Machine Learning Jobs

Cohere · London

Research engineering role on the integration team, building and scaling machine learning algorithms and infrastructure for LLM post-training, with a focus on large-scale distributed RL methods. Day to day involves writing high-performance training software, developing research tooling, and collaborating with infrastructure, efficiency, serving and scientific teams to improve SFT, offline preference and RL training cycles.

NVIDIA · Reading

Engage a small set of strategic software companies to integrate NVIDIA's AI and computing platforms into their products, acting as a trusted technical advisor on agentic AI, open models and GPU-accelerated computing. Provide sample code, SDKs and demo pipelines to accelerate onboarding, while mapping the developer ecosystem and feeding field insights back to product teams. Also represents NVIDIA at industry and developer events.

NVIDIA · United Kingdom

Technical account manager role focused on a small set of strategic software companies, driving adoption of NVIDIA's AI and accelerated computing platform. Involves hands-on work with agentic AI, open models, SDKs, NIMs and blueprints, plus developer advocacy, ecosystem mapping and representing NVIDIA at events.

eFinancialCareers · London

This role involves developing and maintaining data engineering and prediction tools for systematic equities trading. You will work closely with the Senior Portfolio Manager and quantitative research team to build robust data pipelines, validate data integrity, and implement large-scale computational systems.

Anthropic · London · £165,000 – £190,000 pa

You will partner with founders and engineers to architect LLM solutions on the Claude Developer Platform, running technical evaluations and guiding startups from discovery through deployment. The role blends deep AI engineering expertise with customer-facing work, feeding emerging use cases back to Product and Engineering teams.

Cohere · London

Builds and maintains the data pipeline behind Cohere's large language models, running data ablations to assess quality and designing pre-training data mixtures that improve model performance. Combines research and engineering, working with Python, Spark or Beam on web, code and multilingual corpora alongside researchers and engineers.

AECOM · London

Owns the roadmap and delivery of AI products for transportation, working at the intersection of transport engineering, ML/RL, optimisation and software engineering. Leads a small technical team from problem definition to deployed product, translating domain knowledge into requirements and testing capabilities on live infrastructure projects.

Anthropic · London

A four-month, full-time research fellowship working on empirical AI projects in either ML systems/performance or reinforcement learning, using external infrastructure like open-source models and public APIs. Fellows receive direct mentorship from Anthropic researchers and aim to produce a public output such as a paper submission, with projects spanning CPU simulators, accelerator backends, synthetic data pipelines, and RL environments.

Cambridge Consultants · United Kingdom

Lead multidisciplinary teams developing next-generation photonic and optoelectronic systems, setting technical vision and defining architectures from concept through design, integration and validation. Oversee PIC design, simulation, tape-out and test, manage foundry and packaging partners, and shape the Photonics Group's strategy while mentoring talent.

Ocado · London

Builds AI-powered planning systems for global warehouses and last-mile operations, developing machine learning models, optimisation algorithms and operational simulations. Takes high-impact models from prototype to monitored production, sets technical direction and mentors data scientists while working with engineers, product managers and external retail partners.

University of Sheffield · Sheffield · £39,560 – £43,099 pa

Postdoctoral role applying explainable NLP and machine learning to analyse online disinformation narratives, integrate findings into a user-facing verification toolkit, and evaluate commercial chatbots and AI-generated search overviews. Works within the EU-funded ANTIGONE project alongside European partners, with responsibility for leading publications, white papers and stakeholder engagement.

Capital One · Nottingham

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Set technical direction, mentor junior team members and drive prototypes through to production in close collaboration with business stakeholders.

Capital One · Mansfield

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Set technical direction, manage projects, communicate with stakeholders and mentor junior team members, taking ideas from prototype to production in a hybrid Nottingham office.

Amazon · Edinburgh

Builds machine learning recommendation systems that match job seekers to roles and recruiters to talent across Amazon Jobs and internal hiring platforms. Works on representation learning, reinforcement learning and probabilistic modelling at global scale, with a focus on fairness and explainability, alongside engineers, scientists and product managers through the full development lifecycle.

AI Security Institute · London

Lead and contribute to interdisciplinary research programmes on how frontier AI systems influence human decisions, designing large-scale studies, RCTs, model evaluations and benchmarks. Work spans computational social science, AI safety, machine learning and cognitive science, with opportunities to publish and engage policymakers and frontier labs.