Graduate Machine Learning Engineer - £30,000

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

Job summary

A well-established AI company in Edinburgh seeks Graduate Machine Learning Engineers eager to dive into Artificial Intelligence and Machine Learning. The role blends foundational knowledge with hands-on tasks in data analysis and automation, providing a platform for innovative contributions. The position offers a competitive base salary of up to £30,000, with a blend of in-office and remote work.

Qualifications

• Foundational knowledge across various machine learning techniques.
• Experience with AI/ML techniques.
• Proficiency in Python and SQL is desirable.

Responsibilities

• Support implementation of cutting-edge AI/ML techniques.
• Conduct exploratory data analysis to identify trends.
• Create reports and visualizations to communicate findings.

Skills

Artificial Intelligence

Machine Learning

Data Analysis

Python

Git

SQL

BI Tools

Education

Graduate Degree

Job description

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Client:

Location:

exeter, 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

We are seeking Graduate Machine Learning Engineers passionate about Artificial Intelligence, Machine Learning, Mathematics, Data Analysis, Python, Git, SQL, and BI Tools for an exciting Edinburgh-based AI company. The role involves starting between late June and August.

Responsibilities include:

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