Senior Machine Learning Engineer – REMOTE UK in Oxford - CV-Library

Senior Machine Learning Engineer – REMOTE UK in Oxford - CV-Library

Senior Machine Learning Engineer – REMOTE UK in Oxford - CV-Library

Job Overview

Location
Oxford, England
Job Type
Full Time
Salary
TBC
Date Posted
2 months ago

Additional Details

Job ID
99772477
Job Views
19

Job Description

Senior Machine Learning Engineer / Lead Machine Learning Engineer – REMOTE UK

Python, AWS or Azure, deploying models

Are you ready to harness the power of AI and data science to impact industries as diverse as satellite communications, energy management, and healthcare?

My client is looking for a Senior Machine Learning Engineer to take on a key role in transforming concepts into cutting-edge solutions, directly shaping the future of advanced technologies. This is an opportunity to lead with your expertise and see your innovations thrive across multiple high-stakes projects.

Why You Should Apply

* Work at the intersection of AI, advanced mathematics, and real-world impact.

* Lead multiple projects with direct customer interaction and influence.

* Be a technical authority in a forward-thinking, collaborative environment.

* Mentorship and leadership opportunities, including developing the next generation of ML engineers.

* Flexible work arrangements with a mix of remote and office options.

* Enhanced leave benefits, mental health support, and a generous pension.

What You’ll Be Doing

* Build, train, and monitor robust machine learning pipelines.

* Lead model architecture and MLOps development across multiple platforms.

* Collaborate with consultants, engineers, and customers on cutting-edge projects.

* Drive model trustworthiness through confidence quantification and explainability.

* Mentor and lead teams, fostering innovation and growth.

About You

* Be able to do the job as described.

* Expertise in Python, MLOps, and cloud services.

* Comfortable managing multiple, complex projects simultaneously.

* A technical leader who can guide both clients and team members.

* Experience in confidence quantification and model explainability.

* Demonstrable experience in AWS or Azure

Please apply via the link for immediate consideration

Location

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