AI Engineer

We are looking for a talented AI Engineer to join our AI Engineering squad as we scale our in-house artificial intelligence capability across Shawbrook Bank. 

You will join at a pivotal stage of our AI transformation as we move from experimentation and proof-of-concept initiatives into production-grade AI systems that deliver measurable business value across lending deposits operations risk and customer experience. Working in close partnership with our AI Product Manager and alongside other AI Engineers and the AI Engineering Lead you will help design build and ship AI solutions within a regulated banking environment. 

This is a hands-on role for a strong engineer who is excited about building with AI. Youll work across our AI products and shared platform capabilities getting hands-on with LLMs retrieval-augmented generation (RAG) and modern AI tooling. Youll be starting with well-scoped work and growing towards owning features end-to-end with support from experienced engineers around you. 

Key Responsibilities 

• Build test and ship features across our AI products and shared platform capabilities progressing from well-scoped tasks towards larger slices of work. 

• Work hands-on with LLMs retrieval-augmented generation (RAG) and AI tooling with support from senior engineers. 

• Build a good working understanding of our AI platform and applications with growing awareness of other domains across the Bank (lending data risk and operations) 

• Contribute to the controls production AI depends on (evaluation observability testing and CI/CD). 

• Help integrate AI services with other systems and data sources through well-designed APIs. 

• Take an active part in code review and pairing growing towards end-to-end ownership. 

• Apply responsible-AI practices within a regulated environment. 

• Support engineers in the wider Shawbrook Engineering department with AI adoption and upskilling. 

• Work within an agile cross-functional squad to deliver iteratively and aligned to business value. 

Qualifications :

Essential 

• Confident building and maintaining backend services and APIs ideally in Python with good testing and version-control practices. 

• You have worked with AI programmatically for example building with LLM APIs machine learning or AI-driven projects (professional academic or personal). 

• Some experience with a major cloud platform preferably Azure. 

• Keen to take on more responsibility over time and grow into owning work end-to-end. 

• A friendly teammate who enjoys learning and working with others. 

• Relevant academic background in Computer Science Data Science Engineering Mathematics or related discipline.  

Nice to have 

• Experience delivering AI/ML in a production environment. 

• Professional certifications in cloud platforms (e.g. Azure AI Engineer Associate) would be beneficial. 

• Background in machine learning engineering/operations. 

• Interest in developing a broad skillset across AI backend and frontend engineering. 

• Experience in regulated environments.

Additional Information :

Your Wellbeing - We take your health and well-being very seriously by providing a range of benefits to give you and your family peace of mind. These include:

• Market leading family friendly policies such as access to our Maternity Adoption and Paternity policies from Day 1 of your employment
• Free access to Headspace a mindfulness & meditation digital health app
• Free access to Peppy digital health app that offers personalised support through fertility treatment becoming a parent or menopause
• EAP (Employee Assistance Programme) - Offering you support on a wide range of subjects including financial concerns mental wellbeing and more general queries around family work housing and health
• Cycle to work scheme
• Discounts on gym membership
• Contributory pension scheme & death in service

Your Lifestyle - Its important you strike the right balance between your work and personal life. We provide benefits to support you when at work and when youre enjoying your leisure time.

• Minimum of 27 days holiday per year
• Option to buy or sell holiday days through our flexi-holiday scheme
• Discounts on gym membership nationwide
• Access to discounts on a range of high street and online brands
• Community support and charitable giving

Your Contribution - Were focused on rewarding those that go the extra mile in helping us achieve our goals.

• Participation in our annual discretionary bonus scheme designed to reward your contribution to our success
• Proudly Shawbrook recognition scheme focused on recognising our role models and thanking our colleagues for a job well done

Remote Work :

No

Employment Type :

Full-time