Discover the latest Financial Services jobs within the UK AI industry

Lead Data Scientist /Deep Learning Practitioner

Lead the development and deployment of deep learning models to enhance underwriting systems, focusing on non-traditional data sources and advanced neural architectures. Translate research prototypes into production solutions while mentoring team members and collaborating with stakeholders. Work across structured and unstructured data, applying techniques like LSTMs, RNNs, and Transformers.

Capital One Leicester, Leicestershire, United Kingdom

Cloud Support Engineer

Act as a Cloud Support Engineer providing 24/7 technical support for a cloud-native banking platform. Diagnose and triage infrastructure, platform, and application-level issues using observability tools, manage incident resolution, and support clients through product installation, upgrades, and production rollouts. Collaborate with engineering teams to resolve incidents and improve system reliability.

Thought Machine Singapore, Singapore

On-site Permanent Shift-work

Payroll Specialist

The Payroll Assistant supports global payroll operations across multiple regions, ensuring accurate and compliant processing in collaboration with external providers and internal teams. This role involves managing payroll timelines, statutory reporting, employee queries, and benefit alignment while contributing to process improvements and system implementations. It offers an opportunity to shape payroll scalability within a high-growth fintech with a strong engineering and compliance focus.

Thought Machine London, United Kingdom

On-site Permanent

AI FinOps Lead

This role involves taking ownership of AI economics and FinOps, working closely with engineering and business stakeholders to manage and optimize AI and cloud costs. Responsibilities include analyzing consumption patterns, developing metrics, and shaping best practices for AI cost management.

WeDo Technology Solutions Limited Croydon, United Kingdom £80,000 – £95,000 pa

Data Science Manager

Leads a team of data scientists to develop, deploy, and support AI solutions across public sector procurement projects, with a focus on generative AI, machine learning, and ethical AI practices. Manages end-to-end AI lifecycles including MLOps and GenAIOps, ensures technical quality, and advises on scalable, secure implementations in cloud environments like Azure or AWS. Engages in strategic planning, cross-functional collaboration, and innovation initiatives through an internal funding board.

SVGC Limited Milton Keynes, Buckinghamshire, United Kingdom £65,000 – £75,000 pa

Director of Nonclinical Safety, Cambridge, MA

Lead the development and execution of nonclinical safety strategies for small molecule and biologic drug candidates in an AI-driven drug discovery environment. Pioneer the integration of artificial intelligence into toxicology assessment, build a scalable safety function, and collaborate across interdisciplinary teams to de-risk clinical translation. Represent the company in regulatory interactions with health authorities and help validate AI-generated safety models for regulatory acceptance.

Isomorphic Labs Cambridge, United Kingdom

Associate Director, Clinical Program Management, Cambridge, MA

The Clinical Program Manager will lead the transition of internal drug programs from pre-IND stages into clinical trial execution, managing timelines, budgets, and cross-functional teams. This role involves close collaboration with AI/ML and data science teams, CROs, and global stakeholders to ensure efficient, high-probability clinical development. The position operates in a hybrid model, requiring in-office presence multiple days per week in Cambridge, MA.

Isomorphic Labs England

Hybrid Permanent

Senior Site Reliability Engineer

This role involves ensuring the reliability and resilience of mission-critical cloud-native banking and payments platforms. The Senior SRE will lead on disaster recovery, automation, and operational excellence, while mentoring team members and shaping SaaS product reliability. Work includes Kubernetes, cloud infrastructure, and cross-functional collaboration with engineering and customer-facing teams.