Machine Learning Jobs

• Nottingham
• £25,000 – £45,000 pa
• Entry level

A self-paced traineeship taking complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, plus Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role with a partner employer within 20 miles of their location.

Azure · Microsoft AI-900 · Git +1

• London
• £25,000 – £45,000 pa
• Entry level

A self-paced traineeship taking complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, with Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role with a partner employer within 20 miles of their location.

Microsoft AI-900 · Azure AI Fundamentals · Git +1

• New York, United States
• Hybrid · 2–3 days in office
• Mid-level

Builds high-fidelity CFD models from geometry clean-up and meshing through simulation and post-processing, using Star-CCM+, OpenFOAM or Fluent and parametric CAD tools. Works alongside data scientists and ML engineers to generate simulation datasets for deep learning surrogates, running jobs on cloud and on-premise HPC, with occasional international travel to customer sites.

Star-CCM+ · OpenFOAM · Fluent +4

• London

Owns the product capability for post-training LLMs, turning research methods into deployable model improvements for customers. Builds reliable training harnesses, synthetic-data pipelines and evaluation workflows, applying SFT, preference optimisation, RLHF/RLAIF and verifier-based approaches. Works closely with Research and platform teams, with a roadmap spanning SaaS, VPC and air-gapped deployments.

PyTorch · LLMs · SaaS +1

• London
• Hybrid · 1 day in office
• £325,000 – £390,000 pa
• Senior

Lead and scope multi-month infrastructure projects, making architectural decisions for large-scale distributed systems that train and serve AI models. Work spans Kubernetes clusters, data pipelines, databases, observability and developer tooling, partnering with research and product teams while owning reliability, scalability and security.

Kubernetes · AWS · GCP +6

• 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

• Warrington
• On-site
• Entry level
• Permanent · Shift work

A 48-month apprenticeship in Amazon's Reliability Maintenance Engineering team, supporting fault-finding and preventative maintenance on robotics, conveyors and sortation equipment. You'll study towards a Level 6 qualification and BSc in Controls and Automation Engineering while working shifts across days, nights and weekends.

Conveyor Systems · Sortation Equipment · Autonomous Robots +4

• Gateshead
• On-site
• Entry level
• Permanent · Shift work

Hands-on apprenticeship within Amazon's Reliability Maintenance Engineering team, supporting fault-finding and maintenance on robotics, conveyors and sortation equipment. Combines shift-based on-the-job training with study toward a Level 6 apprenticeship, BSc in Controls and Automation Engineering and HNC/D, covering industrial automation, IoT sensors, predictive maintenance and Industry 4.0 technologies.

Robotics · IoT · Conveyor Systems +2

• London
• Hybrid
• Mid-level
• Permanent

Deliver bespoke, production-grade machine learning systems for government and national security clients, spanning the full ML lifecycle from scoping and architecture to deployment. Work with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, while advising stakeholders and setting standards for deploying ML at scale.

Scikit-learn · TensorFlow · PyTorch +5

• 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 while working alongside engineers, data scientists and commercial leads.

AWS · Azure · GCP +5

• Forest Park, United States
• On-site
• Mid-level
• Permanent · Shift work

Provide first response to engineering fault conditions and carry out electrical and mechanical planned maintenance across a highly automated customer fulfilment centre. Diagnose equipment breakdowns, perform assembly and sub-assembly repairs from blueprints and schematics, and analyse data to improve material handling equipment performance. The role involves shift work, working at height, and initial training travel to other sites in North America and/or the UK.

Computerized Maintenance Management Systems · G-Suite · MS Office

• London
• £90,000 – £110,000 pa
• Senior

Designs and optimises multi-threaded C++ pipelines for image processing, computer vision and rendering, tuning algorithms for spatial analysis, sensor alignment and scene reconstruction. Uses parallel computing and GPU acceleration to hit strict performance targets, builds cross-platform production software, influences architecture and joins a support rota. Works on a core platform being built from the ground up.

C++17 · Git · CMake +5

• London
• Hybrid
• £600 – £650 pd
• Mid-level
• Contract

Design, build and deploy machine learning models into production, with a focus on recommendation systems covering ranking and search optimisation. Work alongside data scientists, engineers and product stakeholders, maintaining MLOps pipelines and ensuring scalability of ML systems on Azure. Six-month contract within a hybrid North London team.

Azure · TensorFlow · PyTorch

• 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…

• London
• Hybrid
• Senior
• Permanent

Builds and maintains shared onboard runtime foundations for autonomous vehicles, including application frameworks, communication middleware, lifecycle management, health monitoring and observability. The role focuses on end-to-end latency and performance profiling across OS scheduling, memory hierarchy and compute platforms, with automated benchmarks and CI regression checks. Works closely with engineering teams and middleware suppliers to set shared APIs and architectural direction.

NVIDIA Nsight · Lumos · tegrastat +5