Graduate Machine Learning Engineer - £30,000 (Edinburgh)

8 hours ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. This range is provided by Nichols Digital Ltd. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range 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 are looking for several passionate & enthusiastic Graduate Machine Learning Engineer's 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
Graduate Machine Learning Engineer, Artificial Intelligence, Machine Learning, Mathematics, Data Analysis, Python, Git, SQL, BI Tools. Seniority level
• Seniority levelNot Applicable
Employment type
• Employment typeFull-time
Job function
• Job functionInformation Technology
• IndustriesTechnology, Information and Internet and Software Development
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Graduate Machine Learning Engineer, Artificial Intelligence, Machine Learning, Passion & Enthusiasm, Mathematics, Data Analysis, Python, Git, SQL, BI Tools.