REQUIREMENTS:

• MS or PhD in Computer Science (with focus on Machine Learning preferred)
• Proven experience in managing ML teams, including career development and performance management
• Hands-on experience with in-house model training and fine-tuning
• Experience with LLMs, RAG, and embedding techniques
• Strong Python, PyTorch, and Kubernetes skills
• Track record of deploying trained LLMs to production environments
• Excellent communication and leadership skills, with the ability to mentor and motivate a collaborative team
  This is a rare chance to shape the ML strategy of a highly ambitious company in a market with significant growth potential. The successful candidate will report to the VP of Engineering and play a central role in defining the future of the product.

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- Consultant: Richard Hindmarch
At Orbis Group, we are committed to creating an inclusive and diverse workplace. Research indicates that candidates, especially from underrepresented backgrounds, often hesitate to apply for jobs if they don’t meet every qualification.
If you’re excited about a role but don’t perfectly align with every requirement, we encourage you to apply. Your unique skills and experiences may be the perfect fit for the job or other opportunities that arise

• Lead and grow a high-calibre ML engineering team focused on enhancing core machine learning capabilities
• Work hands-on across the LLM stack, including fine-tuning, inference, evaluation, and deployment
• Collaborate closely with ML researchers and product stakeholders
• Build infrastructure and tools to streamline the model development lifecycle
• Define team vision, set goals, and attract top-tier talent
• Translate business needs into scalable technical solutions, balancing performance and cost considerations