Artificial Intelligence Jobs

Wayve · London

Lead a team of ML engineers and applied scientists building synthetic data from generative world models like GAIA-3, turning them into a production engine for training-grade driving experience. Own the loop end to end, from checkpoint and large-scale GPU inference to artefacts landing in driving-model training, while setting technical direction on rig transfer, pose transfer and controllability.

Wayve · London

Develops embedded software connecting an AI Driver to vehicle steering, braking and propulsion systems, working hands-on with benches and vehicles. Involves MATLAB/Simulink development, drive-by-wire actuation logic, CAN/CAN-FD diagnostics, OTA updates and ADAS/HMI interfaces, collaborating with OEMs, suppliers and controls engineers.

Faculty · London

Lead the technical direction and delivery of complex AI projects for enterprise clients in financial and professional services, acting as primary technical authority from discovery to production. Balance hands-on full-stack work in Python and TypeScript/React with mentoring a squad of engineers and shaping reusable architecture. Distinct for its client-facing, highly regulated context and emphasis on safe, responsible AI deployment.

Medtronic · London · £76,800 – £115,200 pa

Builds and maintains a Python-based SaaS platform for project, data and annotation management used by internal machine learning engineers and data scientists. Works with data and platform engineers to handle growing data volumes, and collaborates with stakeholders to define requirements and validate features in an iterative, quality-driven environment.

Medtronic · London · £76,800 – £115,200 pa

Develops high-performance, low-latency video and AI processing pipelines for use in the operating room, leveraging hardware acceleration for capture, inference, visualisation and streaming. Works in a multidisciplinary team on robust, safe-by-design medical device software, with a strong C++17-23, multi-threading and real-time video focus.

PhysicsX · New York, United States · US$150,000 – US$250,000 pa

Builds and deploys customer-facing applications on top of physics AI models, working directly with clients, data scientists and ML engineers. Involves full-stack work: FastAPI REST APIs and Python microservices, plus cloud deployment with Helm, Kubernetes, Terraform and AWS/Azure. Expect on-site travel to customer sites for 3-4 weeks per quarter.

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.

NVIDIA · Cambridge

Develops algorithms and optimizations for NVIDIA's LPX inference and compiler stack, building high-performance runtime and compiler components for end-to-end inference. Involves mapping large-scale neural network workloads onto future hardware, working with LLVM/MLIR, and collaborating with hardware architects on codesign. Hybrid role based in Cambridge.

NVIDIA · United Kingdom

Develops algorithms and optimizations for NVIDIA's LPX inference and compiler stack, building high-performance runtime and compiler components and mapping large-scale inference workloads onto future hardware. Works at the intersection of compilers, systems and deep learning, using LLVM/MLIR and frameworks like PyTorch and TensorFlow, and collaborates with hardware architects on codesign.

Causaly · London

Design and ship ML/AI solutions end-to-end, from data exploration to deployment and monitoring, choosing between classical ML, NLP, LLM and agentic approaches. Work closely with product, design and engineering on user-facing AI features, champion model and data quality, and mentor junior engineers in a biomedical knowledge platform team.

Searchability · Hungerford · £65,000 – £70,000 pa

Hands-on role in a Cloud Operations team modernising multi-cloud infrastructure and building scalable automation. You'll design Terraform IaC modules, enhance CI/CD pipelines, and introduce AI-powered tooling such as LLM-assisted agents, while mentoring engineers and shaping engineering standards.

Tenth Revolution Group · London · £100,000 pa

Embedded with business teams to understand operational challenges and build production-ready applications, AI solutions and automation tools. Works across Python, TypeScript, Java or C# on Azure, AWS or GCP, developing proof-of-concepts and scaling them with product, data and engineering teams. Acts as the bridge between technical teams and non-technical stakeholders, driving adoption of LLMs and agentic workflows.

PhysicsX · San Francisco, United States · US$150,000 – US$190,000 pa

Builds and deploys machine learning pipelines for industrial physics applications, working directly with customers on-site to embed AI models into practical tools. Involves manipulating 3D point-cloud and mesh data, cloud and HPC infrastructure, and translating R&D outputs into reusable libraries and products.

The University of Manchester · Manchester · £48,337 – £59,390 pa

Develops and applies machine-learning and AI methods to protein engineering and enzyme design, analysing large biological, chemical and experimental datasets and building predictive models and computational tools. Works within an interdisciplinary group spanning the Manchester Institute of Biotechnology and Department of Chemistry, providing ML and data-science expertise, training and support to postdocs and students, and contributing to publications and funding bids.

Searchability · Newcastle upon Tyne · £65,000 – £70,000 pa

Hands-on role in a Cloud Operations function, designing and delivering scalable infrastructure automation across a complex cloud estate. Focus on Terraform, Microsoft Azure and Infrastructure as Code, plus CI/CD pipelines and AI-powered automation such as LLM-assisted tooling and AI agents. Includes mentoring engineers and shaping an automation-first engineering culture.