Machine Learning Jobs

• London
• Hybrid · 3 days in office
• Senior

Owns deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimisation) into customer production environments, using Python, PyTorch, Pandas, fastAPI, Scipy and Kubeflow across cloud and on-prem. Leads scoping and architecture for data/ML systems, mentors engineers and data scientists, and travels to customer sites roughly 3-4 weeks per quarter.

Python · PyTorch · Pandas +3

• Singapore
• Lead

Lead the deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimisation) into customer production environments. Own scoping, architecture and success metrics for data/ML systems, mentor engineers, and work on-site with customers across North America, Europe, Asia and Oceania for 3-4 weeks per quarter.

Python · PyTorch · Pandas +3

• London
• Hybrid · 3 days in office
• Senior

Lead the hardening and scaling of an inference platform serving fleets of cutting-edge ML models for scientific applications. Set strategy and roadmaps, architect next-generation services, and solve core scaling limits for high-throughput performance, partnering with research, product and operations teams.

Kubernetes · Google Cloud Platform · NVIDIA GPU +1

• London
• Hybrid
• Mid-level
• Permanent

Design, build and deploy secure, scalable cloud infrastructure for AI and ML workflows, working in a cross-functional team with data scientists and ML engineers. The role involves infrastructure-as-code with Terraform, containerised deployments on Docker and Kubernetes, CI/CD and GitOps, plus client-facing requirements gathering and technical scoping.

Azure · AWS · Terraform +4

• London
• Hybrid
• Senior
• Permanent

Train, debug and improve computer vision and 3D perception models for driver assistance, working across the full ML lifecycle from data and training to evaluation and iteration. The role spans latency-constrained on-car perception and large-scale offline work with lidar, maps and extra compute, building auto-labelling pipelines that feed a data flywheel.

LiDAR

• London
• Hybrid
• Mid-level · manages people
• Permanent

Lead and scale a team of Applied AI Engineers supporting early-stage and high-growth startup customers from experimentation to production. You'll coach engineers on architecture, evaluations, cost optimisation and migrations, partner with Sales on competitive pursuits, and turn recurring needs into repeatable playbooks and reference architectures.

OpenAI

• London
• Hybrid
• Mid-level · manages people
• Permanent

Lead and scale a team of Applied AI Engineers partnering with high-growth startups to move from experimentation to production on OpenAI's platform. The role blends people leadership, hands-on technical architecture guidance, and cross-functional work with Sales, Product, and Research to build repeatable deployment playbooks and reference architectures.

OpenAI

• United Kingdom
• Entry level
• Internship

A 12-month paid placement in the AI & Algorithms department, working alongside engineers and mentors on client projects. Day-to-day work includes coding, modelling, training and testing models, data wrangling, and contributing to internal R&D on state-of-the-art AI. Interns join mixed-discipline teams, attend stand-ups and present results to colleagues and clients.

LLM · VLM · VLA

• London
• Remote
• Permanent

Owns the internal developer platform used by AI researchers to write, build, and debug training code, covering dev environments, container images, CI/CD, and training instrumentation. Works closely with researchers and ML engineers on stability, scalability, and observability, with a compensated 24x7 on-call rotation for production troubleshooting.

Kubernetes · Python · Go +2

• United Kingdom
• On-site
• Entry level
• Internship · Flexible

A paid 6-12 month PhD internship in the AI & Algorithms department, working across the full robotic learning pipeline from data collection and model training to deployment on real hardware. Interns join mixed-discipline teams on client projects in healthcare and industrial settings, contributing to internal R&D and using labs, robotic platforms and compute resources.

ROS · Git · Isaac Sim +7

• London
• Hybrid
• Senior

Builds AI-powered planning systems for global warehouses and last-mile operations, developing machine learning models, optimisation algorithms and operational simulations. Takes high-impact models from prototype to monitored production, sets technical direction and mentors data scientists while working with engineers, product managers and external retail partners.

BigQuery · OR-Tools · SimPy

• Oxford
• Hybrid · 2–3 days in office
• Permanent

Field-facing role delivering autonomous vehicle projects for industrial customers across ports, airports and yards, combining hands-on engineering at Culham with remote development and support. Involves workflow testing, stakeholder management and identifying process gaps, with domestic and international travel including the UAE.

Linux · Unix

• United Kingdom
• Hybrid
• Mid-level

Own customer-facing LLM voice agents end to end: scope, design conversation and tools, build in Agent Studio and the ADK, integrate CRMs and telephony in Python, then launch and stay accountable for live performance. Debug real calls across ASR, model, prompt and integrations, run evals and A/B tests, and turn field solutions into reusable platform tools.

Agent Studio · ADK · Raven +3

• London
• Hybrid
• Mid-level
• Permanent

Builds and deploys production-grade machine learning systems for national security and AI safety clients, including LLM applications, multi-agent tooling and evaluation of frontier models. Involves leading technical scoping and architecture decisions, defining deployment standards, and advising customers, working alongside engineers, data scientists and commercial leads.

AWS · Azure · GCP +5

• Manchester

The OpportunityA leading financial consultancy is seeking a Senior AI & ML Engineer to lead the design, development and deployment of cutting-edge AI, Machine Learning and Generative AI solutions. You'll play a key role in shaping technical strategy, building production-grade…