Company: DNEG
Location: London
Posted: March 25th, 2026
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Position at DNEG
ML Technology
The ML Technology department at Brahma DNEG-Dedicated Unit (Brahma DDU) explores, tests, and deploys machine-learning and automation solutions to support the technology and infrastructure that powers DNEG's multi-site, global VFX and Feature Animation studio. With thousands of artists producing tens of thousands of shots across film, TV, and immersive experiences, we face complex scaling and workflow challenges.
Your role:
Software Development
Deploy ML solutions and integrate AI tooling within the VFX pipeline with minimal burden on artists and production.
Design and build web front-end UIs (dashboards, curation tools, job control, review) that make ML/automation workflows intuitive and accessible.
Collaborate with global stakeholders and architects to implement cost-effective data and MLOps pipelines; document methodologies.
Build, package, and configure complex software systems across Linux.
Improve efficiency, stability, and observability through profiling, metrics, and tracing.
Validate work with methodical testing (unit/integration/e2e).
Write clear technical documentation and workflow guides for artists and developers.
Manage escalated troubleshooting and debugging for ML-driven tools and services.
Work collaboratively under tight deadlines; mentor developers, assign tasks where appropriate, and report to the Head of ML Technology.
Engineering quality and coding standards:
Enforce standards via CI: formatting (e.g., black/clang-format), linting (ruff/eslint, clang-tidy), typing (Python type hints, TypeScript), and test coverage gates.
Require code reviews for all merges; maintain modular, testable designs with clear separation of concerns and DCC-agnostic cores where applicable.
Documented APIs (OpenAPI/Protobuf), versioned schemas, and backward-compatible changes.
Secure-by-default practices (authn/z, secrets management), performance budgets, and telemetry by design.
Primary technologies (coding language setup):
Languages: Python 3.x (tooling and ML integration), C++17 (performance-critical components), TypeScript/JavaScript (web UIs).
Web front-end: React (or Vue), modern build tooling, REST/GraphQL clients.
Services: FastAPI/Flask, gRPC/HTTP; containerized on Linux.
Build/packaging: CMake; setuptools/pip/poetry; RPM/deb where appropriate.
VCS/CI: Git; GitHub/GitLab CI or Jenkins.
You should apply if:
This role is crucial to implementing seamless ML capabilities across the DNEG/Brahma group, directly improving the tools that power projects from blockbuster features to premium television.
ADG is committed to nurturing a diverse and exciting workplace. Our teams have a variety of backgrounds and originate from a number of different countries, working across the globe at the forefront of technology in the industry.
DDU (DNEG Dedicated Unit) operates within BRAHMA AI and works closely with DNEG to develop technology used directly in production.
The team builds tools, platforms and workflows that support VFX and Feature Animation pipelines across DNEG's global studios.
Much of the work focuses on artist-facing tools, large production pipelines, simulation and rendering workflows, and systems that need to run reliably across distributed teams.
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 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!