Machine Learning Engineer

Location: Nottingham, UK (Hybrid)

Check out the role overview below If you are confident you have got the right skills and experience, apply today.
Salary: £500 – £600 p/d (depending on experience)

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.

• 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

• 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

• Experience with big data technologies (e.g., Spark, Hadoop)
• Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow)
• Experience working with xwzovoh NLP, computer vision, or recommendation systems
• Understanding of data governance and security best practices

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience)

• Competitive rate
• Flexible working arrangements (hybrid/remote options)
• Collaborative and innovative work environment
• Access to cutting-edge tools and technologies

Please submit your CV and a brief cover letter outlining your experience and interest in the role.