Senior Machine Learning Engineer

Enso Recruitment is proud to be working with a fast-growing, data-driven SaaS organisation delivering predictive analytics and AI solutions to critical infrastructure sectors. Their platform uses advanced data science, machine learning, and cloud technologies to solve real-world operational and environmental challenges.

They are now seeking a Senior Machine Learning Engineer to join their Data & Modelling team and play a key role in developing and deploying ML-driven features into a live production platform.

This is a hands‑on, delivery-focused role suited to a Senior Machine Learning Engineer who enjoys taking ownership of problems from ideation through to deployment.

You’ll contribute to the design, development, and scaling of predictive models that operate on complex time‑series, environmental, and sensor‑based datasets. The role offers the opportunity to work on meaningful, real‑world challenges where your models will directly influence product outcomes and customer impact.

• Develop and deploy predictive ML models within a cloud‑based SaaS platform
• Perform exploratory data analysis and visualisation on large‑scale datasets
• Design scalable feature engineering and data transformation pipelines
• Work with time‑series, geospatial, and environmental sensor data
• Lead the development of new ML‑driven product features from proof‑of‑concept to production
• Collaborate closely with domain experts to shape modelling approaches
• Present insights and technical findings to both internal and external stakeholders
• Contribute to CI/CD workflows and continuous delivery practices
• Support testing, debugging, and optimisation of deployed models
• Continuously identify opportunities for improvement across modelling processes

• 5+ years’ experience in Data Science, Machine Learning Engineering, or a related discipline
• Strong Python expertise (Pandas, Scikit-learn or similar ML frameworks)
• Experience with data exploration, analysis, and visualisation
• Experience building and deploying predictive models in production environments
• Strong understanding of feature engineering and data transformation
• Ability to conceptualise solutions and communicate clearly to stakeholders
• Collaborative mindset with the ability to operate in a fast‑paced, growing environment
• Curious, proactive, and passionate about applying ML to real‑world problems
• Pension
• 24 days annual leave plus statutory holidays
• Birthday leave
• Enhanced parental leave
• On‑site parking

To find out more about this opportunity, hit Apply or reach out to a member of the Enso Recruitment team today!✉️📞