Artificial Intelligence Jobs

• United Kingdom
• Remote
• Mid-level
• Permanent

Owns large-scale distributed web crawling systems that discover, fetch and extract data from billions of pages to feed frontier AI models. Work spans content extraction from messy HTML, web-scale deduplication, recrawl and freshness strategies, politeness and rate limiting, plus tooling for researchers to request and explore crawled data.

Kubernetes

• Cambridge
• Hybrid · 2 days in office
• Mid-level

You will prototype and develop new ideas to improve Darktrace's cybersecurity services, balancing creativity with time constraints while collaborating with a cross-functional team of engineers, designers and strategists. Work spans rapid prototyping and structured platform development, with a primary focus on TypeScript alongside Docker and cloud environments.

Docker

• Cambridge
• Hybrid · 2 days in office

Conducts independent and collaborative research into language models, neural networks, statistical methods and classical machine learning, prototyping new ideas and improving existing projects. Implements models into the wider software stack, including optimised solutions for edge devices with tight latency and memory constraints, working closely with software engineers and security analysts.

PyTorch · TensorFlow · scikit-learn +2

• Cambridge
• Hybrid · 2 days in office
• Mid-level

Partners with developers and product teams to embed quality from the start, designing and maintaining automated test frameworks across API, UI, integration and regression layers. Builds scalable suites into CI/CD pipelines, drives shift-left testing, and contributes to test strategy, code reviews and architecture discussions.

Cypress · Playwright · pytest +7

• London
• Remote
• Lead
• Permanent

Hands-on principal IC role owning the ML platform that lets researchers and product teams train, serve and deploy generative models. Work spans research infrastructure, production serving, internal tooling and agent-oriented automation, with a focus on reliability, scalability and GPU/cloud resource efficiency. Distinct for its systems-generalist framing rather than pure ML engineering.

Kubernetes · Terraform · Datadog +4

• Cambridge
• Hybrid · 2 days in office
• Senior

Owns the prototyping and development of new ideas to improve Darktrace's cybersecurity services, balancing creativity with time constraints to ship novel features. Works with a cross-functional team of engineers, designers and strategists on projects spanning rapid prototyping to structured platform development, with a focus on defending against unknown cyber-attacks.

Docker

• 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

• London
• Senior

Lead the design and deployment of applied machine learning models for infrastructure and engineering, owning the full lifecycle from problem formulation to production iteration. Work spans optimisation, simulation and scientific ML, partnering with MLOps, software and domain experts to embed AI into a SaaS platform, with mentoring and technical leadership duties.

PyTorch · TensorFlow · scikit-learn +1

• United Kingdom
• Remote
• Senior
• Permanent · Flexible

This role involves working closely with government clients and partners to design and deliver AI-driven solutions that address public sector challenges. The Solution Architect will develop technical strategies, lead proof-of-concept initiatives, and translate mission goals into scalable AI implementations using NVIDIA’s hardware and software platforms. A strong focus is placed on hands-on technical guidance, creating educational resources, and advocating for customer needs in product development.

• 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

• 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.

• 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

• Oxford
• Hybrid
• £55,000 – £75,000 pa
• Mid-level
• Permanent

This role involves traditional quantity surveying and estimating duties on residential construction projects while actively championing the adoption of AI-driven tools within the commercial workflow. The candidate will prepare cost estimates, manage project valuations, and collaborate with teams to pilot AI technologies for predictive costing and automated take-offs. A unique opportunity to shape the integration of artificial intelligence in construction processes while maintaining core commercial responsibilities.

• London
• On-site
• £60,000 – £80,000 pa
• Senior
• Permanent

As a Solutions Architect, you will design and deliver cloud-native, AI-driven digital services that directly impact UK residents. You will work in multidisciplinary teams, focusing on scalable, secure, and user-centred solutions while championing the adoption of AI and modern architecture patterns.