CV

Machine Learning Engineer

CV-Library
Lincolnshire, United Kingdomfull_timeVerifiedPosted 16 Jun 2026
💰 £90,000/yr(£80,000/yr£90,000/yr)

About the role

Role: Machine Learning Engineer Location:  Lincolnshire  Working Arrangement: Hybrid Salary: Up to £90k Are you an AI/ML Engineer who enjoys solving complex real-world problems where machine learning directly impacts operational outcomes? We're looking for an experienced engineer to join a specialist team developing next-generation AI and machine learning capabilities for advanced signal processing and automation challenges. You'll work on projects that combine cutting-edge ML techniques with practical engineering, helping transform large volumes of complex data into actionable intelligence. This is an opportunity to work on highly innovative programmes where your models will be deployed to solve genuine mission-critical challenges rather than remaining in research environments. What You'll Be Working On Machine learning for signal recognition and classification Extracting meaningful signals from noisy and complex datasets Applying AI to automate detection workflows and GUI operations, including intelligent frequency band selection What We're Looking For You will have strong experience developing and deploying machine learning solutions, ideally within signal processing, communications, RF, defence, aerospace, telecommunications, or similarly data-intensive environments. Experience with Python and modern ML frameworks is expected, alongside a passion for building practical AI solutions that deliver measurable results. Current SC Clearance is highly desirable, although candidates eligible and willing to undergo clearance will also be considered. What's On Offer You'll join a highly skilled engineering team tackling technically challenging problems, with access to interesting projects, modern technology stacks, and excellent opportunities for professional growth. Salary up to £90,000 plus a comprehensive benefits package. We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background

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