Machine Learning Jobs

• 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

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

Lead medicinal chemistry efforts on drug discovery projects, guiding them from initiation to clinical candidate selection as a Project Lead or Medicinal Chemistry Lead. Partner closely with ML scientists to refine AI models, manage CRO resources, and generate IP, with some roles line-managing 2-4 chemists.

AlphaFold

• United Kingdom
• On-site
• Lead
• Permanent

Lead the development of cutting-edge RF systems for applications in satellite and high-altitude platform communications. Drive innovation from concept to delivery by collaborating with clients and internal teams on novel wireless solutions. Mentor engineers and shape technology strategy in a diverse, problem-solving environment.

• United Kingdom
• Hybrid
• Lead · manages people
• Permanent · Flexible

Lead signal processing design and integration project teams, architecting software for high-performance hardware and contributing to multi-domain system design. Work across wireless, telecoms, audio and semiconductor clients, acting as design authority and providing technical leadership while supporting sales campaigns and proposals.

• Cambridge
• On-site
• Senior
• Permanent

Lead security research, architecture and implementation for next-generation networking products, taking a hands-on role in hardware and software security primitives. Work across internal teams and external partners on open-source software, IO interfaces (I2C, I3C, SPI, UART, USB, PCIe), RISC-V, root-of-trust and secure boot architecture.

I2C · I3C · SPI +4

• Bristol
• On-site
• Senior
• Permanent

Lead security research, architecture and implementation for next-generation networking products, taking a hands-on role defining hardware and software security solutions. Work across hardware, software, research and product teams, and with external partners, on IO interfaces, boot architecture, RISC-V and root-of-trust, plus open-source implementation.

I2C · I3C · SPI +3

• London
• Hybrid
• Lead

Sits within the Insight Enablement function of the Tesco Insights team, shaping longer-term enablement strategy and transformation initiatives so client-facing teams can deliver value. Defines enablement propositions and frameworks across products and tools, connects stakeholder needs with business priorities, and champions adoption of AI and emerging technologies.

• London
• Hybrid
• Senior

Joining the Retail Insight team, you will investigate, develop, implement and deploy complex data science applications for Tesco, covering personalisation, basket analysis, pricing, promotions and loyalty. The role blends statistical modelling and machine learning with client-facing delivery, building re-usable, scalable solutions alongside client leadership teams.

PySpark · Git

• Colchester
• Director · manages people

Lead and unify a globally distributed software engineering organisation across the UK, Germany, India and remote teams in Europe and Asia. The role balances customer-specific delivery with strategic product roadmaps, architectural modernisation and the adoption of AI both in engineering processes and in inspection products.

• 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

• London
• Senior

Expert-level technical leader owning the most complex enterprise customer engagements, driving consumption strategy and executive relationships as the definitive technical authority. Leads multi-workload platform architectures, enterprise migrations, real-time systems and AI/ML at scale, while mentoring junior architects and orchestrating cross-functional teams. Requires deep Databricks platform expertise, Python/SQL coding proficiency and a declared technical specialisation.

Databricks · Snowflake · AWS +7

• London
• On-site
• £130,000 – £180,000 pa
• Director · manages people
• Permanent

Lead the entire AI research strategy for a financial crime intelligence business, building and managing a team of researchers and ML engineers while staying hands-on. Drive LLM fine-tuning, agentic systems, vision models, evaluation frameworks and explainability standards for highly regulated AML, compliance and fraud detection use cases, taking research from concept to production.

LLMs

• London
• Hybrid
• £110,000 – £120,000 pa
• Director

Own the fraud strategy for a technology-led financial services business, blending strategic leadership with hands-on data science. Build and deploy AI-driven fraud identification, including classifiers, anomaly detection, document intelligence and network analysis, and run fraud models in production with CI/CD, monitoring and governance. Partner with Product, Engineering, Credit and Operations to embed controls.

Python · SQL · Git +1

• London
• Hybrid · 2 days in office
• £160,000 – £170,000 pa
• Director · manages people

Owns the data, analytics and AI strategy for a global pharmaceutical procurement joint venture, leading a multidisciplinary team of around 18 across analytics, data science and engineering. Reports to the COO and drives a digital and AI roadmap spanning commercial and pricing analytics, predictive modelling of supply chain risk and operational improvement, influencing senior stakeholders across both parent organisations.

• Dublin, Ireland
• Director

This role involves leading teams on high-profile forensic data analytics and FinCrime engagements, managing complex projects, and advising clients on regulatory compliance. The position requires extensive experience in data analytics, AML, fraud investigations, and cloud technologies, with a focus on strategic application and leadership.