Graduate Machine Learning Engineer - £30,000

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

Job summary

A leading AI company based in Edinburgh is seeking passionate Graduate Machine Learning Engineers. This role offers a competitive salary of £30,000 and involves implementation of cutting-edge AI techniques, exploratory data analysis, and report preparation. Interested candidates should aim for a start date between July and August. The position includes one day remote work each week.

Qualifications

• Foundational knowledge in machine learning techniques.
• Proficiency in Python, SQL, and data analysis.
• Passionate about Artificial Intelligence and Machine Learning.

Responsibilities

• Implement AI/ML techniques for product enhancement.
• Conduct exploratory data analysis to identify trends.
• Prepare reports and visualizations to communicate findings.

Skills

Passion & Enthusiasm

Mathematics

Data Analysis

Python

Git

SQL

BI Tools

Job description

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Graduate Machine Learning Engineer - £30,000, Wakefield

Client:

Location:

Wakefield, 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

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.