Artificial Intelligence Jobs

• London
• Hybrid · 3 days in office
• Mid-level

Joins the Compute Infrastructure team to keep a planet-scale GPU accelerator fleet healthy and efficient. Builds observability systems, telemetry pipelines and automated recovery mechanisms, hunting compute waste and optimising accelerator utilisation and workload goodput alongside ML platform and research teams.

GCP · Kubernetes · Nvidia GPU +1

• London
• Hybrid · 3 days in office
• Mid-level · manages people

Builds greenfield machine learning models and algorithms for drug discovery, designing new architectures, running experiments, and scaling training and inference frameworks. Works in an interdisciplinary team of ML scientists and domain experts, with opportunities to lead projects and mentor others depending on experience.

JAX · PyTorch · TensorFlow +3

• London
• Hybrid
• Senior

Customer-facing, billable engineering role building and productionizing data and AI solutions on the Databricks platform. You own architecture and design decisions, delivering end-to-end systems spanning data engineering, ML/AI model integration and user-facing applications, embedding with client teams and travelling to customers around 20% of the time.

Databricks · AWS · Azure +7

• London
• Mid-level

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.

Databricks · Apache Spark · AWS +4

• London
• Hybrid
• Senior
• Permanent

Hands-on role optimising inference for edge accelerators and GPUs so large transformer models run efficiently on low-cost, low-power in-vehicle compute. You'll profile model graphs, compiler/runtime behaviour and kernel execution, implement optimisations like fusion, scheduling and custom kernels, and build benchmarking and regression tests across NVIDIA Orin/Thor and Qualcomm targets, working closely with model, platform and deployment teams.

TensorRT · CUDA · Qualcomm QNN +6

• United Kingdom
• Remote
• Senior
• Permanent

Hands-on full-stack role building and shipping production AI products that integrate LLMs, RAG and agentic workflows into financial services processes. You own features end-to-end across Node.js/TypeScript microservices, React frontends and AWS cloud infrastructure, with a focus on evaluation, observability, reliability and mentoring engineers.

Node.js · TypeScript · React +7

• London
• Senior · manages people

Lead and grow Scale AI's enterprise product design team, setting the direction for design across applications used by enterprise and government customers making high-stakes decisions. Own hiring, craft standards, and design execution from problem scoping to delivery, while shaping interaction patterns for human-in-the-loop and agentic AI systems.

AI Agents

• Milton Keynes
• Remote
• £12,000 – £150,000 pa
• Director · manages people

Lead a globally distributed engineering organisation spanning cyber security, backend development, sensor infrastructure and AI-driven vulnerability research. Set technical strategy and standards while providing hands-on direction across architecture, system design and code review, and drive adoption of AI, LLMs and autonomous workflows to accelerate vulnerability discovery and exploit analysis.

LLM

• Manchester
• Senior

Lead the design and delivery of AI, machine learning, agentic AI and RAG-based solutions for a financial consultancy's client engagements. Build production-grade models with Python and PyTorch, design MLOps frameworks, CI/CD pipelines and cloud-native model serving, while mentoring engineers and shaping technical strategy.

PyTorch · GCP · Docker +4

• Bristol
• On-site
• Entry level
• Internship

Research and develop techniques to GPU-accelerate deep learning, machine learning and other AI workloads, working with technical experts from industry and academia to analyse and optimise complex AI and HPC algorithms on modern CPU and GPU architectures. The intern also publishes optimisation techniques via developer blogs or conferences and helps influence next-generation hardware, software and programming models.

CUDA · OpenACC · OpenMP +4

• Zürich, Switzerland
• Entry level
• Internship

Research and develop techniques to GPU-accelerate deep learning, machine learning and other AI workloads, working with technical experts to analyse and optimise complex AI and HPC algorithms on modern CPU and GPU architectures. The role also involves publishing optimisation techniques via developer blogs or conferences and influencing next-generation hardware and software design.

CUDA · OpenACC · OpenMP +4

• London
• Hybrid · 1 day in office
• £260,000 – £630,000 pa
• Mid-level

Blends reinforcement learning research with engineering, building and scaling RL infrastructure, training environments and evaluations for large language models. Work spans agentic tool use, code generation, reasoning and distributed GPU training, with close collaboration across research, alignment and production teams.

PyTorch · TensorFlow · JAX +3

• Scunthorpe
• On-site
• £60,000 – £65,000 pa
• Mid-level
• Permanent

Hands-on full stack development role building and improving internal applications, starting with a PHP/Laravel project, using AI coding tools such as GitHub Copilot to accelerate delivery. You own development, testing and deployment from supplied requirements, reviewing and debugging AI-generated code for security and maintainability, with longer-term progression towards leading wider AI implementation across a manufacturing business.

GitHub Copilot · PHP · Laravel

• London
• On-site
• Senior
• Permanent

This role involves embedding with investment, client, and support teams to understand their workflows and build AI-powered solutions that deliver tangible value. Responsibilities include scoping, prototyping, validating, and deploying AI solutions, as well as training and enabling teams to use AI effectively and responsibly.

• London
• Mid-level · manages people

Leads a forward-deployed engineering team acting as the technical bridge between AI capabilities and strategic enterprise customers. Involves designing custom integrations, ETL pipelines and production AI agents, plus prompt engineering, RAG systems and evaluation frameworks, deployed within customer security and compliance boundaries.

LangChain · LlamaIndex · HuggingFace +7