At a Glance
- Tasks: Design and build cutting-edge AI tools and secure integrations for enterprise systems.
- Company: Join a leading tech firm in London focused on innovative AI solutions.
- Benefits: Competitive daily rates, flexible work environment, and opportunities for professional growth.
- Other info: Collaborate across teams in a modern engineering environment.
- Why this job: Shape the future of enterprise AI in a dynamic, engineering-driven team.
- Qualifications: Strong Python skills and experience with LLMs and AI tooling frameworks.
The predicted salary is between 72000 - 108000 £ per year.
Role: Senior ML Engineer - Agentic AI Platforms
Location: London (3 days a week onsite)
Rates: Up to 900 p/d DOE (Inside IR35)
I'm looking for an experienced ML Engineer to join a central AI engineering function responsible for building and scaling enterprise‑grade agentic AI capabilities across a global organisation. This team owns the core AI enablement platform used internally to support AI agents, orchestration workflows, knowledge retrieval, and secure tool integration at scale. The environment is highly engineering‑focused, combining platform thinking with hands‑on AI delivery.
The role will involve designing and building MCP servers, AI tools, orchestration skills, and secure API integrations that expose enterprise systems safely to LLM‑powered agents. You'll also contribute to agent planning, tool‑calling frameworks, RAG architecture, and the broader developer experience for internal AI platform adoption.
Key requirements:
- Strong Python engineering experience
- Experience with LLMs, AI agents, and agentic reasoning patterns
- FastAPI and REST API development
- RAG and prompt engineering experience
- Kubernetes/containerisation knowledge
- Exposure to MCP or similar AI tooling frameworks
- Ability to work across platform and product engineering teams
This is an opportunity to help shape the future of enterprise AI infrastructure within a large‑scale, modern engineering environment focused on governance, scalability, and production‑quality AI systems.
If interested, please reach out to Fintan at TEC Partners.
ML Engineer. Job in London LilyLifestyle Jobs employer: United Cerebral Palsy of Georgia
Join a forward-thinking organisation in London as a Senior ML Engineer, where you'll be part of a dynamic team dedicated to pioneering enterprise-grade AI solutions. With a strong emphasis on engineering excellence and innovation, the company fosters a collaborative work culture that encourages professional growth and development. Enjoy the unique advantage of working in a vibrant city while contributing to cutting-edge projects that shape the future of AI technology.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer. Job in London LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 related to ML and AI. This is your chance to demonstrate your Python prowess and experience with LLMs and APIs.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and real-world problem-solving scenarios. Practice explaining your thought process clearly, as communication is key in engineering roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace ML Engineer. Job in London LilyLifestyle Jobs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the ML Engineer role. Highlight your Python engineering experience and any work you've done with LLMs or AI agents. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects that demonstrate your experience with FastAPI, REST API development, and Kubernetes. We love seeing real-world applications of your skills, so don’t hold back on the details!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about AI and how you can contribute to our team. We’re keen to know what excites you about this role and our mission at StudySmarter.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with LLMs and AI agents. Prepare to explain how you've used FastAPI and REST APIs in past projects, as well as any hands-on experience with Kubernetes or containerisation.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle some technical challenges during the interview. Think about how you would approach designing and building MCP servers or integrating secure APIs. Use examples from your previous work to demonstrate your problem-solving abilities and engineering mindset.
✨Understand the Company’s Vision
Research LilyLifestyle and their approach to AI. Familiarise yourself with their core AI enablement platform and how it supports enterprise systems. Showing that you understand their goals and how you can contribute will set you apart from other candidates.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team dynamics, the engineering environment, and the specific challenges they face with AI integration. This not only shows your interest but also helps you gauge if the role is the right fit for you.
