About the role
At Camlin, we develop technologies that help customers improve operational performance through asset monitoring, asset optimization, and predictive maintenance.
As a Data & ML Engineer, you'll help turn complex industrial data and domain knowledge into valuable product capabilities. Working closely with engineers, product teams, and domain experts, you'll combine data engineering, statistical modeling, machine learning, and practical implementation to solve real-world problems.
You'll have the opportunity to explore challenges, identify promising approaches, and turn them into effective, reliable solutions. We're looking for someone who combines analytical thinking with an engineering mindset, takes a pragmatic approach to problem-solving, and focuses on creating tangible value for our customers.
Responsibilities
- Translate product and engineering challenges into practical, data-driven solutions in collaboration with relevant stakeholders.
- Explore and analyze complex datasets to identify patterns, anomalies, and opportunities for improvement.
- Develop and evaluate statistical models and machine learning approaches for applications such as asset monitoring, predictive maintenance, forecasting, and optimization.
- Build and improve data pipelines, transformations, and supporting tooling to enable reliable data-driven capabilities.
- Turn analytical findings and modeling approaches into practical, maintainable implementations that can be integrated into our products.
- Evaluate performance, investigate issues, and continuously improve solutions based on data, technical evidence, and real-world results.
- Make sound technical decisions, balancing effectiveness, complexity, maintainability, and implementation effort.
- Communicate findings and technical trade-offs clearly, working across engineering, product, and domain teams.
What you'll need
- Strong Python programming skills and proficiency in SQL.
- Practical experience with data analysis, statistical modeling, and machine learning.
- Knowledge of relevant techniques such as classification, regression, anomaly detection, forecasting, or optimization.
- Experience working with complex datasets and developing data-driven solutions.
- Solid engineering fundamentals, including Git, testing, documentation, and maintainable code.
- Understanding of data pipelines, data quality, model evaluation, and validation.
- A pragmatic, results-oriented mindset, with the ability to take ownership of problems from initial investigation through implementation.
- Strong problem-solving, communication, and collaboration skills.
What will help you stand out
- Experience with industrial, IoT, sensor, or time-series data.
- Familiarity with predictive maintenance, asset monitoring, or industrial optimization.
- Experience integrating and maintaining data-driven capabilities in production environments.
- Experience working with domain experts to translate complex operational problems into practical technical solutions.
Benefits:
- Daily food vouchers: for days worked in person in the premises.
- Training Support: We offer financial assistance for your training and development, based on company discretion. We also have an internal training platform to support your professional and personal development.
- Discounted Gym Membership: Stay fit with our discounted gym membership program.
- Wellness Programs: We prioritise your well-being through our wellness initiatives.
- Internal Reward & Recognition Tool Kudos: This streamlines and automates the process of acknowledging and appreciating employees and helps contribute to our positive workplace culture.
Our Values
- We work together
- We believe in people
- We won't accept the 'way it has always been done'
- We listen to learn
- We're trying to do the right thing
Equal Employment Opportunity Statement
Individuals seeking employment at Camlin are considered without regards to race, colour, religion, national origin, age, sex, marital states, ancestry, physical or mental disability, gender identity or sexual orientation.