7 of 7 Distributed Systems Jobs in Lancashire

experience using LLM APIs or AI-enhanced features and Agents. Experience with cloud services such as AWS, Azure, or serverless platforms. Interest in distributed systems, event-driven architectures, or DDD concepts. Familiarity with observability tooling and debugging complex systems. Skills & Experience Proven experience as a software engineer ...

experience using LLM APIs or AI-enhanced features and Agents. Experience with cloud services such as AWS, Azure, or serverless platforms. Interest in distributed systems, event-driven architectures, or DDD concepts. Familiarity with observability tooling and debugging complex systems. ...

Platform Lead will identify priorities to remove friction from engineering teams, streamline processes, and enhance operational excellence. This role combines software engineering principles with systems administration to deliver robust, automated, cost-effective, and secure-by-design solutions. The Cloud & Platform Engineering Lead plays a critical role in ensuring that … platform is reliable, observable, secure, and able to scale with the organisation’s growth. As we adopt intelligent agents, autonomous workflows, and increasingly complex distributed systems, the Platform Lead ensures that resilience, performance, and operational excellence are built into everything we deliver. By partnering closely with Engineers, Architects ...

annum We're hiring multiple Software Engineers from junior to senior level to join a growing technology team delivering scalable, high-performance systems within a global financial services environment. Key Skills & Responsibilities: Designing and developing high-quality, scalable software solutions. Working across the full SDLC in a modern engineering … practices. Contributing to architecture, innovation, and continuous improvement. Strong programming experience in Python (essential) Exposure to Golang or Java (nice to have) Experience with distributed systems/microservices architecture. Knowledge of APIs, system design, and cloud environments. Strong focus on clean code, testing, and engineering best practices. This ...

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 across several of the following: Enterprise and platform architecture within large-scale organisations F inancial services or heavily regulated environments Cloud architecture and distributed systems Payments, lending, cards, pensions or capital markets technology Data protection and security architecture AI, machine learning or emerging technology strategy Stakeholder management ...

engineering squads. This role encompasses both manual and automated testing, covering functional, integration, regression, performance, and AI-driven behaviours as we adopt intelligent agent systems and features. Working closely with the team, you will design robust test strategies, develop automated test suites, perform exploratory testing, and ensure that quality … Selenium, REST API automation tools). Familiarity with CI/CD pipelines and integrating automated tests into deployment workflows. Experience testing APIs, microservices, and distributed systems. Awareness of secure coding, security testing basics, and data privacy considerations. Strong analytical and problem-solving skills, with excellent attention to detail. Ability ...