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Junior Engineer

LinkedIn Job Wrapping

17th Floor, 5 Aldermanbury Square, London, EC2V 7HRentry
Posted
today
Source
Artefactlinkedin (greenhouse)
Field
Engineering

Skills

Machine LearningCommunicationPythonDockerAzureCI/CDAgileSQLAWSGCPGitAI

Description

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

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