Antenna Engineer

Bluestream People
Sheffield
1 year ago
Applications closed

About the Company- Join a leading space technology company with a growing presence in the UK. They work with top space industrial players, delivering capabilities in Space Operations, and Satellite Systems. Specializing in advanced space sensors and communication technology. As they develop their footprint in the UK, they are on the lookout for ambitious professionals to help drive innovation in the space industry and shape the future of exploration and communications.



About the Role- Key Responsibilities:



  • Develop and validate requirements for antenna/payload communications subsystems.
  • Perform trade studies, modelling, and simulations to predict system performance and optimize designs to meet requirements.
  • Support business development teams in customer engagements and solutions.
  • Define and conduct tests to validate antenna/RF designs against mission requirements.
  • Create test plans that identify resources, schedules, and cost estimates in line with standards and regulations.
  • Specify hardware, software, instruments, and equipment requirements to achieve test objectives.


Qualifications- Bachelor’s degree in Engineering (Master’s with focus on RF payloads or antenna theory is a plus).



Required Skills



  • Considerable commercial experience in antenna design research and/or development.
  • Proficiency in programming with Matlab, Python, or C++.
  • Expertise in antenna simulation tools and a solid background in phased arrays, element coupling, and scanning.
  • Knowledge of RF building blocks such as LNAs, Filters, Combiners, SSPAs, TWTAs, and Oscillators.
  • Familiarity with ESA processes and projects is highly advantageous.


Join Us- If you're passionate about space technology and want to be part of a dynamic team shaping the future of space exploration and communications, we want to hear from you!



Equal Opportunity Statement- Bluestream Recruitment is an Equal Opportunities Employer and operates as an Employment Agency for permanent recruitment and an as an Employment Business for temporary / contract recruitment.

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 Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 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.