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

Apply Now

Senior Software Engineer

Glasgow
8 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Evaluation Engineer

Computer Vision Tech Lead

Senior Backend Software Engineer (Python) in London - NLPatent

Scientific Data Scientist

Senior Data Engineer

Senior MLOps Engineer: AI-Driven Banking Platform

Glasgow, hybrid two days per week onsite.

Are you ready to join an industry-leading technology firm at the forefront of digital media security?

Our client is a well-established leader who actively drives innovation through transformative projects that enhance secure streaming and robust digital rights management. This is your chance to join an inclusive, forward-thinking team where your skills drive real change in digital media.

Responsibilities:

  • Develop and optimize code in C, C++, Assembly, Swift, and Objective-C.

  • Utilize tools such as Xcode, TestFlight, and other development and deployment platforms

  • Perform reverse engineering and debugging of mobile apps to assess vulnerabilities and test protection solutions

  • Implement features to prevent reverse engineering, tampering, and unauthorized access using tools like obfuscation, encryption, and code hardening

    Requirements:

  • Having a domain knowledge in mobile app security and security principles.

  • Expertise in reverse engineering and debugging tools such as IDA Pro, Ghidra, Frida, or similar

  • Proficiency in C, C++, and Assembly programming languages.

  • Advanced knowledge of 3 or more programming languages.

  • Bachelor's degree in computer science or Any engineering area with exposure to software engineering.

    Desirable:

  • Experience in Android development and associated tools (e.g., Android Studio, Kotlin) is a plus

  • Knowledge of machine learning or AI techniques applied to security solutions is a plus

  • Certifications in cybersecurity (e.g., CISSP, CEH, OSCP) are a plus.

    This is an urgent requirement and my client will move quickly for the right candidate. Please apply for immediate consideration

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.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.