Head of Machine Learning - Directeur(trice) Machine Learning

DNEG; Caerphilly; On-site; GBP 80,000 - 120,000; Full time

Job summary

DNEG is seeking a Head of Machine Learning to lead research in generative models, specifically in video, audio, and language. This strategic role requires advanced leadership skills, hands-on ML experience, and the ability to innovate within a collaborative environment. You will drive the vision for AI advancements while managing a high-performing team.

Qualifications

• Proven track record in leading ML R&D teams or projects.
• Extensive experience with deep learning frameworks and programming languages.
• Strong portfolio of research and patents is a plus.

Responsibilities

• Lead research initiatives in multimodal generative models.
• Design and optimize large-scale training and fine-tuning pipelines.
• Foster a collaborative culture and mentor a diverse ML team.

Skills

Leadership

Mentorship

Communication

AI Ethics

Deep Learning

Python

Strategic Thinking

Education

Advanced degree in CS, ML, AI, or related fields

Tools

TensorFlow

PyTorch

Job description

At Brahma, we are building the future of AI-powered creative experiences. Our team of engineers, researchers, and creative technologists is developing the operating system for ethical digital storytelling. We combine award-winning visual effects expertise with cutting-edge generative AI to create tools that empower enterprises and creators to produce high-quality content at scale.

Job Description / Key Purpose of the Job:

The Head of Machine Learning will lead our research and development efforts in generative models, focusing on multimodal generation, primarily video, but also audio and language-based models. This strategic leadership role requires hands-on experience with generative models and the ability to guide teams toward innovative results. Responsibilities include designing ML architectures, managing a skilled team, and ensuring research innovations are implemented effectively in production, including audio integration and language models. The role involves building systems that coordinate visual, auditory, and textual inputs to enable rich, realistic, and controllable outputs for creative workflows.

Key Responsibilities / Job Duties

Research & Development Leadership

• Define and execute the strategic roadmap for generative ML research aligned with company objectives.
• Lead research initiatives in multimodal generative models (video, audio, language), focusing on temporal consistency and multimodal generation.
• Design and optimize large-scale training and fine-tuning pipelines.
• Drive innovation in ML architecture, evaluation, and performance optimization.
• Balance scientific experimentation with practical business outcomes.

Team Building & Development

• Build, lead, and mentor a diverse, high-performing ML team.
• Establish performance metrics, career development paths, and growth opportunities.
• Foster a collaborative culture encouraging knowledge sharing and continuous learning.
• Recruit and retain top ML talent through effective leadership.

Cross-Functional Collaboration

• Partner with product, engineering, and creative teams to integrate ML innovations into production systems.
• Translate complex ML concepts for non-technical stakeholders.
• Balance research ambitions with business needs and timelines.

Technical Strategy & Vision

• Contribute to overall company technical and product strategy.
• Evaluate emerging technologies for potential adoption.
• Establish technical standards and best practices.
• Engage with the external research community through publications and collaborations.

Job Requirements / Must Haves

• Exceptional leadership, mentorship, and communication skills.
• Proven track record in leading ML R&D teams or projects.
• Advanced degree in CS, ML, AI, or related fields.
• Extensive experience with deep learning frameworks (TensorFlow, PyTorch) and programming languages (Python).
• Deep understanding of AI ethics, fairness, and interpretability.
• Strategic thinking with a compelling vision.

Additional Skills / Nice To Have

• PhD or a strong portfolio of research and patents.
• Experience deploying large-scale models in production.
• Familiarity with cloud platforms and MLOps.
• Proficiency in languages beyond Python, such as C++.
• Ability to lead a high-performing distributed team with a clear vision.

About You

• Visionary thinker passionate about advancing AI.
• Collaborative and team-oriented.
• Resilient and adaptable in a fast-paced environment.
• Curious and committed to continuous learning.