1 to 25 of 83 Memory Management Jobs in London

that possible: a principled, evidence‐based method for building agentic systems automatically at unprecedented scale. Today, designing these systems is a craft. Decisions about memory management, task decomposition, tool use and inter‐agent coordination are made on intuition and convention. The results work until they … turn those findings into interventions that measurably move intelligence, cost and reliability Attack one or more of our core research themes: context and memory management; agent steering, task decomposition and specialisation; continual learning during deployment; and inter‐agent communication Build agent analysis and evaluation infrastructure - observability, behaviour analysis ...

delivery of machine learning and AI solutions for complex payments and banking operations problems, from discovery and framing to production rollout and lifecycle management Develop innovative machine learning solutions, including generative AI and multi‐agent approaches, and define evaluation, safety, and monitoring strategies for production use Own production deployment … science and machine learning capabilities that scale across use cases, including feature engineering, evaluation harnesses, prompt tooling patterns, agent frameworks, orchestration, and context and memory management Provide technical leadership and mentorship through code reviews, design reviews, best practices, and upskilling across data science and engineering partners Communicate with ...

delivery of machine learning and AI solutions for complex payments and banking operations problems, from discovery and framing to production rollout and lifecycle management Develop innovative machine learning solutions, including generative AI and multi-agent approaches, and define evaluation, safety, and monitoring strategies for production use Own production deployment … science and machine learning capabilities that scale across use cases, including feature engineering, evaluation harnesses, prompt tooling patterns, agent frameworks, orchestration, and context and memory management Provide technical leadership and mentorship through code reviews, design reviews, best practices, and upskilling across data science and engineering partners Communicate with ...

implement, and maintain high performance C++ services handling high message rates and low latency workloads. Optimize existing components for latency, throughput, and CPU/memory efficiency. Develop and tune networking, messaging, and I/O layers to handle large data volumes reliably. Profile and debug performance issues at application … C++17/20 or later) Hands-on experience with Market Data Solid understanding of concurrency and synchronization (lock free/low lock patterns, atomics, memory models, etc.). Proven experience building performance critical, real time, or low latency systems (e.g., networking, trading systems, telemetry, gaming engines, or similar). ...

architectures Navigate large codebases across multiple teams Mentor engineers and raise the technical bar within the team Focus on performance, concurrency, multithreading, and mobile memory management Address mobile scalability considerations, including caching, network usage, responsiveness, and offline behavior Engage in product and technical discussions to handle ambiguity Qualifications … mobile architectures Ability to work across large codebases and collaborate across multiple teams Experience mentoring engineers Strong understanding of performance, concurrency, multithreading, and mobile memory management Understanding of mobile scalability, including caching, network usage, responsiveness, and offline behavior Ability to navigate ambiguity and contribute to product and technical ...

human‐in‐the‐loop), and frameworks (LangGraph, CrewAI, MAF, OpenAI Agents SDK, Google ADK). Proven ability to architect reliable agentic workflows with memory, state management and safe multi‐step task execution at scale. Model Context Protocol (MCP) & Interoperability – architectural knowledge of MCP for secure connectivity between LLMs … data preprocessing, model training, deployment and monitoring. Define reusable architecture patterns and platform standards for agentic AI, including orchestration, MCP‐based integration, shared skills, memory management, guardrails, human oversight and observability. Collaborate with data scientists and engineers to implement Generative AI solutions and integrate models into production environments. ...

exploitation et architecture informatique Fonds de connaissances nécessaires: Programmation & langages Procedural programming Object-oriented programming Functional programming Type systems Static vs dynamic typing Memory safety Compilation vs interpretation VMs & runtimes Garbage collection Imperative vs declarative languages Data Structures & Algorithms Arrays Linked lists Stacks queues Hashmaps Sets Heaps Trees & graphs … levels Indexing Query planning Normalisation vs denormalisation Replication Sharding Consistency models Transactions at scale Operating Systems Processes & threads Scheduling Interrupts & syscalls Locks & race conditions Memory management Virtual memory IO systems Concurrency Computer Architecture CPUs Caches Pipelining Instruction sets Hardware vs software optimisation Memory hierarchy Networking ...

users globally. Unified FITP, built on state of the art technology stack processes around 200,000 transactions daily and provides real time position , risk management capabilities. It has connectivity to 100+ electronic trading venues and 20+ regulatory bodies globally.We are looking for a talented and passionate individual to join … continue to evolve our architecture roadmap beyond near term objectives* Impact the Applications Development area through monitoring delivery of end results, participate in budget management, and handling day-to-day staff management issues, including resource management and allocation of work within the team/project* Ensure essential ...

throughput market data feed handlers.* Design and implement low-latency messaging and IPC architectures using technologies such as Aeron and Solace, along with shared-memory/IPC mechanisms, to enable fast, reliable communication between distributed risk, execution, and position components.* Apply deep expertise in JVM performance tuning, memory management, garbage collection avoidance, and/or native (C++/Rust) performance engineering to eliminate latency outliers (\"jitter\") in the risk path.* Perform system-level performance tuning including NUMA-aware application design and memory allocation, CPU core isolation/pinning and affinity tuning, interrupt/IRQ tuning ...

science and machine learning capabilities that scale across use cases, including feature engineering, evaluation harnesses, prompt tooling patterns, agent frameworks, orchestration, and context and memory managementProvide technical leadership and mentorship through code reviews, design reviews, best practices, and upskilling across data science and engineering partnersCommunicate with technical … rigorous evaluation and measurement in real-world settingsDemonstrated experience deploying and operating machine learning models in production at scale, including monitoring, drift and performance management, reliability, incident management, and continuous improvementStrong Python software engineering skills, including modular object-oriented design, testing, performance tuning, and debuggingWorking knowledge of MLOps ...

design and implementation of agentic AI applications that improve operational workflows, controls, productivity, and engineering practices. You will build reusable AI engineering patterns, context management frameworks, evaluation pipelines, and production‐ready AI services. You will partner closely with software engineers, AI and data science specialists, and operations stakeholders … strategic platforms and operational processes. Job Responsibilities Lead the design, development, and implementation of agentic AI applications that support Markets Operations workflows, controls, exception management, and productivity use cases Define and drive AI engineering architecture patterns for scalable, secure, reusable, and production‐ready AI, machine learning, and generative ...

users globally. Unified FITP, built on state of the art technology stack processes around 200,000 transactions daily and provides real time position , risk management capabilities. It has connectivity to 100+ electronic trading venues and 20+ regulatory bodies globally. We are looking for a talented and passionate individual … continue to evolve our architecture roadmap beyond near term objectivesImpact the Applications Development area through monitoring delivery of end results, participate in budget management, and handling day-to-day staff management issues, including resource management and allocation of work within the team/projectEnsure essential procedures ...

incorporate end-user feedback Strong UI/UX instincts and an eye for visual design Understanding of client-side performance, including rendering optimizations, memory management, and state management Positive attitude, sense of humor and creativity Strong analytical, project leadership and communication skills Team leadership and management skills You should have a strong interest in web-based software development and additional experience in the financial services technology/asset management space would be a bonus. What we offer Competitive compensation (fixed base salary + performance incentives) 20 days of holiday per year + bank holidays ...

high-performance engineering to develop the next generation of electronic trading capabilities. Our work spans signal research, pricing, market making, execution, portfolio construction, risk management, and the production systems that support them. Job Summary As a Quantitative Trading & Research - Quantitative developer in the AI Market Lab, you will work … systematic trading. Develop reliable low-latency C++ services and APIs that integrate quantitative models with real-time market data, pricing, risk controls, and order-management systems. Build scalable data and research pipelines that support granular historical data, reproducible experiments, distributed computation, and rapid strategy iteration. Optimize critical paths ...

operational stability for mission‐critical platforms Advanced in one or more programming language(s), with deep hands‐on expertise in Java (17+), including concurrency, memory management, and object‐oriented design Demonstrated experience designing clean APIs and rollout strategies for distributed systems (including integration and backward compatibility considerations) Practical ...

clients, and assets. Hands-on Development Contribute hands-on as a primary engineer utilizing our modern tech stack: Core Java (multi-threading, concurrency, memory optimization), CouchbaseDB, Kafka, and Apache Storm. Solve complex real-time risk calculation requirements, handling heavy stream processing and highly concurrent data flows. Required Experience extensive … high-performing Individual Contributor (IC) delivering complex, high-throughput distributed systems in production environments. Deep hands-on expertise in Core Java, including multi-threading, memory management, garbage collection tuning, and concurrency utilities. Solid experience with real-time stream processing and distributed data architectures (e.g., Kafka, Apache Storm, CouchbaseDB ...

engineering excellence: code quality, maintainability, security, performance, accessibility, and reliability. Establish and improve mobile SDLC practices: planning, development, peer review, testing, release management, and operational support. Lead the mobile testing and quality strategy (unit/integration/UI automation) and drive measurable improvements in stability and release confidence. … experience operating at a senior technical lead level: making system-level design decisions and driving adoption across teams. Strong knowledge of mobile fundamentals: performance, memory management, concurrency, offline-first patterns, networking, app lifecycle, and secure storage. Strong engineering practices: writing clean, testable code; effective code reviews; pragmatic documentation ...

Understanding of the Android compilation process and how code is converted into an executable. Knowledge or experience working with FHIR standards. Understanding of effective memory management , including garbage collection and reference handling. #J-18808-Ljbffr ...

stay up to date with modern technologies, frameworks, and engineering practices. Essential Skills Strong Java fundamentals (Java 21 preferred) including core concepts (collections, concurrency, memory management). Solid experience with Spring Framework (Spring 4+) and Spring Boot 3.x. Experience building and consuming REST APIs. Good knowledge of React ...

operational stability for mission-critical platformsAdvanced in one or more programming language(s), with deep hands-on expertise in Java (17+), including concurrency, memory management, and object-oriented designDemonstrated experience designing clean APIs and rollout strategies for distributed systems (including integration and backward compatibility considerations)Practical experience with ...

scale systems.* Industry experience, operating at a senior engineer or technical‐lead‐equivalent level.* Solid understanding of object‐oriented design, data structures, algorithms, concurrency, memory management, and system integration.* Experience building and supporting distributed systems, including messaging, APIs, and inter‐service communication.* Familiarity with Linux environments, build tools ...

high bar for engineering excellence: code quality, maintainability, security, performance, accessibility, and reliability. Establish and improve mobile SDLCpractices: planning, development, peer review, testing, release management, and operational support. Lead the mobile testing and quality strategy(unit/integration/UI automation) and drive measurable improvements in stability and release … components Proven experience operating at a seniortechnical leadlevel: making system-level design decisions and driving adoption across teams. Strong knowledge of mobile fundamentals: performance, memory management, concurrency, offline-first patterns, networking, app lifecycle, and secure storage. Strong engineering practices: writing clean, testable code; effective code reviews; pragmatic documentation ...

within the organisation. What are we looking for? Hands-on experience architecting multi-step agentic AI workflows, including agent-to-agent orchestration, context and memory management, and integration of LLM-based reasoning with enterprise data sources and APIs Experience evaluating vendor and open-source agentic AI platforms against … software development/Implementation with a focus on architecture and design Working knowledge of Commercial domain platforms relevant to CPG(e.g CRM, Trade Promotion Management, Revenue Growth Management), API integration and ERP systems. Hands-on experience designing and building solutions on Azure and Google cloud platforms, data analytics ...

Implement multithreading and concurrency patterns adapted to performance-critical systems Participate in system design, architecture discussions and technical specifications Continuously optimise performance (latency, throughput, memory, GC behaviour) Engineering & Delivery Contribute to the full software lifecycle: design, development, testing and release Produce clean, maintainable and well-tested code Participate … experience as a Java Developer in performance-critical environments Proven background in low-latency or high-throughput systems Solid understanding of concurrency, threading and memory management Experience working in Front Office, Trading or Risk IT environments Comfortable working in Linux production environments Clear communication and structured problem‐solving ...

center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus … multicast, routing, switching, congestion control) and use of kernel bypass technologies (e.g., DPDK, Solarflare/OpenOnload, RDMA).Familiarity with Linux internals, to include scheduling, memory management, and performance tuning. Bonus Points:eFX development experience in a low latency, zero GC environmentKnowledge of institutional encodings (FIX, SBE)Fault tolerant ...