Machine Learning Jobs

• London
• Remote
• Director

Owns the EMEA go-to-market strategy for the Banking/Payments, Capital Markets and Insurance verticals, building growth execution plans and C-level customer and partner relationships. Works cross-functionally with sales, pre-sales, marketing and enablement to create scalable, regionally tailored sales plays, and acts as an industry thought leader through white papers and event keynotes. Requires travel for conferences and customer meetings.

Databricks · Data + AI Platform · Genie +5

• United Kingdom
• Remote
• Senior

Owns and grows Databricks' public sector business across the Republic of Ireland and Scotland, inheriting an established book of strategic government accounts. Runs a consumption-led sales motion, building go-to-market plans, expanding platform usage, and co-selling with AWS, Azure and Google Cloud. Requires security clearance eligibility and deep knowledge of Irish Government procurement.

Databricks Intelligence Platform · AWS · Microsoft Azure +7

• Oxford
• On-site
• £39,424 – £47,779 pa
• Entry level
• Contract

Develops novel statistical and machine learning methods for large-scale genomic, phenotypic and health data, covering areas such as genomic language models, multimodal and federated learning, and multi-ancestry methods. The role involves building scalable, reproducible research software, applying it to biobank-scale datasets, publishing findings and guiding junior researchers within the Palamara Group.

• London
• Senior
• Permanent

You will act as the technical partner for NHS trusts, national health bodies and Health Tech ISVs, designing cloud architectures for clinical, operational and data challenges at national scale. The role spans discovery workshops, architecture reviews and proof-of-concept builds across AI/ML, analytics, FHIR interoperability and IoT, working alongside Account Managers and senior NHS stakeholders.

AWS · FHIR

• London
• Remote
• £60,000 – £85,000 pa
• Permanent

Lead end-to-end technology procurement and sourcing for Central Government, Defence and National Security programmes, developing commercial strategies and running competitive tenders and supplier evaluations. Provide commercial expertise across cloud, cyber, data and AI procurements, managing supplier relationships and governance, assurance and approval activities with senior stakeholders.

Cloud · Cyber · Data +3

• London
• Hybrid
• Senior
• Permanent

This role involves partnering with the research team to develop and refine intraday and systematic trading strategies using statistical arbitrage. You will analyze large-scale market data, build predictive models, and collaborate with technology teams to integrate these models into advanced trading infrastructure. The position is ideal for those who want to be involved in all aspects of the research, trading, and coding process in a collaborative start-up environment.

• London
• On-site
• Entry level
• Permanent

This role involves researching and optimizing high-frequency trading strategies using advanced technology. You will work closely with experienced quant strategists, developing systems in C++ or Java, analyzing data, and contributing to strategy development as you gain experience.

• 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

• London
• Hybrid · 3 days in office
• Lead

Owns the safety assessment strategy for drug discovery projects from inception to regulatory submission, working with small molecule and biologics platforms. Designs screening cascades, authors and defends regulatory toxicology sections, and manages CRO relationships for outsourced wet-lab work. Also guides development of an AI predictive toxicology platform with ML researchers.

AI/ML

• 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, United States
• Hybrid · 3 days in office
• Senior · manages people

Lead computational drug design programs from hit identification through to candidate nomination, applying AI-first approaches and shaping the ML drug design engine alongside ML scientists. Roles span Program Lead or Computational Chemistry Lead, with some positions managing 2-3 computational chemists. Hybrid working in Cambridge, MA, three days a week in office.

REINVENT

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

Lead the safety assessment strategy for small molecule and biologic drug discovery projects from inception to regulatory submission, designing screening cascades and mechanistic experiments. Partner with machine learning researchers to build predictive toxicology models and manage external CROs for all wet-lab data generation, while mentoring junior scientists.

KNIME · Python

• London
• Hybrid · 3 days in office
• Lead

Drive DMPK strategy across drug discovery projects, designing screening cascades and mechanistic experiments with an AI-first approach. Integrate DMPK, PD and toxicology data to predict human dose and safety windows, and author regulatory documents. Work closely with Chemistry, Pharmacology and AI/ML platform teams on multiple modalities including biologics and peptides.

R · Python · KNIME

• London
• Hybrid · 3 days in office
• Senior · manages people

Lead computational chemistry strategy across drug discovery programs, applying AI-first approaches to hit finding, molecular design and lead optimisation. Work with ML scientists to embed generative models into cheminformatics workflows, with some roles managing 2-3 computational chemists.

REINVENT · AlphaFold · Large Language Models