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

Apply Now

Senior C++ Engineer

VANRATH
Belfast
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Snowflake Data Engineer

Senior Computer Vision Engineer - Robotics

Senior Computer Vision Engineer - Robotics

Senior Computer Vision Engineer

Senior Computer Vision Engineer

Senior Computer Vision Engineer

Job Title: Senior C++ Developer Location: Hybrid (3 days at office, 2 days remote) Salary: £65k About the Role: Join a leading global technology company in the building automation and security industry. The role focuses on developing a video analytics server for the AI core team, working with AI models to generate insights from live camera feeds. The team is part of a global organization, working on innovative solutions in video analytics, AI, and security. Responsibilities: Port deep learning models to edge devices. Design and develop scalable C++ and Python code for video analytics solutions. Optimize server code for GPU usage, ensuring low-latency and high-throughput. Collaborate with AI scientists and software developers across multiple regions. Required Qualifications: Degree in Computer Science. Experience in porting and optimizing algorithms to embedded systems. Expertise in Modern C++ (11/14/17) and multi-process/thread architectures. Ability to work in Belfast office 3 days per week. Authorization to work in the UK. Preferred Qualifications: Experience with deep learning models, TensorRT, and GPU programming (C++/CUDA). Familiarity with video technologies like GStreamer, DeepStream, Triton. Experience in microservices, containerization (Docker, Kubernetes). Familiarity with Python, Linux, and Embedded development. Experience with Agile/Scrum development processes and tools like Jira/Confluence. This is an exciting opportunity to work on cutting-edge AI and video analytics technologies in a dynamic, global team. Skills: c++. software engineer software engineering software development

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 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.

Jobs

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.

🍪 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.