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BRAHMA

Machine Learning Engineer

Posted 2 months ago
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Machine Learning Engineer

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
  • 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
  • Mentor junior engineers
  • Deliver high-quality ML pipelines in production environments

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Must Haves

  • Proven track record of deploying ML systems in production
  • 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

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Nice to Have

  • Prior experience in generative AI for video, audio, or multimodal content
  • Experience with performance optimization 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 solution-driven
  • Embrace challenges
  • Adaptable
  • Calm under pressure
  • Strong communication skills
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Skills

Machine Learning
Deep Learning
PyTorch
TensorFlow
Python
Generative AI
Diffusion Models
Transformer Models
AWS
GCP
CI/CD
Scalable Infrastructure
Video Synthesis
Audio Synthesis
ML Pipelines
Mentoring

Location

United Kingdom

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