Head of AI/ML
Head of AI Engineering
Lloyds Banking Group · Financial Services / Retail Banking · 50000+ employees · 📍 Greater Bristol Area, United Kingdom
Lloyds Banking Group is hiring a senior engineering leader to own and scale advanced AI engineering capability within one of the UK's largest financial institutions, likely in response to intensifying pressure to industrialise AI across retail and commercial banking.
AI Maturity
scaling
Reports To
CTO
Why Role Exists
Expansion
Company Stage
public
Source
linkedin
Key Responsibilities
- Lead and scale the advanced AI engineering function, setting technical direction for AI/ML systems in production
- Drive delivery of high-impact AI initiatives across banking products, risk, and operations
- Partner with data science, product, and business leadership to translate AI strategy into engineering reality
- Establish engineering standards, tooling, and best practices for responsible AI at scale
- Attract, develop, and retain top AI engineering talent within a regulated enterprise environment
Requirements
- Deep hands-on and leadership experience in AI/ML engineering, including LLMs, deep learning, or advanced ML systems
- Proven track record leading engineering teams delivering AI to production at scale
- Experience operating in or working with regulated industries (financial services, healthcare, etc.)
- Strong stakeholder management and ability to influence at senior/executive level
Signals
- ⚠ No salary disclosed — unusual for a senior role and may indicate internal benchmarking uncertainty
- ⚠ No job description body provided — limits ability to assess true scope and seniority
- ⚠ No previous postings from this employer — no pattern data to validate role stability
- ✓ Lloyds Banking Group is a FTSE 100 institution with confirmed multi-year digital and AI investment mandate
- ✓ Bristol location reflects a genuine, established engineering hub — not a peripheral outpost
- ✓ 'Advanced AI Engineering' framing signals serious technical ambition, not a token AI hire
- ✓ Large institution means budget, infrastructure, and data assets to build on