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.

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