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- Tasks: Join us to develop next-gen voice synthesis models and build deep learning systems.
- Company: BRAHMA AI, a leader in media-tech innovation.
- Benefits: Competitive pay, great benefits, and opportunities for career growth.
- Why this job: Work with cutting-edge AI tech and make a real impact in the media industry.
- Qualifications: 5+ years in software engineering and machine learning, with strong Python skills.
- Other info: Collaborate with world-class teams and embrace challenges in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
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.
Required Skills & Qualifications
- 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.
Good 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.
Why Join Us?
- Be part of a global media-tech leader shaping the future of content operations.
- Work on cutting-edge cloud and AI technologies in a high-impact role.
- Collaborate with world-class teams across engineering, media, and AI.
- Competitive compensation, benefits, and career advancement opportunities.
About BRAHMA AI
BRAHMA AI is the next generation of enterprise media technology formed through the integration of Prime Focus Technologies and Metaphysic. By combining CLEAR, CLEAR AI, Atman, and Vaani into one ecosystem, BRAHMA AI enables enterprises to manage, create, and distribute content with intelligence, security, and efficiency. Proven, scalable, and enterprise-tested, BRAHMA AI is helping global organisations accelerate growth, efficiency, and creative impact in the AI-powered era.
Senior MachineLearning Engineer II in London employer: BRAHMA
Contact Detail:
BRAHMA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior MachineLearning Engineer II in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to generative AI or deep learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML scenarios and be ready to discuss your past experiences in deploying models and working cross-functionally.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior MachineLearning Engineer II in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with deep learning frameworks like PyTorch or TensorFlow, and any relevant projects you've worked on in generative AI.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for the Senior Machine Learning Engineer role. Share specific examples of your past work, especially in deploying ML systems and mentoring junior engineers.
Showcase Your Projects: If you have any open-source contributions or published research, make sure to include them! This is a great way to demonstrate your expertise and passion for machine learning and generative AI.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with StudySmarter!
How to prepare for a job interview at BRAHMA
✨Know Your Tech Inside Out
Make sure you’re well-versed in the deep learning frameworks mentioned in the job description, like PyTorch or TensorFlow. Brush up on your knowledge of training diffusion and transformer models, as well as generative systems for audio and video synthesis. Being able to discuss your hands-on experience with these technologies will show that you’re a strong fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in deploying ML systems in production. Think about how you optimised performance for ML models and pipelines. Sharing concrete examples will demonstrate your engineering mindset and ability to tackle complex problems, which is crucial for this position.
✨Highlight Your Collaborative Spirit
Since the role involves working cross-functionally, be ready to talk about your experiences collaborating with research, product, and creative teams. Share examples of how you’ve communicated effectively with stakeholders and mentored junior engineers. This will illustrate your ability to thrive in a team-oriented environment.
✨Stay Calm and Adaptable
Interviews can be nerve-wracking, especially for senior roles. Practice staying calm under pressure by simulating interview scenarios with a friend or mentor. Be prepared to adapt your answers based on the flow of the conversation, showing that you can think on your feet and embrace challenges.
