Machine Learning Engineer

At Why Hiring, we believe in the power of connecting talented individuals with incredible remote job opportunities. Our mission is to simplify the job search process and empower professionals to find fulfilling roles that align with their skills and passions, regardless of geographical constraints. Why Hiring is setting the benchmark in both permanent and contract recruitment for Tech clients. We’re currently partnering with a fast\-growing, data\-driven company operating at scale, and they are looking for a Machine Learning Engineer to join their team. **In this role, you will:** • Work closely with data scientists and engineers • Build and deploy machine learning models • Design and optimize scalable data systems • Contribute to real\-time decision\-making across large\-scale operations If you're excited about building impactful ML systems in a fast\-paced, real\-world environment, this could be a great fit. In this role, you will be responsible for building and maintaining scalable machine learning models that support data\-driven features across digital products and internal systems. You will contribute to the design and optimization of data architecture to ensure efficient storage, processing, and accessibility of data. You will also develop predictive models to support operational planning and performance improvement, while working on data pipelines to ingest, transform, and manage data from various sources. Collaborating closely with cross\-functional teams, you will help translate data needs into practical solutions and support data\-informed decision\-making across the organization. **This position might suit you, if you have:** • Strong foundations in mathematics, statistics, and data modelling, with the ability to interpret patterns and generate meaningful insights • Experience in developing and deploying machine learning solutions in real\-world environments • Experience with data architecture, data engineering best practices, and building scalable data systems • Proficiency in data modelling, database design, and managing structured data • Solid programming skills, particularly in Python and SQL, along with experience in data processing frameworks • Good understanding of core machine learning techniques, with the ability to apply appropriate models to business problems • Familiarity with cloud environments and modern data infrastructure • Willingness to expand into backend development to support model deployment and integration • Understanding of data quality, versioning, and governance practices • Experience with build, deployment, and automation processes **What’s offered in this role** • Comprehensive health and wellbeing support • A collaborative, friendly, and inclusive team environment • Access to wellness initiatives • The opportunity to be part of a fast\-growing, well\-funded company • A flexible and supportive workplace culture • Regular team gatherings and social events • Additional support for work\-life balance when needed