TEC Partners - Technical Recruitment Specialists

Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior ML Engineer in London (3 days onsite) with a contract length of "unknown" and pay rate up to £850 p/d (Inside IR35). Key skills include Python, LLMs, FastAPI, REST API, and Kubernetes.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
848
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🗓️ - Date
June 9, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#API (Application Programming Interface) #Python #Kubernetes #REST (Representational State Transfer) #Scala #AI (Artificial Intelligence) #ML (Machine Learning) #REST API #FastAPI
Role description
Role: Senior ML Engineer — Agentic AI Platforms Location: London (3 days a week onsite) Rates: Up to £850 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.