaborate across research and engineering teams to enhance synthetic scenario generation for autonomous driving systems. Technical leadership and first-principles problem-solving are central to the role.

Wayve London, United Kingdom

Hybrid Permanent

Software Engineer (Product, AI Portal)

This role involves building and operating a SaaS platform that connects Wayve’s AI technology with automotive partners. You'll develop full-stack features, manage integrations, improve system reliability, and directly support production systems in a high-ownership environment. The work spans backend services, APIs, cloud infrastructure, and customer-facing interfaces, with a focus on delivering a robust, observable, and scalable platform.

Wayve London, United Kingdom

Hybrid Permanent

Modelling Engineer (Mid-Level or Senior)

You will develop high-fidelity pre-silicon models of AI accelerator hardware using C++ and SystemC, enabling architectural exploration, performance analysis, and early software development. Working in close collaboration with hardware, software, and ML teams, you'll play a central role in shaping Fractile's hardware before it exists, directly influencing performance, design trade-offs, and product trajectory through simulation and modelling.

Fractile London, United Kingdom

Hybrid Permanent

Modelling Engineer (Mid-Level or Senior)

This role involves developing high-fidelity pre-silicon models of AI acceleration hardware using C++ and SystemC to enable architectural exploration, performance analysis, and early software development. The engineer will work in a tightly integrated hardware-software-ML team to shape Fractile's accelerator design before silicon exists, making foundational contributions to the company's AI infrastructure.

Fractile Bristol, United Kingdom

Hybrid Permanent