Senior Machine Learning Engineer

Machine Learning Engineer

London – (3 days a week in office)

Up to £90,000

About the Role

Our client is a data-driven organisation focused on delivering measurable operational and financial improvements across a range of industries. They combine deep technical expertise with real-world delivery to design, build and deploy machine learning solutions that create tangible business impact.

As a Machine Learning Engineer, you’ll work closely with Data Scientists, Data Engineers and delivery teams to productionise models and build robust, scalable ML systems within client environments. This role is highly hands-on, with a strong focus on deployment, performance and reliability.

Key Responsibilities

• Translating data science models into scalable, production-ready machine learning solutions.
• Designing and building end-to-end ML pipelines, from data ingestion to deployment and monitoring.
• Collaborating with data engineers on data architecture, pipelines and feature stores.
• Working closely with data scientists to productionise models and improve performance.
• Deploying, monitoring and maintaining machine learning models in live environments.
• Implementing testing, validation and monitoring frameworks to ensure model reliability and impact.

Your work will focus on delivering high-value ML solutions, including:

• Productionising optimisation and predictive models at scale.
• Building systems to anticipate and prevent operational downtime.
• Deploying churn and customer behaviour models into live decision-making systems.
• Enabling next-best-action and recommendation engines for commercial teams.
• Supporting geospatial and advanced analytical models with robust ML infrastructure.

What We’re Looking For

• 2+ years’ experience building and deploying production machine learning systems.
• A strong academic background (Bachelor’s degree 2:1 or above in a quantitative subject).
• Strong Python skills and experience with ML frameworks (e.g. scikit-learn, TensorFlow, PyTorch).
• Experience with model deployment, monitoring and ML pipelines (e.g. CI/CD, MLOps concepts).
• A collaborative mindset with strong communication skills and experience working in cross-functional teams.

If this role looks of interest, apply below.