Senior Machine Learning Engineer (Brahma)

DNEG Group; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading company in the AI space seeks a Senior Machine Learning Engineer. Join a pioneering team working on generative audio and video synthesis systems. The role commands advanced technical expertise in deep learning and machine learning systems, focusing on innovative solutions in a fast-paced environment.

Qualifications

• 5+ years of experience in software engineering and machine learning.
• Strong experience with PyTorch or TensorFlow.
• Experience with training diffusion, transformer, or generative video models.

Responsibilities

• Research and build deep learning systems for voice synthesis.
• Shape core infrastructure and set best practices.
• Integrate work into production-ready pipelines.

Skills

Machine Learning fundamentals

Deep Learning frameworks

Python

Mentoring junior engineers

Job description

Brahma is a pioneering enterprise AI company developing Astras, AI-native products built to help enterprises andcreators innovate at scale. Brahma enables teams to break creative bottlenecks, accelerate storytelling, and deliverstandout content with speed and efficiency. Part of the DNEG Group, Brahma brings together Hollywood’s leadingcreative technologists, innovators in AI and Generative AI, and thought leaders in the ethical creation of AI content.

We are looking for a Gen AI Researcher for Audio to join our team and help develop next-generation voice synthesis models. You'll research and build deep learning systems that can generate expressive, natural-sounding speech from text or audio prompts, and collaborate with cross-functional teams to integrate your work into production-ready pipelines.

We are looking for a Senior Machine Learning Engineer to join our team and help build state-of-the-art generative systems for video and audio synthesis, performance transfer, and visual translation. This role is hands-on and technical, requiring experience in training and deploying deep learning models, a solid engineering mindset, and the ability to work cross-functionally with research, product, and creative teams. As a senior member of the team, you’ll shape core infrastructure, set best practices, communicate with stakeholders, and mentor junior engineers while delivering high-quality ML pipelines in production environments.

Must Haves

• 5+ years of experience in software engineering and machine learning.
• Proven track record of deploying ML systems in production.
• A strong understanding of Machine Learning fundamentals.
• Strong experience with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with training diffusion, transformer, or generative video models.
• Proficiency in Python.
• Experience building and maintaining scalable infrastructure (AWS, GCP, or custom solutions).
• Familiarity with CI/CD workflows, testing, and development best practices.
• Ability to mentor junior engineers and work independently.

Nice to Have

• Prior experience in generative AI for video, audio, or multimodal content.
• Experience with performance optimisation for ML models and pipelines.
• Background in computer graphics, real-time rendering, or VFX pipelines.
• Open-source contributions or published research in machine learning.
• Entrepreneurial mindset or experience working with startups or fast-paced teams.

About You

• Innovative and solutions driven.
• Embrace challenges
• Adaptable
• Calm under pressure
• Strong communication skills