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- Tasks: Design and build innovative AI solutions using Microsoft technologies.
- Company: Leading banking client driving AI innovation in a hybrid work environment.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI in financial services.
- Qualifications: Strong Python skills and experience with Microsoft AI tools required.
- Other info: Collaborative culture with a focus on ethical AI practices.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Hybrid Working – London – 2 days a week on site.
Financial Services
Lorien's leading banking client is looking for an AI Engineer with strong experience across the Microsoft AI stack, supporting a wave of AI innovation, solution design and capability uplift across the business. You'll act as a flexible, hands-on technical specialist who can plug gaps, drive early-stage delivery, and accelerate our roadmap across Azure AI Foundry, M365 agents, Copilot extensibility and broader Microsoft tooling. This role suits someone who is highly autonomous, delivery-focused, and capable of handling a wide mix of early-stage engineering, documentation, prototyping and solution shaping.
This role will be via Umbrella. Working in a Hybrid Model of 2 days a week on site.
What You’ll Be Doing:
- AI Engineering & Build
- Designing and building AI solutions using:
- Azure AI Foundry
- M365 Agents
- Copilot extensions / plugins
- Micro stack orchestration
- Python as the primary engineering language
- Creating purpose-built AI agents aligned to CRM AI business maps, workflow automation and productivity conversations.
- Driving innovation pilots, PoCs and early discovery work across the business.
- Working alongside internal engineers and external partners to fill capability gaps and accelerate delivery.
- Acting as an SME in the Foundry space, advising on design patterns, feasibility and technical constraints.
- Producing clear solution design, documentation and reusable patterns.
- Helping shape IP, frameworks and technical assets that can be scaled beyond the contract period.
- Supporting teams who are still early in their AI maturity – translating concepts into workable, pragmatic solutions.
Key Skills and Experience:
- Technical Skills
- Strong engineering background with Python at the core.
- Hands-on experience across the Microsoft AI ecosystem, including:
- Azure AI Foundry
- M365 extensibility / agent frameworks
- Copilot customisation
- Microstack orchestration
- Ability to design and implement end-to-end AI workflows and agents.
- Solid understanding of modern AI concepts and patterns developed over the last few years.
- Experience in LLM orchestration, agent frameworks, prompt engineering and real-world delivery.
- An “eye for making it work” – practical, production-focused engineering.
- Able to step into an environment that is “a million miles off the mark” and bring clarity to solution design.
- Comfortable bridging gaps between technology and business-facing stakeholders.
- Strong documentation, communication and design thinking skills.
- Awareness of responsible AI principles and ability to embed guardrails into design and engineering decisions.
Artificial Intelligence Engineer in London employer: Impellam Group
Contact Detail:
Impellam Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using the Microsoft stack. 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 common AI engineering questions and practical scenarios. Practice explaining your thought process and how you tackle problems, as this will demonstrate your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Artificial Intelligence Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with the Microsoft AI stack, Python, 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. Be sure to mention specific technologies like Azure AI Foundry and M365 agents that you've worked with.
Showcase Your Projects: If you've got any projects or portfolios that demonstrate your AI engineering skills, don’t hold back! Include links or descriptions in your application. We love seeing practical examples of your work and innovation.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Impellam Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in the Microsoft AI stack, especially Azure AI Foundry and M365 agents. Brush up on your Python skills too, as it’s the core of the role. Being able to discuss specific projects or experiences where you've used these technologies will really impress.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex engineering challenges in the past. Think about times when you had to innovate or deliver under pressure. This role is all about driving early-stage delivery, so demonstrating your ability to think on your feet will be key.
✨Communicate Clearly and Effectively
Since this position involves bridging gaps between tech and business stakeholders, practice explaining technical concepts in simple terms. Be ready to discuss how you’ve documented solutions and communicated with non-technical teams in previous roles.
✨Emphasise Ethical AI Practices
Familiarise yourself with responsible AI principles and be prepared to discuss how you would embed these into your work. Showing that you understand the ethical implications of AI will set you apart from other candidates and align with the company’s values.