La Fosse

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position for a 6-month contract in London, offering £575 per day. Key skills include Python, LLM deployment, and experience with AWS, Azure, or GCP. Proven experience in production AI systems is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
575
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🗓️ - Date
May 8, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#AWS (Amazon Web Services) #GCP (Google Cloud Platform) #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #SaaS (Software as a Service) #Azure #Scala #Data Science #FastAPI #Langchain #Cloud #Python
Role description
🚨 CONTRACT OPPORTUNITY – DATA SCIENTIST 🚨 📍 London (Hybrid) 🏢 FTSE 100 Business 💰 £575 per day 🧾 Outside IR35 📆 6-Month Initial Contract A leading FTSE 100 organisation is building out multiple AI teams focused on both AI product development and enterprise-wide AI transformation initiatives. This is a production-first environment focused on deploying AI systems that are actively used, trusted, and continuously improved - not experimental proof-of-concepts. Candidates should have proven experience building and deploying real-world LLM and agentic systems into production environments at scale. Key Responsibilities: • Designing and building AI agents and agentic workflows powered by LLMs • Developing multi-step intelligent systems incorporating reasoning, planning, memory, and tool orchestration • Building and improving RAG pipelines and retrieval systems • Working with MCP-style architectures / FastMCP / FastAPI • Automating complex workflows and decision-making processes using AI • Deploying scalable AI systems into production cloud environments Required Experience: • Strong Python engineering skills with production-grade coding standards • Proven experience shipping LLM-powered applications into production • Hands-on experience with LangChain / LangGraph or similar frameworks • Experience building AI agents with orchestration and tool usage • Strong understanding of RAG architectures and LLM trade-offs • Experience deploying systems across AWS, Azure, or GCP • Strong product mindset with a bias toward delivery and impact Additional Desirable Experience: • SaaS or B2B AI product environments • High-growth or scaling businesses • Evidence of AI systems actively delivering measurable business value