26 to 39 of 39 Memory Management Jobs in London

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

autonomously and making technical decisions, while also collaborating closely with a highly technical team Experience in any of the following would be beneficial: Python memory management and performance optimisation GPU optimisation and acceleration Responsibilities for Machine Learning Engineer: Deploy and integrate new machine learning models into advanced commercial … specialists and Security Researchers Take projects from rapid prototyping and experimentation through to production implementation Optimise machine learning models for speed, scale, runtime and memory usage Help improve the performance and scalability of existing AI systems Develop innovative new features using machine learning and AI technologies Explore new technologies ...

execution across containerized and virtualized environments Ensure strong isolation, security, and reproducibility of execution across user sessions and workloads Optimise for cold-start latency, memory footprint, and resource utilisation at scale Drive down error rates through systematic debugging, monitoring, and proactive fixes Partner closely with internal teams using … experience building high-performance systems software, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs Deep understanding of Linux internals: process isolation, memory management, cgroups, namespaces, etc. Experience with containerisation and virtualisation technologies (e.g., Docker, Firecracker, gVisor, QEMU, Kata Containers) Proficiency in a systems programming language ...

from scoping through delivery. Collaborating with product, design and engineers across Proton, you will help define high-quality mobile architectures, focus on performance and memory management, and mentor teammates while contributing to scalable, privacy-centered consumer products. #J-18808-Ljbffr ...

training framework responsible for large-scale LLM training. Design distributed training abstractions (data/tensor/pipeline parallelism, FSDP/ZeRO strategies, memory management, checkpointing). Improve training throughput and stability on multi-node clusters (e.g., GB200/300, AMD, H200/100). Develop and maintain tooling ...

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 ...