National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Algorithm Engineer - Remote

Redline Group Ltd
East Marden
5 months ago
Applications closed

Related Jobs

View all jobs

Computer Vision Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Algorithm Engineer - RemoteAre you an experienced Senior Algorithm Engineer with a passion for sensor fusion and perception, looking for a remote opportunity in aerospace or defense?This company is seeking a talented Senior Algorithm Engineer to develop state-of-the-art sensor fusion algorithms, and to work with multi-modal sensor data to enhance aerospace products.Key Responsibilities of this Remote Senior Algorithm Engineer Job:Design and optimise algorithms for sensor fusion, tracking, and object classification.Develop multi-sensor fusion models for accurate situational awareness.Integrate cutting-edge machine learning and data fusion techniques into aerospace systems.Optimise algorithms for real-time performance.Conduct testing and validation of fusion systems.Collaborate with hardware, software, and systems engineers to integrate algorithms.Key Skills Required to apply for this Remote Senior Algorithm Engineer Job:Degree in Engineering, Computer Science, Mathematics, Physics, or related field; MSc/PhD preferred.Extensive experience in algorithm development.Proficiency in Python and C++, with knowledge of data fusion and perception algorithms.Experience with radar, computer vision, and signal processing.Bonus: Experience with machine learning and large-scale sensor data.To apply, please email or call / 01582878828TPBN1_UKTJ

National AI Awards 2025

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.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.