JobHabor
Menu

Junior Engineer

LinkedIn Job Wrapping · 17th Floor, 5 Aldermanbury Square, London, EC2V 7HR

Strong hiring record · median 33 days open

100100

Hiring signal

Actively hiring

Still listed on the employer's own board · How we score

All reasons

In its favour

  • Still listed on the employer's own board

Did you apply?

Junior Engineer at LinkedIn Job Wrapping. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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

More jobs at LinkedIn Job Wrapping

All 77

Similar roles