At a Glance
- Tasks: Lead AI and networking integration in a cutting-edge data centre environment.
- Company: Next-gen AI infrastructure organisation shaping Europe's data centre ecosystem.
- Benefits: Competitive executive compensation, flexible hybrid work, and access to advanced technologies.
- Other info: Mentorship opportunities and collaborative environment for career growth.
- Why this job: Influence global AI infrastructure strategy and work with elite engineering talent.
- Qualifications: 10+ years in senior engineering roles with strong AI/ML and networking experience.
The predicted salary is between 90000 - 120000 € per year.
Join a next-generation AI infrastructure organisation building one of the most advanced AI-enabled data centre ecosystems in Europe.
We are seeking a world-class Senior Principal ML Engineer to lead the convergence of AI, networking, automation, and hyperscale infrastructure across a globally connected enterprise environment.
As the Senior Principal ML Engineer, you will serve as the highest-level technical authority for AI-augmented networking and intelligent infrastructure strategy across enterprise, cloud, and data centre environments. You will work directly with executive leadership, infrastructure architects, security teams, and global engineering organisations to define the future-state architecture supporting AI workloads, edge inference, autonomous remediation, predictive operations, and next-generation connectivity platforms.
Act as the final technical authority on enterprise networking and AI-driven infrastructure architecture. Own and govern global networking architecture spanning:
- Datacenter fabrics
- Wireless networking
- Edge and access networking
- Firewalls and secure remote access
Lead cross-domain architectural decisions and executive-level technical escalations. Define enterprise-wide standards, reference architectures, and best practices across all regions and business units.
AI-Augmented Infrastructure & Operations
Lead the integration of AI and ML across networking and operational domains including:
- AI-driven anomaly detection
- Threat intelligence
- Configuration intelligence
Architect infrastructure capable of supporting large-scale AI training and inference workloads. Advance observability strategies using streaming telemetry, eBPF, intelligent monitoring, and automation-first operational models.
Develop and maintain 3–5 year networking and AI infrastructure roadmaps. Mentor senior and principal engineers across networking, automation, and AI disciplines. Lead architecture review boards and technical communities.
Extensive experience in enterprise-scale networking, infrastructure, and security architecture. ~10+ years operating in senior principal, distinguished engineer, fellow, or equivalent executive-level IC roles. Prior experience within a Fortune 50, hyperscale cloud, AI, or advanced technology organisation.
Datacenter and enterprise networking:
- Wireless networking platforms: Mist AI
- Hybrid and multi-cloud infrastructure integration
- Infrastructure automation and performance optimisation
AI & Automation Experience
Strong experience applying AI/ML to networking operations and infrastructure intelligence. Understanding of AI infrastructure requirements including edge inference and high-performance compute networking. Python. MSc or PhD in Computer Science, Electrical Engineering, AI, or related discipline.
Active involvement in technical communities or standards bodies: CNCF Networking SIGs.
Opportunity to shape next-generation AI infrastructure strategy at global scale. Executive-level influence and visibility. Access to cutting-edge AI, networking, and automation technologies. Collaborative environment with elite engineering talent. Competitive executive compensation package. Flexible hybrid working model in Northwest England.
(Senior) Machine Learning Engineer employer: Morson Edge
Join a pioneering AI infrastructure organisation that is at the forefront of building one of Europe's most advanced AI-enabled data centre ecosystems. As a Senior Principal ML Engineer, you will thrive in a collaborative environment with elite engineering talent, enjoying access to cutting-edge technologies and the opportunity to shape next-generation AI infrastructure strategy on a global scale. With a competitive executive compensation package and a flexible hybrid working model in Northwest England, this role offers not just a job, but a meaningful career path with ample opportunities for professional growth and influence.
StudySmarter Expert Advice🤫
We think this is how you could land (Senior) Machine Learning Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, conferences, or even online webinars. The more people you know, the better your chances of landing that dream role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving AI and ML. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on your knowledge of AI infrastructure and networking. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Us!
We’ve got some fantastic opportunities waiting for you on our website. Don’t hesitate to apply directly through us – it’s the best way to get noticed and land that senior principal ML engineer role!
We think you need these skills to ace (Senior) Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Principal ML Engineer role. Highlight your experience with AI, networking, and infrastructure, and don’t forget to showcase any leadership roles you've had. We want to see how you can bring your expertise to our next-gen AI infrastructure!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Talk about your passion for AI and how your background aligns with our mission at StudySmarter. Remember, we love seeing personality in applications!
Showcase Your Projects:If you've worked on relevant projects, make sure to include them! Whether it's AI-driven anomaly detection or infrastructure automation, we want to see what you've done. This is your opportunity to demonstrate your hands-on experience and technical prowess.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values!
How to prepare for a job interview at Morson Edge
✨Know Your AI and Networking Stuff
Make sure you brush up on the latest trends in AI and networking. Understand how they converge, especially in the context of data centre infrastructure. Be ready to discuss specific technologies like Mist AI and how you've applied AI/ML in your previous roles.
✨Showcase Your Leadership Skills
As a Senior Principal ML Engineer, you'll be expected to lead and mentor others. Prepare examples of how you've successfully led teams or projects in the past. Highlight your experience with architecture review boards and technical communities to demonstrate your influence in the field.
✨Prepare for Technical Deep Dives
Expect to dive deep into technical discussions during your interview. Be ready to explain your thought process behind architectural decisions and how you've tackled complex problems in enterprise-scale networking and security architecture.
✨Align with Their Vision
Research the company's goals and values, especially regarding AI-augmented infrastructure. Be prepared to discuss how your vision aligns with theirs and how you can contribute to shaping their next-generation AI infrastructure strategy.
