Graduate Machine Learning Engineer - £30,000

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

Job summary

An exciting AI company in Edinburgh is on the lookout for Graduate Machine Learning Engineers. This role offers the chance to work on innovative projects, focusing on data analysis and AI, with the flexibility of remote working one day a week. Ideal candidates are passionate about AI and possess a foundational understanding of machine learning techniques.

Qualifications

• Foundational knowledge of various machine learning techniques for different data types.
• Enthusiastic and passionate about AI and ML.

Responsibilities

• Support implementation of AI/ML techniques across products.
• Conduct exploratory data analysis to identify trends and anomalies.
• Create reports and visualizations for findings.

Skills

Machine Learning Techniques

Data Analysis

Data Visualization

Job description

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Graduate Machine Learning Engineer - £30,000, Portsmouth, Hampshire

Location: Portsmouth, Hampshire, 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

Start Date: Between July & August

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 include:

• Possess foundational knowledge of various machine learning techniques suitable for different data types and shapes.
• Support the implementation of advanced AI/ML techniques across multiple product lines to enhance products.
• Conduct exploratory data analysis to identify trends, patterns, and anomalies.
• Assist in Proof of Concept (PoC) projects by analyzing data outputs and evaluating model performance.
• Create clear reports and visualizations to communicate AI/ML findings to technical and non-technical audiences.
• Contribute to automating data analysis workflows for streamlined reporting and validation.