5 of 5 Low Latency Jobs in Bolton

Network Engineer – Low Latency Trading Environment Up to £120,000 + Bonus Remote (UK/Europe) | London Office (Moorgate) Take the next step in your career now, scroll down to read the full role description and make your application. We're working with an elite trading technology firm building high-performance, low-latency connectivity solutions powering … engineers in a modern DevOps-driven culture — this one's for you. The Role Research, design, deploy and support new and existing networks (hardware, routing/switching, telco circuits, low-latency technologies, data centre connectivity). Use "Network as Code" principles – automate with Ansible, Terraform, and coding in Python/Bash. Develop new features, improve observability, and enhance … You'll Bring Solid experience as a Network Engineer or Systems Administrator — ideally both. Hands-on coding ability Automation experience – Ansible, Terraform, scripting in Python or Bash. Understanding of low-latency networking (TCP/IP, Multicast – IGMP/PIM, Layer2/3, WAN). Familiarity with BGP, EVPN, Arista or Cumulus Linux, and firewall automation. Strong Linux knowledge More ❯

research-driven environment. What You’ll Do Train and fine-tune LLMs and ML models using standardised experiments and high-quality data. Build and improve LLM-based systems for low-latency RAG systems, intent detection, call scoring, and email classification. Support real-time inference infrastructure with ultra-low latency and detailed monitoring. Create and maintain evaluation More ❯

directly shaping the integrity of global financial and crypto markets. 🔹 What you'll do Build and optimize real-time and batch surveillance algorithms Contribute to the design of scalable, low-latency systems Collaborate with quants, data scientists, and compliance experts Enhance and maintain a mission-critical global codebase 🔹 What they're looking for 5+ years' software engineering experience More ❯

and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL pipelines that handle large volumes of data efficiently, with low latency. Location/WFH: You'll join a small but growing team based in Central Manchester three days a week with flexibility to work from home the other two More ❯

speaker dataset preparation for model training. Collaborate with speech engineers and linguists to integrate linguistic, phonetic, and prosodic features into training workflows. Optimise models for real-time inference, ensuring low latency and high perceptual quality for live conversational systems. Support deployment of models across ConnexAI’s AI Voice and Conversational AI platforms, ensuring seamless integration with ASR, NLP More ❯