Senior ML Engineer for Production Models & Pipelines Remote

Clearly Jobs Ltd.; Greater London; Hybrid; GBP 96,000 - 126,000; Part time

Job summary

Clearly Jobs Ltd. is seeking an experienced Machine Learning Engineer to join a growing data team. The role focuses on developing, deploying, and optimising ML models that drive business outcomes.

You will work with stakeholders to design scalable pipelines and ensure production readiness, collaborating with data scientists, engineers, and product teams to validate and deploy models using modern ML frameworks.

Qualifications

• Strong Python and SQL skills.
• Experience building and deploying ML models in production.
• Hands-on knowledge of ML frameworks (Scikit-learn, TensorFlow, PyTorch).
• Data engineering and pipeline development experience.
• Cloud experience (AWS, Azure, or GCP).
• Strong understanding of software engineering best practices.
• Experience working in agile environments.

Responsibilities

• Design, build, and deploy machine learning models.
• Develop scalable data and feature engineering pipelines.
• Optimise model performance and production readiness.
• Work with large datasets to solve complex business challenges.
• Collaborate with Data Scientists, Engineers, and Product teams.
• Support model testing, validation, and deployment.

Skills

Python

SQL

ML in prod

Data pipelines

Cloud platforms

Agile

Tools

Scikit-learn

TensorFlow

PyTorch

AWS

Azure

GCP

Job description

Clearly Jobs Ltd. is seeking an experienced Machine Learning Engineer to join a growing data team. The role focuses on developing, deploying, and optimising ML models that drive business outcomes.

You will work with stakeholders to design scalable pipelines and ensure production readiness, collaborating with data scientists, engineers, and product teams to validate and deploy models using modern ML frameworks.