Artificial Intelligence Jobs

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.

PhysicsX · Singapore

Lead technical delivery of physics-informed AI, architecting deep learning models and optimisation methods to predict and control physical systems. Own data pipelines and pre-processing best practices while mentoring a team and collaborating with simulation engineers and customers. Involves frequent on-site customer travel across multiple regions.

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.

Matchtech · Cambridgeshire · £450 – £650 pd

Contract Python developer role focused on building and maintaining software for integration with a defence cloud environment. Day-to-day work spans data and AI, automation and tooling, and DevOps, using Red Hat OpenShift, Quay, HashiCorp Vault, Tekton Pipelines, GitHub, ArgoCD and SonarQube within agile teams. Requires UK Eyes Only clearance eligibility and is based on-site/hybrid in Cambridgeshire.

University of Exeter · Exeter · £21,805 pa

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.

The University of Manchester · Manchester · £48,337 – £59,390 pa

Develops and applies machine-learning and AI methods to protein engineering and enzyme design, analysing large biological, chemical and experimental datasets and building predictive models and computational tools. Works within an interdisciplinary group spanning the Manchester Institute of Biotechnology and Department of Chemistry, providing ML and data-science expertise, training and support to postdocs and students, and contributing to publications and funding bids.

Becrypt Ltd · London

Hands-on principal-level individual contributor leading AI adoption across engineering, product, IT and operations. Designs and builds agentic workflow platforms, AI gateways and Docker-based services using Python, FastAPI, TypeScript, MCP/FastMCP, OpenAI and AWS Bedrock, while owning AI policy, governance and risk frameworks. Also probes AI systems for vulnerabilities and advises leadership on AI strategy.

OpenAI · London

Owns a small portfolio of complex enterprise accounts, driving the full sales cycle from pipeline generation to deployment of AI products. Partners with researchers, engineers and solution strategists on customer programs while carrying a consumption revenue target and forecasting. Requires deep technical fluency and executive-level relationship building.

Queen's University Belfast · Belfast · £42,972 – £51,270 pa

Conducts research in hardware-accelerated custom computing within QUB's Centre for Secure Information Technology, contributing to the European RIGOLETTO initiative on an open RISC-V automotive hardware platform for software-defined vehicles. Involves FPGA design, CPU architecture work, and collaboration with academic and industrial partners.

Anthropic · London · £190,000 – £230,000 pa

Lead and grow a distributed EMEA team of Applied AI Architects, setting pre-sales standards and acting as technical lead on strategic digital-native accounts. The role involves use case scoping, POCs, demos, and guiding customers through GDPR, EU AI Act, and data residency requirements while partnering with Sales, Product, and Engineering.

Cranfield University · Bedford · £38,655 – £46,492 pa

Integrates four strands of AI research into a single flight-deck assistant and validates it with airline pilots in Cranfield's Future Systems Simulator. Builds the software platform and automated test framework for real-time operation, creates flight scenarios, runs simulator trials and publishes findings within an EU Horizon Europe project.

University of Hertfordshire · Hatfield · £39,560 – £46,970 pa

Postdoctoral role delivering research on innovative AI/ML algorithms for predictive modelling and optimisation of agricultural applications from heterogeneous data, as part of an Innovate UK-funded collaborative project. Involves developing AI/ML software tools, data management and analysis, supporting the Principal Investigator on project milestones, and contributing to publications and reports.

The Alan Turing Institute · London · £96,000 – £115,000 pa

Provides scientific and strategic leadership for the AI for Physical Systems research area, shaping a portfolio spanning probabilistic modelling, uncertainty quantification, efficient architectures and physics-informed machine learning. Leads a multidisciplinary team of researchers and engineers, taking methods from foundational research through to deployment on real-world resilience challenges, and builds collaborations across academia, government and industry.

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.