26 to 40 of 40 Memory Management Jobs in the UK

environments (e.g. FreeRTOS, SafeRTOS, or bare-metal configurations) . Peripherals & Connectivity: Develop low-level drivers and handle protocol integration for sensor data acquisition, battery management, and wireless communication layers (BLE, GNSS/GPS, I2C, SPI, CAN) . Automation & Scripting: Utilise Python to build automated test frameworks and custom validation … record of delivering firmware for real-world physical devices that have shipped to market . RTOS & Bare-Metal Depth: Strong understanding of scheduling, interrupts, memory management, and debugging directly on hardware . Sensor & Protocol Mastery: Comfortable interfacing with microcontrollers to drive real-time data handling, motor/power ...

agentic architectures that balance the needs of diverse shopping use cases, making principled choices across paradigms such as single‐agent and multi‐agent systems, memory management strategies, and tool orchestration to optimise for quality, latency, and reliability at scale. Leverage petabytes of data and identify opportunities to leverage … unstructured contextual signals. Conduct deep‐dive analyses to identify opportunities for improving conversational relevance, grounding, customer satisfaction, and downstream business impact. Collaborate with Product Management and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Communicate results and insights to both technical ...

understanding of Object-Orientated Programming and design patterns. Developing for Windows. Knowledge of build systems and Microsoft Visual Studio IDE. Proficiency with STL and memory management. Desirable skills include: knowledge of networking protocols or low level system programming; other languages such as Python or C#; exposure to hardware interfacing. ...

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 ...

scale. Other responsibilities will include but are not limited to:* Contributing to projects ranging from rapid prototyping of new ideas to optimising runtime and memory usage of existing models,* Advancing our unique methodology for defending against unknown cyber-attacks,* Embracing innovation and creativity in your approach, alongside traditional project … model acceleration frameworks (e.g. PyTorch, ONNX, ONNX Runtime)* Experienced with Python data and matrix manipulation libraries (e.g. numpy and pandas),* Knowledgeable about Python memory management and optimising GPU usage (beneficial but not essential),* Experienced with Rust, specifically the ort crate (beneficial but not essential)* Interested in cyber security ...

development, and production deployment of Agentic AI systems from ideation through enterprise-scale rollout. Build multi-agent workflows capable of planning, reasoning, tool usage, memory management, and autonomous execution. Drive implementation of LLM orchestration frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or equivalent platforms. Establish best practices … Build enterprise-grade AI platforms supporting model serving, vector databases, RAG pipelines, agent orchestration, and AI observability. Define standards for AI governance, model lifecycle management, prompt engineering, evaluation frameworks, and responsible AI practices. Establish scalable infrastructure supporting large-scale AI workloads and autonomous workflows. Lead adoption of AI engineering ...

RISC-V) • Compiler fundamentals (LLVM, GCC, PGO, backend design) • Speculative execution and branch prediction techniques • Microarchitectural modelling and simulation frameworks • OS internals (scheduler, memory management basics) • Academic research integration into CPU design Key words: CPU Architecture/Microarchitecture/Out-of-Order Execution/Branch Prediction/gem5 ...

environments Low-Level Expertise: A deep understanding of Linux Kernel internals, x86/ARM architecture, and OS design fundamentals. You should be comfortable discussing memory management, schedulers, and network stacks Automation Mindset: Experience building or managing CI/CD pipelines for foundational software. You believe that "toil ...

Title: Principal Kernel Engineer Our client are an international semiconductor and consumer electronics company. The Role Optimize memory management internals: buddy allocator, slab/SLUB, page reclaim and LRU/MGLRU, memory compaction and defragmentation, transparent huge pages, page-fault and TLB-shootdown paths, copy-on-write ...

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 ...

Developer to join one of the leading institutional digital asset firms in the market. With a global footprint and a platform spanning trading, asset management, custody and tokenisation, they are scaling out their London engineering team to build the next generation of their algorithmic trading infrastructure. Excellent salaries … execution quality, liquidity, latency and cost. Drive post-trade analysis and execution quality benchmarking across venues. Work deep in the stack — from order management through to gateway and market data layers. Collaborate closely with front office traders and product to refine routing logic. Monitor and optimise system performance under ...

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 ...

including Bugs and Coverage. What are we looking for? Deep knowledge of Micro-Processor Verification functions and Architectures, in domains such as: Cache Coherence, Memory ordering and Consistency, Prefetching, Branch Prediction, Renaming, Speculative execution, and Address Translation/Memory Management. Knowledge of Random Instruction Sequencing (RIS) and testing ...

including Bugs and Coverage. What are we looking for? Deep knowledge of Micro-Processor Verification functions and Architectures, in domains such as: Cache Coherence, Memory ordering and Consistency, Prefetching, Branch Prediction, Renaming, Speculative execution, and Address Translation/Memory Management. Knowledge of Random Instruction Sequencing (RIS) and testing ...

variety of metrics, including Bugs and Coverage. Requirements: Deep knowledge of Micro-Processor Verification functions and Architectures, in domains such as: Cache Coherence, Memory ordering and Consistency, Prefetching, Branch Prediction, Renaming, Speculative execution, and Address Translation/Memory Management. Knowledge of Random Instruction Sequencing (RIS) and testing ...