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Junior Engineer

17th Floor, 5 Aldermanbury Square, London, EC2V 7HR
Level
Junior

Not stated in the posting: salary, work type, visa.

Open. First seen 14 October 2026.

About the role

Who we are

  • Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung.
  • Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts.
  • Our 1,800 employees operate in 25 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients.

What you will be doing

As a Junior Engineer in our London office, your role will encompass:

  • working on engineering projects together with senior team members
  • training and certification to enhance your skills in software engineering, data science, and data architecture.

Qualifications

Necessary education and experience

  • Education: A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field.
  • Programming Proficiency: Strong programming skills in Python and a solid understanding of data structures and algorithms.
  • Software Engineering Fundamentals: A demonstrable understanding of version control and repository tools (Git, CI/CD) and a commitment to writing clean, well-documented code.
  • Data Skills: Experience with SQL for querying relational databases.
  • Problem-Solving Skills: An analytical mindset with the ability to break down complex problems into manageable steps.
  • Eagerness to Learn: A genuine passion for technology and a proactive attitude towards self-development and learning new skills, as demonstrated through projects or coursework.
  • Communication & Collaboration: Strong verbal and written communication skills, with the ability to work effectively in a team environment and learn from senior members.

Desirable experience

  • Cloud and MLOps Exposure: Basic familiarity with a cloud platform (AWS, GCP, or Azure) and an awareness of concepts like containerization (Docker).
  • Core ML Knowledge: A good grasp of fundamental machine learning concepts, including supervised/unsupervised learning, model evaluation techniques, and feature engineering.
  • Advanced Education: A Master's degree or PhD in a relevant field is a strong plus.

Please send your CV to hr-uk@artefact.com

What this role asks for

Particular to this role

Docker · Git

Rare in LinkedIn Job Wrapping's other 56 open postings.

In most of LinkedIn Job Wrapping's ads

Machine Learning · Python

Named in most of its open postings, whatever the role.

Read against LinkedIn Job Wrapping's other open postings on this site.

The team: Data Engineering HIRES STEADILY

This role is one of 17 open in Data Engineering. 5 were posted in the last 30 days and the oldest in July: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

AWS (15 of 17), Python (15 of 17), CI/CD (13 of 17), GCP (13 of 17), Azure (12 of 17), Machine Learning (12 of 17), React (9 of 17)

OTHER ROLES ON THIS TEAM

From the team and dates on LinkedIn Job Wrapping's own job board.

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