Senior Machine Learning Engineer - LLM & Deep Learning Specialist

Job Title: Senior Machine Learning Engineer - LLM & Deep Learning Specialist Location: London/Remote Job Type: Full-Time Salary: Competitive. Open to contract or permanent options About the Client: Our client is a leading innovator in the technology sector, renowned for developing state-of-the-art machine learning and AI solutions that transform industries. They are currently seeking a highly skilled Senior Machine Learning Engineer to join their team and contribute to the development and deployment of advanced AI models. This is an exciting opportunity to work with a forward-thinking company that values creativity, innovation, and expertise. Role Overview: As a Senior Machine Learning Engineer, you will play a pivotal role in designing and integrating cutting-edge functionalities into Large Language Models (LLMs). You will lead the deployment of these models in commercial environments, ensuring their scalability and performance meet the highest standards. This position requires a deep understanding of reinforcement learning and strong expertise in deep learning to drive innovation and success in AI projects. Key Responsibilities: LLM Integration: Develop and integrate advanced features into LLMs, enhancing their capability and adaptability for real-world applications. Commercial Deployment: Lead the deployment of LLMs in production environments, ensuring robust and scalable solutions tailored to business needs. Reinforcement Learning: Utilize your expertise in reinforcement learning to optimize decision-making processes and improve model performance. Deep Learning: Apply deep learning techniques to design, train, and refine neural networks, ensuring high accuracy and efficiency. Collaboration: Work closely with cross-functional teams, including data scientists and product managers, to ensure alignment with business objectives. Continuous Innovation: Stay current with industry trends and research, applying new insights to enhance existing models and processes. Candidate Requirements: Experience: Hands-on experience deploying LLMs in a commercial setting. Proven track record in integrating advanced functions into LLMs. Strong background in reinforcement learning and deep learning. Technical Proficiency: Expertise in Python and machine learning frameworks such as TensorFlow, PyTorch, etc. Experience with LLMs (e.g. GPT, BERT) and cloud platforms (AWS, GCP, Azure). Deep understanding of model optimization, evaluation metrics, and deployment best practices. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills to convey complex concepts to non-technical stakeholders. A collaborative mindset with a passion for continuous learning and mentoring.