Senior Machine Learning Engineer (Brahma)

DNEG; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading visual effects company in London is seeking a Senior Machine Learning Engineer to develop generative systems for audio and video synthesis. The ideal candidate has over 5 years of experience in machine learning, strong skills in Python, and familiarity with deep learning frameworks. This role involves mentoring junior engineers and collaborating with cross-functional teams to deliver high-quality ML models in production environments. Join a diverse and inclusive team at DNEG to innovate in AI and content creation.

Qualifications

• 5+ years of experience in software engineering and machine learning.
• Proven track record of deploying ML systems in production.
• Strong experience with deep learning frameworks such as PyTorch or TensorFlow.

Responsibilities

• Research and build deep learning systems for voice synthesis.
• Collaborate with cross-functional teams for production integration.
• Mentor junior engineers and shape core infrastructure.

Skills

Experience in software engineering

Machine learning fundamentals

Deep learning frameworks (PyTorch, TensorFlow)

Proficiency in Python

CI/CD workflows familiarity

Mentoring junior engineers

Tools

AWS

GCP

Job description

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Description

Position at DNEG

Brahma is a pioneering enterprise AI company developing Astras, AI-native products built to help enterprises and creators innovate at scale. Brahma enables teams to break creative bottlenecks, accelerate storytelling, and deliver standout content with speed and efficiency. Part of the DNEG Group, Brahma brings together Hollywood's leading creative 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

About Us

We are DNEG, one of the world's leading visual effects and animation companies for the creation of award‑winning feature film, television, and multiplatform content. We employ more than 9,000 people with worldwide offices and studios across North America (Los Angeles, Montréal, Toronto, Vancouver), Europe (London), Asia (Bangalore, Mohali, Chennai, Mumbai) and Australia (Sydney).

At DNEG, we fundamentally believe that embracing our differences is a vital component of our collective success. We are committed to creating an equitable, diverse and inclusive work environment for our global teams, where everyone feels they matter and belong. We welcome and encourage applications from all, regardless of background, experience or disability. Please let us know if you need any adjustments or support during the application process, we will do our best to accommodate your needs. We look forward to meeting you!