Machine Learning 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, optimisation) into customer production environments, building scalable training and inference pipelines and APIs on cloud and on-prem. Works directly with customers on-site, leads scoping and architecture, and mentors engineers and data scientists. Tech stack includes Python, PyTorch, Pandas, fastAPI, Scipy and Kubeflow.

Python · PyTorch · Pandas +5

• 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 engineers and customers. Owns data pipelines and production-ready models, and travels to customer sites roughly 3-4 weeks per quarter to co-develop solutions on-site.

NumPy · SciPy · Pandas +2

• London
• Hybrid · 3 days in office
• Senior · manages people

Lead computational chemistry strategy across drug discovery programs, applying AI-first approaches to hit finding, molecular design and lead optimisation. Work with ML scientists to embed generative models into cheminformatics workflows, with some roles managing 2-3 computational chemists.

REINVENT · AlphaFold · Large Language Models

• London
• Hybrid · 3 days in office
• Lead · manages people

Lead a team of biologists in the Exploratory Sciences group, owning in vitro pharmacology strategy for novel modalities such as TPD, molecular glues and peptides. Design screening cascades and quantitative assays, set ML-ready data standards, and champion LLM agentic workflows while managing CRO and academic studies.

SPR · GCI · nanoDSF +5

• Monroe, Ohio, United States
• On-site
• Mid-level
• Shift work

Provide first response to engineering fault conditions and carry out electrical and mechanical planned and reactive maintenance across a highly automated customer fulfilment centre. Diagnose breakdowns, perform assembly and sub-assembly repairs from blueprints and schematics, analyse MHE performance data and complete quality inspections. Initial 6-9 months involve training and travel to another North American site, with shift work covering days and weekends.

Computerized Maintenance Management Systems · G-Suite · MS Office

• Erith
• On-site
• Mid-level
• Shift work

You'll be the principal point of contact for critical technical issues at Ocado's largest operational Customer Fulfilment Centre, keeping the 24/7 operation running through proactive improvement works and maintenance on conveyor networks, lifts and cranes. The role works a 12-hour shift pattern across days, nights and weekends, with a strong emphasis on health and safety and working at height.

Conveyor Networks · Lifts · Cranes

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Senior technical owner for a portfolio of public sector customers, shaping AI strategy from pre-sales discovery through production adoption. Owns the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex and agentic solutions, designing architectures covering models, data, integration, security and governance while coordinating specialists across deployment, product and partners.

ChatGPT Enterprise · OpenAI API · Codex +1

• Edinburgh
• Permanent

Designs and implements machine learning models for recommendation systems used by job seekers and recruiters at global scale, with a focus on fairness and explainability. Works across the full software development lifecycle, from scoping and coding to A/B test analysis and deployment, alongside engineers, scientists and product managers. Also reviews scientific work and keeps current with the literature to develop novel approaches to hiring problems.

• Solihull
• £45,000 – £62,000 pa
• Permanent

Research and develop AI/ML approaches for power electronics, designing, modelling and simulating converter systems (AC/DC, DC/DC, DC/AC) using tools such as MATLAB, PLECS or Ansys. The role sits at the intersection of power electronics and artificial intelligence, translating academic research into practical engineering applications across electric vehicles, rail and renewable energy.

MATLAB · PLECS · Ansys

• London
• Mid-level
• Permanent

Applies causal inference, structural demand modelling and econometrics to measure how Prime Video investments and marketing initiatives drive engagement and business value. Works as an individual contributor across long-term research and tactical analytics, designing experiments and presenting findings to business leaders and the science community.

• London
• Hybrid
• Senior
• Permanent

Builds and maintains core C++/Python components that interface self-driving models with vehicle and embedded systems, plus infrastructure to run and test autonomy capabilities. Owns reliability and performance of Linux-based systems and specialises in one domain such as localisation/mapping, filtering/diagnostics or control/inference, in a team scaling to 5-6 engineers.

Linux

• London
• On-site
• £90,000 – £120,000 pa
• Senior
• Permanent

Design and build full-stack AI-powered product features spanning front-end, back-end, AI and infrastructure, including LLM, computer vision and agent-based systems. You will create evaluation, testing, prompt engineering and fine-tuning frameworks, working across DevOps and MLOps with Product and Engineering teams on financial crime compliance tooling.

TypeScript · React · Node.js +1

• United Kingdom
• Remote
• Senior
• Permanent

As a Senior Quantum Algorithm Researcher, you will lead technical collaborations with supercomputing centers and industry partners to develop hybrid quantum-classical applications. Your role involves driving research in AI for quantum algorithms, contributing to strategic projects, and publishing impactful research while representing NVIDIA at conferences.

NVIDIA Quantum · cuQuantum · CUDA-Q +1

• Brentford
• Hybrid
• £75,000 – £100,000 pa
• Mid-level
• Permanent

Develop an engineering-grade spiking neural network engine for machine vision applications in defence and security contexts. Translate advanced research into robust production software using C++ and machine vision techniques. Collaborate with researchers and engineers on SNNs, CNNs, and Transformers, with integration into operational systems.

• Bristol
• On-site
• £54,000 – £58,000 pa
• Mid-level

Develops and evaluates image processing, computer vision and deep learning algorithms for imaging sensor systems, covering segmentation, noise removal, tracking, pose estimation and classification. Works on-site in Bristol within a cross-functional team, supporting research into emerging AI/ML technologies and integrating algorithms into larger operational systems.

Python · C++ · SAR +3