At a Glance
- Tasks: Lead AI projects, architect solutions, and deploy cutting-edge generative AI in finance.
- Company: Global finance tech consultancy with a focus on innovation.
- Benefits: Competitive salary, private medical care, gym membership, and generous pension.
- Other info: Collaborative environment with opportunities for professional growth and impactful work.
- Why this job: Join a dynamic team and shape the future of AI in financial services.
- Qualifications: Experience with LLMs, strong Python skills, and a degree in Computer Science or related field.
The predicted salary is between 100000 - 125000 £ per year.
London, Greater London | £100k - £125k 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 AI 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.
About you:
- 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
- You have achieved a 2.1 or above bachelor's degree in Computer Science, AI or related STEM disciplines
- 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 AI Engineer (Python LLM MLOps) opportunity.
Lead AI Engineer Python LLM - Tech Consultancy in London employer: Client Server Ltd.
Join a leading global finance technology consultancy in London, where you will not only advance your career as a Lead AI Engineer but also enjoy a supportive work culture that prioritises employee well-being and growth. With competitive salaries, comprehensive benefits including private medical care and gym memberships, and opportunities to work on impactful projects with top-tier clients, this role offers a unique chance to thrive in a dynamic environment while making a difference in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer Python LLM - Tech Consultancy 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 LLMs and AI solutions. 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. Practice common interview questions related to AI and Python coding. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, go ahead and hit that apply button!
We think you need these skills to ace Lead AI Engineer Python LLM - Tech Consultancy in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI, LLMs, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 your background makes you the perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills:Since this is a highly technical role, make sure to detail your hands-on experience with deploying LLMs and MLOps. We’re looking for specifics, so include any frameworks or tools you’ve worked with that are relevant to the job.
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 from our team!
How to prepare for a job interview at Client Server Ltd.
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of AI, LLMs, and MLOps. Be ready to discuss your hands-on experience with deploying LLMs and multi-modal models. Prepare examples of how you've tackled challenges in production environments.
✨Showcase Your Python Skills
Since strong Python coding skills are a must, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to API development and scalable systems.
✨Highlight Collaboration and Communication
This role requires advanced stakeholder communication and collaboration. Think of specific instances where you've worked cross-functionally or led projects in Agile environments. Be ready to share how you managed team dynamics and project outcomes.
✨Research the Company and Its Clients
Familiarise yourself with the consultancy's work with global investment banks and financial services. Understanding their client base will help you tailor your responses and show that you're genuinely interested in how you can contribute to their success.
