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For Companies At a Glance
- Tasks: Lead the development of innovative AI systems in a dynamic financial services environment.
- Company: Join Capco, a forward-thinking tech consultancy shaping the future of finance.
- Benefits: Enjoy a competitive salary, flexible holidays, and extensive training opportunities.
- Why this job: Make a real impact by architecting cutting-edge AI solutions for top-tier clients.
- Qualifications: Strong background in AI/ML, Python, and scalable MLOps required.
- Other info: Collaborative culture with a focus on continuous learning and personal growth.
The predicted salary is between 48000 - 72000 £ per year.
Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent
Empower the next frontier of AI with Capco. Shape, build, and deliver future-ready generative systems.
The Role
We are looking for a Lead AI Engineer (Principal Consultant) to join our Technology Delivery Team. You will 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 will 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
- Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
- Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.
- Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
- Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
- 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. Take your pick; workshops, certifications, e-learning. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.
- Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.
Inclusion at Capco
We are 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. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.
Lead AI Engineer in London employer: Capco
Contact Detail:
Capco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and multi-modal models. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI engineering. Practice explaining complex concepts in simple terms, as communication is key in collaborative environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Lead AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead AI Engineer role. Highlight your experience with AI/ML engineering and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our team. Keep it engaging and make sure to connect your experiences to the job description.
Showcase Your Projects: If you've worked on any cool AI projects, don't hold back! Include links or descriptions of your work that demonstrate your expertise in deploying LLMs and building scalable MLOps pipelines. We love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at Capco!
How to prepare for a job interview at Capco
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML engineering and software development. Be ready to discuss your hands-on experience with deploying LLMs and multi-modal models, as well as any specific projects you've worked on that relate to generative AI.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex problems in previous roles. Think about times when you had to optimise performance or reduce latency in AI systems, and be ready to explain your thought process and the outcomes.
✨Communicate Clearly
Since excellent communication is key for this role, practice explaining technical concepts in a way that's easy to understand. You might be asked to guide multidisciplinary teams, so being able to articulate your ideas clearly will set you apart.
✨Familiarise Yourself with Tools
If you have experience with agentic frameworks like LangChain or observability tools such as Langfuse, make sure to highlight that. Even if you haven't used them directly, showing that you understand their importance in AI deployment can give you an edge.
