17 of 17 Memory Management Jobs in the North West

to develop top-of-the-line solutions for the world’s leading FinTech companies. Requirements: At least 5 years of professional Rust software development experience Strong understanding of Rust, memory management, STL containers, and algorithms Good knowledge of OOAD, architecture and design patterns, API design principles Hands-on experience with low-latency, multithreading, including race conditions, deadlocks, etc. … least 5 years of professional C++ or Java software development experience Aptitude and desire to independently learn new technologies Experience with any trading, crypto solutions development Experience with task management tools like Jira, Asana, ServiceNow etc. Experience with code versioning tools such as Git (pull requests, branching strategies, tags, etc.) Familiarity with CI/CD tools (Jenkins, GitLab, GitHub … Harness) Familiarity with the build process management tools such as CMake/Make Experience with containers (Docker, Kubernetes) Responsibilities: Write clear, understandable and highly optimized Rust code according to best practices Develop new features including the design of interfaces and implementation to support reusability, testability, modularity in accordance with the agreed plans and quality standards Enhance existing features and More ❯

world’s leading FinTech companies, helping to transform the finance industry with superb engineering. Requirements: At least 5 years of professional Rust software development experience Strong understanding of Rust, memory management, STL containers, and algorithms Good knowledge of OOAD, architecture and design patterns, API design principles Hands-on experience with low-latency, multithreading, including race conditions, deadlocks, etc. … plus: At least 5 years of professional C++ or Java software development experience Willingness to learn new technologies independently Experience with trading or crypto solutions development Experience with task management tools like Jira, Asana, ServiceNow Experience with version control tools such as Git Familiarity with CI/CD tools (Jenkins, GitLab, etc.) Experience with build tools like CMake/ More ❯

Kubernetes. Excellent interpersonal and communication abilities, enabling effective teamwork and collaboration. Strong knowledge of both Linux and Windows operating systems. Proven experience working with multi-threaded applications and complex memory management scenarios. Confident navigating across multiple technology domains and full software stacks. Passionate about learning and committed to continuous professional growth. Exposure to high-level languages; Python and More ❯

to new heights! The position As a Systems Programmer at Central Tech, you will help develop, maintain and adapt the lower-level systems of the game such as spawning, memory management, job scheduling, threading framework, frame layout, streaming, and networking interfaces. You will be involved in profiling and optimizing our game as well as assisting with debugging and … of a wide range of tools and pipelines used in modern game development. Strong multi-threaded programming skills. Knowledge of a wide range of game-level systems, including scene management, physics, animation, AI, rendering, etc. Experienced with automated testing, testable code, and robust test frameworks to ensure stability and performance. Have a great attention to detail. Note: Research shows More ❯

fully remote AI Engineer. Fresh from securing an impressive seed funding round and backed by one of the world’s leading VCs, they are building an AI-powered financial management platform for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI … AI architecture, ensuring it remains reliable and robust within the financial domain. The role: Evolve and extend intelligent agent systems for advanced decision-making tasks Design and implement dynamic memory architectures to support contextual reasoning Build goal-setting and planning mechanisms that increase agent autonomy and adaptability Optimize LLM prompt strategies and orchestration workflows for high-complexity domains Fine … decisions What you’ll need: 2+ years of experience developing and deploying AI-driven agent systems in production environments 4+ years of professional software engineering experience Deep understanding of memory management and context handling within AI systems Strong proficiency in Python, with additional experience in TypeScript Hands-on experience building RAG pipelines Advanced skills in prompt design and More ❯

fully remote AI Engineer. Fresh from securing an impressive seed funding round and backed by one of the world’s leading VCs, they are building an AI-powered financial management platform for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI … AI architecture, ensuring it remains reliable and robust within the financial domain. The role: Evolve and extend intelligent agent systems for advanced decision-making tasks Design and implement dynamic memory architectures to support contextual reasoning Build goal-setting and planning mechanisms that increase agent autonomy and adaptability Optimize LLM prompt strategies and orchestration workflows for high-complexity domains Fine … decisions What you’ll need: 2+ years of experience developing and deploying AI-driven agent systems in production environments 4+ years of professional software engineering experience Deep understanding of memory management and context handling within AI systems Strong proficiency in Python, with additional experience in TypeScript Hands-on experience building RAG pipelines Advanced skills in prompt design and More ❯

fully remote AI Engineer. Fresh from securing an impressive seed funding round and backed by one of the world’s leading VCs, they are building an AI-powered financial management platform for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI … AI architecture, ensuring it remains reliable and robust within the financial domain. The role: Evolve and extend intelligent agent systems for advanced decision-making tasks Design and implement dynamic memory architectures to support contextual reasoning Build goal-setting and planning mechanisms that increase agent autonomy and adaptability Optimize LLM prompt strategies and orchestration workflows for high-complexity domains Fine … decisions What you’ll need: 2+ years of experience developing and deploying AI-driven agent systems in production environments 4+ years of professional software engineering experience Deep understanding of memory management and context handling within AI systems Strong proficiency in Python, with additional experience in TypeScript Hands-on experience building RAG pipelines Advanced skills in prompt design and More ❯

fully remote AI Engineer. Fresh from securing an impressive seed funding round and backed by one of the world’s leading VCs, they are building an AI-powered financial management platform for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI … AI architecture, ensuring it remains reliable and robust within the financial domain. The role: Evolve and extend intelligent agent systems for advanced decision-making tasks Design and implement dynamic memory architectures to support contextual reasoning Build goal-setting and planning mechanisms that increase agent autonomy and adaptability Optimize LLM prompt strategies and orchestration workflows for high-complexity domains Fine … decisions What you’ll need: 2+ years of experience developing and deploying AI-driven agent systems in production environments 4+ years of professional software engineering experience Deep understanding of memory management and context handling within AI systems Strong proficiency in Python, with additional experience in TypeScript Hands-on experience building RAG pipelines Advanced skills in prompt design and More ❯

fully remote AI Engineer. Fresh from securing an impressive seed funding round and backed by one of the world’s leading VCs, they are building an AI-powered financial management platform for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI … AI architecture, ensuring it remains reliable and robust within the financial domain. The role: Evolve and extend intelligent agent systems for advanced decision-making tasks Design and implement dynamic memory architectures to support contextual reasoning Build goal-setting and planning mechanisms that increase agent autonomy and adaptability Optimize LLM prompt strategies and orchestration workflows for high-complexity domains Fine … decisions What you’ll need: 2+ years of experience developing and deploying AI-driven agent systems in production environments 4+ years of professional software engineering experience Deep understanding of memory management and context handling within AI systems Strong proficiency in Python, with additional experience in TypeScript Hands-on experience building RAG pipelines Advanced skills in prompt design and More ❯

systems. Hands-on experience with advanced inference optimisation techniques, such as KVCache, MoE, adaptive batching, or gradient checkpointing. Strong understanding of low-level operating systems concepts, including multi-threading, memory management, and performance tuning. Knowledge of efficient training and inference evaluation strategies, with demonstrated success in improving model efficiency. In all we do, our core values guide us. More ❯

systems. Hands-on experience with advanced inference optimisation techniques, such as KVCache, MoE, adaptive batching, or gradient checkpointing. Strong understanding of low-level operating systems concepts, including multi-threading, memory management, and performance tuning. Knowledge of efficient training and inference evaluation strategies, with demonstrated success in improving model efficiency. In all we do, our core values guide us. More ❯

Engineering, or a related field. 6+ years of professional experience in native iOS development. Proficient in Swift, including advanced features such as generics and concurrency. Solid experience with Swift memory management and iOS design paradigms (HIG). Familiarity with modern design patterns and system design for large-scale mobile apps. Experience with testing tools, production monitoring, and CI …/CD pipelines. Strong in networking protocols, including GraphQL, streaming, and pub-sub architectures. Skilled with dependency management tools such as SPM, CocoaPods, or Carthage. Experience designing and maintaining shared mobile codebases. Please apply online with your CV. Apply OR Share: iOS Engineer #J-18808-Ljbffr More ❯

years professional experience in native mobile development Experience implementing modern platform design patterns Understanding of testing iOS applications using platform tools Experience with production monitoring Basic proficiency with swift memory management Understanding of advanced swift features such as generics/concurrency mgmt/Experience with dependency management tools in iOS - SPM/Cocoapods/Carthage etc Basic More ❯

years professional experience in native mobile development. Experience implementing modern platform design patterns. Understanding of testing iOS applications using platform tools. Experience with production monitoring. Basic proficiency with swift memory management. Understanding of advanced swift features such as generics, concurrency management. Experience with dependency management tools in iOS - SPM, Cocoapods, Carthage, etc. Basic understanding of system design for More ❯

Rapidly build and iterate on LLM- and agent-based prototypes for various use cases, including chatbots, copilots, and A2A task agents. Implement agentic workflows, multi-step reasoning pipelines, and memory management using frameworks such as LangChain, CrewAI, and Autogen. Engineer and tune prompts to enhance the performance and reliability of generative tasks. Design RAG systems using vector databases … grounded LLM responses. Utilize Guardrails to implement applications that adhere to responsible AI guidelines. Optimize model performance for latency, throughput, and cost-efficiency. Implement short-term and long-term memory modules to support persistent agent behaviours. Use cloud platforms such as Amazon Bedrock, Google Vertex AI, and Azure AI Studio for model orchestration and deployment. Build and integrate UI More ❯

Rapidly build and iterate on LLM- and agent-based prototypes for various use cases, including chatbots, copilots, and A2A task agents. Implement agentic workflows, multi-step reasoning pipelines, and memory management using frameworks such as LangChain, CrewAI, and Autogen. Engineer and tune prompts to enhance the performance and reliability of generative tasks. Design RAG systems using vector databases … grounded LLM responses. Utilize Guardrails to implement applications that adhere to responsible AI guidelines. Optimize model performance for latency, throughput, and cost-efficiency. Implement short-term and long-term memory modules to support persistent agent behaviours. Use cloud platforms such as Amazon Bedrock, Google Vertex AI, and Azure AI Studio for model orchestration and deployment. Build and integrate UI More ❯

innovation-driven role focused on rapidly prototyping advanced AI systems using LLMs, autonomous agents, and semantic search. The engineer will work across the full stack-from prompt engineering and memory management to UI and cloud deployment-using tools like LangChain, CrewAI, and vector databases. Core Responsibilities Build and iterate on LLM/agent-based prototypes (e.g., copilots, chatbots … A2A agents). Implement multi-step reasoning, memory modules, and RAG pipelines. Use frameworks like LangChain, LangGraph, CrewAI, and tools like Pinecone, FAISS. Optimize performance and ensure responsible AI practices. Deploy via cloud platforms (AWS Bedrock, Azure AI, Google Vertex). Build UIs (Streamlit, Gradio, React) and integrate APIs and databases. Preferred Skills Experience with multi-agent systems and More ❯