Job Description

Build algorithms that can learn patterns from data and improve over time. Use large datasets to teach systems how to make predictions, and test them to ensure they work correctly. Clean, organize, and analyze data to prepare it for machine learning tasks. Write code that uses machine learning to solve real-world problems. Track how well the models perform and make improvements when needed. Work closely with data scientists, engineers, and business teams to understand goals and deliver AI-powered solutions. Keep learning about new machine learning techniques, tools, and best practices. Strong programming skills in Python or a similar language Experience with machine learning libraries like Scikit-learn, TensorFlow, or PyTorch Knowledge of data analysis, statistics, and mathematics Understanding of algorithms and model evaluation techniques Familiarity with data processing tools (e.g., Pandas, NumPy) Ability to work with structured and unstructured data Bachelor's or Master's degree in Computer Science, Engineering, or a related field Experience with deep learning, natural language processing (NLP), or computer vision Knowledge of cloud computing platforms (e.g., AWS, Google Cloud, Azure) Understanding of MLOps practices for deploying and managing machine learning models in production Strong communication and problem-solving skills
Job Types: Full-time, Permanent

Pay: 45,877.00-58,723.00 per year

Work Location: Hybrid remote in Birmingham B18 6BA

Application deadline: 31/07/2025