Graduate Machine Learning Engineer - £30,000

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

Job summary

A leading AI company based in Edinburgh is seeking a passionate Graduate Machine Learning Engineer. This role offers a blend of office work with remote options, focusing on machine learning and data-driven insights. Candidates should possess strong skills in Python, AI, and data analysis, aiming to start between July and August 2025.

Qualifications

• Recent graduate or equivalent qualification in a relevant field.
• Strong knowledge of machine learning and data analysis.
• Enthusiastic about AI technologies and their applications.

Responsibilities

• Possess foundational knowledge across diverse machine learning techniques.
• Support implementation of AI/ML techniques across product lines.
• Conduct exploratory data analysis to identify trends and patterns.
• Assist in preparation and execution of Proof of Concept (PoC) projects.
• Create clear, data-driven reports and visualizations.

Skills

Artificial Intelligence

Machine Learning

Mathematics

Data Analysis

Python

Git

SQL

BI Tools

Job description

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Graduate Machine Learning Engineer - £30,000, Liverpool

Location: Liverpool, 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 with skills in Artificial Intelligence, Machine Learning, Mathematics, Data Analysis, Python, Git, SQL, and BI Tools for an exciting AI company in Edinburgh. The start date is ideally between the end of June and the end of August.

Responsibilities include:

• Possessing foundational knowledge across diverse machine learning techniques suitable for various data shapes and types.
• Supporting the implementation and application of cutting-edge AI/ML techniques across multiple product lines to enhance products.
• Conducting exploratory data analysis to identify trends, patterns, and anomalies.
• Assisting in the preparation and execution of Proof of Concept (PoC) projects by analyzing data outputs and assessing model performance.
• Creating clear, data-driven reports and visualizations to communicate findings to technical and non-technical audiences.
• Contributing to automation of data analysis workflows to streamline reporting and validation processes.