Graduate Machine Learning Engineer - £30,000

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

Job summary

A leading AI company in Edinburgh seeks several passionate Graduate Machine Learning Engineers. This role involves contributing to AI/ML projects by conducting data analysis, supporting the implementation of advanced techniques, and preparing clear reports. Ideal candidates will have a strong foundation in data analysis and programming, eager to start between June and August.

Qualifications

• Strong foundation in data analysis and programming in Python.
• Experience with Git, SQL, and BI tools.
• Passion and enthusiasm for AI and machine learning.

Responsibilities

• Possess foundational knowledge across various machine learning techniques.
• Support implementation of AI/ML techniques across product lines.
• Conduct exploratory data analysis and create reports to communicate findings.

Skills

Mathematics

Data Analysis

Python

Git

SQL

BI Tools

Passion for AI

Passion for Machine Learning

Education

Graduate in relevant field

Job description

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Client:

Location:

glasgow, 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

Graduate Machine Learning Engineer, Artificial Intelligence, Machine Learning, Passion & Enthusiasm, Mathematics, Data Analysis, Python, Git, SQL, BI Tools.

An exciting AI company in Edinburgh is looking for several passionate & enthusiastic Graduate Machine Learning Engineers to start between the end of June and end of August.

Responsibilities:

• Possess foundational knowledge across a diverse range of machine learning techniques suitable for various data shapes and types.
• Support the implementation and application of cutting-edge AI/ML techniques across multiple product lines, aiming to contribute effectively to product enhancement.
• Conduct exploratory data analysis to identify trends, patterns, and anomalies in datasets.
• Assist in the preparation and execution of Proof of Concept (PoC) projects by analysing data outputs and assessing model performance.
• Create clear, data-driven reports and visualisations to communicate findings from AI/ML models to technical and non-technical audiences.
• Contribute to automation of data analysis workflows to streamline reporting and validation processes.

Ideal candidates should have a strong foundation in data analysis, programming skills in Python, experience with Git, SQL, and BI tools, and a passion for AI and machine learning.