Enso Recruitment
Machine Learning Engineer
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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.
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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
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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!✉️📞
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