At a Glance
- Tasks: Join our team to work on exciting engineering projects and enhance your skills.
- Company: Artefact, a global consulting firm leading in data and AI innovation.
- Benefits: Gain training, certification, and experience in a dynamic, supportive environment.
- Other info: Opportunities for growth in a collaborative, international team.
- Why this job: Kickstart your career in tech with real-world projects and mentorship from experts.
- Qualifications: Graduating in 2026 with a relevant degree and strong programming skills.
The predicted salary is between 28000 - 38000 £ per year.
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 and we partner with 1,000+ clients.
As a Graduate Junior Engineer in our London office starting in September 2026, 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: You will be graduating in 2026 with 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.
Junior Engineer (Graduate) employer: LinkedIn Job Wrapping
As a Graduate Data & AI Engineer in our London office, you'll be part of a dynamic team that values collaboration and innovation. We offer comprehensive training and development opportunities to help you grow your skills in software engineering and data science, all within a supportive work culture that encourages learning and professional advancement. Join us to kickstart your career in a vibrant city known for its tech scene and diverse community.
