AI Researcher Apprentice — Hybrid Learning + Real ML

Thales

Manor Royal

Hybrid

GBP 22.000 - 26.000

Vollzeit

Vor 12 Tagen

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Salary £24k per year
Hybrid work
Pension
Health plan
Learning & development
Employee assistance

Zusammenfassung

Thales in the United Kingdom is offering an AI Researcher Apprentice role that blends academic study with on-the-job experience. You will work with AI researchers and engineers on live projects, translating questions into evidence-based findings and prototypes.

The programme leads to a Level 6 Machine Learning qualification with Corndel, delivered online with live lectures, resources and self-directed learning.

Qualifikationen

  • Three A Levels with Maths (Grade B or above)
  • Five GCSEs at Grade 4/C or above, including English Language and Mathematics
  • Or Level 4/5 apprenticeship in a relevant discipline
  • Note: Computer Science graduates are not eligible due to funding restrictions.

Aufgaben

  • Reviewing technical literature and summarising relevant methods and evidence
  • Designing controlled experiments and defining clear evaluation criteria
  • Preparing data and developing proof-of-concept machine learning models
  • Analysing results, limitations, uncertainty and potential sources of bias
  • Documenting methods and communicating findings through reports, demonstrations and reviews
  • Working with experienced researchers and engineers on live research challenges

Ausbildung

A Levels
GCSEs
Level 4/5 apprenticeship

Jobbeschreibung

Thales in the United Kingdom is offering an AI Researcher Apprentice role that blends academic study with on-the-job experience. You will work with AI researchers and engineers on live projects, translating questions into evidence-based findings and prototypes.

The programme leads to a Level 6 Machine Learning qualification with Corndel, delivered online with live lectures, resources and self-directed learning.

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