Senior Optical Systems and Networks Architect

Bunhill
10 months ago
Applications closed

Related Jobs

View all jobs

Business Intelligence Data Engineer

Business Intelligence Data Engineer

BI Data Engineer

Senior Data Engineer

Machine Learning Engineer

Senior Data Engineer - Darwin

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.