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

Apply Now

Systems Engineering Manager

TN United Kingdom
8 months ago
Applications closed

Related Jobs

View all jobs

Data Engineering Manager London

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager...

Social network you want to login/join with:

Systems Engineering Manager, South Ayrshire CouncilClient:

Advanced Resource Managers

Location:

Prestwick

Job Category:

-

EU work permit required:

Yes

Job Reference:Job Views:

7

Posted:

03.03.2025

Expiry Date:

17.04.2025

Job Description:

Permanent role

Are you an experienced Engineering Manager with a background across the Systems lifecycle? Do you want to work with an industry-leading company? If your answers are yes, then this could be the role for you!

As the Systems Engineering Manager, you will be working alongside a market-leading Defence and Aerospace company that is constantly growing and developing. They are always looking to bring on new talents such as yourself and further develop your skills to enable you to grow within the company and industry!

What you will be involved in:

  1. Interface with customers, understanding their requirements, and keeping them involved during the product development
  2. Influence a community of engineers
  3. Manage a team along with stakeholders
  4. Work closely with engineering leads through the integration lifecycle
  5. Experience in an engineering integration environment
  6. Experience of Model Based Engineering approaches and the supporting methods and toolsets (Teamcenter PLM, DOORs, CAMEO, MATLAB, ANSYS)
  7. Experience of management responsibilities, managing teams, and senior stakeholders
  8. Proficient in the use of Microsoft Office Products (Word, Excel & PowerPoint)

If this all sounds like something you will be interested in, then simply apply and we can discuss the opportunity further!

#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.

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.