At a Glance
- Tasks: Lead AI projects and collaborate with diverse teams to innovate in banking solutions.
- Company: Join Deloitte's cutting-edge AI & Data Financial Services team.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities in a supportive environment.
- Why this job: Make a real impact in the financial industry with advanced AI technologies.
- Qualifications: Experience in AI engineering, Python, SQL, and strong collaboration skills.
The predicted salary is between 70000 - 90000 £ per year.
Overview
Deloitte's AI & Data Financial Services team focuses on developing AI solutions for the financial industry. The Manager role supports banking clients by delivering innovative solutions and driving continuous improvement.
Responsibilities
- Supporting clients and Deloitte AI leads in translating vision into AI architecture strategy and roadmap.
- Leading technical squads on Data & AI projects, AI prototyping, and experimentation sprints.
- Collaborating with AI Engineers, Data Scientists, Business teams, MLOps/LLMOps engineers, and various architects.
- Owning technical decision‑making activities, including open‑source vs COTS product choices, AI deployment patterns, integration patterns, and design decisions.
- Working with security and risk leaders to mitigate AI risks, ensuring ethical AI implementation and regulatory compliance.
- Preparing technical review boards and design authorities, ensuring compliance with data privacy, security and regulatory requirements.
- Building strong client relationships.
- Developing project proposals, technology business‑case documents, and estimating ROI of AI implementations.
- Contributing to internal AI technical training pathways and mentoring junior colleagues.
Qualifications
- Software/data engineering with proven experience in applied AI engineering, using Python and SQL.
- Experience in ML engineering and building API‑enabled backends such as FastAPI is preferred.
- Experience with LLM fundamentals: prompt engineering, fine‑tuning, embedding models, RAG patterns and evaluation frameworks for agentic systems.
- Comfortable with CI/CD tooling and ensuring good practices across the delivery team.
- Knowledge of MLOps/LLMOps is a plus.
- Track record delivering agentic AI solutions, managing scope, and estimating build effort.
- Proficient in software delivery methodologies: Agile/SaFe, Extreme Programming, Jira, Confluence, Linear, Monday.
- Experience in the Financial Services industry, primarily the Banking sector.
- Experience with at least one vector database (e.g., Pinecone), an agent framework (LangChain, LangGraph, Agent Development Kit), and MCP.
- Strong understanding of modern data architectures and ability to identify technical and delivery risks.
- Experience with at least one hyperscaler stack, preferably with certification (AWS, Azure, GCP, Databricks).
- Excellent communication, stakeholder‑management, and collaboration skills; works effectively with multidisciplinary teams.
- Problem‑solving mindset and ability to work independently.
- Comfortable writing technical papers and AI business‑case documents.
Manager, AI Engineer, Banking, AI Scaling & Transformation, AI & Data employer: Hm Revenue & Customs (Hmrc)
Deloitte is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to lead transformative AI projects in the banking sector. With a strong focus on professional development, team collaboration, and ethical AI practices, employees benefit from comprehensive training pathways and mentorship opportunities, all while working in a culture that values diversity and creativity. Located in a vibrant city, Deloitte provides access to a wealth of resources and networking opportunities, making it an ideal place for those seeking meaningful and rewarding careers in AI and data.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Manager, AI Engineer, Banking, AI Scaling & Transformation, AI & Data
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking and AI sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to financial services. This will give potential employers a taste of what you can bring to the table, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, SQL, and ML engineering. Practice common interview questions and think about how you can demonstrate your problem-solving mindset.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Plus, it’s a great way to ensure your application gets seen by the right people. Let’s get you that dream job!
We think you need these skills to ace Manager, AI Engineer, Banking, AI Scaling & Transformation, AI & Data
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience in AI engineering, Python, and SQL, as well as any relevant projects you've worked on in the banking sector.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI in financial services. Share specific examples of how you've led technical squads or contributed to AI projects, and don’t forget to mention your problem-solving mindset!
Showcase Your Technical Skills:In your application, be sure to highlight your familiarity with CI/CD tooling, MLOps/LLMOps, and any experience with vector databases or agent frameworks. We want to see how you can contribute to our innovative solutions!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at Hm Revenue & Customs (Hmrc)
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI engineering, especially in Python and SQL. Be ready to discuss your experience with ML engineering and any projects you've worked on that involved AI solutions in the banking sector.
✨Showcase Your Collaboration Skills
Since this role involves working with various teams, be prepared to share examples of how you've successfully collaborated with AI Engineers, Data Scientists, and business teams. Highlight your experience in leading technical squads and how you’ve contributed to project proposals.
✨Understand Compliance and Risk Management
Familiarise yourself with ethical AI implementation and regulatory compliance, especially in the financial services industry. Be ready to discuss how you've worked with security and risk leaders to mitigate AI risks in past projects.
✨Prepare for Technical Decision-Making
Think about the technical decisions you've made in previous roles, such as choosing between open-source and COTS products. Be ready to explain your thought process and how you ensure good practices in CI/CD tooling and software delivery methodologies.
