Graduate Machine Learning Engineer - £30,000

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

Job summary

A leading AI company based in Edinburgh is seeking Graduate Machine Learning Engineers with a strong foundation in Python, SQL, and data analysis techniques. The role involves exploring machine learning applications across diverse product lines and contributing to exciting AI projects. Ideal candidates should be passionate and ready to start their careers in an innovative environment with one day remote work weekly.

Qualifications

• Knowledge of AI/ML and data analysis techniques.
• Familiarity with Python and SQL required.
• Passionate about machine learning and data-driven solutions.

Responsibilities

• Conduct exploratory data analysis and identify patterns.
• Support the implementation of AI/ML techniques.
• Create data-driven reports and visualisations.

Skills

Artificial Intelligence

Mathematics

Data Analysis

Python

Git

SQL

BI Tools

Job description

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Graduate Machine Learning Engineer - £30,000, Nottingham

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Client:

Location:

Nottingham, 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 looking for graduate Machine Learning Engineers with a passion for Artificial Intelligence, Mathematics, Data Analysis, and skills in Python, Git, SQL, and BI Tools.

An exciting AI company in Edinburgh is seeking several passionate & enthusiastic Graduate Machine Learning Engineers to start between the end of June and end of August.

Responsibilities include:

• Possess foundational knowledge across a diverse range of machine learning techniques suitable for various data shapes and types.
• Support the implementation and application of cutting-edge AI/ML techniques across multiple product lines, aiming to contribute effectively to product enhancement.
• Conduct exploratory data analysis to identify trends, patterns, and anomalies in datasets.
• Assist in the preparation and execution of Proof of Concept (PoC) projects by analysing data outputs and assessing model performance.
• Create clear, data-driven reports and visualisations to communicate findings from AI/ML models to technical and non-technical audiences.
• Contribute to automation of data analysis workflows to streamline reporting and validation processes.

Qualifications include knowledge of AI/ML, Mathematics, Data Analysis, Python, Git, SQL, and BI Tools.