

Coltech
Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist specializing in AI, offering a long-term contract in London, Manchester, or Edinburgh. Key skills include advanced Python, Machine Learning frameworks, and experience with Generative and Agentic AI.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
Unknown
-
ποΈ - Date
May 12, 2026
π - Duration
More than 6 months
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
London Area, United Kingdom
-
π§ - Skills detailed
#Monitoring #Strategy #Data Analysis #Datasets #Langchain #ML (Machine Learning) #PyTorch #Data Pipeline #Data Manipulation #Data Science #Cloud #GCP (Google Cloud Platform) #Statistics #Azure #Databases #AI (Artificial Intelligence) #Deployment #AWS (Amazon Web Services) #TensorFlow #Model Deployment #"ETL (Extract #Transform #Load)" #Scala #SQL (Structured Query Language) #Python
Role description
Data Scientist β AI / Agentic AI
London | Manchester | Edinburgh
Long-Term Contract
Weβre currently hiring experienced Data Scientists for a major enterprise AI transformation programme focused on Generative AI, Agentic AI, Machine Learning, and advanced analytics.
This is a long-term contract opportunity working on cutting-edge AI initiatives across large-scale enterprise environments.
Responsibilities
β’ Build and deploy Machine Learning and AI models
β’ Develop solutions using Generative AI and Agentic AI frameworks
β’ Analyse complex datasets to deliver actionable insights
β’ Work with structured and unstructured data sources
β’ Develop scalable data pipelines and AI workflows
β’ Collaborate with engineering, architecture, and business teams
β’ Support model deployment, optimisation, and monitoring in production
β’ Contribute to AI strategy and innovation initiatives
Required Skills
β’ Strong commercial experience in Data Science / Machine Learning
β’ Advanced Python skills with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch
β’ Experience with LLMs, Generative AI, RAG, or Agentic AI solutions
β’ Strong SQL and data manipulation experience
β’ Experience working with cloud platforms (AWS, Azure, or GCP)
β’ Understanding of statistics, predictive modelling, and data analysis
β’ Excellent communication and stakeholder engagement skills
Desirable
β’ Experience with LangChain, CrewAI, AutoGen, or similar frameworks
β’ MLOps / CI-CD experience
β’ Vector databases and semantic search knowledge
β’ Enterprise-scale AI project experience
Data Scientist β AI / Agentic AI
London | Manchester | Edinburgh
Long-Term Contract
Weβre currently hiring experienced Data Scientists for a major enterprise AI transformation programme focused on Generative AI, Agentic AI, Machine Learning, and advanced analytics.
This is a long-term contract opportunity working on cutting-edge AI initiatives across large-scale enterprise environments.
Responsibilities
β’ Build and deploy Machine Learning and AI models
β’ Develop solutions using Generative AI and Agentic AI frameworks
β’ Analyse complex datasets to deliver actionable insights
β’ Work with structured and unstructured data sources
β’ Develop scalable data pipelines and AI workflows
β’ Collaborate with engineering, architecture, and business teams
β’ Support model deployment, optimisation, and monitoring in production
β’ Contribute to AI strategy and innovation initiatives
Required Skills
β’ Strong commercial experience in Data Science / Machine Learning
β’ Advanced Python skills with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch
β’ Experience with LLMs, Generative AI, RAG, or Agentic AI solutions
β’ Strong SQL and data manipulation experience
β’ Experience working with cloud platforms (AWS, Azure, or GCP)
β’ Understanding of statistics, predictive modelling, and data analysis
β’ Excellent communication and stakeholder engagement skills
Desirable
β’ Experience with LangChain, CrewAI, AutoGen, or similar frameworks
β’ MLOps / CI-CD experience
β’ Vector databases and semantic search knowledge
β’ Enterprise-scale AI project experience






