4 of 4 Permanent MLOps Jobs in Lancashire

AI Engineer

Hiring Organisation
Harnham - Data & Analytics Recruitment
Location
Manchester, Lancashire, England, United Kingdom
Employment Type
Full-Time
Salary
£70,000 - £80,000 per annum
into products and decision-making. Responsibilities Build and maintain end-to-end AI/ML pipelines Develop, deploy and monitor machine learning models Apply MLOps best practices including CI/CD Collaborate with data, analytics and engineering teams Ensure data governance, security and responsible AI Experience Strong experience ...

Data Scientist

Hiring Organisation
MRA Search
Location
Preston, Lancashire, UK
Employment Type
Full-time
workflows (no legal background required) Bonus experience: • NLP on long-form or structured documents • LangChain/LangGraph, LlamaIndex, Hugging Face • Cloud (AWS/Azure), MLOps, vector databases • Experience in fast-paced AI environments or start ...

Senior Data Scientist SME & AI Architect

Hiring Organisation
Information Tech Consultants
Location
Preston, Lancashire, UK
Employment Type
Full-time
Consulting & Mentorship: Act as the internal authority and consultant, providing technical guidance, architectural review, and mentorship to junior data scientists and engineering teams. MLOps & Governance: Establish best practices for MLOps, model monitoring, version control, and model risk governance in a multi-cloud production environment. Required Skills and Expertise (10+ Years ...

Artificial Intelligence Engineer

Hiring Organisation
Innova Recruitment
Location
Preston, Lancashire, UK
Employment Type
Full-time
research and implementation, taking models from concept to production, setting technical standards and supporting junior engineers. The role involves close collaboration with the AI, MLOps and Data Engineering teams, contributing to the wider technical strategy and ensuring models are reliable, maintainable and scalable. Key Responsibilities Design and develop … Carry out analysis to understand model behaviour, drift and explainability. Build and maintain tools for evaluation, prompt testing and dataset preparation. Work with the MLOps engineer to deploy, monitor and retrain models in production. Support CI/CD processes for AI, including version control, reproducibility and rollback workflows. Provide mentorship ...