Artificial Intelligence Jobs

• London
• Hybrid · 3 days in office
• Lead

Design and evolve a large-scale ML infrastructure platform that supports distributed training and inference workloads, working closely with research, engineering and product teams. The role also explores deploying agents to improve platform robustness and reliability, in a hybrid London setup requiring three office days a week.

Kubernetes · Google Cloud Platform · GCP

• 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

• United Kingdom
• Remote
• Lead · manages people

Lead a team of three data scientists at the intersection of machine learning, big data and cybersecurity, setting technical standards and driving strategy for threat detection and agentic AI systems. Work spans research through production deployment, using CrowdStrike's large-scale behavioural and malware data, while mentoring the team and partnering with security research, engineering and product.

AWS · Linux

• Spain
• Remote
• Lead · manages people

Leads a team of three data scientists building machine learning and agentic AI systems for threat detection, malware analysis and security automation. Owns technical strategy, roadmaps and production deployment while mentoring staff and partnering with security research, engineering and product teams.

AWS · Linux

• Reading
• On-site
• Senior
• Permanent

Lead the definition and implementation of hardware and software security architecture for next-generation networking products, taking a hands-on role in microarchitectural modelling, validation and standards work. Collaborate with internal hardware, software and research teams plus external partners on open-source and IO interfaces such as I2C, I3C, SPI, USB and PCIe, and engage with customers on security threats.

I2C · I3C · SPI +3

• Cambridge
• Hybrid · 2 days in office
• Director · manages people

Leads the strategy, roadmap and execution of Darktrace's interactive demo estate, managing a small team of technical content specialists. Partners with Product, Marketing, Enablement and Sales Engineering to evolve demos from on-rails walkthroughs into live sandbox environments, overseeing scenario, training and video content.

Reprise · Storylane · Navattic

• London
• Senior · manages people

Lead and grow Scale AI's enterprise product design team, setting the direction for design across applications used by enterprise and government customers making high-stakes decisions. Own hiring, craft standards, and design execution from problem scoping to delivery, while shaping interaction patterns for human-in-the-loop and agentic AI systems.

AI Agents

• United Kingdom
• Remote
• Senior
• Permanent

Lead security research, architecture and implementation for next-generation NVIDIA Networking products, taking a hands-on role defining hardware and software security solutions. Work across hardware, software, research and product teams, and with external partners, on IO interfaces, boot architecture, RISC-V, root-of-trust and secure platforms.

I2C · I3C · SPI +3

• London
• Hybrid
• Senior · manages people
• Permanent

Lead end-to-end delivery of complex AI/ML engagements for enterprise customers, from strategic planning through pre-production deployment and optimisation. Architect solutions on AWS services with a focus on Generative AI using Amazon Bedrock and SageMaker, while mentoring junior consultants and supporting pre-sales scoping. Based in AWS UK offices when not at customer sites.

AWS · Amazon Bedrock · SageMaker

• London
• Remote
• Contract

Deliver technical training content to data and AI apprentices through workshops and drop-in sessions, moderating assignments and tracking learner progress against apprenticeship standards. Requires proficiency in at least two of Excel for BI, Tableau or Power BI, plus predictive modelling, time series forecasting and statistical methods, with SQL and Python a bonus.

Excel · Tableau · Power BI +4

• Exeter
• £21,805 pa
• Contract

Develops a multiscale Scientific Machine Learning digital-twin framework to predict thermal trajectories, torque capability and efficiency in low-speed, high-torque electric propulsion under extreme duty cycles. Combines physics-informed hybrid architectures (DNNs, neural state-space models, Neural ODEs) with safety-constrained dynamometer experiments at the Centre for Future Clean Mobility, in collaboration with marine power-systems company Ecomar Innovations.

Neural Ordinary Differential Equations · Deep Neural Networks · Recurrent Neural Networks +2

• Exeter
• On-site
• £21,805 pa
• Entry level
• Contract

Investigates whether small language models running on local workstations or on-premises servers can serve as reliable agents for bounded business workflows. The student will distil agentic capability from large teacher models via harness optimisation and fine-tuning on execution traces, measuring reliability, cost, latency and data locality, and releasing open tooling for UK SMEs.

Large Language Models

• London
• Remote
• Director

Serves as strategic business partner and Chief of Staff to the Heads of Pipeline & Project Management and Data Science (EDGE), architecting executive operating rhythms, QBRs and board-level briefings. Leads multi-year workforce planning, capacity modeling, functional budget stewardship and post-deal integrations, while driving process improvement and AI-enabled operational transformation across R&D.

AI · Data Science · SaaS