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 digital finance.
- Benefits: Enjoy a competitive benefits package, including mental health support and continuous learning opportunities.
- Other info: Collaborative culture with excellent career growth and training from day one.
- Why this job: Make a real impact by delivering cutting-edge AI solutions for top-tier financial institutions.
- Qualifications: Degree in Computer Science or related field, with hands-on AI/ML experience.
The predicted salary is between 80000 - 100000 £ per year.
Empower the next frontier of AI with Capco. Shape, build, and deliver future-ready generative systems.
The Role
We're looking for a Lead AI Engineer (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 Back End 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 (eg, 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:
- 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.
- Healthcare Access: 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. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.
AI Engineer employer: Capco
Capco is an excellent employer for those looking to make a significant impact in the banking sector, particularly in London where innovation meets tradition. With a strong focus on employee growth through professional training and a supportive work culture that values collaboration and stakeholder engagement, Capco ensures that its team members are well-equipped to lead transformative projects. The hybrid working model further enhances work-life balance, making it an attractive place for professionals seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and tech scene. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and multi-modal models. This is your chance to demonstrate your hands-on experience and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving and project management skills. Practice common technical questions and be ready to discuss your experience with scalable MLOps and cloud-native deployments. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us at Capco. It shows initiative and gives you a better chance of standing out in the crowd.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead AI Engineer role. Highlight your hands-on experience with LLMs and multi-modal models, as well as your engineering background in Python.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your expertise can contribute to our team. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Projects:If you've worked on relevant projects, whether personal or professional, make sure to include them. We love seeing real-world applications of your skills, especially in building scalable MLOps pipelines or deploying AI systems.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
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 the latest trends in generative systems. Be ready to discuss your hands-on experience with deploying LLMs and multi-modal models, as this will show that you’re not just theory but also practice.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in previous projects. Highlight your experience with prompt engineering and RAG, as well as any challenges you've faced while building scalable MLOps pipelines.
✨Communicate Clearly
Since excellent communication is key for this role, practice explaining technical concepts in a way that's easy to understand. Think about how you can convey your ideas effectively to multidisciplinary teams and clients, especially in agile environments.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to AI and their future projects. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially regarding collaboration and innovation.
