8 of 8 Distributed Systems Jobs in Bristol

right standard, with the right technical and leadership behaviours across the company. You will lead an engineering team that works across FPGA, RF, embedded systems, distributed software, ML and applications engineering. The breadth is substantial, so you don’t need to be the deepest expert in every domain … ability to assess technical quality, risk and trade‐offs across disciplines beyond your own specialism. Broad technical fluency across areas such as software, distributed systems, embedded systems, RF, FPGA, hardware or ML‐driven systems. Credibility with experienced engineers and technical leaders through sound judgement, pragmatism ...

solving challenging problems through high-quality engineering, combining technical depth with hands-on delivery. This role offers the opportunity to work on data-intensive systems within demanding environments, building scalable pipelines and robust data platforms that support real-world outcomes. You'll have the opportunity to: Design and build … data pipelines and data-intensive applications Work across large-scale datasets in complex engineering environments Contribute to modern data platforms and distributed systems Collaborate with engineers and clients to deliver production-ready solutions Take ownership of delivery within high-impact programmes Work with modern tools and frameworks across ...

design, development, and delivery of secure full-stack applications using Java, React, and modern web technologies Building scalable back-end services, APIs, and distributed systems Developing responsive and user-focused front-end applications using React and associated frameworks Designing and maintaining cloud-native solutions across AWS, Azure … frameworks such as React Previous experience operating at Senior, Lead, or Principal Engineer level Strong understanding of software architecture, API design, and scalable distributed systems Experience building cloud-native applications and working within AWS, Azure, or similar cloud environments Strong knowledge of DevOps tooling, CI/CD pipelines ...

Machine Learning Engineer you will: Design and implement data ingestion, model training, validation, deployment and monitoring pipelines across the organization Optimize ML infrastructure and systems for maintainability, scalability, robustness, efficiency, and operating costs Collaborate with product stakeholders, data scientists and engineering teams to design and implement AI/… latency optimization, cloud infrastructure optimization, knowledge graphs, and MLOps - Deep understanding of CS fundamentals, computational complexity and algorithm design - Experience with building large-scale distributed systems in an agile environment and the ability to build quick prototypes - Excellent knowledge of Python and core data science libraries including Pandas ...

experience as a Solution Architect or Senior Technical Architect Strong background in cloud platforms (AWS, Azure or GCP) Experience across enterprise architecture, microservices, or distributed systems Ability to work across the full delivery lifecycle in Agile environments Strong stakeholder management and communication skills Exposure to architecture frameworks (TOGAF ...

modern DevOps capability. This role offers the opportunity to work across end-to-end DevOps environments , supporting the development, deployment, and operation of complex systems within high-assurance settings. You'll have the opportunity to: Build and maintain DevOps pipelines and infrastructure at scale Work across modern cloud, container … eligible for UK Security Clearance (SC) You will gain exposure with: Modern DevOps practices across secure and high-assurance environments Cloud-native platforms and distributed system architectures End-to-end platform delivery across development and operations Advanced monitoring, automation, and deployment techniques Defence and mission-critical engineering programmes Complex ...

governance and data management Experience with Data Lake, Lakehouse, and Data Mesh architectures Strong knowledge of SQL and modern data platforms , including NoSQL and distributed systems Experience designing and delivering data pipelines and end-to-end data flows Understanding of cloud data platforms and deployment models (on-prem ...

transformation and integration - Build and maintain batch and real-time data processing pipelines - Ensure high standards of data quality, integrity and traceability across all systems Elastic Stack & Platform Management - Configure, optimise and maintain Elasticsearch clusters for performance and resilience - Develop and maintain Logstash pipelines for efficient data processing - Create … such as defence, government or finance - Strong understanding of: Data ingestion and processing frameworks Real-time and batch processing architectures Data modelling for analytics Distributed system troubleshooting and optimisation - Knowledge of: Encryption and secure data handling RBAC and audit controls DevOps and CI/CD principles Git/version ...