Lorien

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a 6-month contract, paying "competitive rate," based in London (Hybrid). Key skills include Python, LLM systems, AI agents, and cloud deployment. A Master's in a relevant field is required.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
April 11, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Outside IR35
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Deployment #AI (Artificial Intelligence) #Cloud #Classification #Azure #FastAPI #Data Science #SaaS (Software as a Service) #GCP (Google Cloud Platform) #Computer Science #Datasets #"ETL (Extract #Transform #Load)" #Forecasting #Langchain #ML (Machine Learning) #Python #Scala #AWS (Amazon Web Services)
Role description
Data Scientist / Machine Learning Scientist - Outside IR35 Location: London (Hybrid) Length: 6 months Ready to build and deploy real AI systems at scale? Join a growing AI teams, where you’ll shape how AI transforms global business. We’re hiring hands-on operators who deliver production-ready LLM and agentic solutionsβ€”not just prototypes. What You’ll Do: β€’ Design and build AI agents and agentic workflows powered by LLMs (retrieval, reasoning, tool orchestration) β€’ Develop multi-step intelligent systems for planning, memory, and real-world tool usage β€’ Deliver recommendation, classification, and forecasting systems on large-scale datasets β€’ Automate complex workflows and decision-making, driving measurable business impact β€’ Own problems end-to-end: from exploration to production deployment and iteration β€’ Integrate AI into products, APIs, and business processes for scalable, reliable solutions β€’ Collaborate with engineering to ensure robust, observable, and maintainable systems What You’ll Bring: β€’ Strong Python skills and production-grade coding experience β€’ Proven track record shipping LLM-powered systems (LangChain/LangGraph or similar) into production β€’ Hands-on experience with AI agents, agentic workflows, and multi-step reasoning β€’ Experience designing and implementing RAG systems with real-world impact β€’ Familiarity with MCP or similar orchestration patterns (FastMCP/FastAPI) β€’ Understanding of LLM limitations and trade-offs (hallucination, latency, cost) β€’ Cloud deployment experience (AWS, GCP, Azure) β€’ Masters or higher in Maths, Science, or Computer Science β€’ Ownership mindset, bias for action, and strong product focus β€’ Comfortable in fast-moving, ambiguous environments Bonus Points: β€’ Experience with SaaS/B2B AI products or AI-driven business transformation β€’ Background in high-growth/scaling environments β€’ Evidence of systems delivering real value in production