AI/ML Engineer

AI/ML Engineer Exciting opportunity to join a leading technology firm in London as an AI/ML Engineer. If you have a strong background in AI and machine learning, particularly in generative models and large language models, we want to hear from you! Location: Remote. Salary: £90,000-£110,000 Key Responsibilities: Develop, implement, and optimise AI/ML models focusing on large language models and generative AI. Collaborate with software engineers to integrate AI components into production systems. Design and maintain efficient machine learning pipelines for large-scale data processing. Deploy and manage AI/ML solutions using cloud platforms (AWS, Google Cloud). Build and maintain RESTful APIs to enable AI services for diverse applications. Engage in data preprocessing and feature engineering to ensure high-quality inputs for AI models. Conduct benchmarking and performance optimization to enhance model accuracy and efficiency. Participate in the entire software development lifecycle, including requirements gathering, design, implementation, testing, and deployment. Stay updated on the latest advancements in AI/ML and apply them to improve system capabilities. Qualifications: 3+ years of experience in AI/ML engineering, with proven expertise in building large language models from scratch. Strong proficiency in Python and familiar with popular AI/ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn). Experience working with transformer-based architectures and LLMs. Knowledge of vector databases and experience with embeddings for applications like product recommendations. Proven experience using cloud services (AWS, Google Cloud) for machine learning model deployment. Hands-on experience in data processing techniques for AI/ML workflows. Understanding of CI/CD pipelines, version control systems (GitHub), and containerization (Docker, Kubernetes). Excellent problem-solving skills and experience troubleshooting complex AI/ML challenges, including deep learning and neural networks. Preferred Qualifications: Prior experience with fine-tuning large language models or generative models for specific tasks. Familiarity with distributed systems and parallel processing for large-scale training. Knowledge of messaging systems (e.g., Kafka, RabbitMQ). Understanding of various activation functions, loss functions, and neural network architectures. Strong communication and collaboration skills. Education: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. If this exciting opportunity looks like it could be your next role, click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status. Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants. Check us out on our  or contact (url removed) Austin Fraser International Ltd is registered in England: (phone number removed) Austin Fraser International Ltd, 33 Soho Square, London, W1D 3QU