51 to 75 of 132 Memory Management Jobs in the UK

highly regulated or safety-critical sectors (e.g., Medical Devices/MedTech, Automotive, Aviation, Defense, Railway). Strong grasp of the Android SDK, application lifecycles, memory management, clean architecture, and dependency injection. Solid experience with unit and integration test automation and pipeline integration (Azure DevOps/GitHub). Professional … What we offer The opportunity to build software that supports medical diagnostics and contributes to better healthcare. Significant technical ownership without requiring a people-management career path. Collaboration with experienced engineers and specialists across software, systems, quality, regulatory and cybersecurity. The opportunity to shape reusable technologies used across multiple ...

skills and application of various strategies Use of RTOSs such as VxWorks or embedded Linux Deployment of software to distributed hardware platforms, multicore programming, memory management techniques, device driver development, code optimisation, interrupt-driven designs A good understanding of electronics, schematic design and use of test equipment Experience … developing solutions for ARM and Intel based multicore processing platforms Communication protocols (I2C, SPI, USB, Serial, Network, PCIe) Familiarity with configuration management tools, defect tracking and peer review Working alongside firmware and hardware engineers to develop working embedded solutions Knowledge of standards such as DO-178C and coding standards ...

customers. Apply your knowledge of AI trends to develop new practices. Review business requirements and help the team understand trade offs. Establish AI cost management, monitoring, and security standards. Required Qualifications Bachelor’s degree in Computer Science, Computer Engineering, or related technical field Extensively demonstrated programming experience … development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization Advanced understanding of enterprise RAG architectures, semantic search optimisation, and conversation memory management at massive scale Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models Experience with AI observability ...

Collaborate with SRE/DevOps teams to improve observability, CI/CD, and deployment pipelines. Key Requirements Strong expertise in Core Java, including concurrency, memory management, and GC tuning. Hands‐on experience integrating and developing with TransFICC’s Connectivity Platform. Experience with electronic market protocols: FIX (4.x/ ...

Expert-level proficiency in **TypeScript, React, HTML5, CSS, and JavaScript (ES6+)** Demonstrated experience profiling and optimising high throughput React applications (Web Workers, virtual rendering, memory management) Experience with desktop containers: **Chromium, Electron, or OpenFin** ; familiarity with **FDC3** for cross-application interoperability Experience with real-time messaging systems: **Kafka ...

support board bring‐up, hardware validation, and troubleshooting. Write efficient and maintainable code in C/C++ (and assembly as needed) for microcontrollers, memory‐constrained, and real‐time systems. Utilize oscilloscopes, logic analyzers, JTAG, and other debugging tools to analyze and resolve hardware/software integration issues. Develop … metal environments. Maintain comprehensive documentation of software architecture, interfaces, and procedures for future maintenance and scalability. Analyze and optimize system performance, power consumption, and memory utilization. Collaborate with cross‐functional teams to define product requirements, identify technical risks, and ensure timely delivery of high‐quality embedded solutions. Basic Requirements ...

optimized, secure, and reliable OS configurations possible. Responsibilities Tune the Linux kernel for ultra-low latency and maximum throughput Automate infrastructure provisioning and configuration management Diagnose complex system-level performance issues Manage hardware lifecycles and evaluate new server architectures Requirements Deep expertise in Linux internals (networking stack, memory management, scheduling) Experience with configuration management (Ansible, Puppet, or similar) Knowledge of networking protocols (TCP/IP, Multicast) #J-18808-Ljbffr ...

embedded UI development, algorithm implementation for complex features to make it more user intuitive and underlying architecture. You will be working closely with product management to understand new features or extending current features for international market needs, development using modern C++ libraries/frameworks, scripting language and integration … Develop core features of the Roku Channel app and Roku OS. Work closely with Product Development, UI/UX design, Platform Services, and Release Management teams to contribute to our application development.Investigate, diagnose and resolve issues. What experience would help someone be successful in this role at Roku? Experience ...

including its use for tooling, test interfaces and Windows components Experience developing multi-threaded and concurrent software applications Strong understanding of software design principles, memory management and performance optimisation Experience with version control systems such as Git and CI/CD pipelines Understanding of software requirements and technical … testing frameworks, automated test rigs or hardware-in-the-loop testing Experience using GitLab, SonarQube, JIRA and Confluence Experience with IBM DOORS for requirements management and test evidence Previous experience in Defence, Aerospace or another highly regulated engineering environment #J-18808-Ljbffr ...

similar technology is also important. A good understanding of how AI models execute in practice is essential, including graph processing, operator execution, memory management, and backend integration. This role involves analysing, investigating, diagnosing, and resolving complex functional or performance issues across frameworks, runtimes, compilers, drivers, and hardware abstraction … kernels Designing or implementing Ahead-of-Time or Just-in-Time compilation flows for AI workloads Transforming graphs or working with operator partitioning, scheduling, memory planning, or model optimisation Validating, benchmarking, profiling, or analysing AI model performance Developing compiler technologies, intermediate representations, or hardware abstraction layers Building automated tests ...

similar technology is also important. A good understanding of how AI models execute in practice is essential, including graph processing, operator execution, memory management, and backend integration. This role involves analysing, investigating, diagnosing, and resolving complex functional or performance issues across frameworks, runtimes, compilers, drivers, and hardware abstraction … kernels Designing or implementing Ahead-of-Time or Just-in-Time compilation flows for AI workloads Transforming graphs or working with operator partitioning, scheduling, memory planning, or model optimisation Validating, benchmarking, profiling, or analysing AI model performance Developing compiler technologies, intermediate representations, or hardware abstraction layers Building automated tests ...

similar technology is also important. A good understanding of how AI models execute in practice is essential, including graph processing, operator execution, memory management, and backend integration. This role involves analysing, investigating, diagnosing, and resolving complex functional or performance issues across frameworks, runtimes, compilers, drivers, and hardware abstraction … kernels Designing or implementing Ahead-of-Time or Just-in-Time compilation flows for AI workloads Transforming graphs or working with operator partitioning, scheduling, memory planning, or model optimisation Validating, benchmarking, profiling, or analysing AI model performance Developing compiler technologies, intermediate representations, or hardware abstraction layers Building automated tests ...

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 ...

programming or compute technologies such as Vulkan, OpenCL, TOSA, or compute kernels Machine learning runtimes, compilers, drivers, or backend integration Computational graphs, operators, memory management, or model optimisation Benchmarking, profiling, testing, or analysing software performance Automated testing or CI/CD workflows AI-assisted development tools used responsibly ...

programming or compute technologies such as Vulkan, OpenCL, TOSA, or compute kernels Machine learning runtimes, compilers, drivers, or backend integration Computational graphs, operators, memory management, or model optimisation Ahead-of-Time or Just-in-Time compilation Benchmarking, profiling, testing, or analysing software performance Automated testing or CI/ ...

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++ ...

technical leadership experience, including mentorship, cross-functional collaboration, and influencing engineering culture. Deep understanding of UI frameworks, offline data strategies, threading, performance profiling, and memory management in Android. Experience with test automation, CI/CD integration, and mobile observability practices. Excellent communication skills, with the ability to simplify ...

including various approaches, challenges, and trade-offs Experience building high-load, distributed, and hardware-adjacent services Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning) Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling) Nice to have Experience developing core components ...

Sectigo is the most innovative provider of certificate lifecycle management (CLM), delivering solutions that help the world’s largest brands simplify how digital trust is managed and scaled. Sectigo’s automated, cloud-native CLM platform issues and manages digital certificates across enterprise environments, enabling organizations to reduce complexity, accelerate … node after timelines diverge. Performance engineering.Analyze execution plans and wait or lock behavior, tune SQL and indexes, andoptimizePostgreSQL and operating-system settings, includingautovacuum, memory, storage, and checkpoint or WAL behavior. Connectivity and security.OperatePgBouncerand manage roles, privileges, authentication,pg_hba.conf, TLS, secrets, and least-privilege access in line with organizational ...

Sectigo is the most innovative provider of certificate lifecycle management (CLM), delivering solutions that help the world’s largest brands simplify how digital trust is managed and scaled. Sectigo’s automated, cloud-native CLM platform issues and manages digital certificates across enterprise environments, enabling organizations to reduce complexity, accelerate … node after timelines diverge. Performance engineering.Analyze execution plans and wait or lock behavior, tune SQL and indexes, andoptimizePostgreSQL and operating-system settings, includingautovacuum, memory, storage, and checkpoint or WAL behavior. Connectivity and security.OperatePgBouncerand manage roles, privileges, authentication,pg_hba.conf, TLS, secrets, and least-privilege access in line with organizational ...

using computer vision pipelines on aion's infrastructure Implement sophisticated multi-agent orchestration with(or similar) frameworks like LangChain or LlamaIndex—enabling tool use, memory management, and autonomous task completion Rapidly prototype POCs in 2-4 weeks, coding alongside client teams to validate concepts and iterate based … with Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code Cloud platforms experience with AWS, Azure, or GCP for ML workloads and infrastructure management Exceptional communication ability to explain complex AI concepts clearly to both technical and business stakeholders Customer-facing experience in Solutions Architecture, Technical Account Management ...

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 Performance Take 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 Support Solve ...

Engineer programme. Key Responsibilities Design and build production‐grade agentic solutions 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 Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring Embed directly with client ...

Engineer programme. 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 Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring Embed directly with client ...

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 ...