National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Engineering Lead - Financial Services - Bristol

Morgan McKinley
London
11 months ago
Applications closed

Related Jobs

View all jobs

Engineering Lead I - Machine Learning Platform

Data Engineering Lead MLOps AI PaaS

Machine Learning & AI Engineering Lead

Machine Learning & AI Engineering Lead

Machine Learning & AI Engineering Lead

Machine Learning and AI Engineering Lead

Engineering Lead - Financial Services - BristolAbout This Opportunity

We are delighted to present an exciting opportunity on behalf of our client, a leading organsation in the Banking and Financial Services sector. They are seeking a talented Data/Software Engineering leader to join one of their key platforms. You will work within multi-functional product engineering teams, leveraging your expertise to deliver top-tier data capabilities while embracing the innovative potential of the cloud.

What You'll Be Doing

Leadership and Development: Lead software engineering teams in creating high-quality applications and systems that use AI and machine learning to deliver personalised experiences for 26 million customers and users.Collaboration: Work closely with the Head of Engineering, product managers, architects, and other stakeholders to define and implement the software engineering roadmap.Mentorship: Mentor and coach the software engineering squad, fostering skill development and career growth.Technical Problem Solving: Troubleshoot, debug, and resolve technical challenges throughout the software development lifecycle.Innovation: Deliver technical solutions applicable across multiple entities within the group.Data Management: Define consumption and integration patterns, data models, and contracts, and create automation tools for data reconciliation and curation.Quality and Security: Champion a culture of delivering highly secure and high-quality software, adopting best engineering practices like Test Driven Development, code reviews, and Continuous Integration/Continuous Delivery.Efficiency: Identify and eliminate recurring issues through automation and process improvement.Team Collaboration: Build strong relationships and collaborate effectively with other teams across various domains.Inclusivity and Diversity: Promote a culture of inclusivity and diversity within the team.



What We're Looking For

Our client values candidates with a background in data/software engineering, particularly those who bring:
Technical Expertise: Hands-on experience in systems design, software development, testing, and operational stability.Automation and CI/CD: Proven experience with automation and Continuous Integration/Continuous Delivery.Programming Skills: Proficiency in languages and technologies such as Python, Java, Rust, JavaScript, React, Angular, TensorFlow, and PyTorch.Data Handling: Experience working with large-scale data sets, data pipelines, and cloud platforms like AWS, Azure, or Google Cloud.Distributed Systems: Knowledge of distributed systems and event-driven architecture.Cloud Solutions: Practical experience with cloud-native solutions and advanced knowledge of containers (Docker, Kubernetes).Kafka: Strong experience with Kafka technologies.Foundational Knowledge: A solid understanding of data structures, algorithms, software design, design patterns, and core programming concepts.Cloud Proficiency: Understanding of cloud storage, networking, and resource provisioning.Talent Development: Experience in hiring and developing talent.

Desirable Qualifications

Certifications such as GCP "Cloud Architect," "Cloud Developer," "Professional Data Engineer," or Apache Kafka (CCDAK). Strong experience in data analysis and proficiency across the data lifecycle.

Benefits Offered by Our Client

Generous Pension: Contributions up to 15%.Performance Bonus: Annual performance-related bonus.Share Schemes: Including free shares.Flexible Benefits: Customisable to suit your lifestyle, such as discounted shopping.Holidays: 30 days' holiday plus bank holidays.Wellbeing Initiatives: A range of wellbeing initiatives and generous parental leave policies.

Our Client'smitment to Diversity and Inclusion

Our client is dedicated to building an inclusive environment where everyone feels they belong and can thrive. Thismitment includes setting diversity goals for senior roles, offering menopause health packages, and initiating dedicated support for employees working with cancer. They actively encourage applications from under-represented groups and offer reasonable adjustments for candidates with disabilities.

Morgan McKinley is acting as an Employment Agency and references to pay rates are indicative.

BY APPLYING FOR THIS ROLE YOU ARE AGREEING TO OUR TERMS OF SERVICE WHICH TOGETHER WITH OUR PRIVACY STATEMENTERN YOUR USE OF MORGAN MCKINLEY SERVICES.

Job ID JN -062024-1963741

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.