Graduate Machine Learning Engineer - £30,000

JR United Kingdom; Hemel Hempstead; Hybrid; GBP 30,000; Full time

Job summary

An exciting AI company in Edinburgh seeks passionate and enthusiastic Graduate Machine Learning Engineers. With a hybrid working model, the role focuses on machine learning techniques and data analysis. Join a dynamic team to contribute to innovative product enhancements and explore AI solutions. The position aims for a start date between July and August, with a competitive salary of up to £30,000.

Qualifications

• Graduate in a relevant field with a passion for AI/ML.
• Strong foundation in Mathematics and Data Analysis.
• Understanding of machine learning techniques.

Responsibilities

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

Skills

Mathematics

Data Analysis

Python

Git

SQL

BI Tools

Education

Graduate in relevant field

Job description

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Client:

Location:

hemel hempstead, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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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.

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