# Junior Engineer at Artefact

> United Kingdom · Junior · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Aartefact%3A8421835002 (read 2026-11-06).

## Facts (observed)

- Company: [Artefact](https://alderhq.app/companies/artefact)
- Location text: 17th Floor, 5 Aldermanbury Square, London, EC2V 7HR; London
- Where it can be done from (inferred): United Kingdom (evidence: "Location: 17th Floor, 5 Aldermanbury Square, London, EC2V 7HR; London")
- Posted: 2026-02-13 (266 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/artefact/jobs/8421835002
- Skills listed (inferred): Python, AWS, GCP, Azure, Docker, SQL

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (London, n 4): p25 £45k, median £52k, p75 £72k

## Description (the employer's text)

### 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 1,700 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 Software 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 & 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.
Hybrid working pattern

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aartefact%3A8421835002 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.