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- Tasks: Lead AI-driven software solutions for a major pensions client using Python and cloud technologies.
- Company: Leading financial services technology consultancy with a focus on innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic Agile team with excellent career advancement opportunities.
- Why this job: Shape the future of AI in engineering while making a real impact in finance.
- Qualifications: 10 years of Python experience and expertise in AI tooling and financial modelling.
The predicted salary is between 80000 - 100000 £ per year.
6 Month Contract Remote
Overview
I’m currently working with a leading financial services technology consultancy that is looking to bring in an experienced AI Platform Lead to support the delivery of modern software solutions for a major pensions client. This role sits at the intersection of financial modelling, cloud engineering, and AI-driven development, supporting the evolution of platforms used for forward-looking financial analysis, including discounted cashflow projections and Monte Carlo simulations. This is a hands‑on leadership role, combining deep Python engineering expertise with ownership of AI‑assisted and agentic development practices. You’ll play a key role in shaping how modern AI tooling is embedded into engineering workflows across the platform.
Role & Responsibilities
- Leading the adoption and evolution of AI‑assisted and agentic engineering workflows across the development lifecycle
- Remaining hands‑on with Python‑led development within a modern Azure‑based cloud environment
- Contributing to platforms supporting financial modelling and forward‑looking analytics, including discounted cashflow projections and Monte Carlo simulations
- Evaluating and implementing AI development tooling (e.g. Claude Code, Codex, GitHub Copilot, OpenCode, Conductor) to improve engineering productivity and quality
- Acting as a technical lead and SME within the team, setting standards and guiding best practice
- Working within an Agile delivery environment, contributing to stand‑ups, sprint planning and retrospectives
- Collaborating closely with engineers, stakeholders, and clients to deliver high‑quality solutions
- Supporting day‑to‑day delivery and proactively helping to resolve blockers
- Contribute to solution design and architectural decisions
Skills and Experience
- 10 years Python development experience, with a strong track record in building scalable systems
- Strong experience working within Azure‑based cloud environments
- Proven experience developing with or implementing AI agentic tooling, such as Claude Code, Codex, GitHub Copilot, OpenCode, Conductor or similar
- Experience working within Financial Services, ideally with exposure to financial modelling systems
- Strong understanding of forward‑looking modelling approaches, such as discounted cashflow projections or Monte Carlo simulations
- Experience operating in a senior or lead engineering capacity within modern Agile teams
- Strong communication skills with the ability to engage effectively with both technical and non-technical stakeholders
Team Lead - AI Platform Lead / Python in London employer: Intec Select
Contact Detail:
Intec Select Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Team Lead - AI Platform Lead / Python in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services and tech world. Let them know you're on the lookout for opportunities, especially roles that involve AI and Python. You never know who might have the inside scoop on a job opening!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your Python projects, especially those related to AI and financial modelling. 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 technical knowledge and soft skills. Be ready to discuss your experience with Azure, AI tooling, and Agile methodologies. Practice common interview questions and think about how your past experiences align with the role.
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way!
We think you need these skills to ace Team Lead - AI Platform Lead / Python in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your Python development expertise and any relevant experience with AI tooling and financial modelling. We want to see how you fit into our world!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Team Lead role. Share specific examples of your leadership in AI-driven projects and how you've tackled challenges in Agile environments. Let us know what excites you about this opportunity!
Showcase Your Projects: If you've worked on any projects that align with the responsibilities listed, make sure to mention them. Whether it's implementing AI tools or developing scalable systems, we love seeing real-world applications of your skills. Don't hold back!
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 makes the process smoother for everyone involved!
How to prepare for a job interview at Intec Select
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any AI tooling mentioned in the job description, like Claude Code or GitHub Copilot. Be ready to discuss how you've used these technologies in past projects, especially in financial modelling.
✨Show Your Leadership Skills
Since this is a Team Lead role, be prepared to share examples of how you've led teams in Agile environments. Talk about how you've guided best practices and resolved blockers, as well as how you’ve collaborated with both technical and non-technical stakeholders.
✨Understand the Financial Context
Familiarise yourself with financial modelling concepts like discounted cashflow projections and Monte Carlo simulations. Being able to speak knowledgeably about these topics will show that you understand the business side of the role.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current projects, team dynamics, and how they envision the evolution of AI-assisted workflows. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.