Graduate Machine Learning Engineer - £30,000

JR United Kingdom; Gloucester; Hybrid; GBP 25,000 - 30,000; Full time

Job summary

An Edinburgh-based AI company seeks several passionate Graduate Machine Learning Engineers for an exciting opportunity. The role offers a mix of in-office and remote work, focusing on innovative AI technologies. Candidates should possess strong analytical skills and a deep interest in machine learning.

Qualifications

• Graduate Machine Learning Engineer position requiring a strong foundation in machine learning techniques.
• Candidates should demonstrate skill in Python, Data Analysis, and Mathematics.
• Passion for AI and statistics is essential.

Responsibilities

• Support implementation of AI/ML techniques across multiple products.
• Conduct exploratory data analysis to identify trends.
• Create data-driven reports to communicate AI/ML findings.

Skills

Mathematics

Data Analysis

Python

Git

SQL

BI Tools

Machine Learning

Artificial Intelligence

Job description

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Client:

Location:

gloucester, 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 the end of June and 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

Graduate Machine Learning Engineer, Artificial Intelligence, Machine Learning, Mathematics, Data Analysis, Python, Git, SQL, BI Tools.