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

Apply Now

Acoustic Data Analsyst/Scientist

Weymouth
8 months ago
Applications closed

Acoustic Data Analsyst/Scientist

Overview

Join a team driving innovation in underwater technologies. As an Acoustic Data Analyst, you will specialise in analysing, modelling, and optimising acoustic data for sonar systems, while supporting trials and performance evaluations. Flexible working arrangements, including hybrid options and compressed hours, are available.

About the Role

A short paragraph summarising the key role responsibilities.

Responsibilities

  • Data Analysis & Modelling: Analyse sonar system data, develop performance models, and evaluate system capabilities under various underwater conditions. Collaborate with design teams to meet customer requirements.

  • Trial Support: Participate in sea trials, analyse acoustic data, and produce comprehensive reports to assess system performance.

  • Collaboration & Reporting: Provide regular updates on project progress, contribute to design reviews, and deliver technical insights during customer presentations.

    Qualifications

    A degree in Physics, Mathematics, Engineering, or a related STEM field (advanced qualifications are desirable).

    Required Skills

  • Proficiency in tools such as Python or MATLAB.

  • Strong communication skills, with the ability to convey complex information to technical and non-technical audiences.

  • Experience in one or more of the following areas:

  • Acoustic Data Analysis

  • Operational Analysis

  • Performance Modelling

  • Signal Processing or Algorithm Development

  • Fluid Dynamics or Finite Element Analysis

  • Machine Learning/AI Applications

    Pay range and compensation package

    Flexible working options, including hybrid arrangements and a 9-day fortnight. Early Friday finishes and time-off-in-lieu opportunities. Competitive bonuses and benefits, including private healthcare and pension contributions. Support for professional development and relocation assistance

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

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.

Jobs

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.

Jobs

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.

🍪 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.