Graduate Machine Learning Engineer - £30,000

JR United Kingdom; Leicester; Hybrid; GBP 30,000; Full time

Job summary

An exciting opportunity for Graduate Machine Learning Engineers at an AI company based in Edinburgh, offering a salary of up to £30,000. The role combines remote work one day a week with office responsibilities, requiring enthusiasm and skills in AI, data analysis, and programming.

Qualifications

• Background in Artificial Intelligence, Machine Learning, Mathematics.
• Proficiency in Python, Git, SQL, and BI Tools.
• Foundation knowledge of machine learning techniques.

Responsibilities

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

Skills

Python

Data Analysis

Machine Learning

SQL

Git

BI Tools

Job description

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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 passionate and enthusiastic Graduate Machine Learning Engineers for an exciting AI company in Edinburgh. The role is suitable for candidates with a background in Artificial Intelligence, Machine Learning, Mathematics, Data Analysis, and proficiency in Python, Git, SQL, and BI Tools. The position is available to candidates requiring an EU work permit.

The role offers a salary of up to £30,000 and is based in Edinburgh, with one day per week remote work and the rest in the office. The start date is ideally between late June and August.

Responsibilities include:

• Possessing foundational knowledge of various machine learning techniques suitable for different data types and shapes.
• Supporting the implementation of advanced AI/ML techniques across multiple product lines to enhance products.
• Conducting exploratory data analysis to identify trends and anomalies.
• Assisting in Proof of Concept projects by analyzing data outputs and evaluating model performance.
• Creating clear reports and visualizations to communicate findings to technical and non-technical audiences.
• Contributing to automation of data analysis workflows to improve efficiency.