Graduate Machine Learning Engineer - £30,000

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

Job summary

A leading AI company based in Edinburgh is seeking Graduate Machine Learning Engineers for exciting roles in AI and ML. Candidates should have a solid background in mathematics, data analysis, and programming, with responsibilities including data analysis, implementing AI techniques, and automating workflows. This role offers a competitive salary and a blend of office and remote work.

Qualifications

• Aiming for candidates with foundational knowledge in AI/ML techniques and programming skills.
• Experience with Python, SQL, and data analytics is highly desirable.

Responsibilities

• Support implementation of AI/ML techniques across product lines.
• Conduct exploratory data analysis and create clear data-driven reports.
• Contribute to automation of data analysis workflows.

Skills

Artificial Intelligence

Machine Learning

Mathematics

Data Analysis

Python

Git

SQL

BI Tools

Job description

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Graduate Machine Learning Engineer - £30,000, Brighton

Client:

Location:

Brighton, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

2

Posted:

10.06.2025

Expiry Date:

25.07.2025

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 & enthusiastic Graduate Machine Learning Engineers with a background in Artificial Intelligence, Machine Learning, Mathematics, Data Analysis, Python, Git, SQL, and BI Tools to join an exciting AI company in Edinburgh. The role is available for candidates starting between late June and August.

Responsibilities include:

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