A
Artefactlinkedin~1mo ago
Junior Engineer
London,Londonentry
OtherData EngineeringEngineer
13 views0 saves0 applied
Quick Summary
Requirements Summary
Necessary education and experience Education: A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field.
Technical Tools
awsazuredockergcppythonsqlagileci-cddsamachine-learning
- 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.
Responsibilities
~1 min readAs 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.
Requirements
~1 min read- 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.
- 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
Location & Eligibility
Where is the job
London
On-site at the office
Who can apply
Same as job location
Listed under
Worldwide
Listing Details
- First seen
- March 26, 2026
- Last seen
- May 14, 2026
Posting Health
- Days active
- 48
- Repost count
- 0
- Trust Level
- 23%
- Scored at
- May 14, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application · ~5 min on Artefactlinkedin's site
Please let Artefactlinkedin know you found this job on Jobera.
4 other jobs at Artefactlinkedin
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Junior Engineer