Graduate Machine Learning Engineer - £30,000

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

Job summary

A leading AI company based in Edinburgh is looking for passionate Graduate Machine Learning Engineers to join their team. The role involves applying machine learning techniques, conducting data analysis, and contributing to innovative AI solutions while working primarily in-office with some remote flexibility. Ideal candidates will have a strong foundation in mathematics and programming languages like Python and SQL.

Qualifications

• Foundational knowledge of machine learning techniques.
• Interest in AI, Mathematics, and Data Analysis.
• Experience with Python and SQL is advantageous.

Responsibilities

• Support implementation of AI/ML techniques in product lines.
• Conduct exploratory data analysis to identify trends.
• Create data-driven reports and visualizations for varied audiences.

Skills

Python

SQL

Data Analysis

Machine Learning

Git

BI Tools

Education

Recent Graduate in Machine Learning or related field

Job description

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Graduate Machine Learning Engineer - £30,000, Leeds, West Yorkshire

Location: Leeds, West Yorkshire, 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 several passionate & enthusiastic Graduate Machine Learning Engineers to join an exciting AI company in Edinburgh. The role is suitable for recent graduates interested 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:

• 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.