Artificial Intelligence Jobs

• Singapore
• Senior

Builds and applies advanced thermal, chemical and multiphase CAE models in Abaqus, ANSYS or COMSOL, coupling heat transfer with fluid, diffusion and electrostatic phenomena. Works directly with customers, often on-site, instrumenting physical processes to generate validation data and integrating models into AI tools. Combines shop-floor manufacturing experience with Python/Java automation and parametric CAD.

Abaqus · ANSYS Mechanical · ANSYS Fluent +4

• New York, United States
• Hybrid · 2–3 days in office
• Senior

Builds and automates high-fidelity electromagnetic models across low- and high-frequency applications, from chip and package design to EMI/EMC, using tools like HFSS, Maxwell and CST. Works at the intersection of CAE and data science, generating simulation data to train ML surrogates, collaborating with customers and mentoring junior engineers.

Ansys HFSS · Ansys Maxwell · CST Studio Suite +7

• Aarhus, Denmark
• Remote
• Senior
• Permanent

Owns major components of the Windows kernel-mode endpoint sensor, architecting and building anti-virus and EDR features that cut across file system, memory, process and networking subsystems. Works on cross-platform deliverables with shared components across Windows, Mac and Linux, leading projects from design through delivery and demo.

Windows · Mac · Linux +2

• London
• Remote
• Senior
• Permanent

Builds and owns major components of the Falcon endpoint sensor, a Windows kernel-mode driver that observes system activity, detects malicious behaviour and provides on-box prevention plus telemetry to the cloud. Work spans OS internals such as file system, memory, process and networking, with cross-platform components shared across Windows, Mac and Linux.

Windows · Mac · Linux +3

• Sydney, Australia
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML systems for a diverse client base, covering architecture, scalable infrastructure and engineering standards. Work across the full ML lifecycle with TensorFlow or PyTorch, cloud platforms and Docker/Kubernetes, while advising clients and mentoring junior engineers.

TensorFlow · PyTorch · AWS +5

• Sydney, Australia
• Hybrid
• Mid-level
• Permanent

Builds and deploys production-grade machine learning systems, creating reusable, scalable tooling and infrastructure for client projects. Works across the full ML lifecycle with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, while leading technical scoping and advising non-technical stakeholders.

Scikit-learn · TensorFlow · PyTorch +5

• London
• Hybrid
• £370,000 – £630,000 pa
• Mid-level

Builds and improves the RL training infrastructure researchers rely on, profiling and rearchitecting bottlenecks across the stack and owning run reliability end-to-end. Works closely with researchers and adjacent teams like inference and sandboxing, spanning low-level performance work through to RL algorithms.

JAX · PyTorch

• London
• Hybrid
• £325,000 – £485,000 pa
• Lead

Sets technical direction for agent-driven compute cluster lifecycle management, covering provisioning, updates and decommissioning across major clouds and own datacenters. Partners with security, research and cloud providers on secure-by-default, high-bandwidth clusters, scalability and fault tolerance, while mentoring engineers and shaping incident response and on-call practices.

Kubernetes · Terraform · AWS +7

• London
• Hybrid
• Lead
• Permanent

Lead the technical direction for an offline 3D reconstruction system that turns raw vehicle sensor data into quality-assessed 3D ground-truth geometry and ego motion. The role spans SLAM, lidar point-cloud registration, state estimation and sensor fusion, with responsibility for architecture, roadmaps, prototypes and cross-functional alignment across perception, calibration and validation teams.

ROS · PCL · OpenCV +3

• London
• Hybrid
• Lead
• Permanent

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.

Databricks · Looker · Grafana +1

• London
• £76,800 – £115,200 pa
• Senior

Designs, benchmarks and optimises deep learning models for computer vision and surgical video analysis, focusing on low-latency inference on edge and cloud devices. Works with PyTorch, TensorRT and video pipelines alongside ML, platform and embedded engineers in a fast-prototyping team.

PyTorch · TensorRT · NumPy +6

• Cambridge
• Hybrid
• Permanent

Designs and develops web-based applications that apply core AI technology to legal-sector use cases, working across UI, backend, or a mix of both. Uses a modern stack including JavaScript frameworks like React or Vue and server-side technologies such as Node.js, PostgreSQL, Elasticsearch or Redis. Open to graduates as well as more senior engineers with proven experience.

Backbone.js · React · Vue.js +6

• 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

• Oxford
• On-site
• £49,119 – £58,265 pa
• Senior
• Contract

Develops and validates machine learning models for disease forecasting and simulation models for scenario exploration, using large-scale epidemiological, genomic and behavioural data. Builds decision-support tools and reproducible pipelines, integrating them into public health workflows with partners in Nigeria and the DRC through co-design workshops and training.

• London
• £96,000 – £115,000 pa
• Director · manages people
• Permanent

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.