Graduate Machine Learning Engineer - £30,000

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

Job summary

An innovative AI company in Edinburgh is seeking passionate Graduate Machine Learning Engineers for a unique opportunity. This role, with a competitive salary of £30,000, offers a combination of in-office work and remote flexibility, focusing on cutting-edge AI projects. Ideal candidates will have a strong foundation in software development, particularly in Python and SQL, and show eagerness to engage in data-driven analysis and reporting.

Qualifications

• Recent graduate with knowledge in AI and ML.
• Familiarity with data analysis techniques and reporting.
• Proficiency in relevant programming languages.

Responsibilities

• Implement AI/ML techniques to improve product functionality.
• Conduct exploratory data analysis to identify insights.
• Create visual reports communicating findings to diverse audiences.

Skills

Artificial Intelligence

Machine Learning

Mathematics

Data Analysis

Python

Git

SQL

BI Tools

Education

Degree in Computer Science or related field

Job description

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Graduate Machine Learning Engineer - £30,000, Peterborough

Client:

Location:

Peterborough, 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 seeking Graduate Machine Learning Engineers with a passion for Artificial Intelligence, Machine Learning, Mathematics, Data Analysis, and proficiency in Python, Git, SQL, and BI Tools.

An exciting AI company in Edinburgh is looking for several passionate & enthusiastic Graduate Machine Learning Engineers to start between late June and August.

Responsibilities:

• Possess foundational knowledge of diverse machine learning techniques suitable for various data types and shapes.
• Support the implementation of cutting-edge AI/ML techniques across multiple product lines to enhance products.
• Conduct exploratory data analysis to identify trends, patterns, and anomalies.
• Assist in Proof of Concept (PoC) projects by analyzing data outputs and assessing model performance.
• Create clear, data-driven reports and visualizations to communicate findings to technical and non-technical audiences.
• Contribute to automating data analysis workflows to streamline reporting and validation processes.