Graduate Machine Learning Engineer - £30,000

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

Job summary

A leading AI company based in Edinburgh is seeking enthusiastic Graduate Machine Learning Engineers. The successful candidates will support the implementation of AI/ML techniques, conduct data analysis, and create reports to enhance product offerings. This entry-level position offers a competitive salary of £30,000 and includes one day of remote work per week.

Qualifications

• Interest in AI and Machine Learning required.
• Foundational knowledge across various machine learning techniques.
• Enthusiastic and passionate about data and technology.

Responsibilities

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

Skills

Machine Learning

Data Analysis

Python

SQL

Git

BI Tools

Mathematics

Education

Recent graduate

Job description

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Graduate Machine Learning Engineer - £30,000, Swindon, Wiltshire

Client:

Location:

Swindon, Wiltshire, 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 passionate & enthusiastic Graduate Machine Learning Engineers for an AI company in Edinburgh. The role is suitable for recent graduates with interests in Artificial Intelligence, Machine Learning, Mathematics, Data Analysis, Python, Git, SQL, and BI Tools.

Responsibilities include:

• Possess foundational knowledge across various machine learning techniques suitable for diverse data types.
• 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 reports and visualizations to communicate findings to both technical and non-technical audiences.
• Contribute to automating data analysis workflows to streamline reporting and validation.