Graduate Machine Learning Engineer - Edinburgh

JR United Kingdom; City of Edinburgh; Hybrid; GBP 25,000 - 30,000; Full time

Job summary

A leading AI company in Edinburgh is seeking passionate Graduate Machine Learning Engineers to join their team. The role involves supporting AI/ML projects, conducting data analysis, and contributing to product enhancement through innovative techniques. Candidates must possess a solid foundation in mathematics, data analysis, and Python, with a keen interest in machine learning. The position offers one day of remote work each week, with a competitive salary of up to £30,000.

Qualifications

• Foundational knowledge in machine learning techniques.
• Enthusiasm for AI/ML and data analysis.
• Support for Proof of Concept projects.

Responsibilities

• Implement and apply AI/ML techniques across product lines.
• Conduct exploratory data analysis to identify trends.
• Create data-driven reports and visualisations.

Skills

Mathematics

Data Analysis

Python

Git

SQL

Business Intelligence Tools

Education

Graduate in Computer Science, Engineering or related field

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.