Graduate Machine Learning Engineer - £30,000

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

Job summary

An exciting AI company in Edinburgh seeks several passionate Graduate Machine Learning Engineers. The role involves a mix of office and remote work, focusing on implementing cutting-edge AI techniques, conducting data analysis, and contributing to various product enhancements. Candidates should be enthusiastic and have a strong educational background in Machine Learning and related fields.

Qualifications

• Foundational knowledge in diverse machine learning techniques.
• Proficiency in Python, Git, SQL, and BI tools.

Responsibilities

• Support implementation of AI/ML techniques across multiple product lines.
• Conduct exploratory data analysis to identify trends and patterns.
• Assist in Proof of Concept (PoC) projects and model performance assessment.

Skills

Mathematics

Data Analysis

Python

Git

SQL

BI Tools

Education

Graduate level knowledge in Machine Learning

Graduate level knowledge in Artificial Intelligence

Job description

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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

Graduate Machine Learning Engineer, Artificial Intelligence, Machine Learning, Passion & Enthusiasm, Mathematics, Data Analysis, Python, Git, SQL, BI Tools.

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

Responsibilities:

• 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 Graduate level knowledge in Machine Learning, Artificial Intelligence, Mathematics, Data Analysis, and proficiency in Python, Git, SQL, and BI Tools.