Machine Learning Engineer

Job not on LinkedIn

🕒 May 5

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Brahma

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

₿ Crypto

💳 Fintech

🔌 API

💰 $4.2M Seed Round - Brahma on 2022-02

Crypto • Fintech • API

Brahma is a developer-focused orchestration layer that connects onchain financial logic to offchain payment and settlement systems. It enables programmable capital flows across blockchains, strategies, and traditional payment rails, providing smart accounts, automated agents, and programmable card issuance so apps can turn onchain positions into real-world spending. Brahma abstracts infrastructure and settlement for developers, letting them build onchain or hybrid apps without running backend ops.

📋 Description

• Join our team and help build state-of-the-art generative systems for video and audio synthesis, performance transfer, and visual translation. • Shape core infrastructure and set best practices. • Communicate with stakeholders and mentor junior engineers. • Deliver high-quality ML pipelines in production environments.

🎯 Requirements

• 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. • Prior experience in generative AI for video, audio, or multimodal content (Nice to Have). • Experience with performance optimisation for ML models and pipelines (Nice to Have). • Background in computer graphics, real-time rendering, or VFX pipelines (Nice to Have). • Open-source contributions or published research in machine learning (Nice to Have). • Entrepreneurial mindset or experience working with startups or fast-paced teams (Nice to Have).