Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Optical Engineer

Bunhill
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Computer Vision Tech Lead

Computer Vision Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer - AI & GPU Performance

Senior Machine Learning Engineer - AI & GPU Performance

Senior Optical Engineer | London | Hybrid | £60k-£100K | Lucrative Stock Options

Are you an experienced Optical Engineer with experimental experience with Optical Systems? 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 Engineer to join them in their mission to revolutionise AI systems whilst reducing energy consumption and stiving for a sustainable future.

Key responsibilities:

Work within the optical network integration team with close collaboration with other teams.
Building optical testbeds and implement automated measurement methodologies for identification of System performance capabilities.
Modelling and characterisation of electrical and optical components and end-to-end systems.
Assessment of optical transmission and network performance for short-reach AI Networked Systems.Required experience:

Hands-on optical communication systems development and testing experience.
Experience with Optical Transmissions & Transceivers.
Experience with PAM4 & Passive Optical Networks.
High-baud-rate experience within optical communication systems.
Strong DSP and end-to-end optimisation experience.
End-to-end systems modelling experience, including RF and optical.
Strong Python skills for Test automation and scripting.
PhD degree in optical communications, physics, or other relevant fields or experience within the industry;What’s in it for you?

Up to £100k 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.

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

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.