At a Glance
- Tasks: Lead AI projects, architect solutions, and collaborate with diverse teams in finance tech.
- Company: Global finance technology consultancy with a vibrant and inclusive culture.
- Benefits: Competitive salary, private medical care, gym membership, and generous pension plan.
- Other info: Hybrid work model with excellent career growth opportunities in a dynamic environment.
- Why this job: Join a cutting-edge team and make a real impact in the financial services sector.
- Qualifications: 2.1 degree in Computer Science or related field, strong Python and AI experience.
The predicted salary is between 100000 - 125000 £ per year.
Are you an experienced Software Engineer with a strong knowledge of AI, LLMs and agentic coding? You could be progressing your career at a global finance technology consultancy, working with clients including global Investment Banks and financial services organisations.
What’s in it for you:
- Salary to £125k
- Pension, Life Assurance, Income Protection
- Private medical care for you and your family, including mental health
- Travel Insurance
- Charitable giving
- Gym membership for you and your family
Your role:
As a Lead Software Engineer you will architect AI solutions, embed them within enterprise environments and drive impactful outcomes through advanced engineering, scalable pipelines and deep cross‑functional collaboration. This is a highly technical role where you’ll be leading client projects, productionising systems and running multi-modal LLMs, using your expertise to build and deploy cutting‑edge generative AI and agentic systems across the financial services sector.
Location / WFH:
There’s a hybrid work from home policy with three days a week in the London, City office (or at client sites), you’ll join a friendly, diverse, upbeat team.
About you:
- You have achieved a 2.1 or above bachelor’s degree in Computer Science, AI or related STEM disciplines
- You have hands‑on experience deploying LLMs and multi-modal models at scale in production
- You have a strong understanding of scalable MLOps, observability and cloud‑native AI deployment
- You have strong Python coding skills and API development skills
- You’re collaborative and pragmatic with advanced stakeholder communication, problem‑solving and project management skills in Agile environments
Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques.
Apply now to find out more about this Lead Software Engineer / Developer / Consultant (Python AI LLM) opportunity.
Lead Software Engineer Python AI LLM in London employer: Client Server
Join a leading global finance technology consultancy that values innovation and collaboration, offering a vibrant work culture in the heart of London. With competitive salaries, comprehensive benefits including private medical care and gym memberships, and a strong focus on employee growth through challenging projects in AI and LLMs, this is an excellent opportunity for those looking to make a significant impact in the financial services sector while enjoying a flexible hybrid working environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Software Engineer Python AI LLM in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech and finance sectors. Attend meetups, webinars, or even casual coffee chats. 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 projects, especially those involving AI and LLMs. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to Python, AI, and MLOps. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key, so rehearse with friends or use mock interview platforms.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates. So, get clicking!
We think you need these skills to ace Lead Software Engineer Python AI LLM in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Lead Software Engineer role. Highlight your Python expertise, AI knowledge, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and LLMs, and how your background makes you the perfect fit for this role. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects:If you've worked on any projects involving LLMs or AI solutions, make sure to mention them in your application. We’re keen to see real-world examples of your work and how you've tackled challenges in the past. It’s all about demonstrating your hands-on experience!
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 don’t miss out on any important updates. Plus, it shows us you’re serious about joining our awesome team!
How to prepare for a job interview at Client Server
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with AI, LLMs, and agentic coding. Prepare to explain how you've deployed these technologies in production and the impact they had.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle some technical challenges during the interview. Think about past projects where you faced obstacles and how you overcame them. This will demonstrate your problem-solving abilities and your approach to project management.
✨Understand the Company’s Clients
Research the global investment banks and financial services organisations that the company works with. Understanding their needs and how your role as a Lead Software Engineer can contribute to their success will show your genuine interest in the position.
✨Emphasise Collaboration and Communication
Since this role involves cross-functional collaboration, be ready to discuss your experiences working in Agile environments. Highlight examples where your communication skills helped drive a project forward or resolve conflicts within a team.
