At a Glance
- Tasks: Develop ML algorithms for RF applications in electronic warfare and create proof-of-concepts.
- Company: Renowned research institute focused on AI technologies for electromagnetic environment management.
- Benefits: Competitive salary up to £58,000, hybrid working, and comprehensive benefits.
- Other info: Opportunity to lead high-quality research projects with excellent career development.
- Why this job: Make a real-world impact on UK security through innovative research in RF signal detection.
- Qualifications: Experience in RF, RADAR, or communication networks; strong ML application skills.
The predicted salary is between 70000 - 90000 £ per year.
ML algorithm development in the RF domain for electronic warfare South East England, hybrid working; to £58,000 + Benefits This renowned research institute is developing world-class capabilities in the understanding, management and exploitation of the electromagnetic environment through the application of AI technologies.
They research new algorithms and techniques to be used in congested and chaotic RF environments and develop subsequent proof-of-concepts.
While there is an academic feel to the work it has real-world impact as your discoveries are further developed and deployed by other teams.
The overriding objective of this team is to ensure the continued security and defence of the UK and UK personnel both at home and overseas.
Your research will therefore be focused on detection and exploitation of RF signals including both protection measures and offensive capabilities.
You will need to be eligible and willing to undergo SC security clearance checks.
This typically means you need to be a UK citizen.
Requirements: Demonstrable experience developing algorithms to solve problems in RF, RADAR, communication networks or similar physics or engineering domains.
Commercial or academic experience applying ML techniques to real-world problems.
Experience leading high-quality research projects including publishing research to top-tier revie...
Machine Learning Researcher employer: ECM Selection
This diagnostics company, located on the picturesque borders of Essex and Cambridgeshire, is an exceptional employer for those passionate about making a meaningful impact in public health. With a strong focus on employee growth and development, they offer a collaborative work culture where innovation thrives, and team members are encouraged to adapt and learn new skills. The opportunity to be a founding member of the software team, combined with a competitive salary and the chance to work in a serene countryside setting, makes this role particularly attractive for aspiring Medical Device Software Engineers.
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We think this is how you could land Machine Learning Researcher
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We think you need these skills to ace Machine Learning Researcher
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ECM Selection. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
