Machine Learning Engineer - AI - MLOps in Newcastle upon Tyne - Xpertise Recruitment

Job Overview

Location
Newcastle upon Tyne, England
Job Type
Full Time
Salary
TBC
Date Posted
11 days ago

Additional Details

Job ID
98989426
Job Views
3

Job Description

Job Description Xpertise is seeking two talented Machine Learning Engineers to join an esteemed team in Newcastle. As part of our client's growing engineering division, you will play a pivotal role in designing, implementing, and optimising machine learning models and data pipelines. With a strong emphasis on AWS technologies and MLOps practices, you'll have the opportunity to contribute to the development of scalable, production-grade solutions that drive business value.

Key details

Salary: £55,000-95,000 (Mid-Lead)
I'd consider experienced contractors with a rate of £400.00 per day (Outisde IR35)
Benefits: 10-25% bonus + healthcare + 10% pension
Location: Newcastle or Birmingham; can be remote-based, hybrid working or office-based

Key experience desired / what you will learn:

Experience developing, deploying, and maintaining machine learning models in production environments.
AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes)
Familiarity with MLOps / DevOps concepts and practices, including version control, CI/CD, and model monitoring.
Proficiency in Python and relevant data manipulation and analysis libraries (e.g., pandas, NumPy).
Experience with distributed computing frameworks like Apache Spark is a plus.
Apache Spark and Airflow would be a bonus.

Role overview:
If you're looking to work with a team of ambitious software engineers, talented senior leaders all while working with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machine learning work, so it's a great time to join.

Interested? Please apply with your CV and/or message Billy Hall for further details.

Xpertise acts as an employment agency.

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