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1,159

Film jobs in United Kingdom

Senior Machine Learning Engineer (Brahma)

DNEG

City Of London
On-site
GBP 70,000 - 90,000
29 days ago
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Mechanical Technician - AIT

Expleo

Stevenage
On-site
GBP 35,000 - 45,000
29 days ago

Property Marketing Assistant - North London , Islington

Round Pegs Recruitment

City Of London
On-site
GBP 32,000 - 35,000
29 days ago

Electrician

Pinewood Group Limited

Ipswich
On-site
GBP 30,000 - 40,000
29 days ago

Employee Relations & Learning and Development

LUSH

Poole
On-site
GBP 34,000 - 42,000
29 days ago
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CT/MRI Radiographer | Wirral University Teaching Hospital NHS Foundation Trust

Wirral University Teaching Hospitals NHS Foundation Trust

Bebington
On-site
GBP 30,000 - 40,000
29 days ago

Education Funding Team Leader

West Northamptonshire Council

Northampton
On-site
GBP 40,000 - 55,000
29 days ago

Packaging Technologist

Reed Specialist Recruitment Ltd.

Coventry
On-site
GBP 28,000 - 35,000
29 days ago
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Senior Business Analyst & Developer

REGENT'S UNIVERSITY LONDON

City Of London
Hybrid
GBP 53,000 - 68,000
29 days ago

Social Media Manager

Your Skin Doctors

City Of London
On-site
GBP 60,000 - 80,000
29 days ago

Talent Partnerships Manager (FTC)

Formula E

City Of London
On-site
GBP 50,000 - 70,000
30+ days ago

General Imaging Practice Development Radiographer

Lewisham and Greenwich NHS Trust

City Of London
On-site
GBP 40,000 - 55,000
30+ days ago

SENIOR LITIGATION ASSOCIATE – TOP-TIER MEDIA & ENTERTAINMENT FIRM

Ardent

City Of London
On-site
GBP 75,000 - 100,000
30+ days ago

Hourly Paid Lecturer - Games Lecturer - Leamington Spa

ICMP

Royal Leamington Spa
On-site
GBP 60,000 - 80,000
30+ days ago

Senior VFX Producer - Advertising

UNAVAILABLE

City Of London
On-site
GBP 60,000 - 80,000
30+ days ago

Senior Copywriter

OLIVER Agency

City Of London
On-site
GBP 40,000 - 60,000
30+ days ago

Service Technician – Agricultural Machinery (Ireland & UK) - €40,000 + Overtime + 10% Increase [...]

Agricultural Recruitment Specialists Ltd

Bristol
Hybrid
GBP 36,000
30+ days ago

Senior Software Engineer (C++)

Dalet S.A.

City Of London
On-site
GBP 50,000 - 75,000
30+ days ago

Creative Director - Architectural Visualisation

The Boundary

City Of London
On-site
GBP 60,000 - 90,000
30+ days ago

Corporate Communications Content Specialist

CDW

City Of London
On-site
GBP 35,000 - 50,000
30+ days ago

Cinema Team Member

The Light

Banbury
On-site
GBP 20,000 - 24,000
30+ days ago

Trainee AI Video Editor

Tvf Media - Digital

City Of London
Hybrid
GBP 25,000 - 30,000
30+ days ago

Global Film Marketing Leader

SEARCHLIGHT

City Of London
On-site
GBP 70,000 - 90,000
30+ days ago

Account Executive – Account Manager

air-recruitment

City Of London
Hybrid
GBP 30,000 - 40,000
30+ days ago

SFX Technician

J&T Recruitment

City Of London
On-site
GBP 30,000 - 32,000
30+ days ago

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Senior Machine Learning Engineer (Brahma)
DNEG
City Of London
On-site
GBP 70,000 - 90,000
Full time
29 days ago

Job summary

A leading visual effects company in London is seeking a Senior Machine Learning Engineer to develop generative systems for audio and video synthesis. The ideal candidate has over 5 years of experience in machine learning, strong skills in Python, and familiarity with deep learning frameworks. This role involves mentoring junior engineers and collaborating with cross-functional teams to deliver high-quality ML models in production environments. Join a diverse and inclusive team at DNEG to innovate in AI and content creation.

Qualifications

  • 5+ years of experience in software engineering and machine learning.
  • Proven track record of deploying ML systems in production.
  • Strong experience with deep learning frameworks such as PyTorch or TensorFlow.

Responsibilities

  • Research and build deep learning systems for voice synthesis.
  • Collaborate with cross-functional teams for production integration.
  • Mentor junior engineers and shape core infrastructure.

Skills

Experience in software engineering
Machine learning fundamentals
Deep learning frameworks (PyTorch, TensorFlow)
Proficiency in Python
CI/CD workflows familiarity
Mentoring junior engineers

Tools

AWS
GCP
Job description

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!

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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