At a Glance
- Tasks: Lead the development of cutting-edge AI systems in the financial sector.
- Company: Join Capco, a forward-thinking tech consultancy with a collaborative culture.
- Benefits: Enjoy a competitive benefits package, including flexible holidays and continuous learning opportunities.
- Other info: Be part of a dynamic team driving innovation in financial services.
- Why this job: Shape the future of digital transformation while working on impactful AI projects.
- Qualifications: Degree in Computer Science or related field; experience with AI/ML and software development.
The predicted salary is between 81000 - 99000 £ per year.
Empower the next frontier of AI with Capco.
The Role
We're looking for a Lead AI Engineer (Senior/Principal Consultant) to join our Technology Delivery Team. You'll combine your expertise in AI/ML engineering and software development to build and deploy cutting-edge generative AI and agentic systems across the financial services sector. As a hands-on leader, you'll architect AI solutions, embed them within enterprise environments, and drive impactful outcomes through advanced engineering, scalable pipelines, and deep cross-functional collaboration.
What You'll Do
- Architect and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video)
- Design agentic workflows enabling AI agents to interact with data sources and APIs using prompt engineering and RAG
- Fine-tune, optimize, and deploy large language and multi-modal models with a focus on performance and latency
- Build scalable MLOps pipelines and full-stack applications to support robust, production-grade AI deployments
- Guide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoption
What We're Looking For
- Bachelor's degree or higher in Computer Science, AI, or related STEM fields
- Hands-on experience deploying LLMs and multi-modal models at scale
- Strong engineering background in Python with proven backend and API development skills
- Solid understanding of scalable MLOps, observability, and cloud-native AI deployment
- Excellent communication, problem-solving, and project management skills in agile environments
Bonus Points For
- Experience with agentic frameworks (e.g., LangChain, LlamaIndex)
- Experience in deep learning frameworks and front-end development
- Familiarity with Langfuse, Langsmith, or other LLM observability tools
- Understanding of Model Context Protocol and bias/hallucination mitigation techniques
- Previous success in integrating GenAI solutions into enterprise-scale systems
Why Join Capco
- Deliver high-impact technology solutions for Tier 1 financial institutions
- Work in a collaborative, flat, and entrepreneurial consulting culture
- Access continuous learning, training, and industry certifications
- Be part of a team shaping the future of digital financial services
- Help shape the future of digital transformation across FS & Energy.
Benefits
We offer a competitive, people-first benefits package designed to support every aspect of your life: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement. Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. Continuous Learning: Your growth, your way - minimum 40 Hours of Training Annually. Convenient online GP services. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.
Inclusion at Capco
We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help.
AI Lead Engineer in London employer: Capco
Capco is an exceptional employer that fosters a collaborative and entrepreneurial culture, allowing you to deliver high-impact transformation programmes for Tier 1 financial institutions. With a strong commitment to employee growth, you will benefit from continuous learning opportunities, structured career development, and a supportive environment that values work-life balance through generous leave policies and wellness perks. Join us in shaping the future of cyber and operational resilience while enjoying a competitive benefits package in the vibrant city of London.
StudySmarter Expert Advice🤫
We think this is how you could land AI Lead Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Capco or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Capco.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Capco.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Capco that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Lead Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Capco.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Capco and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Capco
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Capco uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
