Machine Learning Engineer

Machine Learning Engineer - Contract Location: Nottingham, UK (Hybrid) Salary: £500 – £600 p/d (depending on experience) About the Role We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. This role bridges the gap between data science and software engineering, turning prototypes into production-ready systems. Key Responsibilities * Design, develop, and deploy machine learning models and pipelines in production environments * Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions * Optimize model performance, scalability, and reliability * Build and maintain data pipelines and feature engineering workflows * Monitor and retrain models to ensure continued performance over time * Implement best practices for version control, testing, and CI/CD in ML systems * Stay up to date with the latest advancements in machine learning and AI technologies Required Skills & Experience * Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn) * Experience deploying ML models using cloud platforms (AWS, Azure, or GCP) * Solid understanding of machine learning algorithms, data structures, and software engineering principles * Experience with data pipelines, APIs, and microservices architecture * Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes * Strong problem-solving skills and attention to detail Desirable Skills * Experience with big data technologies (e.g., Spark, Hadoop) * Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) * Experience working with NLP, computer vision, or recommendation systems * Understanding of data governance and security best practices Qualifications * Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience) What We Offer * Competitive rate * Flexible working arrangements (hybrid/remote options) * Collaborative and innovative work environment * Access to cutting-edge tools and technologies How to Apply Please submit your CV and a brief cover letter outlining your experience and interest in the role