Senior Optical Systems and Networks Architect

Bunhill
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Graduate Machine Learning Engineer

Graduate Machine Learning Engineer

Graduate Machine Learning Engineer

Sr Data Engineer

Senior Data Engineer

Senior Optical Systems and Networks Architect | London | Hybrid | £80k-£120K | Lucrative Stock Options

Are you an experienced Optical Systems Engineer with high-speed computer networking architecture experience? Are you looking to work on cutting edge products in AI and Machine Learning?

Then this might just be the role for you!

We are working with a disruptive London based Computer Networking company who are working on the cutting edge of AI and Machine learning technology with applications for increased productivity in Data Centre’s and HPCs.

They are looking for a Senior Optical Systems and Networks Architect to join them in their mission to revolutionise AI systems whilst reducing energy consumption and stiving for a sustainable future.

You will be responsible for the driving of optical network testbeds, modelling and characterising systems using automated measurements, and interfacing with other teams towards product development. You will be expected to work on and develop a series of prototypes to deliver a production-grade solution.

Key responsibilities:

Technical lead on optical network system implementation, testing and integration.
Build optical testbeds and implement automated measurement methodologies to identify system performance limits.
Model and characterise electrical and optical components as well as end-to-end systems for performance evaluations.
Assess optical transmission and network performance for short-reach AI Networked Systems.
Manage lab facilities and liaise with external HW suppliers.
Interface with other internal teams, PIC design, Integration, Systems and Networks and PLM.Required experience:

Extensive hands-on industry experience in optical communication systems development and testing from early prototypes to trials and product development.
Experience with high-baud-rate direct detect optical communication systems.
Experience with DSP and end-to-end optimisation methods.
Modelling of end-to-end systems, including RF and optical channels.
Test automation and scripting using Python.
PhD degree in optical communications, physics, or other relevant fields or experience within the industry.What’s in it for you?

Up to £120k DOE
Lucrative stock options.
25 days holiday + bank holidays.
Hybrid working.
Relocation assistance.
Visa sponsorship provided

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.