76 to 100 of 121 Memory Management Jobs in England

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 … role 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 ...

building high‐performing applications and SDK components for a popular consumer electronics platform. Responsibilities Work closely with product development, platform services, and release management teams to contribute extensively to embedded UI development and underlying architecture. Integrate third‐party C++ libraries. Investigate, diagnose and resolve issues within the Roku Platform. … Assisted programming. Understanding of API design considerations and trade‐offs. Familiarity with tools and libraries such as Boost, PlayReady, ALSA, DIAL. Experience with memory management and multithreaded development. Experience with OpenGL and DirectFB. Media/Video knowledge – codecs, media streaming, etc. is a plus. Embedded and consumer electronics ...

deliverablesWhat we're looking for:Strong proficiency in C# and the .NET ecosystem (e.g., WinForms, WPF, or similar)Solid experience with C and C++ (memory management, pointers, native integration)Experience developing Windows desktop applicationsFamiliarity with interop techniques (P/Invoke, C++/CLI, or similar)Understanding of software … systems (e.g., CMake, MSBuild)Experience with performance profiling and optimizationUnderstanding of security and compliance requirements in SDK distributionProcess Optimization: Continuously refine and improve program management processes to enhance efficiency and team productivity.Preferred Qualifications:Experience in Game IndustryFamiliarity with game development, cloud platforms, DevOps, and CI/CD pipelines ...

deep understanding of systems‐level programming, with proficiency in Java and/or Rust, C, or C++. Applicants should have experience with manual memory management, concurrency, and multithreading. Familiarity with... Compensation: up to £100K Role type: Full time Visa sponsorship: Not provided #J-18808-Ljbffr ...

Kingdom. The ideal applicant will possess a deep understanding of systems-level programming with proficiency in Java, Rust, C, or C++. Experience with manual memory management, concurrency, and multithreading is essential. This full-time role offers a competitive compensation of up to £100K. Please note that visa sponsorship ...

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 ...

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 ...

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 principlesStrong programming skills, supported by several years of professional software engineering experienceExperience with Java, C, C++, or similar ...

/ML systems; strong Python proficiency and backend development expertiseHands-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 ...

/ML systems; strong Python proficiency and backend development expertiseHands-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 ...

demonstrate professional experience of developing using C++ to produce production-grade released code. Including use of modern (C++14 or later) C++ features, such as memory management, multithreading, STL libraries, etc.Able to demonstrate an understanding of design and architecture best practices such as object-orientation, SOLID principals and clean ...

Enterprise Agent Platform, Agent Development Kit (ADK) and Agent2Agent (A2A) protocol. Design and implement Retrieval Augmented Generation (RAG) architectures, Vector Search solutions and agent memory management. Deploy and manage AI agents using Google's managed agent runtime and foundation models including Gemini and Claude. Build intuitive front-end applications ...

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 ...

individual engagements. 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 ImplementLLMOpsin production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring Embed directly with client engineering teams ...

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 ...

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 ...

engine or gameplay systems Performance-critical code running under heavy load Simulation, networking, rendering integration and tools Problem-solving at the intersection of mathematics, memory layout and parallel execution Quality benchmark: You should have shipped multiple titles at recognised studios and be comfortable leading the design of complex C# … Program - games where scale, persistence and simulation consistency matter. Responsibilities Design, implement and own major gameplay, simulation and engine systems Profile and optimise CPU, memory and network performance across the codebase Lead architecture decisions for simulation, networking and tools Mentor and review code from junior and mid-level programmers ...

deployment infrastructureExperience across the full lifecycle from POC to production — including the hard part: evaluation design, prompt engineering at scale, guardrails, cost optimisation, latency management, and monitoring in live environmentsThe ability to look at a GenAI architecture and immediately identify what will break, what will be too slow, what … will cost too much, and what the team has not thought about yetGenuine familiarity with agentic AI patterns — multi-agent orchestration, tool use, memory management, human-in-the-loop design — and where they succeed and fail in real delivery contextsRequired — Technical LeadershipExperience leading engineering and cross-functional teams ...

team. Responsibilities Design, implement, and maintain engine-level systems within Unreal Engine Extend and customise Unreal systems where project requirements demand it Improve performance, memory usage, loading times, and scalability Develop tools, workflows, and automation that improve team efficiency Investigate and resolve low-level technical issues across platforms Work … production Excellent C++ programming skills Deep understanding of Unreal's engine architecture and core systems Experience working with performance optimisation, memory management, and profiling Experience extending engine functionality and developing technical tools Familiarity with build systems, asset pipelines, and automation workflows Experience supporting console or PC development Comfortable ...

release, and post‐release support. Drive engineering best practices through code reviews, technical mentoring, design discussions, and continuous improvement initiatives. Optimize application performance, responsiveness, memory utilization, and scalability. Collaborate closely with product managers, UX designers, software engineers, QA engineers, and domain experts to deliver customer‐focused solutions. Contribute … modern C# language features. Practical experience using AI‐assisted development tools such as GitHub Copilot, Claude, or similar technologies. Strong understanding of software performance, memory management, debugging, and troubleshooting techniques. Experience designing and delivering complex software features from concept to production. Ability to evaluate technical trade‐offs ...

Forward Deployed Engineer programme.Key ResponsibilitiesDesign and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observabilityBuild and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targetsIntegrate … CrewAI, AutoGen, or equivalent — at production depth, not tutorial levelDirect experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffsRAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineeringLLMOps fundamentals: eval harness design, prompt versioning, and production observabilityCloud-native ...

Required Extensive production experience building latency-sensitive systems using modern C++. Experience in market making, electronic trading or exchange connectivity. Strong understanding of concurrency, memory management and performance optimisation. Working knowledge of SQL and relational databases (Postgres, SQL Server, or similar). Excellent written and verbal communication skills. ...

control IDEs and debugging tools Unit testing Continuous Integration Test-Driven Development Understanding of secure software engineering principles. Knowledge of computing fundamentals such as memory management and operating systems. Ability to work across multiple operating systems. Excellent communication skills with both technical and non-technical stakeholders. Experience leading ...

productionExpert-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 interoperabilityExperience with real-time messaging systems: **Kafka, Solace ...

with researchers, senior stakeholders and engineers to understand compute challenges and design optimised solutionsProfiling, benchmarking and tuning large-scale workloads across CPU, GPU and memory-intensive jobsDeveloping reference implementations, libraries and tools to improve job efficiency and reliabilityCollaborating with systems, architecture and platform teams to evolve our compute stackInfluencing … scale workloadsProficiency in one or more programming languages, with strong grounding in algorithms and performance optimisationDeep understanding of Linux internals, for example across scheduling, memory management, NUMA, networking and filesystemsExperience with HPC schedulers and Kubernetes workload orchestrationHands-on experience with heterogeneous compute, such as GPUs, multi-core ...