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 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. The Opportunity This is a hands-on, delivery-focused role suited to a 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. Key Responsibilities * 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 About You * 3+ 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 Benefits * Competitive salary * Share options * Private medical insurance (including dental \& optical) * Pension * 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!✉️📞*