Artificial Intelligence Jobs

Hadean · London

Lead a new AI-powered defence product team, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. You own delivery end-to-end, hiring and people development, partnering with Product and technical leads, with hybrid working one day a week in Shoreditch.

CrowdStrike · Reading

Six-month graduate internship in the Falcon Complete team, triaging and analysing security alerts, investigating customer inquiries, and performing basic malware analysis. Interns learn the Falcon platform and internal tooling while managing administrative tasks and presenting a project to improve security controls.

CrowdStrike · Germany

Internship on CrowdStrike's Technical Analysis Cell, researching nation-state and criminal intrusions through reverse engineering of malware and developing automation tools for threat tracking. Involves creating host- and network-based signatures for large-scale hunting and producing finished threat intelligence reporting for customers.

NVIDIA · Bristol

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 modern 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.

Barclays · Glasgow · £25,200 pa

A graduate apprenticeship in the technology function, rotating across capabilities to design and build digital solutions, analyse requirements and support delivery teams. Apprentices combine real project work with an AI and Data Science qualification, collaborating cross-functionally with business stakeholders while learning within defined procedures and controls.

The Francis Crick Institute · London · £47,500 pa

Lead a computational project modelling how driver mutation clones interact with their microenvironment in chronic liver disease and liver cancer. Develop graph neural networks, transformers and generative AI on large-scale spatial transcriptomics, single-cell and imaging data, in a cross-institutional collaboration with the Wellcome Sanger Institute's Lotfollahi Lab.

Databricks · United Kingdom

Customer-facing technical authority on Generative AI, LLMs and applied ML for digital-native and startup accounts across EMEA. Shapes architectures, builds hands-on proofs of concept and reference implementations on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog), and leads fine-tuning and evaluation engagements on open models. Also mentors the field engineering organisation and represents the company externally through talks and blogs.

Palo Alto Networks · London

Senior individual-contributor role bridging strategic customers, Product Management, Engineering and Sales across the Cortex platform. Sets technical strategy, influences roadmap decisions, and mentors field teams while developing deep expertise in XSIAM, XDR, XSOAR, CNAPP and AI Security.

Palo Alto Networks · Seville, Spain

Senior individual-contributor role in the Cortex organization, acting as a technical advisor to strategic enterprise customers and C-level security executives. Drives product strategy and roadmap by translating customer problems into requirements, while developing deep expertise in XSIAM, XDR, XSOAR, CNAPP and AI Security. Mentors technical staff and builds reusable architectures and enablement across cross-functional teams.

Aveni · United Kingdom

Senior technical co-lead of a product squad, owning architectural decisions, technical risk and engineering quality while remaining hands-on across Node.js or Python backends, event-driven AWS and React. Leads LLM feature development, drives AI coding tool adoption across the SDLC, and mentors engineers in an FCA-regulated fintech context.

Faculty · Remote (UK)

Sets technical direction for complex, business-critical AI projects in the defence sector, architecting production-grade machine learning solutions and overseeing end-to-end delivery. Balances speed, innovation and reliability while mentoring data scientists and acting as a trusted technical advisor to demanding clients. Requires UK Security Clearance eligibility and 2-4 days per week on-site with customers.

Faculty · Remote (UK)

Lead the technical delivery of computer vision projects for defence clients, architecting systems that bridge SOTA research and production deployment. Act as technical authority across bids, strategy and capability building, mentoring multidisciplinary teams while working 2-4 days per week on client sites.

Humanoid · London

Hands-on engineering lead owning the path from AI agent task to healthy deployed change, building secure reproducible agent runtimes, verification tooling, and developer interfaces. Recruits and leads a new developer productivity team while working across Developer Tools, Security, Simulation, and robot software to cut cost and review time per accepted change.

Humanoid · London

Teleoperate humanoid robots and follow structured procedures to generate high-quality datasets for training AI models, using on-site tools such as the Universal Manipulator Interface. A large part of the work is annotating and labelling multimodal data with precision, escalating anomalies and suggesting workflow improvements. Full training is provided and no technical background is required.

University of Essex · Ipswich · £40,000 – £45,000 pa

A KTP Associate role embedded at Distag QCS in Ipswich, working with a large, messy ERP dataset never designed for machine learning. The post holder shapes the data, builds reliable models, and leads the introduction of data-driven decision making in a business with no existing in-house data science capability. It blends hands-on Python development with change management, communication and academic paper contributions.

Avanti Recruitment · Saint Peters, Australia · £80,000 – £100,000 pa

Take technical ownership of a new AI layer within an established SaaS document-processing platform for the legal sector, working closely with a hands-on CTO. Design production AI/ML systems in Python using NLP, LLMs and retrieval approaches, covering architecture, data pipelines, evaluation and monitoring, while providing technical direction and remaining hands-on.