Artificial Intelligence Jobs

• 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
• Lead

Hands-on principal engineer joining a small senior team tackling the hardest technical problems in public sector AI engagements. Shapes technical approach with clients, builds rapid prototypes spanning AI agents, RAG and evaluation pipelines, defines reusable architecture, and mentors engineers across a young organisation.

AWS · GCP · Azure

• United Kingdom
• Remote
• Permanent

Builds core platform foundations covering workspaces, user management, API keys, login, analytics and admin tooling, or generic resource and permissioning services used by product teams. Works on systems on the path of every request for millions of users, scoping changes in a large existing codebase, rolling out safely and debugging from customer reports and logs. Backend leaning with Python, shipping customer-facing features end to end.

OAuth · SSO · SCIM +2

• United Kingdom
• Remote
• Mid-level
• Permanent

Builds and scales data pipelines from ingestion to delivery, implementing dbt best practices, data standards and quality controls. Develops self-service tooling and documentation so teams like Engineering, RevOps and Growth can access data independently, and creates AI agents to answer data questions. Works remotely within a lean, high-velocity data team.

dbt · Python · SQL +2

• Seattle, United States
• Hybrid
• US$200,000 pa
• Lead
• Permanent

Builds and operates core enterprise platform systems, ensuring security, reliability and scalability for large customers, and contributes to a new API suite exposing Avatar technology to external creative tools. Owns multi-month, cross-team projects, translating business and regulatory requirements into scalable designs, and works with Python, React and AWS alongside product, security, legal and infrastructure partners.

Python · React · AWS +2

• London
• Hybrid
• Lead
• Permanent

Owns the multi-quarter strategy for two connected domains, Surveys and Guidance, inside a zero-to-one agentic AI bet on real-time practice and readiness proof. Sets success metrics tied to retention, expansion and revenue, works closely with enterprise customers, and writes strategy docs and PRDs. Hybrid role based in the London office.

• Cambridge
• Hybrid · 2 days in office
• Senior

Builds and maintains a macOS codebase in modern C++ and Swift, leading projects from rapid prototyping to structured platform development. Works with cross-functional R&D teams on cyber-threat defence, contributing to code reviews, testing and mentoring, with Docker and cloud environments in the stack.

Docker

• Cambridge

Join a global team continuously developing and improving threat detection capabilities across key product areas. You'll respond to customer incidents, analyse cyber threat intelligence, and expand detection schemes aligned to adversary techniques, collaborating with Development, Security Research and SOC teams.

Darktrace · GitLab · Python

• London
• Lead

Security lead for an AI engineering team's products and platform, owning design reviews, threat modelling, and sign-off authority for new features. Secures LLM-powered capabilities against prompt injection and data leakage, drives CVE remediation, maintains SAST/SCA/IaC scanning in CI/CD, runs pen testing, and leads incident response across Azure and GCP.

Azure · GCP · GitHub Actions +7

• Cambridge
• Hybrid
• Permanent

Join a small, dynamic R&D team prototyping and implementing new approaches to AI problems, evaluating output quality, efficiency and feasibility against other techniques in a data-driven way. Work spans data science on large datasets, modelling and evaluation, using Python ML frameworks such as PyTorch, TensorFlow and Scikit-Learn. Open to graduates as well as senior candidates with published work in NLP, Computer Vision or Deep Learning.

Python · PyTorch · TensorFlow +1

• Manchester
• Senior

Lead the design and delivery of AI, machine learning, agentic AI and RAG-based solutions for a financial consultancy's client engagements. Build production-grade models with Python and PyTorch, design MLOps frameworks, CI/CD pipelines and cloud-native model serving, while mentoring engineers and shaping technical strategy.

PyTorch · GCP · Docker +4

• London
• Hybrid
• £68,284 – £76,244 pa
• Senior
• Permanent

Develops and leads an AI-driven research programme in biomolecular design and molecular interactions, combining structural biology, biophysics and machine learning to model protein–ligand, protein–protein and protein–nucleic acid systems. Teaches computational biology and biomolecular design at undergraduate and postgraduate level, including a new cross-division MRes in AI for Bioscience, within UCL's Research Department of Structural & Molecular Biology.

• United Kingdom
• Remote
• Lead · manages people
• Permanent

Hands-on technical leadership of the core platform services underpinning an AI product for regulated financial services, spanning client-data ingestion, CRM integrations and APIs, multi-tenancy, identity and data lifecycle. Leads roughly six to seven engineers while remaining close to production code, primarily Node.js on AWS with event-driven, distributed systems.

AWS · Node.js · Python +3

• Switzerland
• Remote
• Senior

Develops performance optimizations in deep learning frameworks using JAX, contributing to JAX core components and driving peak performance on NVIDIA hardware. Works with AI researchers to build future-proof models and tooling that bridges numerical computing, simulation and deep learning research. Requires C/C++ and Python skills plus deep knowledge of ML framework internals and CPU/GPU architectures.

JAX · PyTorch · TensorFlow +4

• United Kingdom
• Remote
• Senior

Develops performance optimizations in deep learning frameworks using JAX, contributing to JAX core components and driving peak performance on NVIDIA hardware. Works with AI researchers to build future-proof models and tooling that bridges numerical computing, simulation and deep learning research. Requires C/C++ and Python, ML framework internals, and CPU/GPU architecture expertise.

JAX · PyTorch · TensorFlow +4