7 of 7 Memory Management Jobs in East London

least 3 years of modern C++ experience in a commercial environment. Experience with C++17 and newer is a MUST. Solid understanding of OOP concepts and modern C++ features, including memory management facilities such as smart pointers, move semantics, etc. Experience with multi-threaded applications and TCP networking. The ability to produce good quality code in a timely manner. More ❯

have the following: • Advanced proficiency in Java • Strong experience in low-latency, high-throughput systems, particularly within FX trading platforms (e.g. LSE, 360T) • Deep understanding of efficient garbage collection, memory management, and object modeling • Unit testing experience with Grabler, JUnit, or similar frameworks • Proficient in Oracle or similar relational databases • Comfortable working in agile environments, especially those transitioning More ❯

engineering challenges in finance. Key Responsibilities: Design and implement high-performance C++17+ infrastructure libraries and tools. Develop ultra-low latency systems for global trading operations. Engineer core platform components: memory allocators, kernel bypass, custom RPC, and distributed compute frameworks. Optimise performance at the hardware/software boundary, including GPU acceleration and CUDA-based compute. Work on Linux kernel internals … networking stacks, and system-level debugging. Technical Requirements: 3+ years of experience in C++ (C++17/20) with strong knowledge of memory management, concurrency, and performance tuning. Experience with GPU programming (CUDA), SIMD, and kernel-level development. Deep understanding of data structures, lock-free algorithms, and low-latency systems. Familiarity with Linux internals, system calls, and performance profiling More ❯

team in London on a full-time basis What You’ll Do Architect and implement high-performance data processing systems in Rust Leverage Apache Arrow and Parquet for in-memory and on-disk data efficiency Integrate and extend systems like DataFusion, ClickHouse, and DuckDB Design low-latency pipelines for analytical workloads Collaborate with product and platform teams to expose … C/C++ or systems-level languages Experience with columnar formats like Arrow and Parquet Have worked with or contributed to analytical databases like ClickHouse, DuckDB, or DataFusion Understand memory management, file formats, and query execution pipelines Are passionate about open-source and care about software craftsmanship Thrive in a startup environment Want to help reinvent how data More ❯

You Bring... 4-8 years' experience managing large-scale Linux infrastructure in high-performance, distributed, or AI-centric environments Deep technical fluency with GPU architecture, deployment, and tuning (e.g. memory management, driver compatibility, hardware diagnostics) Strong scripting and automation skills, especially in Python, with infrastructure-as-code mindset Hands-on experience resolving GPU workload issues across compute clusters … and supporting technologies Familiarity with performance tooling and debugging in live production environments Practical experience with CUDA or systems-level programming in C/C++ Experience with config management frameworks like Salt, Ansible, or Puppet (Preferred) Experience with GPU communication and interconnect technologies (e.g. collective communication libraries such as NCCL, low-latency solutions like GPUDirect RDMA, or high-speed More ❯

C++17/20) with a deep understanding of performance optimisation. Experience with GCC 12 or similar toolchains that support C++20 features. Solid understanding of low-latency systems, multithreading, and memory management. Background in real-time systems, high-frequency trading, or performance-critical applications. If this sounds interesting, please apply for more info More ❯

and LangFlow. Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, FAISS, Chroma, or PostgreSQL. Fine-tune prompts to optimise performance, reliability, and alignment. Design and implement memory modules for short-term and long-term agent behaviours. Deploy models and orchestrate AI systems on cloud platforms such as AWS Bedrock, Google Vertex AI, and Azure AI Studio. … collaboratively with their teams, Google Premier Cloud Partner experience etc Proven track record designing and deploying agentic and generative AI prototypes. Deep understanding of semantic search, vector databases, and memory management strategies. Familiarity with cloud AI tools, observability platforms, and performance optimisation. This is an opportunity to work at the forefront of AI innovation, where your work will More ❯