Graduate Machine Learning Engineer - £30,000

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

Job summary

An exciting opportunity for Graduate Machine Learning Engineers in a leading AI company based in Edinburgh, offering a competitive salary up to £30,000. Candidates should have a passion for data-driven solutions and foundational skills in AI and machine learning, with a flexible work environment including one day remote per week. Candidates are sought to start between June and August, making this an excellent opportunity for recent graduates.

Qualifications

• Graduate candidate with a passion for Machine Learning and AI.
• Foundational knowledge of machine learning techniques.
• Ability to conduct exploratory data analysis.

Responsibilities

• Support implementation of AI/ML techniques across product lines.
• Conduct exploratory data analysis to identify trends.
• Create data-driven reports from AI/ML models.

Skills

Mathematics

Data Analysis

Python

Git

SQL

BI Tools

Artificial Intelligence

Machine Learning

Job description

Social network you want to login/join with:

col-narrow-left

Client:

Location:

bolton, greater manchester, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

2

Posted:

10.06.2025

Expiry Date:

25.07.2025

col-wide

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.