At a Glance
- Tasks: Lead AI-driven networking and infrastructure strategy in a cutting-edge tech environment.
- Company: Next-gen AI infrastructure organisation shaping Europe's data centre ecosystem.
- Benefits: Competitive salary, flexible hybrid work, and access to advanced technologies.
- Other info: Collaborative culture with opportunities for mentorship and career growth.
- Why this job: Make a global impact by shaping the future of AI infrastructure.
- Qualifications: 10+ years in enterprise networking and AI, with strong leadership skills.
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. This role combines deep technical expertise, strategic influence, and industry thought leadership within one of the most demanding and innovative infrastructure environments in the market.
Key Responsibilities- Technical Leadership & Architecture
- Act as the final technical authority on enterprise networking and AI-driven infrastructure architecture.
- Own and govern global networking architecture spanning: LAN/WAN, Datacenter fabrics, Cloud connectivity, Wireless networking, Edge and access networking, Firewalls and secure remote access, Carrier interconnects and managed connectivity.
- 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: AIOps, Predictive analytics, Autonomous remediation, AI-driven anomaly detection, Threat intelligence, Capacity forecasting, 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.
- Strategic Innovation
- Develop and maintain 3–5 year networking and AI infrastructure roadmaps.
- Evaluate emerging technologies and provide executive-ready recommendations.
- Influence vendor roadmaps and contribute to next-generation infrastructure strategy.
- Partner closely with cloud, security, application, and edge architecture teams to accelerate enterprise-wide modernisation.
- Engineering Excellence & Industry Leadership
- Mentor senior and principal engineers across networking, automation, and AI disciplines.
- Lead architecture review boards and technical communities.
- Represent the organisation externally through: Industry conferences, Technical publications, Standards participation, Patents and thought leadership.
We are looking for an exceptional engineering leader with a proven track record operating at hyperscale.
Essential Qualifications- 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.
- Experience managing global multi-site environments supporting: 10,000+ endpoints, Petabit-scale fabrics, Mission-critical infrastructure.
- Prior experience within a Fortune 50, hyperscale cloud, AI, or advanced technology organisation.
- Datacenter and enterprise networking: BGP / EVPN, VXLAN, Leaf-spine architectures, SD-WAN, 400G+ fabrics.
- Security architectures: Zero Trust, SASE / SSE, Microsegmentation, Next-generation firewalls.
- Wireless networking platforms: Mist AI, Meraki.
- Carrier and managed connectivity: MPLS, VPLS, Metro Ethernet, P2P, SD-WAN.
- Hybrid and multi-cloud infrastructure integration.
- Infrastructure automation and performance optimisation.
- Strong experience applying AI/ML to networking operations and infrastructure intelligence.
- Understanding of AI infrastructure requirements including edge inference and high-performance compute networking.
- Hands-on experience with automation and Infrastructure as Code: Python, Ansible, Terraform, GitOps workflows.
- MSc or PhD in Computer Science, Electrical Engineering, AI, or related discipline.
- Active involvement in technical communities or standards bodies: IETF, ONUG, CNCF Networking SIGs.
- Experience operating within regulated or mission-critical sectors such as: Finance, Healthcare, Critical infrastructure, Defence.
- 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 in Manchester 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. We pride ourselves on fostering a collaborative work culture that encourages innovation and professional growth, offering competitive compensation and access to cutting-edge technologies. As a Senior Principal ML Engineer, you will not only lead technical initiatives but also influence strategic decisions at the executive level, making this an exceptional place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer in Manchester
✨Tip Number 1
Network like a pro! Attend industry conferences and meetups to connect with other professionals in AI and networking. You never know who might be looking for someone with your skills, so get out there and make those connections!
✨Tip Number 2
Show off your expertise! Create a portfolio or blog showcasing your projects and insights in AI and infrastructure. This not only demonstrates your knowledge but also helps you stand out from the crowd when applying for roles.
✨Tip Number 3
Leverage LinkedIn to its fullest! Update your profile to reflect your latest achievements and connect with recruiters in the AI and networking space. Engaging with relevant content can also help you get noticed by potential employers.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for top talent like you. Make sure to keep an eye on our job listings and submit your application directly for the best chance at landing that dream role.
We think you need these skills to ace Senior Machine Learning Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Principal ML Engineer. Highlight your experience in 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 team!
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. Share specific examples of your past achievements in AI and networking that align with our mission at StudySmarter. Let us know what excites you about this opportunity!
Showcase Your Technical Expertise:In your application, be sure to highlight your deep technical expertise in areas like datacentre networking and AI-driven infrastructure. We’re looking for someone who can lead and innovate, so don’t hold back on sharing your knowledge and experience!
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 what we do at StudySmarter!
How to prepare for a job interview at Morson Edge
✨Know Your Tech Inside Out
As a Senior Principal ML Engineer, you’ll need to demonstrate deep technical expertise. Brush up on your knowledge of enterprise-scale networking, AI-driven infrastructure, and security architectures. Be ready to discuss specific technologies like BGP, EVPN, and SD-WAN, and how they apply to the role.
✨Showcase Your Leadership Skills
This role requires strong leadership and strategic influence. Prepare examples of how you've led cross-domain architectural decisions or mentored other engineers. Highlight your experience in managing global multi-site environments and how you’ve driven innovation in previous roles.
✨Understand the Business Impact
It’s crucial to connect your technical skills with business outcomes. Be prepared to discuss how your work has contributed to operational efficiency, cost savings, or enhanced security in past projects. This will show that you understand the bigger picture and can align technical strategies with business goals.
✨Engage with Emerging Technologies
Stay updated on the latest trends in AI and networking. Be ready to discuss emerging technologies and how they could impact the organisation's infrastructure strategy. Showing that you’re proactive about industry developments will demonstrate your commitment to continuous learning and innovation.
