Graduate Machine Learning Engineer - £30,000

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

Job summary

A leading AI company in Edinburgh is seeking multiple Graduate Machine Learning Engineers to join their team. Responsibilities include supporting AI/ML techniques, conducting data analysis, and producing clear reports. Ideal candidates should possess foundational knowledge in machine learning along with a passion for technology.

Qualifications

• Foundational knowledge of machine learning techniques.
• Proficient in data analysis and reporting skills.
• Passionate and enthusiastic about AI and machine learning.

Responsibilities

• Support implementation of AI/ML across product lines.
• Conduct exploratory data analysis to identify trends.
• Create data-driven reports for technical and non-technical audiences.

Skills

Mathematics

Data Analysis

Python

Git

SQL

BI Tools

Job description

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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 are looking for several passionate & enthusiastic Graduate Machine Learning Engineer's 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.