At a Glance
- Tasks: Develop and deploy ML solutions in the VFX pipeline, enhancing artist workflows.
- 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 innovation and inclusivity.
- Why this job: Make a real impact in the creative industry using cutting-edge AI technology.
- Qualifications: Strong Python skills, experience with Linux, and a proactive problem-solving mindset.
The predicted salary is between 60000 - 100000 £ per year.
Requirements
- We have experience as an architect for Python applications.
- We have strong programming and shell-scripting skills, especially in Python and Bash.
- We have experience building and troubleshooting non-trivial packages, including C++11-17, CMake, autotools, setuptools, pip, poetry, and RPM.
- We have Linux expertise and command-line proficiency.
- We have a solid grasp of systems architecture and software engineering fundamentals.
- We can articulate complex technology to non-experts and collaborate openly.
- We are confident navigating ambiguity and providing pragmatic solutions.
- We have a proactive mindset and are comfortable with multiple priorities.
- We take a logical, methodical approach to problem solving.
- Nice-to-have experience includes leading at least one project.
- Nice-to-have experience includes significant work with a major package or ports system.
- Nice-to-have experience includes monitoring, collecting, and analyzing diagnostics to improve resilience.
- Nice-to-have experience includes practical use of Git and issue tracking systems such as Jira.
- Nice-to-have familiarity with ops and CI/CD tooling, including Elastic Stack, Graphite, Grafana, Stats D, Sensu, Jenkins, or Git Hub Actions.
- Nice-to-have understanding of sysadmin responsibilities, including networking, filesystems, and environment management.
- Nice-to-have relevant qualifications such as a CS or CE degree, or RHCSA/RHCE certifications.
- Nice-to-have demonstrable open-source contributions.
Responsibilities
- We deploy ML solutions and integrate AI tooling within the VFX pipeline with minimal burden on artists and production.
- We design and build web front-end UIs such as dashboards, curation tools, job control, and review tools for ML and automation workflows.
- We collaborate with global stakeholders and architects to implement cost-effective data and MLOps pipelines and document methodologies.
- We build, package, and configure complex software systems across Linux.
- We improve efficiency, stability, and observability through profiling, metrics, and tracing.
- We validate work with methodical testing, including unit, integration, and end-to-end tests.
- We write clear technical documentation and workflow guides for artists and developers.
- We manage escalated troubleshooting and debugging for ML-driven tools and services.
- We work collaboratively under tight deadlines, mentor developers, assign tasks where appropriate, and report to the Head of ML Technology.
- We enforce coding standards through CI, including formatting, linting, typing, and test coverage gates.
- We require code reviews for all merges and maintain modular, testable designs with clear separation of concerns.
- We document APIs, version schemas, and maintain backward-compatible changes.
- We apply secure-by-default practices, including authentication and authorization, secrets management, performance budgets, and telemetry by design.
Technologies
- AI
- Architect
- Bash
- CI/CD
- Git
- Git Hub
- Grafana
- Graphite
- Support
- JIRA
- Jenkins
- Linux
- MLOps
- Python
- Web
- ESLint
- Fast API
- Flask
- Git Lab
- Graph QL
- HTTP
- Java Script
- Open API
- REST
- React
- Type Script
- Vue
- g RPC
More
We are DNEG, one of the worlds leading visual effects and animation companies creating award-winning feature film, television, and multiplatform content.
Our Brahma DNEG-Dedicated Unit sits within Brahma AI and works closely with DNEG to develop technology used directly in production.
We build tools, platforms, and workflows that support VFX and Feature Animation pipelines across our global studios, with a focus on artist-facing tools, large production pipelines, simulation and rendering workflows, and systems that run reliably across distributed teams.
We employ more than 9,000 people across worldwide offices and studios in North America, Europe, Asia, and Australia.
We are committed to an equitable, diverse, and inclusive workplace where everyone feels they matter and belong, and we welcome applications from all backgrounds.
- last updated 36 week of 2026
- #J-18808-Ljbffr
Senior ML Software Developer employer: DNEG
DNEG Animation is an exceptional employer, offering a vibrant and inclusive work culture that fosters creativity and collaboration among talented individuals in the animation industry. With a commitment to employee growth, DNEG provides opportunities to work on high-profile projects while embracing diversity and ensuring every voice is heard. Join us in London, where you can thrive in a dynamic environment dedicated to quality and innovation in animated storytelling.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Software Developer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at DNEG or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to DNEG.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like DNEG.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like DNEG that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior ML Software Developer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at DNEG.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at DNEG and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at DNEG
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If DNEG uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
