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

Apply Now

Device Simulation and Design Engineer

Ipswich
7 months ago
Applications closed

Related Jobs

View all jobs

Computer Vision Physicist / Engineer

Deep Learning Engineer - Manipulation

Lead Machine Learning Engineer

Data Engineer – 12 Month Fixed-Term Contract

Senior Data Analyst – Critical Third Parties

Machine Learning Engineer

Device Simulation and Design Engineer
Ipswich
£70,000 per annum

A global technology leader is expanding their R&D capability and seeking a Device Simulation and Design Engineer to join their team in Ipswich. This is a brand-new opportunity to shape and develop next-generation III-V photonic devices through cutting-edge simulation, design, and automation techniques.

As part of a world-class team of engineers, you'll develop and refine optical simulation tools, create scalable and automated design flows, and use your deep understanding of optoelectronic device physics to deliver high-performance components ready for fabrication and experimental testing.

Key Responsibilities

Develop advanced simulation tools for III-V photonic devices using techniques including FDTD, FEM, machine learning, and inverse design.
Contribute to the design and development of both active and passive components.
Automate simulation workflows and data analysis to optimise design iterations.
Benchmark, document, and deliver tools for internal use across design teams.
Collaborate with fabrication and test teams to ensure seamless end-to-end development.
Analyse experimental test results to calibrate and improve model accuracy.
Produce technical reports and present findings to stakeholders. About You

You'll bring a proven background in optoelectronic design, a passion for innovation, and a collaborative mindset.

Essential:

PhD in Physics, Electronic Engineering, or a related field.
Minimum 5 years' experience in photonics, with strong III-V device simulation expertise.
Hands-on knowledge of tools such as COMSOL, VPI, FDTD, FEM, and multiphysics simulation environments.
Proficient in Python or similar for automation, modelling and analysis.
Experience with machine learning or inverse design methods.
Strong data analysis and communication skills, including technical reporting.Desirable:

Familiarity with characterisation and test of photonic devices.
Experience in the design of lasers, modulators, waveguides and couplers.
A track record of publications or conference participation. Benefits

Up to 33 days annual leave including public holidays
Company pension scheme
Private medical insurance and healthcare support
Life assurance
Employee assistance programme
Cycle to work scheme
Professional development time and support
Regular company events and team activities

If you're ready to influence the future of optoelectronic design, please click "Apply Now

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.

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.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.