Machine Learning Jobs

• New York, United States
• Hybrid
• US$240,000 – US$300,000 pa
• Director · manages people

Leads regional deployment engineering for a physics AI platform, owning end-to-end delivery into customer-owned infrastructure and acting as primary technical contact for CIOs and CTOs. Combines executive engagement with hands-on work on Kubernetes, cloud and infrastructure-as-code deployments, while hiring and scaling a team of deployment engineers. Requires navigating regulated, high-security and on-prem/HPC environments.

Kubernetes · AWS · Azure +6

• New York, United States
• Hybrid
• US$150,000 – US$250,000 pa
• Senior

Build and deploy customer-facing applications that put physics AI models into production, working directly with customers, data scientists and ML engineers. The role spans rapid prototyping, backend development with Python/FastAPI microservices, and cloud deployment using Kubernetes, Terraform and AWS/Azure, with frequent on-site travel to customer sites.

FastAPI · Helm · Kubernetes +3

• Sheffield
• Hybrid
• £39,560 – £41,885 pa
• Entry level
• Contract

Develops explainable machine learning models, including symbolic regression, Bayesian optimisation and genetic algorithms, to decode polymer-solvent thermodynamics and soft-matter physics. Involves featurizing complex polymer architectures, analysing multi-modal experimental datasets, and building open-source cheminformatics tools in Python/Julia for sustainable inverse formulation design.

Python · Julia · C++ +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 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

• United Kingdom
• Entry level

Graduate role working on client assignments across embedded systems, spanning analogue and digital hardware, FPGA design, PCB layout and embedded software in C, C++ or Rust. You'll join a multi-disciplinary team, interact directly with clients through requirements capture to handover, and work on projects from consumer devices to defence and national security.

SystemVerilog · FPGA · LEGO

• Bristol
• On-site
• £50,000 – £58,000 pa
• Permanent

Research, develop and evaluate image processing and computer vision algorithms for advanced defence applications, applying AI and machine learning to complex imaging challenges such as segmentation, tracking, detection and classification. Work alongside multidisciplinary specialists using Python, MATLAB or Simulink, with a predominantly onsite pattern of four to five days per week in Bristol.

Python · MATLAB · Simulink +1

• Exeter
• £21,805 pa
• Entry level
• 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. Combines physics-informed neural networks, neural state-space models and Neural ODEs, validated through safety-constrained dynamometer experiments at the Centre for Future Clean Mobility and on-site work with a marine power-systems partner.

Neural Ordinary Differential Equations · Deep Neural Networks · Recurrent Neural Networks +1

• London
• On-site
• Junior
• Internship

The Junior Quant Researcher will conduct quantitative research using statistical and predictive modeling techniques, manage the full lifecycle of strategy development, and create computer-based models to predict financial market movements. The role involves working closely with a start-up environment, requiring a strong background in machine learning and programming.

• London

Develop and test alpha-generating strategies for systematic equity portfolios using statistical techniques, machine learning, and large-scale data analysis. Work closely with portfolio managers to transition research into live trading, building predictive models and robust research infrastructure in Python. Focus on rigorous backtesting, signal validation, and collaborative research in a high-impact environment.

• London
• On-site
• Senior
• Permanent

Develops learning-based locomotion and whole-body control policies for humanoid robots, using reinforcement and imitation learning, generative models and motion primitives. Builds scalable simulation and training pipelines in Isaac Lab and MuJoCo, and deploys, debugs and fine-tunes policies on physical robots, tackling sim-to-real transfer and real-time inference latency.

Isaac Lab · Isaac Sim · MuJoCo +1

• Cambridge
• £35,000 – £45,000 pa
• Entry level

Engineer the future of defence and securityThis team is motivated by saving lives in war affected regions and on the battlefield. They believe that by combining advanced technologies from different sectors they can fundamentally change the effectiveness of those we…

• United Kingdom
• Remote
• Senior
• Permanent · Flexible

Act as a trusted technical advisor to government clients and partners, translating public sector missions into AI-driven solutions using NVIDIA's hardware and software. Lead hands-on deployments, develop proof-of-concepts, and create technical resources that bridge policy goals with AI implementation. Collaborate across engineering, product, and sales teams to drive adoption of sovereign AI and agentic systems in government services.

• London
• Remote
• Entry level
• Temporary

A four-month, full-time research fellowship focused on empirical AI safety and security projects, using external infrastructure like open-source models and public APIs. Fellows receive direct mentorship from Anthropic researchers, join a shared workspace or work remotely, and aim to produce a public output such as a paper submission.

Large Language Models · Deep Learning Frameworks

• Cambridge
• £63,606 – £67,468 pa
• Senior
• Permanent

Contribute to research and teaching in artificial intelligence and machine learning as a faculty member, developing novel models, abstractions and architectures. The role involves supervising Masters and PhD students, creating graduate content for the MPhil in Advanced Computer Science, and teaching undergraduate machine learning and mathematics. The appointee is expected to secure research funding and build a world-class team, collaborating across computer science subdisciplines and with fields such as mathematics, engineering and physics.

• London
• Remote
• Temporary

A four-month, full-time research fellowship focused on empirical AI projects in either ML systems and performance or reinforcement learning. Fellows work with external infrastructure like open-source models and public APIs, receive direct mentorship from Anthropic researchers, and aim to produce a public output such as a paper submission.

Claude