At a Glance
- Tasks: Design and build AI solutions, automate workflows, and create data products for balance sheet modelling.
- Company: Leading organisation in financial services with a focus on innovation.
- Benefits: Hybrid working model, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and career development.
- Why this job: Join a transformative programme and make a real impact with cutting-edge AI technology.
- Qualifications: Experience in AI/Data Engineering, strong Python/SQL skills, and knowledge of Azure technologies.
The predicted salary is between 63000 - 77000 £ per year.
AI & Data Engineer
Location
London, UK (Hybrid, Remote)
Working Model
Long-term contract
IR35 Status
Outside IR35
The Role
We are working with a leading organisation on a major Balance Sheet Modelling transformation programme and are looking for an experienced AI & Data Engineer to work across the Balance Sheet Modelling, Data and AI Working Groups.
You will be responsible for turning business use cases into scalable, production-ready AI and data solutions.
This will include building AI agents, developing RAG capabilities, automating workflows and creating data products that support balance sheet modelling and wider business objectives.
The role is highly hands-on and will suit an engineer who enjoys working across AI, data and automation while taking solutions from initial concept through to production.
Key Responsibilities
- Design and build production-ready AI agents and agentic workflows.
- Develop RAG solutions and AI-powered applications.
- Translate business requirements and use cases into scalable technical solutions.
- Build and maintain data pipelines and reusable data components.
- Develop balance sheet modelling data products and supporting integrations.
- Build workflow automation solutions using modern AI and automation technologies.
- Develop integrations through APIs and enterprise data platforms.
- Work with Power Platform and Copilot Studio to deliver business automation and AI solutions.
- Implement appropriate testing, monitoring and Dev Ops practices.
- Produce technical documentation and contribute to support and operating models.
- Work collaboratively across the Balance Sheet Modelling, Data and AI Working Groups.
- Continuously improve and evolve AI and data solutions based on business outcomes and user feedback.
Essential Skills & Experience
- Strong commercial experience in AI Engineering and/or Data Engineering.
- Hands-on experience building AI agents and agentic workflows.
- Strong knowledge of prompt engineering and RAG.
- Strong Python and SQL skills.
- Experience with Azure Databricks and/or Microsoft Fabric.
- Work with Power Platform and Copilot Studio to deliver business automation and AI solutions.
- Experience building data pipelines and working with APIs.
- Experience with workflow automation and AI-powered business solutions.
- Understanding of Dev Ops, testing and monitoring for production AI/data solutions.
- Strong understanding of data engineering principles and scalable solution design.
- Ability to work with business stakeholders and translate requirements into technical solutions.
Desirable Skills & Experience
- Experience within financial services, banking or financial modelling environments.
- Experience with LLM-based applications and enterprise AI platforms.
- Experience implementing AI solutions in production environments.
- Experience with Azure AI services and Microsoft Copilot technologies.
- Experience working within large-scale transformation or AI adoption programmes.
- #J-18808-Ljbffr
AI & Data Engineer in London employer: Stott and May
Stott and May is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the field of cybersecurity. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technologies in a supportive environment. Located in a vibrant area, the company provides unique advantages such as flexible working arrangements and a commitment to work-life balance, making it an ideal place for professionals seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AI & Data 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 Stott and May 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
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✨Tap into Online Developer Communities
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✨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 Stott and May 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 & Data 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 Stott and May.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Stott and May 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 Stott and May
✨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 Stott and May 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.