Artificial Intelligence Jobs

• London
• Hybrid
• Mid-level
• Permanent

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

Scikit-learn · TensorFlow · PyTorch +5

• London
• Hybrid
• Mid-level
• Permanent

Builds and enhances scoring and detection tooling on Quantexa's Decision Intelligence platform, turning complex interconnected data into insights for financial crime detection. Works across the stack with agentic AI tooling, taking features from concept to release alongside product teams and senior engineers.

Scala · Java · Spark +7

• United States
• Hybrid · 3 days in office
• US$200,000 – US$225,000 pa
• Mid-level

Build and own core platform capabilities including application infrastructure, APIs and shared services, developing full stack applications in Python, React and TypeScript. Surface machine learning and predictive analytics insights through intuitive interfaces and integrate AI/LLM workflows into production, working in a small innovation team with significant architectural ownership.

Python · React · TypeScript +1

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

Join a newly formed Scheduling team to own and extend systems that orchestrate compute allocation for complex ML workloads on Kubernetes. You'll design scheduling policies like gang scheduling and topology-aware placement, build custom Kubernetes controllers and CRDs, and partner with ML researchers to maximize GPU/TPU utilization.

Kubernetes · Kueue · Volcano +5

• London
• Hybrid
• Permanent

Builds full-stack geospatial services in Python and TypeScript, turning global road-network and navigation data into products for an autonomous driving platform. Owns data pipelines with PySpark and Databricks, route-planning applications, and map data preparation for training and simulation, deploying services on Azure and Kubernetes end to end.

Databricks · Mapbox · TomTom +7

• London
• Hybrid
• Mid-level
• Permanent

Design, build and operate core components of the Auto-review and Guardian platform, evaluating agent actions in real time to detect harmful behaviour and support safe recovery or escalation. Work spans architecture, implementation, evaluation and operations, partnering closely with alignment researchers, product, security and infrastructure teams to make agent safety a foundational capability.

OpenAI

• London
• Entry level

New grad engineers own customer-facing work from day one, shipping products, speaking directly with customers and iterating quickly. The Global Public Sector team builds custom AI applications, training data pipelines for national LLMs, evaluation infrastructure, agentic AI tooling and fraud-detection systems, working in Python, TypeScript, React and MongoDB.

Python · TypeScript · React +3

• London
• Hybrid
• Permanent

Builds reusable Python libraries and platform tooling for multimodal data loading, distributed training, inference, checkpointing and observability, supporting ML teams running models across thousands of GPUs. Partners closely with researchers to turn complex workflows into stable, scalable software, leading projects from discovery to delivery. A software and platform engineering role rather than ML modelling.

PyTorch · TensorFlow · Azure +3

• London
• Hybrid
• Permanent

Builds and optimizes the large-scale compute platform behind frontier AI, spanning bare-metal automation, Kubernetes scheduling, high-performance networking, storage, and fleet health. Engineers work across the stack, profiling training workloads, improving NCCL and collective communication, and creating tooling that makes heterogeneous clusters reliable and usable.

Kubernetes · NCCL · RDMA +3

• London
• Hybrid
• Mid-level
• Permanent

Builds and deploys production-grade ML software, tools and infrastructure, creating reusable solutions that accelerate ML delivery and capability testing of frontier AI models. Leads technical scoping and architectural decisions, advises clients and partners, and works with frontier labs on AI safety red teaming and evaluation.

AWS · Azure · GCP +5

• Salford
• Hybrid
• Mid-level

Builds production-grade generative AI solutions using Python, OpenAI and Anthropic LLMs, REST APIs and agentic technologies within a cross-functional engineering team. Offers freedom to experiment with emerging AI tooling such as Amazon Bedrock and LiteLLM, taking applications from proof of concept through to production.

OpenAI · Anthropic · GitHub Copilot +5

• London
• Entry level
• Internship

Interns own real, shipped work on the same roadmaps as full-time engineers, building agentic AI applications, evaluation infrastructure, data pipelines and fraud-detection systems for Scale's Global Public Sector team. Work spans Python, TypeScript, React and MongoDB, with mentorship and a strong ownership culture.

Python · TypeScript · React +2

• London

Build a greenfield research and trading platform from scratch within a pod-like team at a prop trading firm investing heavily in GPUs and compute. Work on distributed training, GPU-heavy workloads and MapReduce-style systems using Ray, Spark, Dask, Databricks, Anyscale, Cloudera or Snowflake, with Kubernetes for ML clusters.

Ray · Spark · Dask +6

• Cambridge
• £35,000 – £45,000 pa
• Entry level

Graduate or junior engineers work across a defence product portfolio spanning ML systems, signal processing and software defined radio, from cloud platforms down to low-power electronics. The role suits versatile problem-solvers with strong knowledge of at least one programming language, joining a small, growing team of engineers from varied fields who provide mentorship.

UAV · Drones

• London
• Hybrid · 3 days in office
• Lead

Technically lead the Platform group, designing, operating and refining cloud infrastructure across research, development and production. Work spans GCP, Kubernetes, Docker, Terraform and Kapitan, plus CI/CD, observability and tooling, partnering with scientists, ML researchers and product teams. Reports to the Director of Engineering in a small, fast-moving team.

GCP · Kubernetes · Docker +7