Machine Learning Jobs

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

A self-paced traineeship that takes 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 UK employer within 20 miles of their location.

Microsoft Azure · Git · GitHub

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

A self-paced traineeship that takes 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 within 20 miles of their location, with training designed to be completed in 6-12 months around existing commitments.

Microsoft Azure · Git · GitHub

• London
• Hybrid · 3 days in office
• Senior · 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, engineers and domain experts, with opportunities to lead projects and mentor others depending on experience.

JAX · PyTorch · TensorFlow +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

• Singapore
• Hybrid
• Lead

Develops multiphase CFD and DEM models for industrial bioprocess and chemical engineering applications, covering gas-liquid, solid-liquid, VOF and Euler-Euler/Euler-Lagrange approaches, non-Newtonian rheology and coupled reactive physics. Owns meshing strategy, parametric CAD-coupled simulation pipelines, HPC-scale transient runs and surrogate/ML-CFD workflows, working directly with customers to scope and validate models against experimental data.

Star-CCM+ · OpenFOAM · Fluent +5

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

Builds and deploys customer-facing applications that put physics AI models into production, working directly with customers, data scientists and ML engineers. Involves rapid prototyping, RESTful APIs in Python (FastAPI), microservices, and cloud deployment with Kubernetes, Helm, Terraform and AWS/Azure, plus quarterly on-site travel.

FastAPI · Helm · Kubernetes +3

• London
• Hybrid
• Senior
• Permanent

Hands-on optimisation of large transformer model inference for edge accelerators and GPUs, profiling model graphs, compiler/runtime behaviour, kernel execution and memory movement. You'll implement fusions, scheduling, quantisation-aware performance and custom kernels, and build benchmarking and regression tests for targets like NVIDIA Orin/Thor and Qualcomm platforms, working closely with model, platform and deployment teams.

TensorRT · CUDA · Qualcomm QNN +6

• 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

• Cambridge
• Senior

Design and optimise CPU compilers for NVIDIA's Grace CPUs, working on hardware-software co-design, code generation and performance analysis for AI, HPC and data centre workloads. The role involves contributing features and optimisation techniques to upstream open source projects such as GCC, LLVM or MLIR, alongside a geographically distributed compiler team.

GCC · LLVM · MLIR +7

• Zürich, Switzerland
• 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 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

• Sofia, Bulgaria
• Hybrid
• Senior

Maintains and improves a live customer-facing slot-availability application while writing Terraform/OpenTofu infrastructure as code for cloud environments. Extends backend services, APIs and data pipelines, and modernises the platform by tuning Airflow/Composer and reducing technical debt. Works in a small distributed team with monitoring, alerting and incident response duties.

Python · TypeScript · Terraform +7

• Cambridge
• On-site
• £40,000 – £70,000 pa

Work across the full machine learning lifecycle, from concept and architecture through data collection, training, integration, testing and evaluation. Models are integrated with in-house electronics to produce prototype and demonstrator units, spanning computer vision, generative models and novel methods across multiple domains.

TensorFlow · PyTorch · CUDA +1

• Sheffield
• Hybrid
• £39,560 – £41,885 pa
• Entry level
• Contract

Develops explainable machine learning models, including symbolic regression, Bayesian optimisation and genetic algorithms, to decode polymer-solvent thermodynamics and soft-matter physics. Involves featurizing complex polymer architectures, analysing multi-modal experimental datasets, and building open-source cheminformatics tools in Python/Julia for sustainable inverse formulation design.

Python · Julia · C++ +1

• Cambridge
• £63,606 – £67,468 pa
• Senior
• Permanent

Contribute to research and teaching in artificial intelligence and machine learning as a faculty member, developing novel models, abstractions and architectures. The role involves supervising Masters and PhD students, creating graduate content for the MPhil in Advanced Computer Science, and teaching undergraduate machine learning and mathematics. The appointee is expected to secure research funding and build a world-class team, collaborating across computer science subdisciplines and with fields such as mathematics, engineering and physics.

• London
• Hybrid
• Senior
• Permanent

Builds data-intensive, AI-powered applications and infrastructure that help operators and investigators detect, triage and review high-severity harm, working across UIs, services and pipelines. Partners closely with the Child Safety team and cross-functional groups, owning systems end-to-end in an ambiguous, fast-moving environment.

Spark · Kafka · Flink +3