Machine Learning Jobs

• Edinburgh
• £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
• £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 within 20 miles of their location, with training designed to fit around existing work or study.

Azure · Microsoft AI-900 · Git +1

• 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

• Lausanne, Switzerland
• Hybrid · 3 days in office
• Senior
• Permanent

Architect and secure an AI-first drug discovery platform, reporting to the CISO. You will build AI/ML threat models, protect model artifacts, deploy LLM and agentic guardrails, and lead AI-specific incident response across distributed training and inference infrastructure.

JAX · PyTorch · TensorFlow +7

• London
• Hybrid · 3 days in office
• Senior

Research Engineers build and optimise state-of-the-art AI models for drug design, working across the full ML lifecycle from experimentation and evaluation to production deployment. The role involves developing robust codebases, data pipelines and training infrastructure, with a focus on architectures such as Transformers, GNNs and diffusion models, in close collaboration with scientists and engineers.

JAX · PyTorch · XLA +6

• London
• Hybrid
• Senior
• Permanent

Lead large-scale data enrichment and curation for the Core Model Safety team, collaborating across pre/mid-training, reward modelling and self-supervised labelling. Build workflows for hard and rare event mining, design out-of-distribution detection for driverless operation, and improve ML operations efficiency across model engineering, infrastructure and compute.

PyTorch · CUDA · VLM +1

• London
• Hybrid
• Senior · manages people
• Permanent

Owns validation strategy for ADAS and L2 autonomy functions, translating product, safety and regulatory requirements into test scenarios, metrics, coverage and acceptance criteria. Works hands-on with Python evaluation pipelines, simulation and SQL data analysis, spanning simulated and physical test environments. Open at senior IC or manager level, coordinating with Product, Safety and Release stakeholders.

Python · SQL

• United Kingdom
• Remote
• Permanent

Builds the systems behind a managed AI audio production service, owning one of three areas: a human data labelling and evaluation platform, the backend engine running production workflows, or a Rust-based professional editor platform. Work is mostly hands-on building of internal tools and core infrastructure rather than consumer features, with scope to lead projects.

• London
• Hybrid
• Permanent

Deliver bespoke, production-grade machine learning systems for government and national security clients, spanning the full ML lifecycle from scoping 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
• Senior
• Permanent

Builds data-intensive, AI-powered applications and infrastructure that help operators and investigators detect, triage and review high-severity abuse across OpenAI's products. Works across UIs, services and pipelines in Python or TypeScript, partnering with Product Policy, Platform Integrity and Research teams. Involves exposure to sensitive and egregious content.

Spark · Kafka · Flink +1

• London
• Permanent

Designs and builds distributed failure detection, tracing, and profiling systems for large-scale AI training workloads, identifying slow or faulty nodes and surfacing performance bottlenecks. Works deep in the stack across collective communication, parallelism, fault tolerance, and observability, collaborating closely with systems, infrastructure, and research teams.

• 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

• United Kingdom
• On-site
• Senior
• Permanent

This role involves designing and solving complex digital electronics challenges across diverse industries such as defence, healthcare, and telecommunications. You'll lead high-speed electronics development, work on cutting-edge FPGA and processor-based systems, and debug hardware using advanced tools and in-house labs. The role emphasizes innovation, technical ownership, and collaboration within multidisciplinary teams on novel, non-repetitive projects.

• Bristol
• Hybrid
• £51,000 – £60,500 pa
• Senior

A varied engineering role spanning research, product and service development, with a focus on AI and computer vision (object detection and tracking). You lead software design, development, testing and deployment within multidisciplinary teams, and act as a subject matter expert advising clients on architecture. Python and C++ on Linux, with DevOps, MLOps and SDLC practices.

Red Hat · Ubuntu · Pandas +6

• London
• £80,000 – £105,000 pa

Hands-on engineering role designing, building and supporting production-grade AI solutions in a professional services environment. You will work with stakeholders to identify use cases, develop AI applications and agents using Microsoft technologies such as Copilot Studio and Azure AI Foundry, and ensure solutions are secure, auditable and compliant with GDPR and the EU AI Act.

Microsoft Copilot Studio · Azure AI Foundry · Azure DevOps