At a Glance
- Tasks: Design and build cutting-edge AI tools and secure integrations for enterprise systems.
- Company: Join a leading AI engineering team in a dynamic London environment.
- Benefits: Competitive daily rates, flexible work arrangements, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on governance and scalability.
- Why this job: Shape the future of enterprise AI and work with innovative technologies.
- Qualifications: Strong Python skills and experience with LLMs and AI tooling frameworks.
The predicted salary is between 63000 - 72000 £ per year.
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.
Senior ML Engineer - Agentic AI Platforms. 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 Senior ML Engineer - Agentic AI Platforms. Job in London LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can sometimes lead to insider info or even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, LLMs, and AI tools. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to FastAPI, REST APIs, and Kubernetes. Practising coding challenges can also help you feel more confident when it’s time to shine.
✨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 Senior ML Engineer - Agentic AI Platforms. Job in London LilyLifestyle Jobs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your strong Python engineering experience and any relevant work with LLMs and AI agents. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about agentic AI platforms and how your experience with FastAPI and REST API development makes you a perfect fit for our team.
Showcase Your Projects:If you've worked on any projects involving Kubernetes or MCP frameworks, make sure to mention them! We love seeing practical examples of your work that demonstrate your ability to contribute to our AI enablement platform.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen to join our team!
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 illustrate your problem-solving process.
✨Understand the Company’s Vision
Research the company’s goals regarding AI infrastructure and how they plan to scale their agentic AI capabilities. This will help you align your answers with their vision and demonstrate that you're genuinely interested in contributing to their mission.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team dynamics, the engineering environment, and the specific challenges they face with AI platform adoption. This shows that you’re not just focused on getting the job but are also keen on understanding how you can make a real impact.
