Machine Learning Engineer

At Covent IT, we are looking for a skilled and motivated Machine Learning Engineer to join our growing team. In this role, you will design, build, and deploy machine learning models that solve complex real-world challenges. You will work closely with cross-functional engineering teams and hiring managers to translate business needs into robust, scalable technical solutions.
If you are passionate about clean code, scalable architecture, and the actual business impact of your models, we would love to meet you!

Key Responsibilities

• Model Development: Design, train, evaluate, and deploy production-grade machine learning models (including NLP, Predictive Analytics, and computer vision where applicable).
• Data Pipelines: Build, scale, and maintain reliable data pipelines to support model training and inference.
• Production & MLOps: Optimize ML models for high performance, scalability, and low latency in production environments; establish CI/CD pipelines for ML.
• Collaboration: Partner with software engineers and product stakeholders to design system architectures and ensure seamless model integration.
• Testing & Analytics: Run A/B tests, monitor model performance in production, and continuously iterate based on real-world data.

What We Are Looking For

• Technical Expertise: Strong proficiency in Python and core ML libraries/frameworks (e.g., PyTorch, TensorFlow, Scikit-Learn, Pandas).
• Data Skills: Solid experience with SQL/NoSQL databases and processing large-scale datasets.
• MLOps & Cloud: Hands-on experience with MLOps tools and major cloud platforms (AWS, GCP, or Azure).
• Software Engineering Mindset: Commitment to writing clean, maintainable, and well-tested code.
• Communication: Upper-Intermediate to Advanced level of English (both written and spoken) for smooth collaboration.

What We Offer

• A Supportive Culture: We highly value a collaborative atmosphere. We support each other, hold regular check-ins, and always keep a healthy sense of humor to navigate demanding weeks together.
• Impact & Growth: A role where your technical decisions directly shape the product, with plenty of space for professional growth and learning.
• Flexibility: Competitive compensation, flexible working hours, and a remote-friendly setup.