23 of 23 Permanent Network Optimisation Jobs in the UK

Lutron QSX, Crestron Home systems. Advanced Knowledge of Data Networking: Strong understanding of data networks, including IP addressing, router and switch configuration, and wireless network optimisation for AV systems. Technical Proficiency: Deep knowledge of AV technologies, including audio/video distribution, control systems, automation, and integration with third ...

skills. Ability to commit 20–30 hours per week. Preferred Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments. Knowledge of network optimization, data streaming, and caching architectures. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form ...

skills. Ability to commit 20–30 hours per week. Preferred Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments. Knowledge of network optimization, data streaming, and caching architectures. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form ...

skills. Ability to commit 20–30 hours per week. Preferred Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments. Knowledge of network optimization, data streaming, and caching architectures. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form ...

skills. Ability to commit 20–30 hours per week. Preferred Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments. Knowledge of network optimization, data streaming, and caching architectures. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form ...

skills. Ability to commit 20–30 hours per week. Preferred Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments. Knowledge of network optimization, data streaming, and caching architectures. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form ...

skills. Ability to commit 20–30 hours per week. Preferred Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments. Knowledge of network optimization, data streaming, and caching architectures. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form ...

skills. Ability to commit 20–30 hours per week. Preferred Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments. Knowledge of network optimization, data streaming, and caching architectures. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form ...

skills. Ability to commit 20–30 hours per week. Preferred Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments. Knowledge of network optimization, data streaming, and caching architectures. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form ...

skills. Ability to commit 20–30 hours per week. Preferred Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments. Knowledge of network optimization, data streaming, and caching architectures. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form ...

skills. Ability to commit 20–30 hours per week. Preferred Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments. Knowledge of network optimization, data streaming, and caching architectures. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form ...

skills. Ability to commit 20–30 hours per week. Preferred Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments. Knowledge of network optimization, data streaming, and caching architectures. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form ...

skills. Ability to commit 20–30 hours per week. Preferred Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments. Knowledge of network optimization, data streaming, and caching architectures. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form ...

skills. Ability to commit 20–30 hours per week. Preferred Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments. Knowledge of network optimization, data streaming, and caching architectures. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form ...

skills. Ability to commit 20–30 hours per week. Preferred Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments. Knowledge of network optimization, data streaming, and caching architectures. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form ...

skills. Ability to commit 20–30 hours per week. Preferred Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments. Knowledge of network optimization, data streaming, and caching architectures. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form ...

skills. Ability to commit 20–30 hours per week. Preferred Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments. Knowledge of network optimization, data streaming, and caching architectures. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form ...

skills. Ability to commit 20–30 hours per week. Preferred Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments. Knowledge of network optimization, data streaming, and caching architectures. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form ...

skills. Ability to commit 20–30 hours per week. Preferred Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments. Knowledge of network optimization, data streaming, and caching architectures. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form ...

skills. Ability to commit 20–30 hours per week. Preferred Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments. Knowledge of network optimization, data streaming, and caching architectures. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form ...

skills. Ability to commit 20–30 hours per week. Preferred Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments. Knowledge of network optimization, data streaming, and caching architectures. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form ...

skills. Ability to commit 20–30 hours per week. Preferred Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments. Knowledge of network optimization, data streaming, and caching architectures. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form ...

JR0128063 - London We are seeking an experienced Director, APN Network Management to lead the global strategy, governance, and operations of Western Union's Account Payment Network (APN)a critical infrastructure of global pay-out partners including banks, wallets, and card providers. This senior leadership role is central … OKRs to drive performance and accountability. Develop and maintain strong relationships with internal stakeholders and external partners. Identify and cultivate strategic partnerships to enhance network capabilities and coverage. Stay ahead of global payment trends and regulatory changes, adapting strategy accordingly. Collaborate with risk, compliance, legal, and tech teams ...