Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Machine Learning Engineer (Brahma)

DNEG
City of London
2 days ago
Create job alert

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.


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!


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer (Knowledge Graph expert) - Selby Jennings

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.