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Graduate Machine Learning Engineer - £30,000

JR United Kingdom

High Wycombe

Hybrid

GBP 25,000 - 30,000

Full time

4 days ago
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Job summary

A leading AI company is seeking a Graduate Machine Learning Engineer based in High Wycombe, offering a salary of up to £30,000. The role involves assisting in innovative projects, utilizing essential skills like Python and data analysis, and contributing to the automation of workflows. Candidates should be enthusiastic and ready to start in July or August.

Qualifications

  • Foundational knowledge of machine learning techniques.
  • Ability to perform exploratory data analysis.
  • Experience with Python and data analysis tools is advantageous.

Responsibilities

  • Support the implementation of AI/ML techniques.
  • Perform exploratory data analysis to identify trends.
  • Create reports and visualizations to communicate findings.

Skills

Mathematics
Data Analysis
Python
Git
SQL
BI Tools
Passion & Enthusiasm

Job description

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Graduate Machine Learning Engineer - £30,000, High Wycombe

Location: High Wycombe, 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.

Salary: up to £30,000 basic

Important: Candidates should aim to start between July & August.

The role involves working as a Graduate Machine Learning Engineer in an AI company in Edinburgh. Key skills include Passion & Enthusiasm, Mathematics, Data Analysis, Python, Git, SQL, and BI Tools.

Responsibilities:
  • Possess foundational knowledge of various machine learning techniques suitable for different data types.
  • Support the implementation of cutting-edge AI/ML techniques to enhance products.
  • Perform exploratory data analysis to identify trends and anomalies.
  • Assist in Proof of Concept projects by analyzing data outputs and assessing models.
  • Create reports and visualizations to communicate findings.
  • Help automate data analysis workflows to improve efficiency.
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