Engineering Team Lead AI Python

Engineering Team Lead AI Python

Full-Time 67500 - 82500 £ / year (est.) Remote
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At a Glance

  • Tasks: Lead an Agile team to develop AI-driven software solutions and mentor engineers.
  • Company: Global tech company focused on data-centric software for major organisations.
  • Benefits: Competitive salary up to £100k, unlimited holiday, flexible working, and private medical insurance.
  • Other info: Work from home most of the time with excellent career growth opportunities.
  • Why this job: Make a real impact in AI while leading a dynamic team and shaping technical direction.
  • Qualifications: Experience in leading teams, strong Python skills, and knowledge of AI applications.

The predicted salary is between 67500 - 82500 £ per year.

Engineering Team Lead (AI Python) London / WFH to 100k Are you a technology leader with a strong knowledge of AI?You could be progressing your career in an impactful Engineering Team Lead position at a global tech company that provide data centric software solutions to major blue-chip and government organisations to enable them to discover and analyse data and customer feedback as they introduce new AI services to the product.

As an Engineering Team Lead you'll lead a cross functional Agile team of up to four engineers, working closely with Product, UX and QA to deliver the product roadmap and shape the technical direction of the platform.

This is a hands-on leadership role where you'll balance development with technical strategy, team management and mentoring, remaining close to the code while supporting your team to deliver.

You'll drive cloud first engineering across an Azure based platform, using Python / Fast API, React / Type Script, Postgre SQL, Mongo DB and a multi-provider LLM stack including Open AI, Gemini and Anthropic.

You'll champion high quality, scalable and cost effective engineering, embedding automated testing and CI/CD while ensuring the responsible and secure use of AI and real respondent data.

You'll also work directly with customers to understand their needs and translate them into product improvements.

Location / WFH: You can work from home most of the time, meeting up with colleagues in the Central London office twice a week with flexible hours.

About you: You have experience of leading and mentoring engineering teams, providing technical guidance, setting objectives and supporting individual development You have a hands-on approach to leadership, remaining close to the code while taking ownership of team performance, technical direction and delivery You have strong Python experience and knowledge of modern asynchronous web frameworks You have hands-on experience building LLM powered applications, including prompt design, multi-provider integration and agent orchestration (e. g.

Lang Chain or Lang Graph)You have strong Postgre SQL skills, and are familiar with Mongo DB and Redis You're comfortable using AI assisted development tools such as Claude Code, Cursor or Git Hub Copilot You're adaptable and comfortable working in a fast moving environment with evolving priorities, with a genuine enthusiasm for learning new technologies and AI tooling What's in it for you: As a Engineering Team Lead you'll earn a competitive package: Salary to 100k Bonus Unlimited holiday allowance Flexible working (x2 days a week in London)Private medical insurance as well as well-being benefits Pension and Life Assurance Committees for wellness, charity and volunteering, DE&ITeam and company socials Apply now to find out more about this Engineering Team Lead opportunity.

Engineering Team Lead AI Python employer: Client Server

Join a dynamic and innovative FinTech company that values technical expertise and offers a collaborative work culture. With a competitive salary of up to £100k plus bonuses, you'll have the opportunity to make a significant impact while enjoying hybrid working arrangements in London. The company prioritises employee growth, providing ample opportunities for career progression and staying at the forefront of emerging technologies in the finance sector.

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Contact Details:

Client Server Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Engineering Team Lead AI Python

✨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 Client Server 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

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Client Server.

✨Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Client Server.

✨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 Client Server 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 Engineering Team Lead AI Python

AI Knowledge
Leadership
Mentoring
Python
FastAPI
React
TypeScript

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 Client Server.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Client Server 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 Client Server

✨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 Client Server 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.