Graduate Machine Learning Engineer - £30,000

JR United Kingdom; Cambridge; Hybrid; GBP 30,000 - 35,000; Full time

Job summary

A leading AI company based in Edinburgh is seeking Graduate Machine Learning Engineers with a starting annual salary of £30,000. This exciting role includes one day of remote work and focuses on applying machine learning techniques to enhance product lines. Ideal candidates will possess foundational knowledge in mathematics and data analysis, and are encouraged to apply if they are passionate about AI.

Qualifications

• Recent graduates with interests in Artificial Intelligence, Machine Learning, Mathematics.
• Foundational knowledge in machine learning techniques.
• Passionate and enthusiastic about data analysis.

Responsibilities

• Support the implementation of AI/ML techniques across product lines.
• Conduct exploratory data analysis to identify trends.
• Create reports and visualizations for data findings.

Skills

Python

SQL

Data Analysis

Machine Learning

Git

Mathematics

BI Tools

Education

Recent graduate in relevant field

Job description

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Graduate Machine Learning Engineer - £30,000, Cambridge

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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 recent graduates with interests in Artificial Intelligence, Machine Learning, Mathematics, Data Analysis, Python, Git, SQL, and BI Tools. The start date is ideally between the end of June and the end of August.

Responsibilities include:

• Possessing foundational knowledge across various machine learning techniques suitable for diverse data types.
• Supporting the implementation and application of cutting-edge AI/ML techniques to enhance multiple product lines.
• Conducting exploratory data analysis to identify trends and anomalies.
• Assisting in Proof of Concept (PoC) projects by analyzing data outputs and assessing model performance.
• Creating clear reports and visualizations to communicate findings to technical and non-technical audiences.
• Contributing to automation of data analysis workflows for streamlined reporting and validation.