Principal Naval Architect (Swaffham)

ZipRecruiter
Swaffham
11 months ago
Applications closed

Related Jobs

View all jobs

Principal, AI Data Science

Principal Data Scientist

Principal Data Science & AI Consultant — Clinical Analytics

Principal Machine Learning Scientist - Applied Research (UK Remote)

Principal Data Scientist

Principal Data Science Consultant

Job Description

Job Title:Principal Naval Architect

Location:Barrow-in-Furness, Brough, Frimley, Weymouth, Filton, Portsmouth or Manchester. We offer a range of hybrid and flexible working arrangements – please speak to your recruiter about the options for this particular role.

Salary:£45,628 + depending on experience

What you’ll be doing:

  1. Designing the SSN AUKUS which is now the world’s most advanced Submarine
  2. Using your knowledge of hydrostatics, hydrodynamics, seamanship and outfit, infrastructure or whole boat design to support the largest shipbuilding programmes in the UK
  3. Supporting with sea trials, inclining experiments and other commissioning activities for multiple submarine classes
  4. Undertaking research and development activities to develop world leading capabilities
  5. Writing and presenting technical reports

Your skills and experiences:

Essential:

  1. Demonstrable experience as a Naval Architect
  2. Chartered Engineer or working towards Chartered status

Desirable:

  1. Degree in Naval Architecture
  2. Experience in ship design analysis and build support
  3. Advanced numeracy and analytical skills
  4. Previous experience working on defence projects

Benefits:

J-18808-Ljbffr

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.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.