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

Apply Now

Weights Engineer

Bristol
8 months ago
Applications closed

Related Jobs

View all jobs

MLOps Engineer (ML, Speech, NLP & Multimodal Expertise)

Machine Learning Engineer / Data Scientist – LLM Agents

MLOps Engineer (ML, Speech, NLP & Multimodal Expertise) | London

Machine Learning Engineer

MLOps Engineer (ML, Speech, NLP & Multimodal Expertise) | Manchester

MLOps Engineer

Weights Engineer

Location: Bristol - Minimum 1 day per week on site

Salary: £46,000 - £52,000

Industry: Defence, Marine Engineering, Naval Architecture

The Weight Engineering Team are a multi-disciplinary Team of Engineers and Data Scientists who estimate, collate and present mass properties data for a number of multi billion pound maritime programmes.

The Weight Engineering team are a specialist team who play a critical role in the whole boat design and assuring whole boat safety.

What the role of the Weights Engineer entails:

Some of the main duties of the Weights Engineer will include:

Collate mass property data for equipment and systems to deliver weight and centroid control on multi billion pound maritime programmes
Support the Mass Properties Lead to aggregate weight and centroid reports and present the status to the Chief Naval Architect
Collaborate with system design engineers to accurate estimate mass, centroid and design maturity of multiple mechanical and electronic systems
Maintain a comprehensive database of parts mass properties
Provide input to and lead weight saving strategies and maintain the list of weight risk and opportunities for each discipline area
Interrogate CAD models to determine estimates for mass properties with associated uncertainties
Utilise statistical analysis to provide a whole boat picture of weight risk and opportunity to senior leaders, stakeholders and our customersWhat experience you need to be the successful Weights Engineer:

Essential

Qualified in STEM subject or extensive experience
Ability to work independently and as part of a team
IT literate in Microsoft packages, experienced knowledge in Excel
Ability to understand and interpret engineering dataDesirable

Experience working with large, Electrical or Mechanical systems
Data analysis experience including interpretation, visualisation, manipulation and presentation
Experience of using CAD packages and programmes
CEng/IEng status or a clear pathway to achieving professional recognitionBenefits: Overtime, Private Healthcare,14% pension, 25 days holiday, free shares and more!

This really is a fantastic opportunity for a Weights Engineer to progress their career. If you are interested please apply as soon as possible as this position will be filled quickly so don't miss out!

Services advertised by Gold Group are those of an Agency and/or an Employment Business.
We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website

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

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.

Jobs

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.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 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.