Graduate Machine Learning Engineer - £30,000

JR United Kingdom; Chesterfield; Hybrid; GBP 25,000 - 30,000; Full time

Job summary

A prominent AI company is seeking passionate and enthusiastic Graduate Machine Learning Engineers for its Edinburgh office, offering a competitive salary of up to £30,000. Candidates will engage in innovative AI and ML projects, with responsibilities ranging from data analysis to supporting the implementation of cutting-edge techniques. The role is ideal for recent graduates eager to enter the exciting world of AI.

Qualifications

• Recent graduate with skills in AI and ML.
• Foundational knowledge in machine learning techniques.
• Proficiency in Python and SQL.

Responsibilities

• Support implementation of AI/ML techniques.
• Conduct exploratory data analysis.
• Create clear reports and visualizations.

Skills

Artificial Intelligence

Machine Learning

Mathematics

Data Analysis

Python

SQL

Git

BI Tools

Tools

Git

BI Tools

Job description

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Graduate Machine Learning Engineer - £30,000, Chesterfield

Client:

Location:

Chesterfield, 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 and enthusiastic Graduate Machine Learning Engineers with skills in Artificial Intelligence, Machine Learning, Mathematics, Data Analysis, Python, Git, SQL, and BI Tools for an exciting AI company in Edinburgh. The role is suitable for recent graduates and offers a salary of up to £30,000.

Responsibilities include:

• Possessing foundational knowledge across various machine learning techniques suitable for different data types.
• Supporting the implementation of cutting-edge AI/ML techniques to enhance products.
• Conducting exploratory data analysis to identify trends and anomalies.
• Assisting in Proof of Concept projects by analyzing data outputs and assessing models.
• Creating clear reports and visualizations to communicate findings.
• Automating data analysis workflows for efficiency.