Artificial Intelligence Jobs

• New York, United States
• Hybrid
• US$200,000 – US$250,000 pa
• Senior

Owns deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization) into customer production environments, building scalable training and inference pipelines and APIs on cloud and on-prem. Leads scoping and architecture design, mentors engineers and data scientists, and travels to customer sites roughly 3-4 weeks per quarter to embed AI models on-site.

Python · PyTorch · Pandas +3

• New York, United States
• Hybrid · 2–3 days in office
• US$120,000 – US$240,000 pa

Builds and deploys deep learning and probabilistic models to predict and control physical systems, working alongside simulation and ML engineers. Owns data pipelines and production deployment, and collaborates directly with customers on-site across multiple regions. Based in Manhattan with 2-3 days per week in office and frequent travel.

NumPy · SciPy · Pandas +2

• Munich - Berlin - London - Paris

Build and scale a GPU-based simulator that trains reinforcement-learning agents for air autonomy, modelling flight dynamics and sensing across thousands of parallel environments. Work spans sim-to-real transfer, domain randomisation and RL training tooling, at the intersection of AI, GPU computing and physics-based simulation, with room to grow into leadership.

CUDA · Taichi · NVIDIA Warp +3

• United Kingdom
• Hybrid
• Senior

Develops algorithms and optimizations for NVIDIA's LPX inference and compiler stack, building high-performance runtime and compiler components and mapping large-scale inference workloads onto future hardware. Works at the intersection of compilers, systems and deep learning, using LLVM/MLIR and frameworks like PyTorch and TensorFlow, and collaborates with hardware architects on codesign.

LLVM · MLIR · TensorFlow +3

• London
• £23,805 pa
• Entry level
• Contract

Develop a framework combining a differentiable reacting flow solver with a machine learning-based controller to anticipate and mitigate extreme events such as flashback and thermoacoustic instabilities in hydrogen and SAF combustion. The role sits within the European CONTEXT project, using high-fidelity simulations and Imperial's HPC facilities, with applications spanning novel actuators like spray water injection and electrically-driven droplet control.

HPC

• Oxford
• On-site
• £49,119 – £59,955 pa
• Senior · manages people
• Contract

Leads a research strand on Bayesian methods for evaluating and monitoring AI systems, publishing findings, running the lab's open-source software, producing policy-facing outputs, and guiding research assistants and students. Based in the Bayesian Governance Lab within Oxford's Department of Engineering Science, in collaboration with the Oxford Martin AI Governance Initiative, on a two-year fixed-term post.

• Oxford
• Hybrid · 3 days in office
• £39,424 – £47,779 pa
• Entry level
• Contract

Deliver AI safety research for the ARIADNE consortium, a Wellcome-funded generative AI system conducting clinical interviews to assess psychosis risk. Develop LLM supervisor modules that detect delusional reinforcement and inappropriate responses to suicidal symptoms, evaluating them in controlled testbeds with simulated patients and LLM-as-judge scoring calibrated against clinicians.

PyTorch · LLM APIs · Google DeepMind

• Bristol
• Entry level
• Internship

Research and develop techniques to GPU-accelerate leading high performance computing applications across scientific computing, computational engineering and data science. The intern performs in-depth analysis and optimisation for current and next-generation GPU architectures, working with application developers and collaborating with architecture, research, libraries, tools and system software teams.

CUDA · OpenACC · GPU

• Bristol

Research, develop and evaluate image processing and computer vision algorithms for complex weapon systems, using imaging sensors for situational awareness and precision targeting. Work spans tracking, optical flow, pose estimation, deep learning and computational imaging, primarily in Matlab/Simulink and Python with PyTorch, within a collaborative department linked to MBDA sites in France and Germany.

MATLAB · Simulink · Python +1

• Southampton
• Hybrid
• £41,064 – £45,064 pa
• Contract

Embed physics-informed generative AI tools into a marine vessel concept, generation and evaluation platform as part of a Knowledge Transfer Partnership between Compute Maritime Ltd and the University of Southampton. Develop and validate fast physics-informed models for ship resistance, propulsion and energy efficiency using CFD and benchmark data, and integrate multidisciplinary optimisation methods into the NeuralShipper platform.

PyTorch · TensorFlow · JAX +2

• Norwich
• £20,409 pa
• Entry level
• Contract

Develops and evaluates methods for reliable, localised and generalisable knowledge editing in large language models, adapting techniques such as ROME and MEMIT and comparing them with RAG, external memory and fine-tuning. Experiments use open-weight models on RTX 6000 Ada GPUs and UEA HPC, evaluated on benchmarks like CounterFact and zsRE, with optional deployment in embodied AI or social robots such as Furhat.

ROME · MEMIT · RAG +5

• Norwich
• £20,409 pa
• Entry level
• Contract

Develops hybrid fault diagnosis methods for offshore wind turbine drivetrains, combining physics-based analytical models with AI-driven data analysis to improve fault detection and reduce false alarms. The work spans numerical simulation, finite element modelling and experimental validation, with the goal of supporting predictive maintenance and cutting downtime costs.

Accelerometers

• Exeter
• £21,805 pa
• Entry level
• Contract

Develop next-generation machine learning models to predict genetic interactions from large-scale perturb-seq data, evaluating graph neural networks and autoencoders for genome-wide scalability. The purely computational project feeds a lab-in-the-loop cycle with pancreatic cancer screens from the AstraZeneca and Cancer Research Horizons Functional Genomics Centre, with results released as open-source software.

Perturb-seq · DepMap · Project Score

• Cranfield
• £21,805 pa
• Entry level
• Contract

A PhD studentship researching AI-on-RAN, optimising distributed and mobile inference of large language models by adapting token, memory and bandwidth use in real time. The work spans AI and telecoms, with cross-university FTH training and exposure to defence, government and infrastructure stakeholders, aiming to shape 6G network design.

AI-on-RAN · 6G

• Exeter
• £21,805 pa
• Entry level
• Contract

An interdisciplinary PhD co-designing miniaturised, low-power sensing hardware with AI for field-based wildlife monitoring, including individual recognition and automated behaviour quantification. Systems are benchmarked in controlled conditions then validated on wild jackdaws and West African field sites, spanning behavioural ecology, electronic engineering and data science.

Thermal Imaging · Cameras · Microphones