51 to 75 of 83 Memory Management Jobs in London

Deployed Engineerprogramme. Key Responsibilities Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets … Integrate and abstract across multiple LLM providers OpenAI, Anthropic, Vertex AI, and open-source models with fallback routing, token, cost, and latency management ImplementLLMOpsin production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring Embed directly with client engineering teams ...

optimising low-latency systems Familiarity with performance tuning and profiling tools (e.g. JMH, async-profiler, Flight Recorder) Solid understanding of multithreading, concurrency, and memory management Experience with microservice architectures and event-driven systems Linux fundamentals and comfort with performance diagnostics Clear communication skills and ability to articulate design … performance decisions Nice to have Experience with high-performance messaging (Chronicle Queue/Wire, Aeron, ZeroMQ, Kafka tuning) Familiarity with off-heap or direct memory structures (Chronicle Map, VarHandles, DirectByteBuffers) Networking/I/O frameworks such as Netty or custom FIX engines Exposure to OpenHFT, LMAX Disruptor ...

Engineerprogramme. Key Responsibilities Architect and govern production-grade agentic systems at enterprise scale: multi-agent orchestration across complex environments, RAG pipelines, policy-based routing, memory management, andprogramme-level lifecycle observability Define RAG pipeline standards across engagements:establishchunking and embedding strategies, set quality benchmarks, and ensure metric-backed tradeoff … AutoGen, or equivalent at production depth, not tutorial level Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management,latencyand cost tradeoffs RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering LLMOpsfundamentals: eval harness design, prompt versioning, and production observability Cloud ...

performance-critical environment Experience within HFT, electronic trading, market making, systematic trading, or other latency-sensitive domains Strong understanding of Linux internals, multithreading, concurrency, memory management, and performance optimisation Expertise in low-latency systems, kernel-level development, network optimisation, market data, or exchange connectivity Demonstrated tenure and track ...

performance Java (21+) systems for pricing, risk and trading. Build and enhance components within a low latency, high-throughput trading architecture. Apply advanced concurrency, memory management and performance tuning techniques. System Design & Ownership Take responsibility for designing scalable, resilient and maintainable systems. Contribute to architectural decisions across ...

performance Java (21+) systems for pricing, risk and trading. Build and enhance components within a low latency, high-throughput trading architecture. Apply advanced concurrency, memory management and performance tuning techniques. System Design & Ownership Take responsibility for designing scalable, resilient and maintainable systems. Contribute to architectural decisions across ...

building trading, pricing, risk, analytics, market data, execution, or financial technology systems. Strong understanding of multi-threaded application design, distributed systems, data structures, algorithms, memory management, and system design. Ability to work directly with Traders, Sales, Quantitative Researchers, and Engineers in a fast-paced front-office environment. Highly ...

performance Java (21+) systems for pricing, risk and trading. Build and enhance components within a low latency, high‐throughput trading architecture. Apply advanced concurrency, memory management and performance tuning techniques. System Design & Ownership Take responsibility for designing scalable, resilient and maintainable systems. Contribute to architectural decisions across ...

degree in Computer Science or a closely related field (Bachelor’s or higher), with a strong grasp of core computer science concepts such as memory management, concurrency, and backend development principles Strong programming skills, supported by several years of professional software engineering experience Experience with Java, C, C++ ...

edge cases and failure modes, with senior engineers alongside you to learn from. What we're looking for Solid commercial Swift experience. You understand memory management, concurrency (async/await, actors), and can reason about state in complex flows Experience with SwiftUI in production, or UIKit experience with ...

business‐critical changes, setting the standard for quality, performance, and maintainability. Provide hands‐on expertise in Java‐based systems, including concurrency, performance tuning, memory management, and API design. Non‐Functional Ownership & System PerformanceTake a leading role in defining, implementing, and validating non‐functional requirements, including system latency, throughput … scalability, and reliability. Drive solutions for cloud scaling and capacity management, ensuring the platform performs predictably under variable and peak loads. Provide deep expertise in working with large databases and data stores, including performance optimisation, data access patterns, and operational scaling. Problem Solving & Technical Decision SupportSolve the most complex ...

orchestration for millions of concurrent sessions with heterogeneous latencies and variable-length episodes Own sandbox startup and execution performance: minimise cold start latency, use memory snapshots and warm pools to cut restore times, and optimise teardown - keeping sandbox lifecycle on the order of milliseconds, not seconds Design pause/… resume and resource reclamation patterns that free CPU and memory while the agent is thinking, and checkpoint/restore environment state when the agent is ready to act Build fault tolerance for long-running sessions: phase-aware timeouts, session recovery via checkpointing, stale job cleanup, and graceful cancellation with ...

trading infrastructureWork on projects ranging from real-time market data processing to order executionOptimise systems at the micro-architectural level (cache usage, CPU pipelines, memory layout)Contribute to the design of distributed or parallel computation frameworksCollaborate with researchers, infrastructure teams, and hardware specialistsWrite clean, maintainable, post-C++11 code … modernise existing components where neededWhat You'll NeedStrong command of modern C++ and associated toolingDeep understanding of system internals: memory management, caching, paging, CPU execution pipelinesSolid knowledge of algorithms, data structures, and performance trade-offsExperience designing complex systems intended for long uptime and high availabilityFamiliarity with Linux systems ...

autonomously and making technical decisions, while also collaborating closely with a highly technical team Experience in any of the following would be beneficial: Python memory management and performance optimisation GPU optimisation and acceleration Responsibilities for Machine Learning Engineer: Deploy and integrate new machine learning models into advanced commercial … specialists and Security Researchers Take projects from rapid prototyping and experimentation through to production implementation Optimise machine learning models for speed, scale, runtime and memory usage Help improve the performance and scalability of existing AI systems Develop innovative new features using machine learning and AI technologies Explore new technologies ...

their compute challenges and design optimised solutions. Profiling, benchmarking and tuning large-scale training and inference workloads for performance on distributed CPU, GPU and memory-intensive jobs. Developing reference implementations, libraries and tools to improve job efficiency and reliability. Collaborating closely with systems, architecture and platform teams to evolve … PyTorch. Strong background in data structures, algorithms, and parallel programming on heterogeneous systems. Deep understanding of Linux OS fundamentals, such as as scheduling, memory management, NUMA, networking, and filesystems. Familiarity with profiling and monitoring tools, such as nsys, ncu, eBPF-based tools, and performance counters. Strong communication skills ...

execution across containerized and virtualized environments Ensure strong isolation, security, and reproducibility of execution across user sessions and workloads Optimise for cold-start latency, memory footprint, and resource utilisation at scale Drive down error rates through systematic debugging, monitoring, and proactive fixes Partner closely with internal teams using … experience building high-performance systems software, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs Deep understanding of Linux internals: process isolation, memory management, cgroups, namespaces, etc. Experience with containerisation and virtualisation technologies (e.g., Docker, Firecracker, gVisor, QEMU, Kata Containers) Proficiency in a systems programming language ...

scalability and reliability directly impact trading performance. Technical Skills Modern C++ & Low Latency: Modern C++ (C++17/20/23 and beyond) Multithreading, Concurrency & Memory Management STL, Object-Oriented Design & Software Architecture Messaging Infrastructure Networking: TCP/IP, UDP & Socket Programming High-Performance Networking FIX Protocol Exchange Connectivity ...

with researchers, senior stakeholders and engineers to understand compute challenges and design optimised solutionsProfiling, benchmarking and tuning large-scale workloads across CPU, GPU and memory-intensive jobsDeveloping reference implementations, libraries and tools to improve job efficiency and reliabilityCollaborating with systems, architecture and platform teams to evolve our compute stackInfluencing … scale workloadsProficiency in one or more programming languages, with strong grounding in algorithms and performance optimisationDeep understanding of Linux internals, for example across scheduling, memory management, NUMA, networking and filesystemsExperience with HPC schedulers and Kubernetes workload orchestrationHands-on experience with heterogeneous compute, such as GPUs, multi-core ...

Bedrock* Define reusable architecture patterns for model customization, prompt orchestration, retrieval pipelines, and agentic workflows* Design agentic AI systems incorporating tool use, workflow orchestration, memory management, and autonomous decision flows* Implement observability for prompts, model responses, vector retrieval quality, and agent execution workflows* Integrate GenAI capabilities into enterprise … applications, APIs, workflow platforms, and data ecosystems* Work with security, risk, compliance, engineering, and business teams to enable LLMOps and AgenticOps capabilities - prompt lifecycle management, model observability, caching, evaluation and governance.* Ensure compliance with enterprise governance, model risk, auditability, data privacy, and regulatory requirements in highly regulated environments* Produce ...

Required Extensive production experience building latency-sensitive systems using modern C++. Experience in market making, electronic trading or exchange connectivity. Strong understanding of concurrency, memory management and performance optimisation. Working knowledge of SQL and relational databases (Postgres, SQL Server, or similar). Excellent written and verbal communication skills. ...

Responsibilities Design and implement long-running, harness-based multi-agent architectures — covering topologies, orchestration, memory management, tool registries, and execution environments. Develop behavioral and persona models with goal-directed simulations, including evaluation frameworks, prompt schemas, and automated or human-in-the-loop feedback mechanisms to measure fidelity ...

experience building and supporting order/execution workflows. Strong hands-on skills in C# or Python, advanced SQL, and solid foundations in data structures, memory management, and concurrency. Experience with AWS/Snowflake and modern UI frameworks (Angular/React/Vue). Excellent stakeholder communication ...

Github CoPilot, Claude Code and/or similar AI assisted coding tools. Designing and implementing multi-agent orchestration, function calling, tool use, long-term memory management, and guardrails. Proficient with integration technologies and protocols (APIs,ReST,HTTPS etc..) Expertise in AI/ML algorithms, enterprise-scale applications ...

teams. In this role, you will also be responsible to: Implement agent-based AI solutions using the Workato Agentic AI platform. Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows. Act as a technical solutions expert ...

UIKit-to-SwiftUI migration and collaborating with backend, product and design to deliver reliable payment experiences. We require solid Swift experience, knowledge of memory management, concurrency, and testing practices. #J-18808-Ljbffr ...