Graduate Machine Learning Engineer - £30,000

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

Job summary

A dynamic AI company is seeking passionate and enthusiastic Graduate Machine Learning Engineers to join their team in Edinburgh. This role, suitable for recent graduates, focuses on cutting-edge AI/ML projects. Responsibilities include data analysis, supporting AI implementations, and contributing to automation workflows. The position offers a competitive salary and the option for remote working one day a week.

Qualifications

• Foundational knowledge in machine learning techniques.
• Interest in AI, Mathematics, and Data Analysis.
• Recent graduates encouraged to apply.

Responsibilities

• Support implementation of AI/ML techniques across product lines.
• Conduct exploratory data analysis to identify trends.
• Assist in Proof of Concept projects analyzing data outputs.

Skills

Python

Data Analysis

Mathematics

Git

SQL

BI Tools

Education

Recent Graduate

Job description

Social network you want to login/join with:

Graduate Machine Learning Engineer - £30,000, Dartford

Client:

Location:

Dartford, 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

We are looking for passionate & enthusiastic Graduate Machine Learning Engineers with interests in Artificial Intelligence, Mathematics, Data Analysis, Python, Git, SQL, and BI Tools to join a dynamic AI company in Edinburgh. The role is suitable for recent graduates and involves working on cutting-edge AI/ML projects.

Responsibilities include:

• Possessing foundational knowledge across a range of machine learning techniques suitable for various data types.
• Supporting the implementation of AI/ML techniques across product lines to enhance offerings.
• 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.