Machine Learning Jobs

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.

ARM · Manchester

The OpportunityA leading financial consultancy is seeking a Data Analyst to join a high-profile finance data programme. This role is ideal for someone with strong SQL expertise and a solid understanding of financial services data who enjoys investigating complex datasets,...

Ocado · United States

Hunter-style enterprise sales role carrying a quota and driving growth across US and Canadian retail, e-commerce and 3PL markets, closing deals typically worth $1M–$5M over 6–18 month cycles. Works with solutions, deployment and customer success teams, selling Ocado IQ software and AMR robotics to C-suite and operations leaders, with 40–60% travel.

Faculty · London

Lead technical direction on complex, business-critical AI projects for the Life Sciences team, partnering with pharma, academic and regulatory clients. Combines hands-on machine learning expertise with project roadmapping, technical risk management and mentoring of cross-functional data science teams.

NES Group Ltd · London

Leads customer intelligence and value measurement across multiple markets, building CLV, RFM segmentation and incrementality models. Reconciles customer, transaction and margin data into defensible value estimates, partnering with Finance on reproducible methodologies. Delivers scalable pipelines using Databricks, Spark/PySpark and Python, with strong data validation and audit practices.

Wayve · London

Own the end-to-end architecture and technical roadmap for Remote Assistance, the real-time bridge between Wayve's AI Driver and human operators, spanning onboard vehicle integration, offboard services and operator HMI. Define the vehicle–operator contract, fallback/MRM behaviour and latency budgets, and drive cross-org execution across autonomy, safety, platform and product teams feeding into the L4 safety case.

ElevenLabs · United Kingdom

First dedicated analytics partner to the Finance function within a central Data team, owning revenue and ARR reconciliation, cohort and retention economics, and pricing experiments. Builds forecasting and scenario models used directly by FP&A for planning and board reporting, working with SQL, Python, Stripe, Salesforce and a dbt-modelled warehouse.

Amazon · London

Hands-on analysis and modelling of large multimodal datasets to measure and improve Rufus, Amazon's conversational shopping assistant. Designs and analyses A/B tests, builds predictive models and metrics dashboards, and works with NLP, information retrieval and recommender systems alongside scientists and engineers in a London team of around 150.

Amazon · London

PhD students join an Amazon Science team to own an end-to-end research project, from scoping with a mentor to deploying algorithms, models or systems into production. Projects span computer vision for Prime Video quality, multimodal AI for Rufus, automated reasoning and formal verification, observability for distributed systems, and recommendation models. Interns may publish at top-tier conferences or see their work ship before the internship ends.

Amazon · London

Hands-on data science role focused on Alexa for Shopping, building and measuring multimodal conversational systems powered by large language models, information retrieval, recommender systems and knowledge graphs. Day to day involves analysing huge multimodal datasets, designing and analysing A/B tests, building predictive models and metrics dashboards, and working with applied scientists and engineers to move insights into production.

Wayve · London

Lead a team of ML engineers and applied scientists building synthetic data from generative world models like GAIA-3, turning them into a production engine for training-grade driving data. Own the pipeline end to end, from checkpoint and large-scale GPU inference to artefacts landing in driving-model training, while setting technical direction on rig transfer, pose transfer and controllability.

Harnham - Data and Analytics Recruitment · Liverpool · £65,000 – £70,000 pa

Number two in a Business Intelligence function, leading multidisciplinary teams across Insight, Data Science, Machine Learning, Governance and Labour Market Intelligence. The role is strategic rather than hands-on: shaping analytics strategy, embedding data governance and quality frameworks, sponsoring AI and advanced analytics, and advising Executive and Board audiences.

Harnham - Data and Analytics Recruitment · London · £60,000 – £80,000 pa

Independently validate and challenge credit risk, machine learning and decisioning models across the lending lifecycle, covering methodology, data quality, calibration, stability and monitoring frameworks. Work closely with Data Science, Risk and Analytics teams to define validation standards and controls, with exposure to automated underwriting and modern fintech credit risk practices.

Rise Technical Recruitment · London · £130,000 – £180,000 pa

Lead the entire AI research strategy for a financial crime intelligence business, building and managing a team of researchers and ML engineers while staying hands-on. Drive LLM fine-tuning, agentic systems, vision models, evaluation frameworks and explainability standards for highly regulated AML, compliance and fraud detection use cases, taking research from concept to production.

Harnham - Data and Analytics Recruitment · London · £110,000 – £120,000 pa

Own the fraud strategy for a technology-led financial services business, blending strategic leadership with hands-on data science. Build and deploy AI-driven fraud identification, including classifiers, anomaly detection, document intelligence and network analysis, and run fraud models in production with CI/CD, monitoring and governance. Partner with Product, Engineering, Credit and Operations to embed controls.