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- Tasks: Join us to build cutting-edge generative systems for video and audio synthesis.
- Company: BRAHMA AI, a leader in enterprise media technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with mentorship opportunities and career advancement.
- Why this job: Make an impact in the AI-powered era with innovative projects.
- Qualifications: Experience in ML systems, deep learning frameworks, and Python proficiency.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a 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
- Proven track record of deploying ML systems in production.
- A strong understanding of Machine Learning fundamentals.
- 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 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 organizations accelerate growth, efficiency, and creative impact in the AI-powered era.
Machine Learning Engineer employer: BRAHMA
Contact Detail:
BRAHMA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other Machine Learning Engineers. 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 involving deep learning frameworks like PyTorch or TensorFlow. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML fundamentals and coding skills. Practice common algorithms and data structures, and be ready to discuss your past experiences deploying ML systems in production.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with deep learning frameworks like PyTorch or TensorFlow. We want to see your proven track record of deploying ML systems in production, so don’t hold back on showcasing your best projects!
Tailor Your Application: Take a moment to customise your application for the Machine Learning Engineer role. Mention specific experiences that align with our needs, like working with generative models or scalable infrastructure. It shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that communicate your qualifications without unnecessary fluff. Remember, clarity is key!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at BRAHMA
✨Know Your ML Fundamentals
Make sure you brush up on your machine learning fundamentals before the interview. Be ready to discuss concepts like model training, evaluation metrics, and the differences between various algorithms. This will show that you have a solid foundation and can engage in technical discussions.
✨Showcase Your Hands-On Experience
Prepare to talk about your previous projects where you've deployed ML systems in production. Highlight specific frameworks you've used, like PyTorch or TensorFlow, and any challenges you faced during deployment. Real-world examples will demonstrate your practical skills and problem-solving abilities.
✨Familiarise Yourself with Their Tech Stack
Research BRAHMA AI's technology stack and be ready to discuss how your experience aligns with their needs. If they use AWS or GCP, for instance, mention your familiarity with these platforms and any relevant projects. This shows that you're proactive and genuinely interested in the role.
✨Prepare to Discuss Mentorship
Since this role involves mentoring junior engineers, think about your past experiences in guiding others. Be prepared to share examples of how you've supported team members in their growth and development. This will highlight your leadership skills and ability to work cross-functionally.