π€ Junior AI Engineer (0β2 years) | Competitive Salary | London & Luton | Hybrid Working
π Are you a Junior AI Engineer looking to kick-start your career working on real-world machine learning systems used at scale?
Weβre looking for a curious and motivated Junior AI Engineer to join a collaborative, data-driven technology team, working in a flexible hybrid setup with offices in London and Luton. This role is ideal for someone early in their career whoβs excited about applied AI, enjoys building things that go into production, and wants to learn from experienced engineers in a fast-moving environment.
Youβll be part of a modern engineering function working on large-scale data and AI products, contributing to model development, data pipelines, and deployment workflows that power mission-critical platforms.
π In this role, youβll:
π€ Build, train, and evaluate machine learning models using Python
π Work with large, complex datasets to support AI-driven products and insights
π§ Assist with feature engineering, model experimentation, and performance optimisation
βοΈ Contribute to data and ML pipelines in cloud-based environments
π Work with structured and semi-structured data using SQL
π Support the deployment and monitoring of models in production environments
π€ Collaborate closely with data engineers, software engineers, and product teams
π Help maintain best practices around testing, documentation, and reproducibility
π Whatβs in it for you?
π Career Development β Hands-on experience, mentorship from senior AI and data engineers, and clear progression paths
π‘ Learning Culture β A team that encourages curiosity, experimentation, and continuous improvement
π’ Hybrid Working β A flexible mix of remote work and time in London and Luton offices
π Real-World Impact β Work on AI systems used by global customers at scale
π° Competitive Package β Salary and benefits based on experience, including bonus, pension, and generous annual leave
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What weβre looking for:
π A degree in Computer Science, AI, Data Science, Mathematics, Engineering, or a related field
πΌ 0β2 years of experience in AI, machine learning, or software/data engineering (including internships, placements, or academic projects)
π Strong Python skills for ML and data processing
π Experience working with SQL and structured datasets
βοΈ Familiarity with cloud platforms and modern data stacks
π§ A solid understanding of machine learning fundamentals and data workflows
π¬ Strong communication skills and a collaborative mindset
β Big bonus points for:
βοΈ Experience with Snowflake
π§± Experience with Databricks
βοΈ Exposure to ML pipelines, MLOps, or production ML systems
If youβre excited about building AI systems, learning fast, and growing your career in a supportive, high-impact environment, weβd love to hear from you.
π Apply now and take the next step in your AI engineering career.