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# Machine Learning Engineer

- **Company:** Vermelo
- **Location:** Haywards Heath, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Cluster Analysis, DevOps, Github, R (Programming Language), Python (Programming Language), Logistic Regression, Machine Learning, Azure Machine Learning, SAS (Software), Software Engineering, SQL Databases, Google Cloud, Test-Driven Development (TDD), Pyspark, Machine Learning Operations, Software Coding, Docker, Service Stack, Databricks, Programming Languages
- **Published:** August 19, 2026
- **Apply:** https://www.totaljobs.com/job/machine-learning-engineer/vermelo-job107869780

## About the Role

* Previous experience in tuning and deploying machine learning methods
 * Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering
 * Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc.
 * Experience with deploying services in Docker and Kubernetes
 * Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches
 * Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL)
 * Experience in source-control software, e.g., GitHub
 * Proficient at communicating results in a concise manner both verbally and written
 * Experience in data and model monitoring is a plus, * A high level of professional/academic excellence, educated to at least a master's level in a STEM-based or DS / ML / AI / or mathematical discipline
 * Collaborative and team player
 * Logical thinker with a professional and positive attitude
 * Passion to innovate and improve processes

## Description

* Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical Underwriting
 * Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software.
 * Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible.
 * Tune machine learning methods for optimal performance.
 * Deploy and maintain machine learning methods in our machine learning pipeline using robust test-driven development (TDD) coding approaches, using the SOLID software development principles.
 * Actively contribute to creating a culture of coding and data excellence
 * Implement efficient solutions across a range of markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home
 * Lead and mentor junior machine learning engineers and share best practices


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