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.