Machine Learning Jobs

• London
• Hybrid · 3 days in office
• Mid-level

Join the model performance and scaling team to implement and optimize LLM post-training methods on frontier models, working with research teams to turn new methods into production systems. The role focuses on distributed training and inference performance, low-precision methods, and frameworks like JAX or PyTorch, in a hybrid London setting.

JAX · PyTorch · NCCL +5

• London
• Hybrid · 3 days in office
• Mid-level

Own, secure and scale a suite of self-hosted, multi-user vendor applications across cloud environments. Day to day you build Kubernetes deployment pipelines, maintain Terraform IaC, run container and dependency security scanning, remediate CVEs, and configure SSO/RBAC via SAML 2.0 and OIDC, bridging integration, operations and security.

Kubernetes · GitHub Actions · GitLab CI +7

• Liverpool
• Hybrid · 1 day in office
• £65,000 – £70,000 pa
• Senior

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.

Power BI · Snowflake · SQL

• London
• Remote
• £80,000 – £100,000 pa
• Mid-level

Builds and validates risk pricing models using statistical and machine learning techniques in Python, covering customer segmentation, conversion modelling and pricing analytics. Supports development of a proprietary pricing and rating platform, working closely with technical, commercial and underwriting stakeholders in a small team with senior exposure.

Python

• Derby
• Hybrid · 3 days in office
• Lead
• Permanent

Leads 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. Sets technical direction, manages projects, communicates with stakeholders and mentors junior team members, working hybrid from the Nottingham office three days a week.

PyTorch · TensorFlow · Hugging Face Transformers +2

• Lincoln
• Hybrid · 3 days in office
• Lead
• Permanent

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. The role combines technical direction-setting, stakeholder collaboration and mentoring junior team members, taking ideas from prototype through to production.

PyTorch · TensorFlow · Hugging Face Transformers +1

• Sofia, Bulgaria
• Hybrid
• Senior

Maintains and improves a live customer-facing slot-availability application while writing Terraform/OpenTofu infrastructure as code for cloud environments. Extends backend services, APIs and data pipelines, and modernises the platform by tuning Airflow/Composer and reducing technical debt. Works in a small distributed team with monitoring, alerting and incident response duties.

Python · TypeScript · Terraform +7

• Bradford
• £30,000 – £50,000 pa
• Entry level

A training and placement programme for entry-level candidates with little or no data experience, combining self-paced online courses in Excel, SQL, Python and Tableau with CompTIA Data+ and BCS Business Analysis Foundation qualifications. After qualifying, a recruitment support team assists with CV review, applications, mock interviews and securing a first data analyst role, with an optional advanced CompTIA Data X stage.

Microsoft Excel · SQL · Python +4

• London
• Hybrid
• Senior

Delivers machine learning models and analytical insights for Tesco UK Suppliers, working with transactional, shopper and clickstream data. Partners with Client Leadership teams to scope client needs and build scalable, reusable solutions across personalisation, pricing and promotions. Requires Python, SQL and statistical modelling, with PySpark advantageous.

Python · SQL · PySpark +1

• United Kingdom
• Remote
• Mid-level
• Permanent

Owns the data infrastructure behind frontier AI models, building large-scale pipelines for collecting, filtering and transforming training datasets. Also trains classifiers, quality filters and labeling models, and designs curation strategies like deduplication and quality scoring. Fully remote, with tooling work letting researchers explore and train on massive datasets.

Kubernetes

• Didcot
• On-site
• £45,000 – £65,000 pa
• Mid-level
• Permanent

Develops predictive models and chemometric capabilities that turn spectroscopy and industrial process data into practical recommendations for manufacturers. Works hands-on with Python, machine learning and statistics alongside chemometricians, software developers and customer engineering teams, with occasional international travel. Combines technical experimentation with customer collaboration to shape the IRis platform.

Azure · IRmadillo · IRis

• London
• Hybrid
• Permanent

Builds ground-truth datasets and computer vision classifiers that describe complex driving scenes, spanning road geometry, spatial relationships, road users and driving behaviour. Works with internal customers to define annotation tasks and acceptance criteria, curates datasets, and integrates classifiers with enrichment infrastructure for corpus analysis and scenario mining.

PyTorch · SQL

• London
• Hybrid
• Senior
• Permanent

Builds and evolves the data pipeline and orchestration platform behind Wayve's autonomous driving data, revamping the existing Harness system and creating a new DAG-based workflow platform. Works on Kubernetes-deployed, distributed infrastructure handling hundreds of parallel pipeline steps, batch inference and evaluation workflows, closely with partner teams.

Harness · Airflow · Dagster +7

• London
• Remote
• Permanent

Designs and oversees data collection tasks with human annotators, applies statistical methods to assess dataset quality, and analyses the robustness and generalisability of large language models. Involves training and fine-tuning LLMs on distributed infrastructure and running experiments with researchers, engineers and annotators to improve model performance.

PyTorch · TensorFlow · JAX

• London
• Remote
• Permanent

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.

Apache Spark · Apache Beam · Pandas