Senior Data Scientist / ML Engineer - Generative AI & NLP

Coltech; Manchester; Hybrid; GBP 90,000 - 120,000; Part time

Job summary

Coltech is seeking an experienced Senior Data Scientist / ML Engineer to join our Data & AI team in Manchester. You will develop and evaluate ML, NLP and Generative AI solutions across the full data science lifecycle and work with stakeholders to deliver practical business outcomes.

You will mentor junior teammates, produce governance documentation and collaborate with ML Engineers and Data Engineers to transition analytics into production within a hybrid environment.

Qualifications

• 10+ years in Data Science, ML Engineering or related field.
• Proven Python and modern data science libraries experience.
• Experience with NLP, generative AI, embeddings and prompting.
• Hands-on ML model development, evaluation and governance.
• Strong communication with technical and non-technical stakeholders.

Responsibilities

• Translate business challenges into data science problems and ML solutions.
• Develop, train, validate and optimise ML/NLP models using Python.
• Build end-to-end modelling pipelines: data prep, training, validation, evaluation, deployment handover.
• Use BigQuery and BigQuery ML for large-scale experimentation and development.
• Prototype Generative AI/LLM solutions and design robust evaluation frameworks.
• Create model cards, documentation and governance evidence; mentor juniors.

Skills

Python

NLP

Generative AI

LLMs

RAG

BigQuery

BigQuery ML

MLOps

Stakeholder communication

Mentoring

Tools

Vertex AI

Google Cloud

Job description

Coltech is seeking an experienced Senior Data Scientist / ML Engineer to join our Data & AI team in Manchester. You will develop and evaluate ML, NLP and Generative AI solutions across the full data science lifecycle and work with stakeholders to deliver practical business outcomes.

You will mentor junior teammates, produce governance documentation and collaborate with ML Engineers and Data Engineers to transition analytics into production within a hybrid environment.