McNally Recruitment Ltd
Artificial Intelligence Engineer
London
£80k – £100k/yr
Posted about 22 hours ago
Get notified of more jobs like this · No spam, ever
How your CV stacks up
1Upload CV
2Analyse CV
3Improve CV
Upload your CV to see how well it fits this job role
?%
Lead AI Engineer (London)
We are working in collaboration to source a Lead AI Engineer for a Financial Services client in London, working in the office 1-2 days per week.
Your Responsibilities
- Partner closely with business units and support functions to understand workflows, pain points and opportunities where AI can create measurable value.
- Lead AI use cases end to end from discovery and scoping through prototyping, implementation, rollout and continuous improvement.
- Design, build and adapt AI agents and AI-enabled workflows to fit real business processes, enterprise constraints and the requirements of a regulated banking environment.
- Take ownership of deployed AI agents by monitoring their usage, performance and business impact and by driving ongoing optimisation in collaboration with stakeholders.
- Facilitate workshops and working sessions with business teams to identify, prioritise and shape high-impact AI use cases and practical implementation paths.
- Act as a bridge between business and technology by translating business requirements into technical solutions and explaining technical concepts in a clear and accessible way.
- Capture learnings from deployments and feed them back into reusable patterns, improvements and scalable approaches across the organisation.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Essential Skills
- Degree in computer science, engineering, data science, business informatics, innovation management, finance, economics or a related field; equivalent practical experience is also welcome.
- Experience working effectively at the intersection of business and technology.
- Strong understanding of business processes and stakeholder needs with the ability to build trust and work closely with internal clients and cross-functional teams.
- Hands-on experience building and deploying practical technology solutions in complex enterprise environments.
- Strong understanding of modern AI systems and agentic workflows, including LLM integration, retrieval, tool use, context orchestration, evaluations, guardrails, observability and human-in-the-loop workflows.
- Ability to analyse complex workflows, simplify ambiguity and translate business requirements into practical and responsible solutions.
- Strong communication skills in English; German and additional languages relevant to client locations are an advantage.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Preferred Qualifications
- Experience in private banking, wealth management or financial services, ideally in areas such as client advisory, onboarding, KYC, investment processes, operations, risk or compliance.
- Familiarity with enterprise requirements related to security, governance, risk management, data privacy and regulatory expectations.
- Experience with modern software development, data management, system integration, cloud technologies, and relevant AI or automation tools.
- Experience supporting adoption, change and continuous improvement in complex organisational environments.
Trusted by 25,000+ job seekers
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location