126 to 150 of 231 Distributed Systems Jobs in the UK

in an applicable Engineering Discipline Essential skills Competent in software language Java Wide ranging knowledge of software languages, frameworks and toolsets Knowledge/awareness of Software architectures Large scale distributed system software design Ability to develop, deploy, debug software to a target with MS Windows as the underlying operating system. TCP/IP and IP network protocols Microsoft System More ❯

technology in response to researchers' needs and to the ever-changing technical landscape, including the use of AI technologies. Responsibilities: Designing, developing and deploying applications in a cloud-hosted distributed system to build our next-generation product. Collaborating with business stakeholders to identify requirements and gather feedback in a fast-moving environment. Providing input into architectural decisions to ensure More ❯

you develop into a better-rounded professional. BASIC QUALIFICATIONS - Experience of technical writing (documentation, blog posts, books, online courses, whitepapers etc) and experience of working as part of a distributed team. - Hands-on experience building, deploying and running production Cloud workloads and experienced with industry architecture and compliance frameworks - Understands large-scale complex distributed systems from an More ❯

threats, and power the next generation of RF intelligence systems. We’re partnered with a world-class engineering team designing advanced embedded platforms for cutting-edge RF and sensing systems, used globally across defence, aerospace, and intelligence sectors. This is a chance to work on meaningful, high-impact technology with a team that loves solving complex real-world challenges. … What You’ll Be Doing Designing and developing high-performance embedded software in modern C++17 & Rust on Linux platforms Building real-time distributed systems that capture and analyse RF data at scale Working hands-on with cutting-edge hardware and signal-processing tools Collaborating with experienced engineers across embedded, firmware, and system design Driving innovation in an environment … where technical curiosity is valued What You’ll Bring Essential: Strong C++ development skills (C++11/14/17) Strong familiarity with Linux systems Strong understanding of hardware interfaces, threading, and performance optimisation Nice to Have: Experience with Rust, or willingness to learn Background in RF systems, SDR, or signal processing Knowledge of networked or real-time systems More ❯

modern operations. Responsibilities Architect and implement core infrastructure for a high-performance, adaptive intelligence platform. Build robust, scalable pipelines for ingesting and transforming multimodal data in real time. Design systems for knowledge representation and ontological reasoning that can adapt as information evolves. Develop composable services capable of deployment across cloud, edge, and on-prem environments. Collaborate with domain experts … and end users to deeply understand operational constraints and mission needs. Lead technical design and decision-making while remaining hands-on in building and shipping code. Ensure systems are secure, reliable, and maintainable under demanding operational conditions. Drive a culture of pragmatic innovation, balancing rapid iteration with robust engineering standards. Skills and Qualifications A strong systems thinker and … engineer with a track record of designing and delivering complex platforms. Proven experience building distributed systems, data pipelines, or infrastructure for mission- or safety-critical environments. Deep proficiency in at least one modern systems-level or backend programming language (e.g. Python, Rust, Go, or similar) with the ability to design, implement, and optimise performant, reliable software. Experience More ❯

join a forward-thinking technology company. This is a trusted, high-impact engineering environment where a Site Reliability Engineer will be given real ownership, solving complex problems and building systems that directly accelerate software delivery at scale. As a Site Reliability Engineer, you'll focus on creating and improving the platforms, tools, and services that support modern web engineering. … hands-on and goes far beyond maintenance. The Site Reliability Engineer will collaborate closely with product and engineering teams across the stack, driving improvements to developer experience, testability, and distributed system resilience. Clean, maintainable code, strong security practices, and expertise in modern cloud infrastructure are essential. Site Reliability Engineer - Key Skills & Experience: Solid experience in platform, SRE, or backend … e.g. Terraform) Deep understanding of security best practices in cloud and application delivery Exposure to observability tooling (Prometheus, Grafana, structured logging, etc.) Confident debugging and resolving issues in complex distributed systems Background in B2B SaaS web applications, with familiarity in Node a plus Able to operate autonomously within small, high-impact engineering teams If you're a Site More ❯

world applications. Responsibilities Developing production-ready APIs and services that expose AI functionality to internal and external applications. Improving reliability & monitoring for AI-driven applications in production. Scaling AI systems to handle real-world legal use cases (e.g., legal document analysis, case predictions, automated legal advice). Collaborating with AI engineers to ensure smooth deployment of AI workflows and … workflows to process large-scale AI workloads efficiently. Ensuring security & compliance in AI-driven legal services. Requirements Strong Python experience in building scalable backend systems. Familiarity with API design & distributed systems architecture. Experience working with event-driven architectures (e.g. Kafka, Pub/Sub, AWS Step Functions, etc.). Experience working with cloud platforms (AWS, GCP etc). Understanding … and debugging. Nice to Have LLM Observability & Evaluation - familiarity with tools such as Langfuse for monitoring model generations, managing prompts, and measuring quality in production. Comfortable optimising performance & scaling distributed AI workloads and ML Ops experience. Full-stack Typescript experience. Hands-on work with vector databases, hybrid retrieval methods, and evaluation of retrieval quality. Agentic & Orchestrated Systems - exposure More ❯

Part-time Key Responsibilities Conduct cutting-edge research and drive applications in areas such as Artificial Intelligence, Machine Learning, Big Data Analytics, Computer Vision, Natural Language Processing, and Intelligent Systems Architecture; Lead the application and execution of national or provincial research projects, and promote the commercialization of technological achievements; Build and lead a high-caliber R&D team, mentoring … solid foundation in data structures and algorithms; In-depth understanding of core algorithms and engineering implementation in AI, Machine Learning, or Computer Vision; Familiarity with large-scale computing platforms, distributed systems, cloud architectures, and related toolchains; Proven experience in translating research into industrial applications. Core Competencies: Strategic and innovative thinking with the ability to lead original research initiatives More ❯

Part-time Key Responsibilities Conduct cutting-edge research and drive applications in areas such as Artificial Intelligence, Machine Learning, Big Data Analytics, Computer Vision, Natural Language Processing, and Intelligent Systems Architecture; Lead the application and execution of national or provincial research projects, and promote the commercialization of technological achievements; Build and lead a high-caliber R&D team, mentoring … solid foundation in data structures and algorithms; In-depth understanding of core algorithms and engineering implementation in AI, Machine Learning, or Computer Vision; Familiarity with large-scale computing platforms, distributed systems, cloud architectures, and related toolchains; Proven experience in translating research into industrial applications. Core Competencies: Strategic and innovative thinking with the ability to lead original research initiatives More ❯

in financial services (preferably front-office trading environments). Solid understanding of market data, eFX, or time-series data. Experience building dashboards, reporting tools, or data visualisations. Knowledge of distributed systems, resiliency, and performance optimisation. Proficiency in at least one other programming language (e.g., Python, Java, C++) is desirable. Strong problem-solving and analytical skills, with the ability More ❯

large-scale data sets Developing and optimising Python-based data ingestion tools Collaborating on the design and deployment of machine learning models Ensuring data quality, integrity, and performance across distributed systems Contributing to data architecture and storage strategy design Working with cloud data platforms (AWS, Azure, or GCP) to deploy scalable solutions Monitoring, troubleshooting, and tuning Spark jobs More ❯

large-scale data sets Developing and optimising Python-based data ingestion tools Collaborating on the design and deployment of machine learning models Ensuring data quality, integrity, and performance across distributed systems Contributing to data architecture and storage strategy design Working with cloud data platforms (AWS, Azure, or GCP) to deploy scalable solutions Monitoring, troubleshooting, and tuning Spark jobs More ❯

knowledge of modern software engineering best practices and have experience across the full software development lifecycle You're a technologist who enjoys collaborating and problem solving, working on complex, distributed systems You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a scaling company in a More ❯

training, conflict resolution, etc Experience Required - Excellent hands on knowledge of C#/.net Strong engineering architecture, design patterns and principles. Proven ability of designing and developing microservices and distributed systems. Commercial experience of Cloud technologies (AWS or Azure) Team development skills - mentoring, coaching, getting the best from your colleagues, etc, etc Strong knowledge of working in an Agile More ❯

technology in response to researchers' needs and to the ever-changing technical landscape, including the use of AI technologies. Responsibilities: Designing, developing and deploying applications in a cloud-hosted distributed system to build our next-generation product. Collaborating with business stakeholders to identify requirements and gather feedback in a fast-moving environment. Providing input into architectural decisions to ensure More ❯

seeking a Java Developer/eTrading Strategist to join its London Rates eTrading team . This front-office role focuses on designing, building, and optimising low-latency Java trading systems that power the bank's global Rates business. The Role You will engineer high-performance Java components for algorithmic execution, pricing, and market connectivity. Working closely with traders, quants … applications for GC optimisation, lock contention, and throughput . Implement real-time monitoring, logging, and alerting frameworks . Partner with quants to integrate pricing models into Java-based trading systems . Conduct rigorous code reviews, testing, and benchmarking . Candidate Profile Degree in Computer Science, Engineering, Mathematics , or related field. 10+ years' experience in Java development within low-latency … trading systems . Deep knowledge of Java concurrency, GC tuning, memory management, and NIO . Familiarity with market microstructure, FIX, order types, and trading protocols . Proven track record delivering production-grade Java trading platforms . Rates (cash & derivatives) eTrading experience strongly preferred. Preferred Technical Skills Core Java 11+ , multithreading, lock-free programming. Low-latency messaging frameworks ( Aeron, Chronicle More ❯

communities of practice that foster innovation across the organisation. What you'll be doing: Designing and delivering scalable AI-driven architecture platforms. Embedding AI/ML models into production systems (e.g. recommendation engines). Driving adoption of AI best practices across development teams. Leading and participating in architecture communities of practice. Staying ahead of technology trends such as cloud … AI, distributed systems, and data security. What we're looking for: 5+ years' experience in JavaScript, Java, TypeScript, or Python. Strong background in architecting and building complex systems. Knowledge of financial services applications (risk, transaction processing, data security). Strong communication skills to present complex ideas to stakeholders. Experience working with data scientists to productionise models. Familiarity with More ❯

based role, speaking with colleagues within the US and UK. Mainly via Teams. The role - Design robust API's to support mobile and desktop clients Manage and optimize scalable distributed systems in the cloud Optimize web applications to ensure performance and scalibility Develop automated tests to ensure business needs are met Contribute to infrastructure improvement initiatives Ensure smooth … deployment and integration of features Resolve operational issues and minimise downtime when needed. Key Technologies - Cloud based systems, Azure and AWS Full Stack Octopus Deploy VueJS , React, Angular Mobile development in Android Studio Key Skills - Passionate about software engineering and delivering a quality product Have a deep understanding and extensive experience with backend technologies, including API's Have extensive More ❯

about through a dedicated day away from work. What you'll do Your key accountabilities will include: Software Development & Architecture: Responsible for design and architectural decisions, developing scalable and distributed systems, and driving legacy migrations. Focused on optimizing deployment pipelines to enhance efficiency and reliability. Quality, Stability & Standards: Establish quality standards to meet performance, reliability, and maintainability of … the systems. With a strong production-first mindset, drive observability, maintain Service Level Objectives (SLOs), and ensure efficient incident resolution. Oversee the maintenance of existing systems, ensuring continuous improvements and prompt resolution of issues. Agile Delivery & Collaboration: Working closely with product, design, and programme management, you will lead the engineering delivery aligning to the business objectives. Collaboration will be … hands-on lead software engineer Experience working on highly scalable software solutions across web or backend Extensive background in software engineering with several years' experience in a variety of systems and technologies Experience building and leading teams of highly skilled, senior software engineers that deliver high-quality software. Excellent understanding of system design, software architecture, cloud, and software engineering More ❯

Work Alongside Industry Leaders Rob Ladbrook – Director of Engineering Rob was Deliveroo's first IC to be promoted to Principal Engineer, renowned for building ultra-low-latency, fault-tolerant systems at global scale (Deliveroo, Meta). His platforms handle hundreds of millions of real-time transactions with four-nines uptime. At Relay, Rob champions innovation, consistently seeking and supporting … new ideas that redefine what's possible. Diego Protas – Director of Platform Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are More ❯

working as an architect, designing and implementing large-scale solutions in the Financial Services industry. - Solid understanding of virtualization and/or cloud computing technologies. PREFERRED QUALIFICATIONS - Knowledge of distributed systems design and implementation or equivalent - Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers … or other large-scale cloud services providers, and cloud-based services and delivery modes (Iaas, PaaS, SaaS) - Deep experience with FSI-related applications, such as core insurance or banking systems, or big data architectures - The ability to deal with ambiguity and work in a virtual team environment - AWS certifications Our inclusive culture empowers Amazonians to deliver the best results More ❯

industry impact What You'll Do Pioneer multimodal AI research combining language models with advanced generative techniques Lead breakthrough projects in diffusion models, text-to-image generation, and multimodal systems Drive innovation in agentic AI systems and human-AI collaboration Publish world-class research at top-tier conferences (NeurIPS, ICML, ICLR, CVPR) Collaborate globally with researchers across 100+ …/Computer Vision with strong publication record Deep expertise in diffusion models and generative AI Proven experience with text-to-image generation, multimodal AI Large-scale model training experience (distributed systems, GPUs) Proficiency in PyTorch, JAX, or similar frameworks Enterprise AI deployment experience Safety and alignment research background Multilingual/multicultural AI expertise Highly Valued: A Background at More ❯

December 2024 totaled $13.8 billion. Experience : Minimum 10+ Years Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Specialization in designing and implementing large-scale data pipelines, ETL processes, and distributed systems Should be able to work independenty with minimal help/guidance Good Understanding of Airflow,Data Fusion and Data Flow Strong Background and experience in Data Ingestions More ❯

December 2024 totaled $13.8 billion. Experience : Minimum 10+ Years Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Specialization in designing and implementing large-scale data pipelines, ETL processes, and distributed systems Should be able to work independenty with minimal help/guidance Good Understanding of Airflow,Data Fusion and Data Flow Strong Background and experience in Data Ingestions More ❯

December 2024 totaled $13.8 billion. Experience : Minimum 10+ Years Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Specialization in designing and implementing large-scale data pipelines, ETL processes, and distributed systems Should be able to work independenty with minimal help/guidance Good Understanding of Airflow,Data Fusion and Data Flow Strong Background and experience in Data Ingestions More ❯