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