Machine Learning Jobs

• London
• Hybrid
• Permanent

Builds Python services and microservices that orchestrate the end-to-end model-release workflow, integrating feature candidates into release branches and automating readiness checks before training. Connects training platforms, simulation and on-road testing, surfacing quality gates and approvals, and productionises services on Azure and Kubernetes with strong observability. Works across Model Engineering, MLOps, Measurement, Evaluation, Simulation and Release Management.

Azure · Kubernetes · React +1

• Remote (UK)
• Remote
• Lead · manages people
• Permanent

Sets technical direction for complex ML projects in the defence sector, designing and maintaining scalable ML/software systems while justifying architectural decisions. Leads hiring, mentoring and shared library development, working 2-4 days per week on client sites with UK travel and the rest remote or from the London office.

Scikit-learn · TensorFlow · PyTorch +5

• London
• Hybrid
• £110,000 – £120,000 pa
• Director

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.

Python · SQL · Git +1

• London
• Hybrid · 1–2 days in office
• £75,000 – £85,000 pa
• Senior

Own the ML Ops function within a growing AI and data organisation, building and maintaining production-grade ML orchestration pipelines with Dagster, Airflow or Prefect. Deploy, monitor and scale ML and LLM-powered services on Kubernetes using Terraform or Bicep, with strong CI/CD and observability practices, working closely with data scientists and client-facing teams.

Dagster · Airflow · Prefect +5

• London
• Hybrid
• Lead · manages people
• Permanent

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.

Python · PyTorch · GPU +1

• United Kingdom
• Remote
• Mid-level
• Permanent

Owns large-scale distributed web crawling systems that discover, fetch and extract data from billions of pages to feed frontier AI models. Work spans content extraction from messy HTML, deduplication at web scale, recrawl and freshness strategies, politeness and rate limiting, plus tooling for researchers to request and explore crawled data.

Kubernetes

• Remote (UK)
• Remote
• Lead · manages people
• Permanent

Leads complex machine learning delivery and strategy for the Defence team, owning a portfolio of work, scoping projects and acting as a technical authority. Writes production-grade Python, builds Generative and agentic AI applications with LLMs, and mentors junior data scientists. Requires UK Security Clearance and 2-4 days per week on client sites.

Metaview

• London
• Remote
• £80,000 – £110,000 pa
• Lead

Owns and shapes a cloud data platform as an initial senior individual contributor, designing scalable AWS-based architectures, ETL/ELT pipelines and analytical datasets. Builds APIs and trusted data products for enterprise clients while supporting machine learning and AI initiatives, with governance, lineage and observability standards. Works with Product, Engineering and Data Science, with scope to build and lead a future data team.

AWS · Power BI · Tableau +2

• Cambridge
• Senior

Acts as the primary technical advisor to university research labs and faculty, embedding NVIDIA's frameworks and software stack into large-scale AI and HPC workloads. Drives joint research projects, delivers hands-on training and workshops, and feeds researcher needs back to engineering. Requires deep LLM lifecycle expertise across multi-node systems and around 30% travel.

NVIDIA AI Enterprise · NeMo Framework · Megatron Bridge +7

• London
• £23,805 pa
• Entry level
• Contract

Develop a framework combining a differentiable reacting flow solver with a machine learning-based controller to anticipate and mitigate extreme events such as flashback and thermoacoustic instabilities in hydrogen and SAF combustion. The role sits within the European CONTEXT project at the intersection of scientific machine learning and fluid dynamics, using high-fidelity simulations and Imperial's HPC facilities.

HPC

• Bristol

Research, develop and evaluate image processing and computer vision algorithms for complex weapon systems, using imaging sensors for situational awareness and precision targeting. Work spans tracking, optical flow, deep learning and computational imaging, built mainly in Matlab/Simulink and Python with PyTorch, within a collaborative department linked to MBDA sites in France and Germany.

MATLAB · Simulink · Python +1

• Mansfield
• 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. Set technical direction, manage projects, communicate with stakeholders and mentor junior team members, taking ideas from prototype to production in a hybrid Nottingham office.

PyTorch · TensorFlow · Hugging Face Transformers +2

• Cambridge
• Remote
• £85,000 – £100,000 pa
• Lead

Hands-on senior role designing and building scalable data platforms, ETL/ELT pipelines and Data-as-a-Service capabilities that power analytics, machine learning and AI products for enterprise clients. Involves setting standards for data quality, governance, lineage and observability, plus secure data services and APIs, with scope to build and lead a wider data function.

AWS

• London
• Remote
• Senior
• Permanent

Build and ship features for North, Cohere's secure AI workspace platform, developing autonomous agents that interact with sensitive enterprise data. Work spans Python and React full-stack code, with stringent deployment constraints that often require reinventing tooling rather than using popular libraries, plus collaboration with researchers to productionize frontier models.

Python · React

• Loughborough
• 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, taking models from prototype through to production in a hybrid Nottingham-based team.

PyTorch · TensorFlow · Hugging Face Transformers +1