Context World Limited Careers and Employment

Junior Machine Learning Engineer

9 October 2025
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Deadline date:
£50000 - £100000 / year

Job Description

CONTEXT’s services are powered by the largest database of IT distribution sales on the planet. By harnessing unique insights from over $200 billion of global IT transactions, CONTEXT empowers leading technology companies around the world to uncover definitive market trends and make key strategic decisions with confidence. As a certified B Corporation, CONTEXT is committed to meeting the highest standards of social and environmental performance, transparency, and accountability, ensuring that their business practices contribute positively to society and the environment.

Position: Contractor, Full-Time
Location: Remote, Offshore (GDPR-Compliant)
Job Overview:

Utilising machine learning algorithms and AI solutions to analyse large datasets and drive data-driven decisions, while collaborating with teams to improve current workflows.

Main Tasks and Accountabilities

  • Collect, analyse, and interpret large datasets to help businesses make data-driven decisions.

  • Create and design mathematical algorithms that can process large amounts of data accurately and quickly.

  • Aide with integration of systems into CONTEXT data workflow.

  • Test algorithms and follow up on answer validation.

  • Review and analyse feedback to improve existing solutions.

  • Work in collaboration with other teams.

Experience/Knowledge/Qualification required

  • Excellent command of English, both spoken and written.

  • Qualification/certification related to Machine Learning or relevant experience.

  • Good knowledge of Machine Learning techniques.

  • Proficient in SQL.

  • Proficient in Python.

  • Interest in Natural Language Processing (NLP) and large language models (LLM).

  • Knowledge of Deep Learning frameworks (Tensorflow, PyTorch, Transformers, etc).

  • Knowledge of agentic workflows and LLM agent design would be a plus (optional).

  • Knowledge of design patterns would be a plus (optional).

  • AWS knowledge would be a plus (optional).

  • Data visualisation knowledge would be a plus (optional).

Character and Personal Qualities

  • Creative mind, able to think outside the box and good problem-solving skills.

  • Ability to explain complex systems and algorithms to non-technical people.

  • Effective communicator able to communicate at all levels of the organisation.

  • Willingness to learn and progress.


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