Graduate Machine Learning Engineer - £30,000

JR United Kingdom; Newcastle upon Tyne; On-site; GBP 30,000; Full time

Job summary

A leading AI company is seeking Graduate Machine Learning Engineers for an exciting role based in Newcastle-upon-Tyne. The position offers a competitive salary of £30,000, with responsibilities including implementing AI techniques, conducting data analysis, and creating visual reports. Graduates with a passion for machine learning are encouraged to apply.

Qualifications

• Foundational knowledge of diverse machine learning techniques required.
• Strong analytical skills for exploratory data analysis.
• Ability to create clear reports and visualizations.

Responsibilities

• Support AI/ML techniques implementation across product lines.
• Conduct exploratory data analysis to identify trends and anomalies.
• Assist in Proof of Concept projects by analyzing data outputs.

Skills

Machine Learning Techniques

Data Analysis

AI Techniques

Data Visualization

Job description

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Graduate Machine Learning Engineer - £30,000, Newcastle-upon-Tyne, Tyne and Wear

Client:

Location:

Newcastle-upon-Tyne, Tyne and Wear, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

2

Posted:

10.06.2025

Expiry Date:

25.07.2025

Job Description:

Edinburgh based role, with one day a week remote/home working and the rest in the office.

Paying up to £30,000 basic

IMPORTANT PLEASE READ - Aiming for candidates to have a START DATE between July & August

We are looking for several passionate & enthusiastic Graduate Machine Learning Engineers to start between the end of June and end of August at an exciting AI company in Edinburgh.

Responsibilities include:

• Possess foundational knowledge of a diverse range of machine learning techniques suitable for various data shapes and types.
• Support the implementation and application of cutting-edge AI/ML techniques across multiple product lines, contributing to product enhancement.
• Conduct exploratory data analysis to identify trends, patterns, and anomalies.
• Assist in the preparation and execution of Proof of Concept (PoC) projects by analyzing data outputs and assessing model performance.
• Create clear, data-driven reports and visualizations to communicate findings to technical and non-technical audiences.
• Contribute to automating data analysis workflows to streamline reporting and validation processes.