Cititec Talent

Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer on a 6-month contract in London, offering £850/day. Key skills include strong Python development, experience with LLMs, REST APIs (FastAPI), and containerization. Familiarity with MCP and agentic reasoning is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
850
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🗓️ - Date
May 9, 2026
🕒 - Duration
More than 6 months
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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
#Deployment #ML (Machine Learning) #Python #REST (Representational State Transfer) #REST API #Documentation #API (Application Programming Interface) #FastAPI #Kubernetes #AI (Artificial Intelligence)
Role description
Machine Learning/AI Engineer | £850/day Inside IR35 | 6-month initial contract | London Industry: Technology Location: London Job Type: Contract - 6-month initial This programme delivers a production-grade enterprise agentic AI platform, with MCP as the extensibility layer. Responsibilities • Design and build MCP servers and tools that expose enterprise systems and workflows to AI agents. • Implement Skills that combine tools, data, and reasoning into structured, repeatable, and governed workflows. • Contribute to the internal AI assistant’s agentic framework, including planning, tool invocation, and orchestration logic. • Develop secure API wrappers for systems that lack appropriate authentication, authorisation, or entitlement mechanisms. • Work closely with product engineering teams in a “build-for” model, transferring knowledge and establishing reusable engineering patterns. • Shape the developer experience for MCP and Skills, including templates, contribution standards, and documentation. • Collaborate with Quality Engineering and SRE teams to ensure solutions meet requirements for reliability, governance, and operational readiness. Skills & Experience Required • Strong Python development experience in production environments. • Hands-on experience with LLMs, agent frameworks, and agentic reasoning patterns. • Practical understanding of Model Context Protocol (MCP), including tool and server design patterns. • Experience building REST APIs, ideally using FastAPI. • Familiarity with prompt engineering and retrieval-augmented generation (RAG) architectures. • Experience with containerisation and Kubernetes-based deployment environments. • Ability to operate across platform, product, and governance boundaries in large enterprise settings.