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 day 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 - 3D Graphics

Head of Machine Learning

Senior Data Scientist

Staff Data Scientist

Senior Data Engineer - DV Cleared

Senior Data Engineer - DV Cleared

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 Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.