1,101 to 1,125 of 7,836 Software Engineering Jobs in England

STOXX is seeking a Principal Platform Engineer to join our global Platform Engineering function, responsible for the cloud platforms, engineering capabilities, and operational foundations that support our products and services worldwide. Working across both GCP and AWS, you will help shape the next evolution of our platform engineering … support AI‐powered applications, agentic workflows, and emerging AI technologies at enterprise scale. As a Principal Engineer, you will work closely with peers across engineering, architecture, security, and product teams to solve complex technical challenges and influence technical direction through expertise, collaboration, and delivery. You will evaluate emerging technologies ...

Build the future of Test Automation for Connected TV Role We're looking for a Mid-level Software Developer in Test to join our Quality Engineering team at FX Digital. This is a hands‐on role for a genuinely self‐driven engineer who cares deeply about the work … tools, frameworks and approaches, and share what you learn with the team. Qualifications 2+ years of professional experience in test automation, SDET or equivalent software engineering roles. Strong working knowledge of TypeScript and/or Python, and at least one modern test framework (Playwright, Cypress, WebdriverIO, or similar ...

will play a key part in shaping our data ecosystem, ensuring reliability, performance, and long-term sustainability. 5+ years of experience in data engineering (or 3+ years with strong Foundry depth). Key Responsibilities Implement batch, incremental, and streaming ETL/ELT workflows with reusable, production-ready components. Build … Foundry-based data assets. Troubleshoot production issues, ensure root‐cause analysis, and drive long-term fixes. Translate ambiguous business requirements into scalable data engineering solutions. Support Foundry Workshop apps, dashboards, and end-user analytical experiences. Communicate clearly with technical and non-technical stakeholders, ensuring shared understanding of data design ...

will play a key part in shaping our data ecosystem, ensuring reliability, performance, and long-term sustainability. 5+ years of experience in data engineering (or 3+ years with strong Foundry depth). Key Responsibilities Implement batch, incremental, and streaming ETL/ELT workflows with reusable, production-ready components. Build … Foundry-based data assets. Troubleshoot production issues, ensure root‐cause analysis, and drive long-term fixes. Translate ambiguous business requirements into scalable data engineering solutions. Support Foundry Workshop apps, dashboards, and end-user analytical experiences. Communicate clearly with technical and non-technical stakeholders, ensuring shared understanding of data design ...

platform. This role leads complex incident response and root-cause improvements, balancing immediate customer and production needs with durable, scalable solutions. Working closely with Engineering, Information Security, and Customer Success, the Senior Site Reliability Engineer helps build an operability culture that protects customers, reduces risk, and supports the continued … growth of the platform. Responsibilities Partner closely with application engineering teams to design, build and operate reliable, scalable and resilient production services. Work across both the application and infrastructure stacks, helping engineers identify and resolve reliability, performance and operational issues. Establish and drive SRE best practices, including service-level ...

technical thought leadership and excellent problem solving ability, with an aptitude for technical innovation. SKILLS Must have Mandatory Skills Description: 8+ years of professional software development experience. Strong backend development experience with Python with a track record of clean, maintainable, testable production code. Front-end development experience (React preferred …/CD pipelines Debugging & problem-solving skills with strong ownership across the SDLC.AI Acumen Experience applying modern agentic approaches (spec-driven development) to software engineering Hands-on with Claude Code, VS Code + Copilot, and building or using reusable Al skills Al-first repositories - build agent-ready repos ...

components and end-to-end solutions and guide decisions across low-code, pro-code,integrationand AI patterns. A major part of the role is engineering AI agents and agentic workflows. You will design how agents use trusted knowledge, approved tools, Model Context Protocol (MCP) services, approvals, human hand-offsand … Create custom connectors,plug-insand Azure-hosted components where low-code capability is insufficient, choosing technologies based on need,riskand supportability. Set and apply engineering standards for source control, solution packaging, environment strategy, automated testing, CI/CD,monitoringand release management. Lead technical investigation of complex live-service faults ...

more scalable, cloud-native and event-driven services. This is an opportunity to influence how our core platform evolves, improve the experience of our engineering teams and build the foundations that support our customer-facing products. This is a hands-on technical leadership role , combining software engineering, architecture and platform strategy. You'll spend around half your time actively contributing to engineering delivery, while also helping set technical direction, mentoring engineers and driving initiatives across teams. You’ll be responsible for: Driving platform modernisation: Lead the design and delivery of cloud-native, event-driven services ...

Technology and other digital banking platforms, and recommend enhancements to keep our solutions cutting-edge. Qualifications: Experience: Minimum of 7 years of experience in software engineering, with at least 3 years of experience in implementing Sandstone Technology's BankFast eXperience Platform (BXP). Proven track record in leading … understanding of digital banking solutions, customer onboarding, loan origination, and other financial products within the BXP ecosystem. Leadership: Demonstrated ability to lead and inspire engineering teams, fostering a culture of innovation and excellence. Agile Methodologies: Experience working in Agile/Scrum environments and leading Agile teams. Problem-Solving: Strong ...

delivering analytics projects where there is a requirement to construct analytical databases from clients' raw and unstructured data. Additionally, you will support the data engineering function by maintaining and enhancing data infrastructure and processes. This is an exciting opportunity to apply modern engineering and automation approaches to complex … doing? As a Health Data Engineer (Associate Consultant) in LCP's Health team, you will work across a diverse range of data engineering projects that support both client delivery and the development of reusable internal capabilities. Your key responsibilities will be to: Design and implement robust data models ...

delivering analytics projects where there is a requirement to construct analytical databases from clients' raw and unstructured data. Additionally, you will support the data engineering function by maintaining and enhancing data infrastructure and processes. This is an exciting opportunity to apply modern engineering and automation approaches to complex … doing? As a Health Data Engineer (Associate Consultant) in LCP's Health team, you will work across a diverse range of data engineering projects that support both client delivery and the development of reusable internal capabilities. Your key responsibilities will be to: Design and implement robust data models ...

regulatory expectations and emerging risks. Qualifications Required Experience Candidates should possess several of the following: 3-5+ years’ experience in AI development, data engineering, data science, technology consulting, software engineering, automation, technology risk, IT audit or digital transformation. Practical experience designing, building, deploying, testing or reviewing … experience. Experience with AI governance, model risk management or responsible AI frameworks. Required Technical Competencies Strong understanding of technology architecture, data management and modern software development practices. Working knowledge of AI, machine learning, Generative AI, Large Language Models (LLMs) and Agentic AI. Strong data analytics capability, including experience with ...

monitor quality performance, identify trends and risks, and drive data-driven continuous improvement across engineering. You will gain practical experience in data analytics, data engineering, Python development and automation, while helping to identify root causes of quality issues, improve efficiency and optimise engineering processes. This is an excellent … increasing operational efficiency. Help develop dashboards, reports and analytical solutions to monitor quality performance, identify trends and risks, and provide actionable insights to engineering teams. Use programming languages such as Python and SQL to analyse data, automate repetitive tasks and optimise existing processes. Analyse engineering and quality data ...

bold, multi‐year transformation to build a best‐in‐class global platform across execution, prime, clearing and cross‐product margining. We are re‐engineering our technology estate to achieve world‐leading performance and resiliency, enabling new capabilities in advanced execution, global market connectivity, and modernised post‐trade, clearing … role This is a hands‐on (programming) role that sets technical direction, owns delivery outcomes, and takes accountability for application ownership while raising engineering standards across the team. It pairs a broad platform view with close, day‐to‐day engagement in real technical challenges. Responsibilities: Own, design, and build ...

models to production and implement measures to monitor their performance · Implement ETL pipelines and orchestrate data flows using batch and streaming technologies based on software engineering best practice · Define, document and iterate data mappings based on concepts and principles of data modelling · Re-engineer data pipelines … Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc) o Software development best practices including CI/CD, TDD and version control. o Containerisation tools like Docker or Kubernetes o Experience with Infrastructure as Code ...

standards of trust, transparency, safety, and security in AI, ensuring ethical practices and compliance with relevant regulations. Collaboration with cross-functional teams and stakeholders — engineering, product, business leadership, and client counterparts — will be a key part of your experience, providing exposure to both technical and business aspects … well-structured, and testable code that meets the bar for deployment into production on cloud-native data and AI platforms, working closely with the Engineering team on integration, monitoring, and iteration once live. Participate in maintaining documentation and inventory of AI/ML projects, ensuring adherence to governance ...

delivery and close, using AI-assisted development to build and improve solutions at pace. This is a business-facing solutions role, not a traditional software engineering position. You will use tools such as Factory.ai/Droid, Replit and other approved AI assistants to direct the creation of prototypes … this competency: practical awareness and disciplined use of established DevOps processes. This role does not require ownership of cloud infrastructure, CI/CD platform engineering or a production operations function. Stakeholder enablement and knowledge sharing Support senior, non-technical users as they adopt AI-assisted ways of working. Explain ...

looking for We are seeking a Data Platform Engineer to join our team within Security and IT Infrastructure Services. This is a hands‐on engineering role with real ownership, for someone with proven data engineering experience who wants to shape how a data platform is designed, built … issues are caught and fixed before they affect users. You will work independently and help shape the team’s technical direction through solution design, engineering standards and mentoring. About Us Schroders is a global investment manager which provides active asset management, wealth management and investment solutions. ...

analyses and turning recurring patterns into shared, tested and versioned tooling. The Senior Clinical Data Engineer will also work closely with Qureight’s Data Engineering team, building on their existing study pipelines and sharing best practice and ideas so that both teams build on common standards. If you enjoy … helping facilitate effective and efficient working practices, and you’re interested in the interface between clinical data standards, data engineering, data science and medical applications (particularly in clinical trials), then this role is for you. What you will do Prepare clinical trial data from sponsors and CROs to each ...

analyses and turning recurring patterns into shared, tested and versioned tooling. The Senior Clinical Data Engineer will also work closely with Qureight’s Data Engineering team, building on their existing study pipelines and sharing best practice and ideas so that both teams build on common standards. If you enjoy … helping facilitate effective and efficient working practices, and you’re interested in the interface between clinical data standards, data engineering, data science and medical applications (particularly in clinical trials), then this role is for you. What you will do Prepare clinical trial data from sponsors and CROs to each ...

part of our growing technology team to help create the cloud platforms to support Our Future Health as we scale Work with the engineering and operations teams to define platform requirements Use an iterative approach to building the platform, starting simple and increasing complexity as we go Support defining … make decisions. Working in a place where you can’t see the impact your expertise makes. Experience High proficiency in cloud DevOps/platform engineering and large-scale live services. Azure, AWS or GCP. Hands-on experience developing infrastructure-as-code with tools such as Terraform, OpenTofu, Terragrunt, Pulumi ...

have a strong focus on Microsoft Azure and Azure API Management (APIM) , designing secure, scalable and resilient integration architectures. You will work closely with engineering, platform, DevOps and architecture teams to establish API standards, integration patterns, automated deployment approaches and secure connectivity across Azure environments. Key Responsibilities Lead … using Azure Monitor, Log Analytics and Application Insights . Present solution designs through architecture governance and review processes. Provide technical leadership and guidance to engineering teams and promote API-first and loosely coupled architecture patterns. Qualifications Essential Skills & Experience 8+ years' experience across software engineering, solution architecture ...

have a strong focus on Microsoft Azure and Azure API Management (APIM) , designing secure, scalable and resilient integration architectures. You will work closely with engineering, platform, DevOps and architecture teams to establish API standards, integration patterns, automated deployment approaches and secure connectivity across Azure environments. Key Responsibilities Lead … using Azure Monitor, Log Analytics and Application Insights . Present solution designs through architecture governance and review processes. Provide technical leadership and guidance to engineering teams and promote API-first and loosely coupled architecture patterns. Qualifications 8+ years' experience across software engineering, solution architecture or integration architecture ...

Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks, and full-stack engineering to solve real business problems. If you’re excited by rapid prototyping, scaling AI products into production, and using technology to make a tangible impact, this … Machine Learning models, Generative AI models and using Agentic AI frameworks in a client-facing environment, by building* GenAI And Agentic solutions, including data engineering in cloud environments.* The ability to demonstrate the potential that AI has to offer to unlock business value.Your Technical Expertise:This list shows ...

Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks, and full-stack engineering to solve real business problems. If you’re excited by rapid prototyping, scaling AI products into production, and using technology to make a tangible impact, this … Machine Learning models, Generative AI models and using Agentic AI frameworks in a client-facing environment, by building* GenAI And Agentic solutions, including data engineering in cloud environments.* The ability to demonstrate the potential that AI has to offer to unlock business value.Your Technical Expertise:This list shows ...