Machine Learning Jobs

• Stirling
• Senior · manages people

Designs, builds and optimises scalable data pipelines in Azure Databricks, Spark and Python to support actuarial modelling and assumption setting. Applies machine learning and advanced analytics where they add measurable value, drives process reengineering and embeds audit and risk controls. Also guides and reviews the work of junior team members and shapes data standards and best practice.

Azure Databricks · Spark · PySpark +1

• London
• Mid-level

Day-to-day responsibility for requesting data, monitoring and enhancing Key Risk Indicators and Management Information (MI) for first-line financial crime risk. Builds and maintains MI dashboards, automated data pipelines and analytical tooling using Python, SQL, Power BI or Tableau, and partners with 2LOD and Data Engineering to improve data quality and governance. Distinct for its strategic ownership of the financial crime data and analytics roadmap within an asset management and insurance group.

Power BI · Tableau · AWS +2

• London
• Hybrid
• Senior
• Permanent

Owns embedded software that connects an autonomous driving AI to vehicle platforms, building integration and adaptation layers across hardware. Works on inference integration, vehicle data, navigation, localisation and motion control interfaces, taking features from design through HIL and vehicle testing. Requires strong modern C++ and Linux/QNX experience on Nvidia and Qualcomm platforms.

Nvidia · Qualcomm · Linux +3

• London
• Hybrid
• Lead
• Permanent

Lead an ambitious research agenda at the intersection of LLMs, VLMs, VLAs and embodied AI, exploring how world knowledge, memory and reasoning can drive better physical-world decisions. Stay hands-on developing architectures, training and post-training large-scale models, while mentoring researchers and shaping the team's technical direction across London and Sunnyvale.

PyTorch

• London
• Hybrid · 3 days in office
• Senior

Join the Computational Sciences team to design novel large-molecule therapeutics using a cutting-edge AI drug design engine. You will develop computational and machine learning methods to predict biologics properties from sequence, benchmark models, and analyse lab data to guide early discovery through candidate selection.

AlphaFold

• Cambridge, United States
• Hybrid · 3 days in office
• Lead

Lead DMPK strategy across drug discovery projects, designing screening cascades and mechanistic experiments while integrating PK, PD and toxicology data for dose and safety predictions. Work with AI/ML platform teams to optimise ADME models and author regulatory DMPK sections, in a hybrid Cambridge, MA role.

Python · R

• Cambridge
• On-site
• Mid-level
• Permanent

Joins a research team advancing multimodal deep learning for consumer devices, focusing on dataset curation, annotation pipelines and automated evaluation methods such as fine-tuned LLM-as-judge. Analyses large offline and online datasets in Python to diagnose model failures and works with training, compiler and product teams to move models from prototype to production.

Python · LLM

• Cranfield
• £21,805 pa
• Entry level
• Contract

A PhD studentship researching AI-on-RAN, optimising distributed and mobile inference of large language models by adapting token, memory and bandwidth use in real time. The work sits across AI and telecoms, with training alongside other PhD students in the EPSRC Future Telecommunications Hubs network and exposure to defence, government and infrastructure stakeholders.

AI-on-RAN · 6G

• 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

• Nottingham
• 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, mentor junior team members and drive prototypes through to production in close collaboration with business stakeholders.

PyTorch · TensorFlow · Hugging Face Transformers +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

• Switzerland
• Remote
• Senior

Develops performance optimizations in deep learning frameworks using JAX, contributing to JAX core components and driving peak performance on NVIDIA hardware. Works with AI researchers to build future-proof models and tooling that bridges numerical computing, simulation and deep learning research. Requires C/C++ and Python skills plus deep knowledge of ML framework internals and CPU/GPU architectures.

JAX · PyTorch · TensorFlow +4

• United Kingdom
• Remote
• Senior

Develops performance optimizations in deep learning frameworks using JAX, contributing to JAX core components and driving peak performance on NVIDIA hardware. Works with AI researchers to build future-proof models and tooling that bridges numerical computing, simulation and deep learning research. Requires C/C++, Python and machine learning framework internals expertise.

JAX · PyTorch · TensorFlow +4

• London
• Hybrid
• £150,000 – £190,000 pa
• Senior

Pre-sales architect role building technical relationships with Global and Regional System Integrators and cloud partners (AWS, GCP) to accelerate indirect revenue and enable partners' AI practices. Involves joint solution development, reference architectures, unblocking strategic customer deals, and representing the company at partner events and hackathons.

AWS · GCP

• London
• Hybrid · 1 day in office
• £260,000 – £630,000 pa
• Mid-level

Blends research and engineering to advance reinforcement learning for large language models, building agentic capabilities like computer use and autonomous code generation. Involves architecting distributed RL training infrastructure across GPU clusters, designing novel training environments and evaluations, and profiling and optimizing the stack. Works closely with alignment, red team, and production training groups, with a strong pair-programming culture.

PyTorch · TensorFlow · JAX +3