Graduate Machine Learning Engineer - £30,000

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

Job summary

An exciting opportunity for a Graduate Machine Learning Engineer in a leading AI company based in Edinburgh, with one day of remote work weekly. The role requires candidates who are passionate about artificial intelligence and possess foundational knowledge in various machine learning techniques. You will conduct data analysis and support AI projects to drive innovation.

Qualifications

• Foundation knowledge of machine learning techniques.
• Interest in Artificial Intelligence and Mathematics.
• Experience in conducting exploratory data analysis.

Responsibilities

• Support implementation of AI/ML techniques across product lines.
• Conduct exploratory data analysis to identify trends.
• Assist in PoC projects and create reports for stakeholders.

Skills

Python

Data Analysis

Git

SQL

BI Tools

Job description

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Graduate Machine Learning Engineer - £30,000, Crawley, West Sussex

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Client:

Location:

Crawley, West Sussex, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

10.06.2025

Expiry Date:

25.07.2025

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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 exciting AI company in Edinburgh. The role is suitable for candidates with interests in Artificial Intelligence, Machine Learning, Mathematics, Data Analysis, Python, Git, SQL, and BI Tools.

The position offers a salary of up to £30,000 and involves supporting the implementation of AI/ML techniques across multiple product lines, conducting exploratory data analysis, assisting in Proof of Concept projects, creating data-driven reports, and contributing to automation workflows.

Responsibilities include:

• Possessing foundational knowledge of diverse machine learning techniques suitable for various data types.
• Supporting the application of cutting-edge AI/ML techniques.
• Conducting exploratory data analysis to identify trends and anomalies.
• Assisting in PoC projects by analyzing data outputs and assessing model performance.
• Creating clear reports and visualizations for technical and non-technical audiences.
• Contributing to automation of data analysis workflows.