Graduate Machine Learning Engineer - £30,000

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

Job summary

A leading company is looking for passionate Graduate Machine Learning Engineers in Watford. The role involves supporting AI/ML implementation and conducting data analysis. This entry-level position offers a base salary of £30,000 with opportunities for career growth and skills development in a dynamic environment.

Qualifications

• Foundational knowledge across machine learning techniques.
• Passionate about AI/ML.
• Ability to create reports and visualizations.

Responsibilities

• Support implementation of AI/ML techniques across products.
• Conduct exploratory data analysis on datasets.
• Create clear, data-driven reports 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, Watford, Hertfordshire

Client:

Location:

Watford, Hertfordshire, 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 several passionate & enthusiastic Graduate Machine Learning Engineers

Qualifications include Artificial Intelligence, Machine Learning, Mathematics, Data Analysis, Python, Git, SQL, BI Tools.

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.