Machine Learning Engineer - UK

Principal Machine Learning Engineer, Advanced Network Orchestration We are seeking a highly experienced Machine Learning Engineer for a hybrid role focused on advanced temporospatial networking and resource management. This role involves applying cutting-edge ML research to solve critical network orchestration challenges. If you excel at translating novel algorithms into robust, high-impact systems, this is your opportunity.

Key Responsibilities ML Research: Research and apply state-of-the-art ML and optimization algorithms for network orchestration. MLOps & Infra: Develop and maintain ML training infrastructure using Kubernetes and advanced MLOps tooling. System Integration: Integrate AI technology with core platform components, ensuring end-to-end functionality. Technical Authority: Act as the technical expert on ML technologies, interacting directly with customers and partners. Documentation: Develop and maintain documentation for novel algorithms.

Required Qualifications Education: Master's or Ph.D. in CS, Math, Statistics, or a related quantitative field. ML/Optimization Fluency: Expertise in Python and proficiency with PyTorch, TensorFlow OR optimization libraries (Gurobi, Google OR tools). Code Quality: Ability to write clean, maintainable, and efficient production code. Communication: Strong technical communication skills across all functions. Impact Drive: Desire to pitch and advocate for the technology. Preferred Experience Experience in wireless/satellite communications or Software-Defined Networking (SDN). Prior experience in a technical sales or customer-facing role. Experience writing tests for software and ML algorithms. Proficiency with C, C++, or Go.