Machine Learning Jobs in Reading

• London
• Hybrid
• Senior
• Permanent

Architect novel generative models to design functional proteins, working in an interdisciplinary team of ML researchers, protein engineers and biologists. The role spans data curation, evaluation metrics, rapid prototyping, cloud training and inference optimisation, plus planning wet lab testing campaigns with the bio team.

• London
• Hybrid
• Senior
• Permanent

Develops next-generation generative world models and planners such as GAIA, simulating complex driving environments for faster training and scalable deployment. Works across diffusion, transformer and hybrid architectures, optimising inference latency and building interactive models for reinforcement learning and safety evaluation. Involves setting technical direction, mentoring researchers and publishing at top venues.

PyTorch · GAIA · Transformer +1

• London
• Hybrid
• Permanent

Architect novel generative models to design functional proteins, working in an interdisciplinary team of ML researchers, protein engineers and biologists. The role spans data curation, evaluation metrics, rapid prototyping, cloud training/inference optimisation and planning wet lab testing campaigns, with about 10% of time for self-development.

• London
• Hybrid
• Senior
• Permanent

Post-train and scale GAIA-family large video diffusion world models to generate multimodal synthetic driving data, running generation pipelines across tens of thousands of segments and optimising GPU inference. Sits between ML research and engineering, landing synthetic data into the same training stack as real driving data and measuring its impact on driving-model performance.

GAIA · GPU · KV Cache

• Stirling
• Senior · manages people

Designs, builds and optimises scalable data pipelines in Azure Databricks, Spark and Python to support actuarial modelling and assumption setting. Applies machine learning and advanced analytics where they add measurable value, drives process reengineering and embeds audit and risk controls. Also guides and reviews the work of junior team members and shapes data standards and best practice.

Azure Databricks · Spark · PySpark +1

• London
• Senior
• Permanent

Lead technical direction and delivery of complex enterprise AI engagements, shaping solution roadmaps with senior stakeholders and making architecture and engineering trade-offs. Design and implement production AI solutions on AWS spanning application, data, integration, security and operations, while establishing evaluation and responsible AI controls. Also mentors, sets technical standards and builds reusable assets for the Data & AI practice.

AWS

• Preston
• Hybrid
• £90,000 – £100,000 pa
• Lead · manages people
• Permanent

Lead AI strategy, governance and delivery across a major UK pension administration organisation, working with the CTO and executive team to identify and scale AI opportunities. Establish responsible AI frameworks, build and manage a specialist AI team, and oversee adoption of tools such as Microsoft Copilot, Civica UPM and UiPath. The role combines strategic leadership, risk assurance and supplier engagement to drive measurable service improvements.

Microsoft Copilot · Civica UPM · UiPath +2

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Builds and operates production ML systems for document classification and extraction, using LLMs/VLMs and traditional ML to process government identity documents at scale. Owns features from RFC through deployment, optimising GPU inference and training/evaluation pipelines in a Python, AWS and Kubernetes stack, while mentoring engineers and leading technical design.

TensorFlow · PyTorch · Triton +5

• London
• Senior

Customer-facing pre-sales architect driving adoption of Databricks' AI product line across a local EMEA territory, paired with an Account Executive to design and execute engagement strategies. Leads design and implementation of agentic AI use cases using Agent Framework, AgentBricks and MLflow, and acts as tier-3 escalation for complex field challenges.

Databricks · MLflow · Databricks Agent Framework +7

• Lisbon, Portugal
• Hybrid · 3 days in office
• Senior
• Permanent

Builds and operates production ML systems for document classification and extraction, covering training, evaluation and deployment pipelines for LLM/VLM models, GPU inference optimisation and advanced labelling workflows. Leads technical design from RFC to production, mentors engineers and works across Applied Science, Product and Data Science in a squad-based team.

TensorFlow · PyTorch · Triton +4

• London
• Senior

About AnthropicAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers,…

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

Partner directly with Digital Native customers to design, build and deploy AI-powered products, taking ideas from early experimentation through evaluation, production launch and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions on model behavior, reliability, latency, cost, safety and governance.

OpenAI

• London
• Lead
• Permanent

Owns delivery of priority AI initiatives for OpenAI's largest customers, leading complex deployments from scoping and planning through launch and adoption. Builds integrated delivery plans, resolves blockers, drives launch readiness and tracks adoption and consumption against agreed outcomes, working closely with account teams, FDEs and partners.

• United Kingdom
• Remote
• Lead

Designs, builds and operates scalable multi-tenant SDN control and data plane software (OVS, OVN, OpenFlow) for NVIDIA's AI Clouds hosting GPU-accelerated workloads. Spans the full lifecycle from gRPC/REST network orchestration and upstream OVN-Kubernetes contributions to observability, GitLab CI/CD and production reliability engineering alongside SRE, DevOps and network teams.

OVS · OVN · OpenFlow +7

• London
• On-site
• Entry level
• Permanent

PhD students join an Amazon Science team to own an end-to-end research project, from scoping with a mentor to deploying algorithms, models or systems into production. Projects span computer vision for Prime Video quality, multimodal AI for Rufus, automated reasoning and formal verification, observability for distributed systems, and recommendation models. Interns may publish at top-tier conferences or see their work ship before the internship ends.

Rufus