At a Glance
- Tasks: Develop and deploy ML models to solve real-world challenges in a dynamic SaaS environment.
- Company: Fast-growing, data-driven SaaS organisation focused on predictive analytics and AI solutions.
- Benefits: Share options, pension, enhanced parental leave, and on-site parking.
- Other info: Join a passionate team and enjoy excellent career growth opportunities.
- Why this job: Make a real impact with your ML skills while tackling meaningful operational challenges.
- Qualifications: 3+ years in Data Science or Machine Learning, strong Python skills, and collaborative mindset.
The predicted salary is between 60000 - 80000 £ per year.
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
Share options, 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!
Machine Learning Engineer employer: Enso Recruitment
Enso Recruitment is an exceptional employer, offering a dynamic work culture in Belfast that fosters collaboration and innovation. With a focus on employee growth, we provide ample opportunities for professional development and a competitive salary package, including a pension scheme, making it a rewarding place to advance your career in software delivery.
