At a Glance
- Tasks: Join our AI team to build and operate cutting-edge agentic AI platforms.
- Company: LSEG, a leader in financial technology with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on collaboration and career advancement.
- Why this job: Make a real impact by scaling high-quality AI capabilities across the enterprise.
- Qualifications: Strong Python skills and experience with LLM frameworks and API design.
The predicted salary is between 80000 - 100000 £ per year.
Responsibilities
- The Corporate Engineering AI team is the central enablement and platform delivery function for LSEG’s internal agentic AI ecosystem.
- The team’s mission is to scale safe, high‑quality AI capabilities across the enterprise by providing shared platforms, patterns, governance, and delivery support.
- CE AI owns and operates core AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway.
- Rather than delivering individual business use cases end‑to‑end, the team enables product engineering groups across LSEG to expose knowledge, data, and actions to AI agents in a consistent, governed, and repeatable way.
- The team operates a Central MCP Delivery model: building critical MCP tools and services “for” product teams where required, while simultaneously defining standards, patterns, and platform capabilities that allow teams to progressively move towards self‑service contribution.
- This programme delivers an LSEG‑owned, production‑grade agentic AI platform with MCP as its extensibility layer.
- Building and operating LSEG AI Assist, an in‑house agentic experience capable of reasoning, planning, and tool‑calling.
- Operating QAS, the enterprise RAG and search layer used to ground agent responses in approved data sources.
- Delivering a production Internal MCP Gateway providing discovery, security, policy enforcement, observability, and lifecycle management for MCP tools and Skills.
- Designing and building MCP servers and Skills that expose internal and vendor systems safely to agents.
- Establishing evaluation, quality control, and governance mechanisms so MCP tools and Skills can be promoted through PTB/PTO and operated with confidence at scale.
Qualifications
- Strong Python development experience.
- Hands‑on experience with LLM and agent frameworks and agentic reasoning patterns.
- Practical understanding of Model Context Protocol (MCP), including server and tool patterns.
- FastAPI and REST API design and implementation experience.
- Experience with prompt engineering and RAG‑based architectures.
- Containerisation and Kubernetes‑based deployment experience.
- Ability to work across platform, product, and governance boundaries in an enterprise environment.
Senior AI Platform Engineer - Agentic ML & MCP Tools employer: London Stock Exchange
The London Stock Exchange is an exceptional employer, offering a dynamic work environment that fosters collaboration and innovation. With a strong focus on employee growth, we provide ample opportunities for professional development and career advancement, all while being part of a prestigious institution located in the heart of London. Our inclusive culture values diverse perspectives, ensuring that every team member can contribute meaningfully to our mission of driving brand impact and achieving outstanding results.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Platform Engineer - Agentic ML & MCP Tools
✨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 London Stock Exchange 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 London Stock Exchange.
✨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 London Stock Exchange.
✨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 London Stock Exchange 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 Senior AI Platform Engineer - Agentic ML & MCP Tools
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 London Stock Exchange.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at London Stock Exchange 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 London Stock Exchange
✨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 London Stock Exchange 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.
