At a Glance
- Tasks: Help ML practitioners accelerate workloads and create impactful content for developers.
- Company: Join a leading tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work, health coverage, and professional development budget.
- Other info: Engage with a vibrant community and contribute to exciting open-source projects.
- Why this job: Shape the future of open AI infrastructure while working with top cloud providers.
- Qualifications: 3+ years in developer relations with strong ML and cloud platform experience.
The predicted salary is between 60000 - 80000 £ per year.
This position is for a Cloud ML DevRel Engineer in the 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.
Accountabilities:
- 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.
Cloud ML DevRel Engineer employer: Jobgether
Join a forward-thinking company that champions innovation and collaboration in the AI/ML space. As a Cloud ML DevRel Engineer, you'll enjoy a flexible work environment that prioritises your professional growth through continuous learning opportunities and community engagement. With competitive benefits and the chance to work alongside industry leaders, this role offers a unique platform to influence the future of open AI infrastructure while making a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud ML DevRel Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Jobgether or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Jobgether.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Jobgether.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Jobgether that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Cloud ML DevRel Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Jobgether.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Jobgether and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Jobgether
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Jobgether uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
