Artificial Intelligence Jobs

Capital One · Derby

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. The role combines technical direction-setting, stakeholder collaboration and mentoring, taking ideas from prototype through to production in a hybrid Nottingham-based team.

Capital One · Leicester

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Set technical direction, mentor junior team members and drive prototypes through to production in collaboration with business stakeholders.

PhysicsX · Singapore

Deliver high-fidelity multi-physics CFD simulations, from geometry clean-up and meshing to post-processing and validation against experimental data. Build parametric CAD models and automate simulation pipelines for design optimisation and DoE, generating datasets for machine learning surrogates. Partner directly with customers on-site and mentor junior colleagues.

PhysicsX · Singapore

Develops high-fidelity multiphase CFD and DEM models for industrial bioprocess and chemical engineering applications, covering gas-liquid, solid-liquid, VOF and Euler-Euler/Euler-Lagrange approaches. Owns the full simulation pipeline from geometry clean-up and meshing to solver setup, HPC job scheduling and experimental validation, while building parametric CAD models and AI surrogate models to support design optimisation and customer-facing delivery.

CrowdStrike · London · £140,000 – £215,000 pa

Lead a team of engineers building self-service infrastructure-as-code primitives, architecting large-scale core services and driving cloud cost optimisation across a multi-cloud estate. The role combines people management, on-call ownership and hands-on work with Terraform, Pulumi, Python or Go, Linux and SRE practices, with hybrid working near an office.

CrowdStrike · USA, NY · US$140,000 – US$215,000 pa

Lead a growing team of engineers building self-service infrastructure-as-code primitives, high-availability core services and multi-cloud platforms at massive scale. The role blends people management with hands-on architecture, cloud cost optimisation and SRE practices across AWS and GCP, with hybrid working expected near office locations.

University of Exeter · Exeter · £21,805 pa

Develops a resource-aware AI framework for 2D and 3D medical imaging that adapts computation to case complexity, clinical risk and available hardware. Investigates where unnecessary computation occurs, builds a configurable model family, and validates it on population-scale abdominal MRI (UK Biobank) and near-patient dermatology imaging, with safety assessed across patient subgroups.

MOON RECRUITMENT · Rugby

Assists the commercial and operational teams in preparing accurate estimates, quotations and tender submissions for bespoke joinery projects, reviewing drawings and specifications and analysing material, labour and installation costs. Liaises with suppliers and subcontractors on pricing and uses AI-powered estimating software, with structured training and a route into a more senior commercial role.

Faculty · London

Lead the scientific direction and architectural rigour of upstream AI safety and evaluation standards, partnering directly with Frontier Labs. Design novel experiment frameworks, mentor data scientists, and translate complex challenges into rigorous scientific frameworks for high-stakes client engagements. Combines deep research with commercial strategy and thought leadership.

Wayve · London

Owns the autonomy performance measurement framework for a public-scale robotaxi deployment, defining metrics, dashboards and release gates for an end-to-end learned driving system with no existing playbook. Runs the performance improvement loop across model, robot software, backend and evaluation tooling, leading cross-functional execution without direct reporting authority while staying hands-on in Python, C++ and SQL.

Wayve · London

Lead the Applied Methods Data Science team, partnering with the Autonomy organisation to turn experimental and observational analysis of real and simulated driving into evaluations and insights. Set three-, six- and 12-month roadmaps, review technical proposals for statistical rigour, hire and grow data scientists, and build tooling to scale the team's capability.

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.

Faculty · London

Owns and develops product and service design as a core discipline within the Applied AI division, delivering billable client engagements and anchoring project deliverables. Builds executive relationships with client leadership, defines skill and progression frameworks, and partners with business development to shape multidisciplinary teams. Balances strategic delivery with building an entrepreneurial design function.

Back TO Work · Nottingham · £26,500 pa

An apprenticeship supporting a manufacturing firm's IT and security team, monitoring production networks for unusual activity, responding to alerts, managing user accounts and access permissions, and helping maintain security standards across office and factory systems. The role blends cybersecurity with AI, using AI-powered tools for anomaly detection, automation and reporting dashboards, while learning to protect operational technology and connected devices.

Back TO Work · Derby · £26,500 pa

An apprenticeship supporting a manufacturing firm's IT and security team, monitoring production networks for unusual activity, responding to alerts, managing user access and updating security guidelines. The role blends cybersecurity with AI, using AI-powered tools for anomaly detection, automation and analytics dashboards, while learning to protect operational technology and connected factory devices.