126 to 150 of 192 Low Latency Jobs in England

authorisation systems (e.g., OAuth2, JWT) Success Metrics Deploy secure, scalable, and maintainable full-stack systems and LLM applications that deliver measurable business value Maintain low latency, high system uptime, and strong performance across APIs and AI services Drive fast, iterative collaboration across product, design, and engineering teams Continuously ...

dedicated operations team who handle most issues. Some key examples of the sort of work the team does: Data feed development for high volume low latency exchange connections Development and maintenance of key libraries used by the entire team Development of key underlying transport protocols for transmission ...

Capabilities, and Skills Design and deploy production ML pipelines using DAG frameworks, including custom operator development and pipeline optimization. Architect and implement high‐throughput, low‐latency microservices with gRPC, REST, and GraphQL, including protocol buffer schema design, streaming endpoints, and load balancing. Apply hands‐on experience with parameter ...

requirements into actionable technical plans. AI Platform Engineers - Lead the development of backend services for a government client, with a focus on high availability, low latency, and scalability. You'll design, build, and deploy backend features, own continuous deployment pipelines, and operate within agile, cross-functional delivery teams. ...

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 ...

e.g., retention, engagement, revenue) at scale (100M+ users). Production Engineering: You are an engineer first. Deep proficiency in Python/C++, experience with low-latency inference systems, and familiarity with distributed computing frameworks (Ray, Spark, Flink). You write code that survives in production, not just notebooks. … LLMs, RL, multi‐agent orchestration). Technical Strategy: Experience defining technical roadmaps and architectural standards. You can navigate trade-offs between model complexity, serving latency, and engineering velocity. Nice to Have PhD or M.S. in Computer Science, Statistics, or a related quantitative field. Experience at a frontier ...

person others look to for the hard calls. Experience delivering data products that serve diverse consumers — analytics, APIs, AI/ML systems — with different latency, quality, and access requirements. Background in financial services, insurance, or broking is a plus but not required. Technical Skills Deep expertise in Databricks, including … experience implementing quality, schema, and SLA commitments in production. Familiarity with the machine interface layer: APIs (REST, GraphQL), AI agent frameworks, MCP, vectorization, and low-latency query patterns for AI consumption. Understanding of foundational governance capabilities: access security (Entra ID, Unity Catalog), data lineage tooling, CI/ ...

standards of top-tier high-frequency trading firms with the pace and ownership of a technology start-up. You’ll work on a global, low-latency trading platform spanning multiple continents, covering: Real-time market data capture Order entry and connectivity across numerous exchanges Robust networking and monitoring … compensation with strong earning potential Central London office with flexible working arrangements (hybrid) Visa sponsorship and relocation support available If you’re passionate about low-level systems, high-performance C++, and building robust trading infrastructure from the ground up, this is a rare opportunity to make a direct impact ...

SCSS/SASS. At Microlise we know the importance of a good work/life balance, so offer flexible working opportunities with a low overtime culture; theres a reason our average length of service is 7+ years! If you are looking for a new challenge and have a strong … services, and database components. Working knowledge of widely used software design patterns, optimisation techniques, performance profiling, and implementation strategies for high throughput or low latency systems. Experience mentoring and coaching engineers at various stages of their career development. This includes providing technical guidance, assisting with setting development goals ...

infrastructure as code Benefits High ownership and real impact on critical systems Work at the intersection of networking, cloud, and automation Solve complex, low‐latency engineering challenge Salary Up to £150k #J-18808-Ljbffr ...

simulation platforms underpinning sophisticated quantitative research and investment strategies. Scale cutting-edge machine learning workloads across large distributed compute environments. Optimise mission-critical, low-latency infrastructure where performance and reliability are paramount. Own the full lifecycle of solutions, from early-stage research and experimentation through to production deployment ...

Video integrations. Knowledge of WebRTC and real-time communication technologies. Understanding of cybersecurity principles and secure software development practices. Experience with prompt engineering and low-latency knowledge retrieval systems. If you're passionate about building exceptional software and enjoy working in a fast-paced, technology-driven environment ...

backtesting Partner closely with traders to translate market insights into quantitative strategies Collaborate with technology teams to deploy models into production systems, ensuring low-latency and high-performance execution Continuously monitor, evaluate, and improve model performance in live trading environments Contribute to the ongoing development of the team ...

based environment. Specifically need someone who understands both quantitative modelling and high-performance engineering. Requires strong experience in performance optimization, scalable pricing implementations, and low-latency quantitative systems. Many quants focus only on model correctness and ignore performance considerations, whereas this role requires both numerical accuracy and production ...

Responsibilities Own the design, development, and operation of the core backend services that power our consumer-facing products and internal operational tooling. Build scalable, low-latency systems that can handle real-time updates and significant traffic spikes during live matchdays, using caching, load management, and graceful degradation techniques. ...

where required Backend Development (.NET) Build robust services using C# and .NET Develop APIs and services for downstream consumers Optimise for performance, reliability, and low-latency processing Work within distributed, containerised environments System Integration Work across a distributed system (e.g. message brokers, microservices) Integrate with existing platform components ...

client leveraging the latest commercial and open-source technologies. This involves designing, developing, documenting and deploying backend services with a focus on high availability, low latency and scalability. Duties & Responsibilities Design, develop, document and deploy new or enhanced features to our backend services that meet functional/ ...

Certification (Az-104, Az-305, Az-400). Kubernetes Certification (CKA). Terraform Associate/OpenTofu equivalent (when available). Experience with high volume low latency SaaS systems. Experience with distributed and event driven architectures. Experience with Ingress Solutions such as Azure Front Door and API Management. Experience ...

Windows. The core stack is Rust, with WebRTC and some GStreamer. In a browser, WebRTC handles huge amounts of the low-level work for you. Building it natively means they write or modify much of that themselves. GStreamer covers some of it, but its real-time plugins aren … others in the team in this area. The entire audio/video part of the code feels extremely solid and well tested. Qualifications Deep, low-level audio/video and RTP experience: encoding/decoding, pipeline internals, low-latency transport. Not just WebRTC consumed via browser APIs ...

core revenue-generating function of the business. The systems you build will support forecasting, optimisation, reconciliation and real-time operational decision-making. Reliability, latency and scalability matter because the platform sits directly in the path of commercial outcomes. If you enjoy building production-grade systems where data is used … building the operational platform that underpins critical commercial workflows. The challenges are genuinely engineering-focused: High-volume event processing Real-time decision support Low-latency data systems Platform reliability and observability Revenue-critical infrastructure You'll join a business with a genuine tech-for-good mission, solving complex ...

backend engineer owning complex services in production. Production-level expertise in Go and/or Java. Experience building or maintaining high-volume, low-latency distributed systems. Strong API design skills. Hands-on experience with AWS cloud-native deployment. A systems-thinking approach to performance, correctness, and failure modes ...

backend engineer owning complex services in production. Production-level expertise in Go and/or Java. Experience building or maintaining high-volume, low-latency distributed systems. Strong API design skills. Hands-on experience with AWS cloud-native deployment. A systems-thinking approach to performance, correctness, and failure modes ...

implementation level within complex distributed systems. The environment is heavily focused on: Real-time event-driven processing High-throughput backend services Distributed microservice architectures Low-latency data ingestion pipelines Operational resilience and observability Production-scale concurrency and asynchronous processing Youll be joining a team working on systems that ...

setting technical direction for a platform spanning financial instruments, corporate actions, market calendars, and alternative datasets: working across asset classes, in a low-latency environment where data correctness isn't just good practice, it's P&L-critical. The stack leans on C++ and Python , and the challenge ...

reliable results in near real‐time. Key responsibilities: Develop detectors using advanced computer vision and machine learning (ML) techniques. Optimize solutions to ensure low latency and cost‐effective operation at scale for customers. Apply deep knowledge of the Machine Learning lifecycle, including model training, optimization, experimentation, and maintenance. ...