Senior ML Software Developer (Brahma AI - A DNEG Dedicated Unit of Brahma)

Senior ML Software Developer (Brahma AI - A DNEG Dedicated Unit of Brahma)

Full-Time 60000 - 80000 € / year (est.) No home office possible
DNEG

At a Glance

  • Tasks: Build and deploy innovative ML solutions for VFX and animation projects.
  • Company: Join DNEG, a leading visual effects and animation company with a global presence.
  • Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on diversity and inclusion.
  • Why this job: Make a real impact in the creative industry using cutting-edge technology.
  • Qualifications: Strong Python skills and experience in software architecture required.

The predicted salary is between 60000 - 80000 € per year.

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.

As a Senior Software Developer, you will act as an architect building Python applications, high-quality tools, services, and web front-end UIs that enable award-winning VFX and feature animation work.

Your role:

  • 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.

Must Have:

  • Experience as an architect for Python applications.
  • Strong programming and shell-scripting skills (Python; Bash).
  • Experience building and troubleshooting non-trivial packages (C++11-17, CMake, autotools, setuptools/pip/poetry, RPM).
  • Linux expertise and command-line proficiency.
  • Solid grasp of systems architecture and software engineering fundamentals.
  • Ability to articulate complex technology to non-experts and collaborate openly.
  • Confidence in navigating ambiguity and providing pragmatic solutions.
  • Proactive mindset and comfort with multiple priorities.
  • Logical, methodical approach to problem solving.

Nice to Have:

  • Experience as Lead on at least one project.
  • Significant experience with a major package/ports system.
  • Experience monitoring, collecting, and analyzing diagnostics to drive resilience.
  • Practical experience with Git and issue tracking systems (Jira).
  • Familiarity with ops/CI/CD tooling (Elastic Stack, Graphite/Grafana/StatsD, Sensu, Jenkins/GitHub Actions).
  • Understanding of sysadmin responsibilities (networking, filesystems, environment management).
  • Relevant qualifications (CS/CE degree; RHCSA/RHCE, etc.).
  • Demonstrable open-source contributions.

You should apply if:

  • You enjoy building, packaging, and configuring complex software systems.
  • You enjoy acting as a team player - you know how to delegate and mentor others.
  • You are fluent across modern software development and ML tooling and like collaborating with engineers, researchers, and artists.
  • You care about efficiency, reliability, and clean engineering.

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.

Brahma AI & 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 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!

Senior ML Software Developer (Brahma AI - A DNEG Dedicated Unit of Brahma) employer: DNEG

At DNEG, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters creativity and collaboration among our diverse teams. As a Senior ML Software Developer in our London office, you'll have the opportunity to work at the forefront of technology in visual effects and animation, with access to cutting-edge tools and resources, as well as ample opportunities for professional growth and mentorship. We are committed to inclusivity and support for all employees, ensuring that everyone feels valued and empowered to contribute to our award-winning projects.

DNEG

Contact Detail:

DNEG Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior ML Software Developer (Brahma AI - A DNEG Dedicated Unit of Brahma)

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to ML and software development. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Senior ML Software Developer (Brahma AI - A DNEG Dedicated Unit of Brahma)

Python 3.x
C++17
TypeScript
JavaScript
React
FastAPI
Flask

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior ML Software Developer role. Highlight your Python expertise, experience with ML solutions, and any relevant projects you've led.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about VFX and feature animation. Share specific examples of how you've tackled complex software challenges and how you can contribute to our team.

Showcase Your Projects:If you've worked on any notable projects, especially those involving ML or VFX, make sure to include them. We love seeing real-world applications of your skills, so don't hold back!

Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people.

How to prepare for a job interview at DNEG

Know Your Tech Stack

Make sure you’re well-versed in the primary technologies mentioned in the job description, especially Python, C++, and web front-end frameworks like React or Vue. Brush up on your knowledge of CI/CD tools and Linux command-line proficiency, as these will likely come up during technical discussions.

Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled complex problems in software development or ML integration. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your logical and methodical approach to problem-solving.

Demonstrate Collaboration

Since this role involves working with global stakeholders and mentoring developers, be ready to share experiences that showcase your teamwork and communication skills. Talk about how you’ve successfully collaborated with non-experts and navigated ambiguity in past projects.

Prepare for Technical Questions

Expect in-depth technical questions related to systems architecture, software engineering fundamentals, and ML tooling. Practice explaining complex concepts in simple terms, as this will demonstrate your ability to articulate technology effectively to diverse audiences.