Artificial Intelligence Engineer
Junior AI Engineer (0–2 years) | Competitive Salary | London & Luton | Hybrid Working
Are you a Junior AI Engineer looking to kick-start your career working on real-world machine learning systems used at scale?
We're 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 who's excited about applied AI, enjoys building things that go into production, and wants to learn from experienced engineers in a fast-moving environment.
You'll 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.
In this role, you'll:
Build, train, and evaluate machine learning models using Python
Work with large, complex datasets to support AI-driven products and insights
Assist with feature engineering, model experimentation, and performance optimisation
Contribute to data and ML pipelines in cloud-based environments
Work with structured and semi-structured data using SQL
Support the deployment and monitoring of models in production environments
Collaborate closely with data engineers, software engineers, and product teams
Help maintain best practices around testing, documentation, and reproducibility
What's in it for you?
Career Development – Hands-on experience, mentorship from senior AI and data engineers, and clear progression paths
Learning Culture – A team that encourages curiosity, experimentation, and continuous improvement
Hybrid Working – A flexible mix of remote work and time in London and Luton offices
Real-World Impact – Work on AI systems used by global customers at scale
Competitive Package – Salary and benefits based on experience, including bonus, pension, and generous annual leave
What we're looking for:
A degree in Computer Science, AI, Data Science, Mathematics, Engineering, or a related field
0–2 years of experience in AI, machine learning, or software/data engineering (including internships, placements, or academic projects)
Strong Python skills for ML and data processing
Experience working with SQL and structured datasets
Familiarity with cloud platforms and modern data stacks
A solid understanding of machine learning fundamentals and data workflows
Strong communication skills and a collaborative mindset
Big bonus points for:
Experience with Snowflake
Experience with Databricks
Exposure to ML pipelines, MLOps, or production ML systems
If you're excited about building AI systems, learning fast, and growing your career in a supportive, high-impact environment, we'd love to hear from you.
Apply now and take the next step in your AI engineering career.