Space Sector Roles

London
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - National Security (TIRE) based in Cheltenham/Hybrid

Senior Data Scientist

Senior Machine Learning Engineer

Senior Data Scientist

Consultant, Data Science and Business Analyst, AI & Data, Defence & Security

Machine Learning Engineer Space & Satellite

MERITUS is looking for individuals with experience in the Space Sector. Are you a highly skilled engineer, scientist, or software specialist looking to take your career to the next level in the space industry? Whether you're an experienced aerospace professional or a rising star in engineering, I can connect you with cutting-edge companies working on some of the most exciting space missions in the UK.

Who I'm Looking For

If you have skills in any of the following, I want to hear from you:

Guidance, Navigation & Control (GNC) Engineers
Flight Software & Embedded Systems Engineers
RF, Telecommunications & Satcom Engineers
Avionics, Power Systems & Electronics Engineers
Propulsion, Electronics, Structures & Thermal Engineers
Space Systems & Mission Operations Specialists
AI, Machine Learning & Autonomy Experts

Why Work with Me?

Access to Exclusive Roles - I partner with top Space, Defence, and Aerospace companies, including Airbus Defence and Space, MBDA, Northrop Grumman and many fast-growing space startups all around the UK.
Opportunities Across the Sector - From GNC and flight software to satellite operations, RF communications, and propulsion, I specialise in matching top talent with the right roles.
Confidential Career Support - Whether you're actively looking or just exploring your options, I provide tailored advice on salaries, career growth, and industry trends.
Permanent & Contract Roles Available - I recruit for senior specialists, engineers, and team leads across both long-term and high-value contract opportunities

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.

Careers

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.

Jobs

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.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

🍪 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.