Machine Learning Jobs

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Staff Software Engineer - Backend

This role involves building and improving large-scale distributed systems for Databricks' Lakehouse Platform, focusing on backend services that enable secure, high-performance data storage and access across cloud infrastructures. You'll work on reliability, scalability, and developer experience, tackling challenges from infrastructure to product features. As a founding team member in London, you'll help shape the future of a unified data and AI platform.

Databricks London, United Kingdom
On-site Permanent

Senior Forward Deployed Engineer

Lead the design and deployment of scalable, production-grade machine learning systems for high-impact clients in national security and AI safety. Collaborate across engineering, data science, and commercial teams to operationalise AI solutions, while mentoring junior engineers and shaping technical standards. Work on-site with government clients and contribute to ethical, secure AI practices in a cross-functional, client-facing role.

Faculty London, United Kingdom
Permanent

Research Scientist

Conducts original research in AI safety, focusing on interpretability and behavioral analysis of transformer-based large language models. Designs and runs experiments, develops reproducible research tooling in Python/PyTorch, and translates technical findings for government, frontier labs, and national security partners. Publishes results in academic papers and technical reports while collaborating with senior scientists to shape emerging AI safety standards.

Faculty London, United Kingdom
Permanent
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Forward Deployed Engineer - Emerging Enterprise & DNB

Design and implement data engineering and AI solutions on the Databricks platform for fast-moving enterprise clients. Deliver production use cases, provide technical leadership, and support migration from legacy systems. Collaborate with cross-functional teams to ensure successful deployment and gather product feedback.

Databricks London, United Kingdom
Hybrid Permanent
W

Senior Software Engineer, Data & Orchestration

Design and build scalable data pipeline and orchestration infrastructure to support high-volume data ingestion, processing, and inference workflows for autonomous driving systems. Develop and revamp internal platforms like the Harness system and a new DAG-based orchestration framework. Collaborate with cross-functional teams to ensure reliable, efficient, and developer-friendly data infrastructure at scale.

Wayve London, United Kingdom
W

Release Manager — AI Models

This role involves managing the end-to-end lifecycle of AI models for autonomous driving systems, from training and evaluation to on-road testing and fleet-wide deployment. The Release Manager ensures reliable, timely releases by establishing gating criteria, resolving regressions, and improving processes across ML and engineering teams. It combines technical rigor with adaptability in a fast-moving, research-informed environment where model performance is probabilistic and integration spans complex software and vehicle platforms.

Wayve London, United Kingdom
Hybrid Permanent

Research Engineer, RL Scaling Science

This role involves designing and running large-scale reinforcement learning experiments to understand scaling effects across model size, compute, and task horizon. The engineer will build benchmarks for long-horizon RL, debug system-level issues at the research-infrastructure boundary, and translate validated findings into production training recipes. Work is highly collaborative with research and engineering teams, focusing on empirical science to advance steerable and safe AI systems.

Anthropic London, United Kingdom £375,000 – £640,000 pa
Hybrid Permanent

Staff Software Engineer, Infrastructure (Distributed Systems)

Lead and architect large-scale distributed systems that support AI model training, serving, and security. Work closely with research and product teams to build reliable, scalable infrastructure on Kubernetes and cloud platforms. Drive technical strategy, mentor engineers, and improve operational resilience across high-impact systems.

Anthropic London, United Kingdom £325,000 – £390,000 pa

Data Scientist – Computational Genomics, 12-month

This role involves applying and developing machine learning and statistical models to analyse multi-omics and genomics datasets, with a focus on target identification and validation in drug discovery. The Data Scientist will work at the intersection of genetics, machine learning, and functional biology, integrating large-scale human genetics and single-cell data to uncover disease mechanisms. Collaboration with experimental and computational teams is central, with an emphasis on scalable workflows, hypothesis validation, and scientific communication.

Relation Therapeutics London, United Kingdom
On-site Permanent

Data Scientist

This role involves identifying and defining new data product opportunities, evaluating emerging AI technologies, and leading rapid prototyping and proof-of-concept development. The Data Scientist will work closely with Product Managers and Data Analysts to translate business and customer needs into technical product requirements, ensuring that new products are scalable and commercially viable.

Sagacity London, United Kingdom
On-site Permanent

Senior Data Scientist (Imaging)

This role involves developing generative and predictive models of cellular behaviour using high-content imaging data such as cell painting and brightfield assays. The Senior Data Scientist will curate imaging datasets, design evaluation frameworks to distinguish biological signal from artefact, interpret foundation model outputs, and collaborate closely with wet lab teams to ensure data quality and analytical tractability. The position is embedded in a multidisciplinary environment integrating machine learning, single-cell multi-omics, and functional assays to advance drug discovery.

Relation Therapeutics London, United Kingdom
On-site Permanent

Insights Enablement Lead

The role involves transforming bespoke insight projects into scalable, repeatable solutions by designing frameworks, embedding automation and AI-driven workflows, and establishing delivery standards. It focuses on improving efficiency across client projects through reusable templates, cross-functional collaboration, and a strong emphasis on insight-led, visually compelling outputs. The position also champions innovation in delivery methods and maintains a central repository to promote best practices across teams.

dunnhumby London, United Kingdom
Hybrid Permanent

Machine Learning Scientist

Develop novel machine learning methods for molecular and protein discovery, bridging cutting-edge research with practical engineering implementation. Work on geometric deep learning, diffusion models, and 3D representations in biological systems, translating scientific ideas into deployable tools. Collaborate closely with engineers and scientists in a hybrid London-based role focused on high-impact AI for life sciences.

Platform Recruitment London, United Kingdom £85,000 – £100,000 pa

Data Scientist

This role involves leading the development of data science initiatives from the ground up, with a focus on building predictive models for customer churn and complaint propensity. The Data Scientist will own the full lifecycle of model development, from design to production, and establish scalable, repeatable methodologies. The position offers autonomy in shaping the function within a subscription-based service business.

Gleeson Recruitment Group London, United Kingdom

Data Scientist

This role involves developing and deploying machine learning models to address business challenges, using Python and SQL to analyse large datasets and extract actionable insights. The Data Scientist will work closely with both technical and business stakeholders in a client-facing capacity, requiring strong communication skills. The position focuses on data cleaning, model evaluation, and delivering data-driven solutions within a consulting environment.

Alexander Mann Solutions - Contingency London, United Kingdom