Graduate Machine Learning Engineer - Edinburgh

JR United Kingdom; Dunfermline; Hybrid; GBP 30,000 - 35,000; Full time

Job summary

A dynamic AI company in Edinburgh is seeking several passionate Graduate Machine Learning Engineers to join their innovative team. Candidates should be eager to learn and possess strong foundational knowledge in machine learning, data analysis, and relevant programming skills. The role offers a balanced work schedule with one day of remote work per week, focusing on exciting projects in the field of artificial intelligence.

Qualifications

• Foundational knowledge of machine learning techniques.
• Experience with data analysis and reporting.
• Familiarity with AI/ML concepts.

Responsibilities

• Support implementation of AI/ML techniques across products.
• Conduct exploratory data analysis to identify trends.
• Create data-driven reports and visualisations.

Skills

Passion & Enthusiasm

Mathematics

Data Analysis

Python

Git

SQL

BI Tools

Machine Learning

Artificial Intelligence

Job description

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Job Views:

2

Posted:

06.06.2025

Expiry Date:

21.07.2025

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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 are looking for several passionate & enthusiastic Graduate Machine Learning Engineer's 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

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