Machine Learning Engineer

Salary: £18,000 – £21,600 per year

Requirements

• 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
• Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience)

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

Technologies

• AI
• AWS
• Azure
• CI/CD
• Cloud
• Docker
• GCP
• Kubernetes
• Machine Learning
• PyTorch
• Python
• TensorFlow
• microservices
• Big Data
• Computer Vision
• Hadoop
• Kubeflow
• Security
• Spark

More

We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham, UK. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. Our collaborative and innovative work environment offers flexible working arrangements, access to cutting-edge tools, and technologies. We provide a competitive rate for our employees.

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