National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Head of Machine Learning

DNEG
York
1 week ago
Create job alert

Description

Position at DNEG At Brahma, we are building the future of AI-powered creative experiences. Our team of engineers, researchers and creative technologists is building the operating system for the future of ethical digital storytelling. We combine award-winning visual effects expertise with cutting-edge generative AI to create tools that empower enterprises and creators to produce high-quality content at scale.Job Description / Key Purpose of the Job:
The Head of Machine Learning will lead our research and development efforts in generative models with a main focus on multimodal generation, with main focus on video generation but also audio, and language-based models.This strategic leadership position sits at the intersection of technical expertise and organizational vision, requiring both hands-on experience with generative models and the ability to guide teams toward breakthrough results. You will be responsible for designing ML architectures and training pipelines, building and managing a skilled technical team, and ensuring research innovations can be successfully implemented in production environments, audio integration, and language model applications. This includes building systems that coordinate multimodal
inputs—visual, auditory, and textual—to enable rich, realistic, and controllable outputs for creative and production workflows.
Key Responsibilities / Job Duties
Research & Development Leadership
● Define and execute the strategic roadmap for generative ML research aligned with company
objectives
● Lead research initiatives in multimodal generative models (video, audio, language), temporal
consistency techniques, and multimodal generation with main focus on video generation
● Design and optimize large-scale training and fine-tuning pipelines for generative models
● Drive innovation in ML architecture, evaluation methodologies, and performance optimization
● Balance scientific experimentation with practical business outcomes.Team Building & Development
● Build, lead, and mentor a diverse, high-performing ML team● Establish clear performance metrics, career development paths, and growth opportunities for team
members● Foster a collaborative culture that encourages knowledge sharing, creative problem-solving, and
continuous learning● Recruit and retain top ML talent through effective leadership and compelling technical challenges
Cross-Functional Collaboration
● Partner with product, engineering, and creative teams to integrate ML innovations into production
systems● Translate complex ML concepts into accessible terms for non-technical stakeholders● Balance research ambitions with practical business needs and timeline constraints
Technical Strategy & Vision
● Contribute to the company's overall technical and product strategy
● Evaluate emerging technologies and methodologies for potential adoption
● Establish technical standards and best practices for ML development
● Engage with the external research community through publications, conferences, and collaborationJob Requirements / Must Haves
● Exceptional leadership, mentorship, and communication skills.
● Proven track record in leading machine learning R&D teams or projects.
● Advanced degree in Computer Science, Machine Learning, AI, or a related field.
● Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and programming
languages (e.g., Python).
● Deep understanding of AI ethics, fairness, and interpretability.
● Strategic thinking with the ability to define and communicate a compelling vision
Additional Skills / Nice to Have
● PhD and/or strong portfolio of published research and patents in top AI conferences and journals.
● Experience deploying large-scale machine learning models in production.
● Familiarity with cloud platforms and MLOps best practices.
● Proficiency in languages beyond Python, such as C++.
● Able to knit together a high performing distributed team and communicate a consistent vision.
About You
● Visionary thinker with a passion for advancing the state-of-the-art in AI.
● Collaborative and team-oriented.
● Resilient and adaptable in a fast-paced environment.
● High level of curiosity and commitment to continuous learning.


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!

Related Jobs

View all jobs

Head of Machine Learning

Head of Data Science (Basé à London)

Staff Data Scientist

Data Scientist - Swindon

Senior Data Engineer - DV Cleared

Head of Product (advanced analytics & machine learning)

National AI Awards 2025

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 Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.