Graduate Machine Learning Engineer - £30,000

JR United Kingdom; York; Hybrid; GBP 30,000 - 35,000; Full time

Job summary

A leading AI company in Edinburgh is seeking passionate Graduate Machine Learning Engineers to enhance their innovative product lines. The role offers a blend of remote and office work, focusing on implementing AI techniques and conducting data analysis. Ideal candidates will be knowledgeable in Python, SQL, and machine learning principles.

Qualifications

• Graduate Machine Learning Engineer with knowledge in AI, ML, and data analysis.
• Experience with Python, SQL, and Git preferred.

Responsibilities

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

Skills

Artificial Intelligence

Machine Learning

Mathematics

Data Analysis

Python

Git

SQL

BI Tools

Job description

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Graduate Machine Learning Engineer - £30,000, York

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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 - Candidates should aim to start between July & August

We are looking for passionate & enthusiastic Graduate Machine Learning Engineers with knowledge in Artificial Intelligence, Machine Learning, Mathematics, Data Analysis, Python, Git, SQL, and BI Tools to join an exciting AI company in Edinburgh.

Responsibilities include:

• Possessing foundational knowledge of various machine learning techniques suitable for different data types.
• Supporting the implementation of cutting-edge AI/ML techniques across product lines to enhance products.
• Conducting exploratory data analysis to identify trends and anomalies.
• Assisting in Proof of Concept (PoC) projects by analyzing data outputs and assessing models.
• Creating clear reports and visualizations to communicate findings to technical and non-technical audiences.
• Contributing to automation of data analysis workflows for reporting and validation.