Graduate Machine Learning Engineer - £30,000

JR United Kingdom; City of Edinburgh; Hybrid; GBP 28,000 - 30,000; Full time

Job summary

A leading technology firm in Edinburgh is looking for Graduate Machine Learning Engineers with a passion for AI and data analysis. This role offers a mix of office and remote work, and responsibilities include analyzing data, supporting AI initiatives, and contributing to automation projects. Ideal candidates should possess skills in Python, SQL, and foundational machine learning techniques.

Qualifications

• Passion for Artificial Intelligence and Machine Learning.
• Foundational knowledge in various machine learning techniques.
• Strong analytical skills.

Responsibilities

• Conduct exploratory data analysis to identify trends.
• Support implementation of AI/ML techniques across product lines.
• Create reports and visualizations to communicate findings.

Skills

Python

SQL

Data Analysis

AI/ML Techniques

Education

Graduate

Tools

Git

BI Tools

Job description

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Client:

Location:

edinburgh, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

10.06.2025

Expiry Date:

25.07.2025

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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 passionate about Artificial Intelligence, Machine Learning, Mathematics, Data Analysis, Python, Git, SQL, and BI Tools. The role is based in Edinburgh with a mix of office and remote work.

Responsibilities include:

• Possessing foundational knowledge of various machine learning techniques suitable for diverse data types.
• Supporting the implementation of cutting-edge AI/ML techniques across product lines.
• Conducting exploratory data analysis to identify trends and anomalies.
• Assisting in Proof of Concept projects by analyzing data outputs and model performance.
• Creating clear reports and visualizations to communicate findings.
• Contributing to automation of data analysis workflows.