Graduate Machine Learning Engineer - £30,000

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

Job summary

A leading AI company is seeking Graduate Machine Learning Engineers based in Edinburgh, offering a salary of up to £30,000. The role includes responsibilities in data analysis and implementation of machine learning techniques, with a hybrid working model of one day remote. Ideal candidates should have a strong background in Python and data analysis, with a start date between July and August.

Qualifications

• Graduate with a foundation in Machine Learning and AI.
• Proficiency in Python, SQL, and data analysis techniques required.

Responsibilities

• Implement machine learning techniques across product lines.
• Conduct exploratory data analysis and create reports.
• Support automation of data analysis workflows.

Skills

Python

Machine Learning

Data Analysis

Mathematics

Git

SQL

BI Tools

Education

Degree in related field

Job description

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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 for an exciting AI company in Edinburgh. The role is suitable for candidates passionate about Artificial Intelligence, Machine Learning, Mathematics, and Data Analysis, with skills in Python, Git, SQL, and BI Tools.

The position offers a salary of up to £30,000 and requires EU work permit. The start date is ideally between July and August, with the role based primarily in Edinburgh and one day remote per week.

Responsibilities include:

• Having foundational knowledge of various machine learning techniques suitable for different data types and shapes.
• Supporting the implementation of cutting-edge 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 assessing model performance.
• Creating clear reports and visualizations to communicate findings to both technical and non-technical audiences.
• Contributing to automation of data analysis workflows to streamline processes.