Machine Learning Jobs

• Cambridge, United States
• Hybrid · 3 days in office
• Mid-level

First Technical Program Manager hire for the Drug Design and Medical Research function, supporting small molecule drug discovery programs in Cambridge, MA while integrating with the London office. Responsibilities span program planning, timeline monitoring, risk reporting, budget forecasting and spend tracking, CRO and external partner liaison, and embedding operational processes across teams.

Jira · Confluence

• London
• Hybrid · 3 days in office
• Lead

Lead medicinal chemistry strategy across drug discovery programmes, from hit identification through lead optimisation to candidate nomination, while working hands-on as an individual contributor. Partner closely with AI/ML platform teams to shape predictive models, manage CRO resources and represent the company externally.

AlphaFold

• Cambridge
• Hybrid
• Mid-level

Design and build LLM-agentic workflows that reason over knowledge graphs, proprietary methods and scientific literature to generate and triage therapeutic hypotheses for rare diseases. Works closely with drug discovery scientists in a cross-functional team, using Python, ADK and AgentSpace, with scope to own workflows end to end.

Python · ADK · AgentSpace

• London
• On-site
• Entry level
• Permanent

Contributes to the design and execution of cellular and biochemical assays, including arrayed CRISPR perturbation screens, cell culture of primary and immortalised lines, and phenotypic readouts such as flow cytometry, RT-qPCR and ELISA. Also handles data analysis, sample tracking, QC, reagent stocks and lab upkeep, working closely with Discovery and computational colleagues in a matrixed TechBio setting.

CRISPR · Flow Cytometry · RT-qPCR +3

• London
• On-site
• Senior
• Permanent

Develop and benchmark machine learning models for DNA sequence, regulatory elements and genetic variation, including variant effect prediction and representation learning. Integrate sequence-derived representations with transcriptomic, epigenomic and perturbational data to uncover disease mechanisms and support target prioritisation, working within the interdisciplinary Rosalind team.

DNA Language Models · Genomic Foundation Models · Transformer +2

• Royston
• On-site
• Entry level
• Permanent

Graduate consultants join multi-disciplinary teams to invent new products and technologies, covering invention, analysis, prototype design and transfer to manufacture across areas like drug delivery, AI-driven discovery and 5G antennas. Alongside technical work, they engage directly with clients, build market understanding and take on project leadership as they gain experience.

5G NTN

• London
• Hybrid
• Mid-level
• Permanent

Serve as the technical bridge between frontier generative biology models and pharmaceutical/biotech customers, owning end-to-end deployment, API integration and model-serving infrastructure. Work embedded on-site with partners, translating scientific requirements into production-grade systems while feeding customer insights back to product and research teams.

AWS · GCP · Azure +2

• London
• Hybrid
• £130,000 pa
• Senior

Client-facing consulting role within a global technology consultancy's Data & AI practice, serving pharmaceutical and Life Sciences organisations. Combines hands-on Data Science and AI delivery with strategy, stakeholder engagement and pre-sales, using Python, SQL and modern Data & AI platforms including GenAI. Focus on commercial applications such as sales, marketing and customer analytics.

Python · SQL

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

Builds next-generation machine learning models to predict genetic interactions from large-scale perturb-seq data, evaluating graph neural networks and autoencoders for genome-wide scalability and cross-cancer generalisation. Works in a lab-in-the-loop cycle with AstraZeneca and Cancer Research Horizons FGC, who generate pancreatic cancer perturb-seq data to fine-tune the computational models. Purely computational, with high performance computing and industry-aligned experience.

Perturb-seq · DepMap · Project Score

• United Kingdom
• On-site
• Mid-level
• Permanent

This role involves driving business development in the drug delivery sector by building strategic relationships with pharmaceutical and biotech clients. The individual will collaborate with technical teams to shape and sell innovative medical device development projects, from concept to production, focusing on inhalers, injectors, and connected delivery systems. The position requires a strong grasp of technical and commercial challenges in global drug delivery markets.

• London
• Senior

Owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse, driving performance innovations like Low Shuffle Merge and Deletion Vectors. Involves low-level systems debugging, performance optimisation on large production clusters, architecture design, and technical leadership including mentoring and sprint planning.

Delta Lake · Databricks · Apache Iceberg +2

• London
• Hybrid · 1 day in office
• £225,000 – £255,000 pa
• Mid-level

Partner-facing role embedding with nonprofits, research institutes and academic medical centres to apply Claude to clinical development for rare and neglected diseases. You'll design and review trial protocols, build tools for drug repurposing from literature, omics and patient data, and create reusable infrastructure like MCP servers and benchmarks.

Claude · MCP

• United Kingdom
• On-site
• Senior
• Permanent

Design and develop cutting-edge mechatronic systems for medical technology applications, focusing on robotics, diagnostics, and drug delivery. Lead hardware design efforts from concept to manufacture, conduct first-principle analyses, and support prototyping and testing. Collaborate across disciplines to solve complex engineering challenges in healthcare innovation.

• Sunbury-on-Thames
• Hybrid
• Senior

Designs, builds and operates scalable cloud data platforms, ELT/ETL pipelines and analytical datasets supporting Finance, with Azure and Databricks/Fabric/Snowflake preferred. Combines strong software engineering (CI/CD, testing, automation) with data modelling, governance and technical leadership, mentoring engineers and working with product, architecture and Finance stakeholders.

Azure · Databricks · Microsoft Fabric +5