Graduate Machine Learning Engineer - £30,000

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

Job summary

A leading AI company in Edinburgh seeks Graduate Machine Learning Engineers passionate about artificial intelligence and machine learning. The role involves conducting data analysis and implementing innovative AI techniques, paying up to £30,000. Ideal candidates are recent graduates or have some experience in the field and are eager to contribute to exciting projects with opportunities for remote work.

Qualifications

• Suitable for recent graduates or those with some experience.
• Foundational knowledge across diverse machine learning techniques.

Responsibilities

• Supporting the implementation of cutting-edge AI/ML techniques across products.
• Conducting exploratory data analysis to identify trends.
• Creating data-driven reports and visualizations to communicate findings.

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, Birmingham

Client:

Location: Birmingham, 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 to join an exciting AI company in Edinburgh. The role is suitable for recent graduates or those with some experience in:

• Artificial Intelligence
• Machine Learning
• Mathematics
• Data Analysis
• Python, Git, SQL, BI Tools

Start date should be between the end of June and the end of August.

Responsibilities include:

• Possessing foundational knowledge across a diverse range of 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.
• Conducting exploratory data analysis to identify trends, patterns, and anomalies.
• Assisting in the preparation and execution of Proof of Concept (PoC) projects, analyzing data outputs, and assessing model performance.
• Creating clear, data-driven reports and visualizations to communicate findings to both technical and non-technical audiences.
• Contributing to automation of data analysis workflows to streamline reporting and validation processes.