Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Software Engineer - EMEA (Europe) Based

Nucleus Security
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer - Data Engineering Team

Senior Software Engineer, Machine Learning

Senior Software Engineer, Data & Machine Learning

Senior Software Engineer, AI/Machine Learning - EA SPORTS FC

Senior Software Engineer, Machine Learning Services (MLS)

Senior Software Engineer, Machine Learning - EA SPORTSTM FC

Senior Software Engineer - EMEA Region Are you looking for more in life than just building another web app? Does upending cyber security resonate with you? We're a rapidly expanding cybersecurity startup revolutionizing vulnerability management for organizations of all sizes. For our customers, vulnerability management has always been a game of catch-up, with limited asset coverage and manual processes. Nucleus' primary mission is to create a fast, scalable platform that not only addresses these challenges but also makes vulnerability management simple, fun, and effortless. Currently, we're looking for a passionate Senior PHP Data Engineer to join our growing team of engineers.  This is a remote role based in the EMEA region (Europe). What You Will Do:  The following skills and experience are key to succeeding in this role:  Strong background in data analytics, data science, and/or data warehousing. Proficiency in working with relational databases, including MySQL or PostgreSQL. Experience in an object-oriented programming language such as PHP or Java. Experience working in a test-driven environment and writing unit and integration tests Proven ability in technical troubleshooting. Capable of working independently as well as collaboratively with teams across different time zones. Preferred Qualifications:  Experience working with vulnerability scanning technologies on any part of the tech stack (e.g., SCA, SAST, DAST, IAST, VM Scanning, Container, etc.)  Experience with column store databases and columnar data, especially using SingleStore/MEMSQL Experience working in cloud environments, ideally AWS.  Familiarity with Agile/Scrum methodologies in a professional setting. Experience maintaining applications on Linux platforms in cloud environments. Experience with modern versions of PHP, and the Zend and Laminas Frameworks Major or minor in a mathematics discipline Improve key components of the application to enable data scalability. Why You Should Be Excited     Nucleus is a truly unique solution that’s defining a market AND making an actual impact.    We’re biased, but you will get to work with one of the best teams in security. We have a lot to get done and we work extremely hard, but we have fun in the process.    Outstanding benefits - flexible PTO, generous education and training budget, fully remote… just to start       Additional Information   At Nucleus we are committed to achieving excellence in our field by combining diversity, collaboration, teamwork, and pride in our work. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or disability.    Powered by JazzHR

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.