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For Companies At a Glance
- Tasks: Design and deploy advanced AI systems for top financial services clients.
- Company: Join Capco, a leader in digital transformation for financial institutions.
- Benefits: Enjoy competitive pay, flexible holidays, and extensive training opportunities.
- Other info: Collaborative culture with a focus on personal growth and innovation.
- Why this job: Shape the future of AI in finance while working with cutting-edge technology.
- Qualifications: Experience in AI/ML engineering and strong software development skills required.
The predicted salary is between 70000 - 90000 £ per year.
Location: Scotland (Edinburgh Hybrid) | Practice Area: Technology & Engineering | Type: Permanent
Shape the future of AI-powered financial services through cutting-edge generative AI engineering and enterprise-scale innovation.
The Role
We’re looking for a Senior AI Engineer (Senior/Principal Consultant) to join our Technology Delivery team. In this role, you’ll combine deep expertise in AI/ML engineering and software development to design, build, and deploy advanced generative AI and agentic systems for leading financial services clients. You’ll work hands-on across the full AI engineering lifecycle, from architecting intelligent multi-agent systems to deploying scalable production-grade AI applications within enterprise environments. As a senior consultant, you’ll also collaborate closely with multidisciplinary teams and client stakeholders to drive innovation, accelerate adoption, and deliver measurable business impact. This role is aligned to our Scotland office, with flexibility to work from either Glasgow or Edinburgh depending on client expectations.
What You’ll Do
- Architect and develop autonomous AI systems leveraging multi-modal large language models across text, image, audio, and video
- Design and implement agentic workflows using prompt engineering, Retrieval-Augmented Generation (RAG), APIs, and enterprise data integrations
- Fine-tune, optimize, and deploy large language and multi-modal models with a focus on scalability, reliability, and low-latency performance
- Build scalable MLOps pipelines and cloud-native AI applications to support secure, production-grade deployments
- Collaborate with clients and cross-functional teams to shape AI engineering strategy and accelerate GenAI adoption across complex environments
What We’re Looking For
- Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Engineering, or a related STEM discipline
- Proven hands-on experience deploying LLMs and multi-modal AI models within enterprise or large-scale production environments
- Strong software engineering expertise in Python, including backend development, API design, and distributed systems
- Solid understanding of scalable MLOps, observability, CI/CD practices, and cloud-native AI deployment architectures
- Excellent communication, stakeholder management, and problem-solving skills within agile delivery environments
Bonus Points For
- Experience building AI agent frameworks or autonomous orchestration platforms
- Knowledge of vector databases, semantic search, and advanced RAG architectures
- Experience with cloud platforms such as AWS, Azure, or GCP for AI workloads
- Familiarity with financial services, banking, or regulated enterprise environments
- Exposure to AI governance, model monitoring, and responsible AI practices
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 #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.
Senior AI Engineer in Edinburgh employer: Capco
Contact Detail:
Capco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space, especially those who work in financial services. A friendly chat can lead to insider info about job openings or even referrals.
✨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 potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled challenges in past projects, particularly in deploying scalable AI applications. We want to see your thought process!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and shaping the future of AI-powered financial services.
We think you need these skills to ace Senior AI Engineer in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior AI Engineer role. Highlight your expertise in AI/ML engineering and any relevant projects you've worked on, especially those involving generative AI.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Be sure to mention specific technologies or methodologies you've used that relate to the job description.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex challenges in previous roles. We love seeing how you approach problems, especially in agile environments, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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 generative AI systems. Be ready to discuss specific projects you've worked on, especially those involving large language models and multi-modal applications. This will show that you not only understand the theory but have practical experience too.
✨Showcase Your Software Skills
Since strong software engineering expertise in Python is crucial for this role, prepare to talk about your backend development experiences. Bring examples of API design and distributed systems you've worked on, and be ready to explain how you’ve implemented scalable MLOps pipelines in past projects.
✨Communicate Clearly
Excellent communication is key, especially when collaborating with multidisciplinary teams and clients. Practice explaining complex technical concepts in simple terms. This will demonstrate your ability to engage stakeholders effectively and ensure everyone is on the same page.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills within agile delivery environments. Think of examples where you had to innovate or adapt quickly to meet client needs, particularly in financial services. This will highlight your ability to drive business impact through AI solutions.