Graduate Machine Learning Engineer - £30,000

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

Job summary

A leading AI company in Edinburgh is seeking Graduate Machine Learning Engineers who are passionate and enthusiastic about Artificial Intelligence and Data Analysis. Ideal candidates will have foundational knowledge of machine learning techniques and skills in Python and SQL, contributing to innovative AI/ML solutions. With a starting salary of £30,000, this role offers a blend of office and remote work, providing a great opportunity for recent graduates to advance their careers in the tech industry.

Qualifications

• Foundational knowledge in machine learning techniques.
• Interest in AI and data analysis.

Responsibilities

• Support implementation of AI/ML techniques across products.
• Conduct exploratory data analysis to identify trends.
• Create reports and visualizations communicating findings.

Skills

Python

Git

SQL

Data Analysis

Artificial Intelligence

Machine Learning

Education

Recent graduate in a relevant field

Tools

BI Tools

Job description

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Graduate Machine Learning Engineer - £30,000, Sheffield, South Yorkshire

Location: Sheffield, South Yorkshire, 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 looking for passionate & enthusiastic Graduate Machine Learning Engineers for an exciting AI company in Edinburgh. The role is suitable for recent graduates with interests in Artificial Intelligence, Machine Learning, Mathematics, Data Analysis, and skills in Python, Git, SQL, and BI Tools. The start date is ideally between the end of June and the end of August.

Responsibilities include:

• Possessing foundational knowledge across various machine learning techniques suitable for different data types and shapes.
• 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.