At a Glance
- Tasks: Lead AI-driven networking and infrastructure projects in a cutting-edge tech 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: Collaborative culture with opportunities for mentorship and career growth.
- Why this job: Influence the future of AI infrastructure on a global scale with elite engineering talent.
- Qualifications: 10+ years in senior engineering roles with expertise in AI, networking, and automation.
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 (M/F/D) employer: Morson Edge
Join a pioneering AI infrastructure organisation in Northwest England, where you will have the opportunity to shape the future of AI-enabled data centre ecosystems. With a collaborative work culture that fosters innovation and mentorship, you will work alongside elite engineering talent while enjoying a flexible hybrid working model and competitive executive compensation. This role not only offers significant influence at an executive level but also provides access to cutting-edge technologies and ample opportunities for professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer (M/F/D)
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, conferences, or webinars related to AI and networking. You never know who might be looking for someone just like you!
✨Show Off Your Skills
Create a portfolio showcasing your projects and achievements in machine learning and infrastructure. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Ace the Interview
Prepare for technical interviews by brushing up on your knowledge of AI-driven infrastructure and networking. Practice common interview questions and be ready to discuss your past experiences in detail.
✨Apply Through Us!
Don’t forget to check out our website for job openings! Applying directly through us can give you an edge, as we’re always on the lookout for top talent to join our team.
We think you need these skills to ace Senior Machine Learning Engineer (M/F/D)
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 unique skills 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 passionate about AI and networking, and how your background makes you the perfect fit for this role. We love seeing genuine enthusiasm, so let your personality come through!
Showcase Your Technical Expertise:In your application, be sure to highlight your technical skills, especially in AI/ML and networking. Mention specific projects or achievements that demonstrate your expertise. We’re looking for someone who can lead architectural decisions, so don’t hold back on your accomplishments!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Morson Edge
✨Know Your Stuff
Make sure you brush up on your knowledge of AI, networking, and infrastructure. Be ready to discuss specific technologies like Mist AI and how you've applied AI/ML in previous roles. This is a senior position, so demonstrating your expertise is crucial.
✨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 show you're a natural leader.
✨Understand the Company’s Vision
Research the organisation's goals and their approach to AI-enabled data centre ecosystems. Be ready to discuss how your vision aligns with theirs and how you can contribute to shaping their AI infrastructure strategy at a global scale.
✨Prepare for Technical Challenges
Expect to face technical questions that test your problem-solving skills. Practice articulating your thought process when tackling complex issues related to enterprise networking and AI-driven infrastructure. This will demonstrate your ability to think critically under pressure.
