Cloud ML DevRel Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Cloud ML DevRel Engineer in United Kingdom.

You will join a highly visible technical role at the intersection of machine learning engineering, cloud platforms, and developer education.
Your mission is to help ML practitioners accelerate training and inference workloads across modern cloud and hardware ecosystems.
You will act as a bridge between cutting-edge open-source AI tools and major infrastructure providers such as AWS, GCP, Azure, and Cloudflare.
The role combines hands-on engineering with storytelling, enabling developers to better use GPUs, accelerators, and scalable ML systems.
You will create high-impact content—blog posts, demos, talks, and webinars—while also engaging directly with strategic partners.
Operating with strong autonomy, you will influence adoption of ML cloud integrations and help shape the future of open AI infrastructure.

• Drive awareness and adoption of ML cloud integrations by producing high-quality technical content such as blog posts, tutorials, documentation, and code samples.
• Design and deliver demos, webinars, workshops, and conference talks to technical and business audiences across the AI ecosystem.
• Collaborate with strategic technology partners including Amazon Web Services, Google Cloud, Microsoft Azure, Cloudflare, NVIDIA, AMD, and others to highlight and improve ML performance on their platforms.
• Build and showcase practical ML applications using modern tooling, including the Hugging Face ecosystem and related open-source frameworks.
• Contribute to go-to-market initiatives by supporting partner enablement and driving developer engagement and feedback loops.

Requirements:

• 3+ years of experience in developer relations, developer advocacy, or similar roles focused on ML/AI tools or platforms.
• Strong hands-on ML or software engineering background, including deploying or training models in production environments.
• Experience working with at least one major cloud platform such as Amazon Web Services, Google Cloud, or Microsoft Azure.
• Proficiency in Python and familiarity with ML frameworks and tooling, including transformer-based architectures and inference systems.
• Experience working with GPUs or AI accelerators such as NVIDIA, AMD, Intel Gaudi, or TPU systems, with an understanding of optimization techniques for training and inference.
• Proven ability to create and deliver technical content to large developer audiences through writing, speaking, or live demonstrations.
• Active presence in the ML/AI community with published content and an engaged audience on platforms such as LinkedIn, X, GitHub, or YouTube.
• Strong communication skills with the ability to explain complex ML engineering concepts clearly and effectively in English.
• Nice to have: experience with containers and orchestration tools like Docker and Kubernetes, distributed frameworks like Ray or vLLM, and open-source contributions.

Benefits:

• Competitive salary package aligned with senior technical DevRel roles in the AI/ML space.
• Flexible working arrangements, including remote-friendly policies and adaptable working hours.
• Health, dental, vision coverage, and family-inclusive benefits depending on location.
• Equity participation, allowing employees to share in long-term company success.
• Budget for conferences, training, and continuous learning to support professional growth.
• Strong focus on open-source contribution and community engagement in the global AI ecosystem.
• Opportunity to work at the forefront of generative AI innovation with leading cloud and hardware partners.