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Coltech

Data Scientist

Coltech
United Kingdom · Contract · Mid-Senior

Data Scientist (Machine Learning & Generative AI) – Contract

📍 London (Hybrid – 2 days onsite)

💼 Long-term Contract (Inside IR35)


The Opportunity

We’re hiring multiple Data Scientists to join a major, enterprise-scale programme focused on machine learning and Generative AI innovation.

This is a long-term contract opportunity where you’ll work on real-world, production-grade AI solutions, including LLM-powered applications, NLP pipelines, and emerging agentic systems.

You’ll be operating in a highly data-driven environment, solving complex business problems and delivering impactful AI use cases at scale.


Key Responsibilities

  • Build, deploy, and optimise machine learning and NLP models in production
  • Develop end-to-end data science pipelines
  • Design and prototype Generative AI solutions (LLMs, embeddings, prompt engineering)
  • Work with BigQuery ML and cloud platforms for large-scale modelling
  • Translate business challenges into scalable data solutions
  • Collaborate with cross-functional teams across engineering and business
  • Mentor junior team members where required


Required Experience

  • 10+ years in Data Science, Machine Learning, or AI Engineering
  • Strong Python skills and experience with ML frameworks
  • Proven track record delivering end-to-end ML/NLP solutions
  • Hands-on experience with Generative AI (LLMs, embeddings, prompting)
  • Experience with cloud platforms (GCP, AWS, or Azure)
  • Exposure to BigQuery ML or similar platforms


Preferred Experience

  • Background in financial services or regulated environments
  • Experience with fraud, risk, or customer analytics
  • Exposure to LLM applications or agentic AI systems
  • Mentoring or leadership experience
  • Key Skills

    Ranked by relevance

    ai machine learning cloud aws gcp
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    Posted
    Mar 18, 2026
    Type
    Contract
    Level
    Mid-Senior
    Location
    London Area
    Company
    Coltech

    Industries

    IT Services IT Consulting

    Categories

    Engineering

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