Graduate Machine Learning Engineer - £30,000

JR United Kingdom; Norwich; Hybrid; GBP 25,000 - 30,000; Full time

Job summary

A leading company seeks Graduate Machine Learning Engineers for an Edinburgh-based role with one day remote work weekly. Candidates will apply their knowledge in AI and machine learning to enhance product offerings. Responsibilities include data analysis, reporting, and automating workflows, perfect for enthusiastic graduates looking to start their careers.

Qualifications

• Passion for AI, ML, and data analysis.
• Experience with Python and SQL.
• Strong mathematical background.

Responsibilities

• Applying various machine learning techniques.
• Performing exploratory data analysis.
• Preparing reports and visualizations.

Skills

Artificial Intelligence

Machine Learning

Mathematics

Data Analysis

Python

Git

SQL

BI Tools

Education

Graduate degree in relevant field

Job description

Social network you want to login/join with:

col-narrow-left

Client:

Location:

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

2

Posted:

10.06.2025

Expiry Date:

25.07.2025

col-wide

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 seeking Graduate Machine Learning Engineers with a passion for Artificial Intelligence, Machine Learning, Mathematics, Data Analysis, Python, Git, SQL, and BI Tools. The role is based in Edinburgh, with a flexible work arrangement of one day remote per week.

Responsibilities include:

• Applying foundational knowledge of various machine learning techniques suitable for different data types.
• Supporting the implementation of advanced AI/ML techniques to improve product offerings.
• Performing exploratory data analysis to identify patterns and anomalies.
• Assisting in Proof of Concept projects by analyzing data outputs and evaluating model performance.
• Preparing reports and visualizations to communicate insights effectively.
• Automating data analysis workflows to enhance efficiency.

Ideal candidates should be enthusiastic and eager to start between late June and August.