Graduate Machine Learning Engineer - Edinburgh

JR United Kingdom; Livingston; Hybrid; GBP 25,000 - 30,000; Full time

Job summary

An exciting AI company in Edinburgh is looking for several passionate Graduate Machine Learning Engineers to join their team. This role offers the chance to work on cutting-edge technology, with a blend of in-office and remote work. Perfect for individuals eager to apply their knowledge and skills in a dynamic environment.

Qualifications

• Foundational knowledge across diverse machine learning techniques.
• Passion and enthusiasm for AI and data analysis.

Responsibilities

• Support implementation of AI/ML techniques across products.
• Conduct exploratory data analysis to identify trends.
• Create data-driven reports to communicate findings.

Skills

Mathematics

Data Analysis

Python

Git

SQL

BI Tools

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.