Machine Learning Engineer

Junior Machine Learning Engineer (0–2 years) | Competitive Salary | London | Hybrid Working

Are you a Junior Machine Learning Engineer looking to kick-start your career working on real-world ML systems used at scale?

We're looking for a curious and motivated Junior Machine Learning Engineer to join a collaborative, data-driven technology team, working in a flexible hybrid setup based in London. This role is ideal for someone early in their career who's excited about applied machine learning, enjoys building solutions that move 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 ML products, contributing to model development, data pipelines, and deployment workflows that power business-critical platforms.

In this role, you'll:

Build, train, and evaluate machine learning models using Python

Work with large, complex datasets to support ML-driven products and insights

Assist with feature engineering, experimentation, and model 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 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 the London office

Real-World Impact – Work on ML systems used by 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, Machine Learning, Data Science, Mathematics, Engineering, or a related field

0–2 years of experience in machine learning, AI, 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:

Exposure to ML pipelines, MLOps, or production ML systems

Experience with tools such as Databricks, Snowflake, or similar platforms

Familiarity with version control, testing practices, or CI/CD workflows

If you're excited about building machine learning solutions, 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 ML engineering career.