11 of 11 Remote/Hybrid Memory Management Jobs in the UK

Fully remote Travel: Optional conference attendance What we’re looking for Required Vulkan - solid understanding of the core spec; command buffers, render passes, synchronisation, memory management and pipelines. Familiarity with Vulkan validation layers and debugging workflow Basic understanding of GPU hardware concepts - queues, tilers vs IMR, memory hierarchies Linux kernel basics - comfortable reading and navigating kernel code DRM fundamentals - GEM/buffer management, dma-buf/prime buffer sharing, fence and sync objects, GPU job submission paths Mesa architecture awareness - Gallium, driver structure Basic understanding of how userspace drivers interact with kernel C and C++ ...

Fully remote Travel: Optional conference attendanc What we’re looking for Required Vulkan - solid understanding of the core spec; command buffers, render passes, synchronisation, memory management and pipelines. Familiarity with Vulkan validation layers and debugging workflow Basic understanding of GPU hardware concepts - queues, tilers vs IMR, memory hierarchies Linux kernel basics - comfortable reading and navigating kernel code DRM fundamentals - GEM/buffer management, dma-buf/prime buffer sharing, fence and sync objects, GPU job submission paths Mesa architecture awareness - Gallium, driver structure Basic understanding of how userspace drivers interact with kernel C and C++ ...

essential alongside C++ and/or Python writing numerically intensive code (not just scripting). Numerical Computing: Solid understanding of algorithm design, performance optimsation, memory management, and distributed systems. Domain Depth: Practical experience with cashflows, resets, curve frameworks (OIS, multi-curve), sensitivities, scenario risk, and regulatory measures. What … This Role Is NOT To save your time and ours, please note that this role is: Not a people-management or team-lead position. Not a pure research or academic quant role. Not an architecture-only or "ivory-tower" position. Not suitable for candidates without direct, hands-on production ...

optimise performance-critical applications Work closely with hardware and electronics engineers to integrate software with embedded devices Investigate and resolve complex concurrency and memory issues Participate in architecture discussions, code reviews and technical planning Write clean, maintainable and well-tested code Essential Skills & Experience Strong commercial experience developing software … experience with: Mutexes Locks Condition Variables Deadlock prevention Race condition analysis Thread-safe programming Strong understanding of Linux internals, including: Processes and threads Scheduling Memory management Inter-process communication (IPC) Signals File systems Experience debugging Linux applications using tools such as GDB Comfortable working within a Linux command ...

machines for test execution. Strong experience with integration, system test, and debugging complex interactions between software and hardware. Strong understanding of software design principles, memory management, and performance optimisation. Experience with version control systems (e.g., Git) and CI/CD pipelines. Desirable Skills: Experience with SFPDP (Serial Front ...

systems; strong Python proficiency and backend development expertise Hands-on experience building GenAI apps with LangChain and LangGraph, including agent design, state/memory management, and graph-based orchestration. Proficiency in ML/NLP and generative models; experience with embeddings, vector stores, RAG, and LLM integration/fine ...

systems; strong Python proficiency and backend development expertise Hands-on experience building GenAI apps with LangChain and LangGraph, including agent design, state/memory management, and graph-based orchestration. Proficiency in ML/NLP and generative models; experience with embeddings, vector stores, RAG, and LLM integration/fine ...

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 ...

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 ...