3 of 3 Permanent Low Latency Jobs in the City of Westminster

achieve functional technology objectives Work directly with Lines of Business to understand and address their needs and challenges within the compute space within a low-latency Electronic Trading environment Direct the strategies for server hardware platform, server/OS tuning and automation, and infrastructure application lifecycle Design Authority … skills Mentor SRE and partner teams on automation best practices, technical thought process, and modern infrastructure management Linux administration, performance tuning, and benchmarking for low-latency Electronic Trading, preferably Red Hat Enterprise Linux Extensive experience with Configuration Management, preferably Chef or Ansible Performing various research/development/ ...

e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls. Drive improvements in latency, throughput, and stability across high volume trading applications. Build and maintain tooling for monitoring, alerting, and distributed tracing across global environments. Operate within … ensure end to end reliability. Required Qualifications, Capabilities, and Skills: Strong hands on experience in front office trading environments or similarly high pressure, low latency domains. Proficiency with SRE tooling and techniques, including FIX messaging, Kafka, Grafana, Splunk, ITRS Geneos, Dynatrace, InfluxDB, MQ (IBM MQ or similar), Oracle ...

direction. Collaborate with engineers, product managers, applied scientists, and domain experts to translate ambiguous business problems into scalable ML solutions. Contribute to system design, low-level design, API development, and data modelling for production machine learning systems. Build and operate production solutions using technologies such as Python, TensorFlow, PyTorch … Generative AI capabilities for content understanding, summarisation, classification, and recommendation use cases. Build evaluation frameworks and observability solutions to monitor model quality, reliability, latency, drift, and business impact. Evaluate trade-offs between model quality, scalability, latency, and infrastructure cost when developing AI-powered products. Partner with engineering teams ...