Machine Learning Engineer

Machine Learning Engineer | £50-70K | Hybrid (London) Our growing team is seeking an experienced Machine Learning Engineer to develop and deploy ML solutions that power our products. The Role: As a Machine Learning Engineer, you'll be responsible for designing, building, and deploying machine learning models and systems in production. You'll work at the intersection of data science and software engineering, translating ML algorithms into scalable production systems on AWS. Key Responsibilities: Design, develop, and deploy machine learning models into production Build scalable ML pipelines and infrastructure on AWS Implement and optimize LLM-based solutions Collaborate with data scientists and software engineers to productionize ML models Ensure ML systems meet performance, reliability, and scalability requirements Contribute to continuous improvement of ML practices and infrastructure Requirements: 2-3 years of experience in machine learning engineering or related roles Strong software engineering fundamentals and experience with SDLC Hands-on experience with AWS cloud services, particularly ML-related offerings Experience building and deploying production ML systems Practical experience with LLMs and their applications Proficiency in Python and ML frameworks (TensorFlow, PyTorch, etc.) Knowledge of containerization, CI/CD, and MLOps practices