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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