Graduate Machine Learning Engineer - £30,000

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

Job summary

A leading AI company based in Edinburgh is seeking passionate Graduate Machine Learning Engineers. The role involves implementing machine learning techniques and conducting data analysis, alongside the opportunity to work remotely one day a week. Candidates should possess foundational knowledge in various machine learning techniques, and the desired start dates are between July and August.

Qualifications

• Foundational knowledge of machine learning techniques.
• Experience with Python and data analysis.
• Enthusiastic about AI and machine learning.

Responsibilities

• Support implementation of AI/ML across product lines.
• Conduct exploratory data analysis and reporting.
• Assist in Proof of Concept 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, Maidstone

Location: Maidstone, 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.

Salary: Up to £30,000 basic

Important: Candidates should aim for a start date between July and August.

We are looking for passionate & enthusiastic Graduate Machine Learning Engineers to join an exciting AI company in Edinburgh. The role involves:

• Possessing foundational knowledge of various machine learning techniques suitable for diverse data types.
• Supporting the implementation of cutting-edge AI/ML techniques across product lines.
• Conducting exploratory data analysis to identify trends and anomalies.
• Assisting in Proof of Concept projects by analyzing data outputs and model performance.
• Creating clear reports and visualizations to communicate findings.
• Contributing to automation of data analysis workflows.

Skills required include: Artificial Intelligence, Machine Learning, Mathematics, Data Analysis, Python, Git, SQL, BI Tools.