Graduate Machine Learning Engineer - £30,000

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

Job summary

An exciting AI company based in Edinburgh is looking for enthusiastic Graduate Machine Learning Engineers. This role offers a balanced work environment with remote flexibility, providing an opportunity to work with cutting-edge technologies in machine learning and data analysis. Join a dynamic team and contribute to innovative projects starting between late June and August.

Qualifications

• Graduate level knowledge of Machine Learning and Artificial Intelligence.
• Fundamental understanding of Mathematics and Data Analysis.
• Proficiency in Python, Git, SQL, and familiarity with BI Tools.

Responsibilities

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

Skills

Machine Learning

Artificial Intelligence

Mathematics

Data Analysis

Python

Git

SQL

BI Tools

Job description

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Client:

Location:

bristol, 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 late June and August.

Responsibilities:

• Possess foundational knowledge of various machine learning techniques suitable for different data types.
• Support the implementation of cutting-edge AI/ML techniques across multiple product lines to enhance products.
• Conduct exploratory data analysis to identify trends and anomalies.
• Assist in Proof of Concept (PoC) projects by analyzing data outputs and assessing model performance.
• Create clear reports and visualizations to communicate findings to technical and non-technical audiences.
• Contribute to automating data analysis workflows for reporting and validation.

Skills required include: Graduate level knowledge of Machine Learning, Artificial Intelligence, Mathematics, Data Analysis, Python, Git, SQL, and BI Tools.