Data Scientist / Machine Learning Scientist
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 solutions-not just prototypes.
What You'll Do:
- Design and build AI agents and agentic workflows powered by LLMs (retrieval, reasoning, tool orchestration)
- Develop multi-step intelligent systems for planning, memory, and real-world tool usage
- Deliver recommendation, classification, and forecasting systems on large-scale datasets
- Automate complex workflows and decision-making, driving measurable business impact
- Own problems end-to-end: from exploration to production deployment and iteration
- Integrate AI into products, APIs, and business processes for scalable, reliable solutions
- Collaborate with engineering to ensure robust, observable, and maintainable systems
What You'll Bring:
- Strong Python skills and production-grade coding experience
- Proven track record shipping LLM-powered systems (LangChain/LangGraph or similar) into production
- Hands-on experience with AI agents, agentic workflows, and multi-step reasoning
- Experience designing and implementing RAG systems with real-world impact
- Familiarity with MCP or similar orchestration patterns (FastMCP/FastAPI)
- Understanding of LLM limitations and trade-offs (hallucination, latency, cost)
- Cloud deployment experience (AWS, GCP, Azure)
- Masters or higher in Maths, Science, or Computer Science
- Ownership mindset, bias for action, and strong product focus
- Comfortable in fast-moving, ambiguous environments
Bonus Points:
- Experience with SaaS/B2B AI products or AI-driven business transformation
- Background in high-growth/scaling environments
- Evidence of systems delivering real value in production
Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
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