Graduate Machine Learning Engineer - £30,000

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

Job summary

A leading company is seeking Graduate Machine Learning Engineers who are passionate about Artificial Intelligence and Data Analysis. The position offers a salary of up to £30,000 with a flexible work arrangement of one day remote per week. Successful candidates will be involved in exploring data trends, supporting AI applications, and enhancing product lines.

Qualifications

• Passion for AI, ML, and data-driven insights.
• Foundational knowledge across diverse machine learning techniques.
• Ability to create clear data-driven reports.

Responsibilities

• Conduct exploratory data analysis to identify trends and patterns.
• Support implementation of cutting-edge AI/ML techniques.
• Assist in preparing Proof of Concept (PoC) projects.

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, Plymouth

Client:

Location:

Plymouth, United Kingdom

Job Category:

Other

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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 Graduate Machine Learning Engineers passionate about Artificial Intelligence, Machine Learning, Mathematics, Data Analysis, Python, Git, SQL, and BI Tools. The role is based in Edinburgh, with a flexible work arrangement of one day remote per week and the rest in the office.

Responsibilities include:

• 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.