4 of 4 Remote/Hybrid MLOps Jobs in Manchester

Senior Data Scientist

Hiring Organisation
Harnham
Location
Manchester, England, United Kingdom
LLMs, NLP, or retrieval‐augmented workflows. • Confident working with large‐scale tabular datasets and complex data environments. • Cloud experience, ideally AWS, plus familiarity with MLOps practices. • Background in product‐focused environments or consultancy. • Ability to evidence measurable business impact from previous technical projects. What They Offer • Hybrid working with ...

MLOps Engineer (Remote)

Hiring Organisation
Joveo Ai
Location
Altrincham, Greater Manchester, United Kingdom
predictive analytics — helping the world's largest employers find the right people, faster and fairer. But we're not done. Not even close. Role: MLOps Engineer Location: Remote Industry: Technology/AI & ML Infrastructure Job Function: MLOps/ML Platform Engineering Role Overview: We are hiring an MLOps Engineer ...

Senior Machine Learning Engineer

Hiring Organisation
Vermelo
Location
Manchester, North West, United Kingdom
Employment Type
Permanent, Work From Home
Tune machine learning methods to best leverage our state-of-the-art processing capabilities Deploy and maintain machine learning methods in a DevOps/MLOps based machine learning environment Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards Your work will … Director of Technical Underwriting Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software. Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible. ...

Graduate Machine Learning Engineer

Hiring Organisation
Vermelo RPO
Location
Manchester, Lancashire, England, United Kingdom
Employment Type
Full-Time
Salary
Salary negotiable
learning engineer, you will work with and under the expert supervision of machine learning engineers to help build and maintain the pricing team’s MLOps and ML Lifecycle environment and support the creation of pipelines by automating the sophisticated machine learning models and processes that underpin our market-leading technical … modelling and pricing function. Key Responsibilities: Build an MLOps/DevOps environment to support machine learning automation. Build the pipelines that automate the regular model update and monitoring processes. Work with the Technical Underwriting machine learning engineers to develop, implement, and maintain scalable and processes and codebase that facilitate efficient ...