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Graduate Machine Learning Engineer - £30,000 (Edinburgh)
Summary by AIEngineer.careers
Graduate Machine Learning Engineer - £30,000 (Edinburgh) is a Machine Learning Engineer role (full-time). with in Edinburgh. in CITY OF EDINBURGH, GB. Compensation shown: $38K–$38K (est.). Imported listing (source: s1jobs.com). Apply on the employer's site (s1jobs.com).
Imported listing (source: s1jobs.com) · Apply on s1jobs.com
CITY OF EDINBURGH · GB
$38K–$38K (est.)
Full-time
JUNIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from s1jobs.com
We are seeking a Graduate Machine Learning Engineer to join an exciting AI company in Edinburgh. This hybrid role involves applying foundational machine learning techniques, conducting exploratory data analysis, and supporting Proof of Concept projects to enhance product lines. The ideal candidate will collaborate with cross-functional teams to automate workflows and communicate data-driven insights effectively.
Responsibilities
- Apply foundational machine learning techniques across multiple product lines
- Conduct exploratory data analysis to identify trends and anomalies
- Support preparation and execution of Proof of Concept (PoC) projects
- Create data-driven reports and visualizations for technical and non-technical audiences
- Automate data analysis workflows to streamline reporting and validation
Requirements
- Foundational knowledge of diverse machine learning techniques
- Strong analytical skills with experience in mathematics and data analysis
- Proficiency in Python, SQL, and version control with Git
- Ability to create clear data visualizations and reports
- Enthusiasm for artificial intelligence and machine learning applications
IE
in Edinburgh
Tonbridge and Malling · GB · 3+ employees
Nichols Digital Limited is a boutique IT recruitment agency that provides permanent, contract, and temporary staffing services. The company works with a diverse range of clients, from tech start-ups and charities to global enterprises and FTSE 100 companies.
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