At a Glance
- Tasks: Build and evolve cloud infrastructure for exciting AI and computational biology projects.
- Company: Major global organisation investing heavily in AI with a new AI Accelerator in London.
- Benefits: Competitive salary, flexible working, and opportunities to work on groundbreaking technology.
- Other info: Collaborative environment with a focus on innovation and career growth.
- Why this job: Make a real impact by supporting teams tackling complex biomedical and scientific challenges.
- Qualifications: Experience in AWS, ML platforms, and a passion for solving infrastructure problems.
The predicted salary is between 63000 - 77000 £ per year.
We are working with a major global organisation that is making a significant investment in AI and has established a new AI Accelerator in London.
They’re now looking for a Senior Cloud Engineer – ML Platforms to help build and evolve the infrastructure that sits underneath some genuinely exciting AI and computational biology work. This isn’t a traditional cloud infrastructure role. You’ll be working closely with researchers, ML engineers and platform teams, helping them move from experimentation and model training through to scalable, reliable production environments. A lot of the challenge is around creating an environment that makes life easier for scientists and engineers — secure, scalable, automated and straightforward to use.
Technically, you’ll be working across areas including:
- AWS and SageMaker
- Cloud networking, IAM, storage and compute
- Infrastructure as Code
- CI/CD and automation
- Databricks and MLflow
- Jenkins / Bitbucket
- OpenShift and containerised environments
- ML and MLOps infrastructure
They need someone who enjoys solving difficult infrastructure problems, but who can also sit down with a researcher or ML engineer, understand what they are trying to achieve and translate that into a sensible technical solution. Someone pragmatic. Someone collaborative. Someone who wants to improve things rather than simply maintain them. And ideally someone who is genuinely interested in what happens when cloud engineering meets AI and scientific research.
The wider mission is particularly compelling. The infrastructure you build will support teams using AI and computational approaches to tackle complex biomedical and scientific problems. The position is based in London, with approximately three days per week in the office.
If you’re an experienced AWS / Cloud Engineer already working around ML platforms, MLOps, data science or AI infrastructure, I’d be very interested in having a confidential conversation. Equally, if somebody in your network immediately comes to mind, I’d really appreciate an introduction. Please message me directly or apply for more information.
Senior Cloud Engineer 36614 employer: KEMIO Consulting
KEMIO Consulting is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee growth, we provide ample opportunities for professional development and leadership training, ensuring that our team members thrive in their careers. Our inclusive culture fosters creativity and teamwork, making KEMIO a rewarding place to contribute to groundbreaking advancements in biomedical AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Cloud Engineer 36614
✨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 KEMIO Consulting 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 KEMIO Consulting.
✨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 KEMIO Consulting.
✨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 KEMIO Consulting 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 Senior Cloud Engineer 36614
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 KEMIO Consulting.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at KEMIO Consulting 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 KEMIO Consulting
✨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 KEMIO Consulting 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.
