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Graduate Machine Learning Engineer - £30,000

JR United Kingdom

Preston

Hybrid

GBP 30,000

Full time

7 days ago
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Job summary

A leading AI company is looking for enthusiastic Graduate Machine Learning Engineers in Edinburgh with the possibility of remote work once a week. The role involves implementing machine learning techniques and conducting data analysis, contributing to innovative AI solutions while requiring an EU work permit.

Qualifications

  • Passionate & enthusiastic about AI and machine learning.
  • Foundational knowledge in various 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

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

Job description

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Graduate Machine Learning Engineer - £30,000, Preston, Lancashire

Client:

Location:

Preston, Lancashire, 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 seeking passionate & enthusiastic Graduate Machine Learning Engineers for an exciting AI company in Edinburgh. Candidates should have skills in Artificial Intelligence, Machine Learning, Mathematics, Data Analysis, Python, Git, SQL, and BI Tools. The role is based in Edinburgh with one day remote per week, and the start date is between late June and late August.

Responsibilities:

  • Possess foundational knowledge of various machine learning techniques suitable for diverse data types.
  • Support the implementation of cutting-edge AI/ML techniques across multiple product lines to enhance products.
  • Conduct exploratory data analysis to identify trends and anomalies.
  • Assist in Proof of Concept (PoC) projects by analyzing data outputs and assessing models.
  • Create reports and visualizations to communicate findings to technical and non-technical audiences.
  • Contribute to automating data analysis workflows for reporting and validation.

Note: The role requires an EU work permit.

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