Latest Data Scientist Jobs

Platform Engineer

Design and deploy secure, scalable cloud infrastructure for AI and machine learning workflows using AWS and Azure. Enable data scientists and ML engineers through infrastructure-as-code, reusable libraries, and best practices. Work cross-functionally to solve complex technical challenges in life sciences and other sectors.

Faculty London, United Kingdom

Hybrid Permanent

Research Scientist (Machine Learning), London

A Research Scientist in machine learning will develop novel deep learning models and algorithms to accelerate drug discovery, working in an interdisciplinary team of scientists and engineers. The role involves designing architectures, training models, and applying ML to complex biological and chemical problems, with opportunities to lead projects and mentor others depending on experience.

Isomorphic Labs London, United Kingdom

Hybrid Permanent

Applied Scientist - All Levels

Conduct foundational research to develop AI-driven physical simulation models for engineering and manufacturing applications. Translate complex physics and engineering problems into mathematical formulations, build and iterate machine learning models—particularly in neural operators, geometric deep learning, or generative modeling—and collaborate closely with engineers and customers to deliver real-world impact across advanced industries.

PhysicsX United Kingdom

Hybrid Permanent

Scientist, Model Systems

This role involves developing and optimizing cellular and biochemical assays using primary and immortalized cell lines, with a focus on fibrotic disease models. The scientist will conduct large-scale perturbation screens, apply multimodal readouts including transcriptomics and proteomics, and collaborate closely with cross-functional teams in biology, machine learning, and automation. Responsibilities include assay development, data analysis, and supporting the translation of workflows into high-throughput automated systems within a TechBio environment.

Relation Therapeutics London, United Kingdom

On-site Permanent

Research Leader / Senior Scientist (Medicinal Drug Design), Cambridge, MA

Lead or contribute to drug discovery projects by integrating medicinal chemistry expertise with AI-driven platforms. Collaborate closely with machine learning teams to refine predictive models and drive programs from hit identification to candidate selection. Play a key role in shaping next-generation drug design through innovation in structure-based and fragment-based approaches, while mentoring teams and managing external research partners.

Isomorphic Labs Cambridge, United Kingdom

Hybrid Permanent

Senior AI Engineer

Design and implement end-to-end AI/ML systems using generative AI, LLMs, and agentic frameworks to extract insights from biomedical literature and data. Focus on production-grade reliability, model quality, and collaboration with product and engineering teams to deliver user-facing features. Mentor junior engineers and contribute to a culture of technical excellence and knowledge sharing.

Causaly London, United Kingdom

Hybrid Permanent

Senior Specialist Solutions Engineer (AI/ML)

This role involves leading the design of production-grade machine learning and GenAI solutions on the Databricks platform, with a focus on MLOps, RAG architectures, and LLM deployment. The engineer will act as a technical advisor during sales cycles, build MVPs, and support customers in implementing AI workflows. Responsibilities also include creating technical content, mentoring teams, and driving platform adoption through thought leadership and community engagement.

Databricks London, United Kingdom

On-site Permanent

Senior Applied Engineer

Develop and scale AI-driven physical foundation models for engineering simulation, bridging research and production. Translate scientific prototypes into robust, distributed ML systems using high-performance computing and cloud infrastructure. Collaborate closely with researchers, engineers, and customers to solve real-world physics and engineering challenges.

PhysicsX United Kingdom

Hybrid Permanent

Associate Director, Platform Engineering

Lead and develop the platform engineering team responsible for hybrid infrastructure, Kubernetes-based clusters, and scientific compute environments that support machine learning and drug discovery workflows. Define platform strategy, ensure robust CI/CD, observability, and security, and act as a technical leader across engineering and data science. The role involves shaping a developer platform tailored to computational scientists and genomic data pipelines in a high-impact TechBio environment.

Relation Therapeutics London, United Kingdom

Permanent

Lead Machine Learning Engineer

This role involves leading a team of ML engineers while maintaining hands-on technical contributions to production-grade machine learning systems. The engineer will shape ML best practices, guide solution design, mentor junior staff, and lead cross-functional teams through the full lifecycle of AI/ML projects—from discovery to deployment and continuous improvement. A strong emphasis is placed on technical leadership, code quality, and clear communication with non-technical stakeholders.

Aioi Nissay Dowa Europe Oxford, Oxfordshire, United Kingdom £81,322 – £112,488 pa

Hybrid Permanent

Software Developer - Biology

This role involves developing scalable software systems to support virtual drug discovery, focusing on integrating bio foundation models into production workflows. The developer will build and optimize pipelines for biological data processing, create tools for data visualization and quality control, and collaborate with ML scientists and engineers. The position sits at the intersection of computational biology and software engineering within a high-growth startup environment.

Helical London, United Kingdom

Hybrid Permanent

Senior Software Engineer

This role involves developing a scalable neurosymbolic AI platform, focusing on core systems like document ingestion, symbolic reasoning engines, and public API infrastructure. The engineer will solve novel problems at the intersection of LLMs and classical AI, such as encoding regulatory rules and improving system accuracy through feedback loops. Work spans backend development, cloud deployment, and cross-functional collaboration in a high-growth startup environment.

Unlikely AI London, United Kingdom

Hybrid Permanent

Staff Software Engineer

This role involves designing and building a scalable neurosymbolic AI platform that combines LLMs with symbolic reasoning for enterprise applications in compliance and financial services. You'll work on core systems including document ingestion, knowledge representation, and public API architecture, within a cross-functional monorepo environment. The role emphasizes technical leadership, production-quality engineering, and solving novel problems at the intersection of classical AI and modern generative models.

Unlikely AI London, United Kingdom

Hybrid Permanent

Member of Technical Staff

This role involves developing and prototyping generative machine learning models for protein design, with a strong focus on real-world biological applications. You'll work closely with biologists and engineers to build scalable data pipelines, optimize model performance, and iterate based on wet lab feedback. The position emphasizes research excellence, production-grade code, and rapid experimentation in a cross-disciplinary environment.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Forward Deployed AI Engineer

This role involves deploying and integrating generative AI models into pharmaceutical and biotech customers' scientific workflows. The engineer will design production-grade API integrations, data pipelines, and model-serving infrastructure while working on-site to troubleshoot and deliver solutions. The position emphasizes customer collaboration, enterprise-grade deployment standards, and translating real-world feedback into product improvements.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent