AgileGrid Solutions
Machine Learning Engineer
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About The Company
Rebel Recruitment Limited is a leading provider of specialized engineering and technical staffing solutions, dedicated to connecting innovative organizations with top-tier talent across various high-tech industries. With a strong reputation for excellence, Rebel Recruitment prides itself on delivering tailored recruitment services that meet the unique needs of clients engaged in cutting-edge research, development, and operational activities. Our commitment to diversity, integrity, and professionalism ensures that we maintain long-lasting relationships with both candidates and clients, fostering a collaborative environment where innovation thrives.
About The Role
We are seeking a highly skilled Machine Learning Engineer to join our client’s dynamic team based in Lincolnshire. This hybrid working role offers an exciting opportunity to work on pioneering projects involving advanced signal processing and automation. The successful candidate will be instrumental in developing and deploying machine learning solutions that address complex real-world challenges, particularly in areas such as communications, RF, defence, and aerospace sectors. You will collaborate with multidisciplinary teams to design models that convert vast amounts of data into actionable intelligence, directly impacting operational efficiency and mission success.
This position provides a platform to work on innovative programmes where your models will be integrated into real-world applications, moving beyond research into tangible deployment. The role demands a blend of technical expertise, practical problem-solving skills, and a passion for leveraging AI to solve mission-critical challenges.
Qualifications
The ideal candidate will possess a strong background in developing and deploying machine learning solutions within data-intensive environments. A degree in Computer Science, Electrical Engineering, Data Science, or a related field is preferred. Proven experience with Python and modern ML frameworks such as TensorFlow, PyTorch, or scikit-learn is essential. Hands-on experience in signal processing, communications, RF, or similar domains will be highly regarded. Candidates should demonstrate a solid understanding of algorithms, data analysis, and model optimization techniques.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Security clearance is highly desirable; current SC clearance is a significant advantage. However, candidates who are eligible and willing to undergo the clearance process will also be considered. Strong communication skills, the ability to work collaboratively in a team, and a proactive approach to problem-solving are key attributes for success in this role.
Responsibilities
- Design, develop, and implement machine learning models for signal recognition and classification tasks.
- Extract meaningful signals from noisy and complex datasets to improve detection accuracy and operational insights.
- Automate detection workflows and GUI operations using AI techniques, including intelligent frequency band selection and signal filtering.
- Collaborate with multidisciplinary teams to identify technical requirements and translate them into effective ML solutions.
- Conduct data analysis, feature engineering, and model validation to ensure robustness and reliability of deployed solutions.
- Maintain and improve existing ML models, ensuring they adapt to evolving operational environments.
- Document development processes, methodologies, and results to facilitate knowledge sharing and continuous improvement.
- Stay updated with the latest advancements in machine learning and signal processing to incorporate innovative techniques into projects.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Benefits
Joining Rebel Recruitment Limited’s client offers access to a stimulating work environment with opportunities for professional development and career progression. The role provides a competitive salary of up to £90,000, complemented by a comprehensive benefits package including health insurance, pension contributions, and flexible working arrangements. You will be part of a highly skilled engineering team working on technically challenging projects that have a tangible impact on operational success.
The company fosters a culture of innovation, continuous learning, and collaboration, ensuring that employees are supported in their growth and development. Opportunities for training, attending conferences, and working with state-of-the-art technology are integral parts of this role, providing an enriching environment for engineers passionate about advancing their expertise in AI and signal processing.
Equal Opportunity
Rebel Recruitment Limited is committed to creating an inclusive and diverse workplace. We believe that a variety of perspectives and backgrounds enhances our ability to innovate and serve our clients effectively. We welcome applications from all qualified individuals regardless of race, gender, age, religion, disability, sexual orientation, or background. Our hiring process is designed to be fair and equitable, ensuring that every candidate is evaluated based on merit and potential. We are dedicated to providing equal opportunities and fostering a respectful environment where everyone can thrive and succeed.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location