26 to 36 of 36 Memory Management Jobs in the UK

Income. Experience developing real-time, low-latency and high-throughput systems. Advanced knowledge of multithreading and concurrency. Solid understanding of data structures, algorithms, and memory management. Experience in pre-trade application development. Familiarity with market data, FIX protocol, KDB+, and time-series data. Strong front-office communication skills, with ...

years in professional software development, with 2+ years in Rust Experience with distributed systems, real-time communications, or network services Solid grasp of concurrency, memory management, and performance tuning in Rust Excellent troubleshooting and debugging skills Nice to have Experience with Docker, Kubernetes, CI/CD , and cloud ...

pipelines supporting ML workloads* Manage large volumes of unstructured data using cloud object storage (GCS/S3)* Support PyTorch-based data loading and dataset management in production environments* Work closely with ML practitioners to enable training and inference pipelines* Ensure efficient memory usage and performance when handling large … Experience working in cloud environments with large-scale file-based data Desired Experience * BigQuery (GCP)* SQL databases (Microsoft SQL Server preferred; PostgreSQL also acceptable)* Memory management and performance optimisation* Exposure to ML workflows (without being a dedicated ML Engineer) Nice to Have * Broader GCP experience (Cloud Run, Cloud ...

enterprise environments. Deep hands-on expertise with LLMs, RAG architectures, vector databases, and orchestration frameworks (e.g. LangChain). Strong understanding of prompt design, context management, and GenAI-specific risks such as hallucination and data exposure. Experience integrating GenAI solutions with enterprise systems and cloud platforms (AWS, Azure … production environments, including user feedback loops, latency tracking, and quality scoring. Exposure to advanced GenAI orchestration patterns and frameworks such as tool use, memory management, agentic workflows, or Model Context Protocol. ...

designs for RAG patterns, Agentic workflows, and Graph-based retrieval systems. Orchestration & Pipelines: Define the execution logic for AI pipelines, including prompt chaining, state management in agentic systems, and integration with middleware/APIs. Data & AI Ecosystem: Ensure seamless integration between Gen AI components and the existing enterprise stack … Core Technical Depth (Non-Negotiable) Proven Implementation: You must be able to walk through the "how" of your previous projects—explaining the specific orchestration, memory management, and data flow used. Advanced Patterns: Deep experience in RAG , Agent-to-Agent communication protocols , and In-memory Graph RAG . ...

kernel and framework including ArkUI and ArkTS/JIT/AOT. Design, develop, and optimize core kernel subsystems for our custom OS including scheduler, memory management, and I/O subsystems. Design hardware-software co-optimization techniques to improve kernel performance and efficiency for our custom O click ...

trading systems with modern C++ (C++17/20+). Boost system efficiency by lowering latency, enhancing throughput, implementing lock-free programming techniques, and optimizing memory management. Develop and manage market-making algorithms, order routing, reference data, and risk management systems. Build and manage connections to crypto exchanges … applications, CPU internals, and low-level performance tuning Network development using TCP/UDP, with bonus points for experience in kernel-bypass frameworks Efficient memory usage, including creating or working with custom memory allocators Solid grasp of how markets function at a technical level, including order book behavior ...

optimisation. Key Responsibilities Architect and implement high-performance C++ systems with extreme latency sensitivity. Optimise every layer of the stack - from CPU cache and memory allocation to kernel bypass and network I/O. Collaborate with traders, quants, and infrastructure engineers to deliver robust, scalable, and lightning-fast trading … engineering. Experience with kernel bypass technologies (e.g., DPDK, Solarflare/OpenOnload) and high-performance networking. Familiarity with Linux internals, NUMA, CPU affinity, and custom memory management. Proven track record of building latency-critical systems in trading, gaming, or telecom environments. Bonus: Experience with FPGA acceleration, RDMA, or custom ...

high-performance environment where technology is viewed as a strategic differentiator. Key Responsibilities Design, build, and maintain trade flow and operations systems supporting order management, execution, and compliance across multiple asset classes. Integrate and extend vendor OMS/EMS platforms, developing custom augmentations and bespoke tools for trading, treasury … define best practices and implement components of a unified, scalable trade platform. Ideal Candidate Profile 5–10 years of experience developing and supporting Order Management (OMS) and Execution Management Systems (EMS). Strong proficiency in C# or Python, with advanced SQL and database design expertise. Hands-on experience ...

Cloud (nice to have) 4. Performance Optimization & Troubleshooting Ability to profile and debug PolicyCenter performance issues. Understanding of caching strategies, efficient querying, and memory management. 5. Guidewire Best Practices Knowledge of Guidewire coding standards & best practices for customization and maintainability. Knowledge of SonarQube, Jacoca 6. Business Knowledge & Communication Understanding … other squad team to clarify requirements and resolve dependencies 7. Testing Understanding of testing automation like GUnits and other as well 8. Release management Understanding of Code build-deploy, environments (time travel, NFT), support release deployment and knows Sequence of events involved from Guidewire perspective 9. Thought leadership Participate ...

100s–1000s of users. What You’ll Do Design agentic systems – Own the agent loop (plan → act → reflect), orchestration (DAG/state machine), and memory management. Build robust tooling – Create schemas, retries, rate limits, and SDKs for safe extensibility. Engineer memory & knowledge services – Implement episodic/semantic memory … strategies. What We’re Looking For Required: Proven track record building and deploying LLM/agentic systems into production. Strong software engineering foundations: orchestration, memory, deployment, monitoring. Familiarity with agentic architectures (e.g. LangGraph, ReAct, CoT loops) and/or ability to build without frameworks. Confident in client-facing settings ...