176 to 200 of 226 Deployment Automation Jobs in England

availability database environment that supports a sophisticated operational software platform. This is an opportunity to join an innovative engineering team where reliability, performance and automation are central to delivering cutting-edge technology. Working closely with software engineers, platform specialists and data teams, you'll ensure the database layer remains … Responsibilities Own the design, administration and ongoing optimisation of production MariaDB/MySQL databases. Develop and manage robust database schema migrations with safe deployment, validation and rollback processes. Monitor, analyse and optimise database performance in high-volume, write-intensive environments. Design and maintain backup, recovery and data retention strategies ...

full delivery lifecycle, from specification through to a deployed, tested system. Candidates must have demonstrable end-to-end experience delivering agentic AI automation; the confidence and credibility to work directly with senior business stakeholders and lead requirements gathering; sound judgement on AI output reliability; a structured approach to risk … literacy to know when what Claude has produced is wrong. THE ROLE Work directly with the business to identify, specify and deliver agentic AI automation within the client's internal platform. Map existing business processes and identify where agentic automation delivers value Liaise directly with business stakeholders ...

relevant products that deliver measurable outcomes. AI Product Strategy and Discovery Identify high-value opportunities across Generative AI, large language models, AI agents, intelligent automation, computer vision, multimodal AI and decision intelligence. Engage customers and industry stakeholders to understand unmet needs, operational challenges and technology environments. Translate complex problems … scalable and production-grade solutions. Develop AI agents, enterprise assistants, conversational applications, retrieval-augmented generation, semantic search, intelligent document processing, computer vision and workflow automation solutions. Integrate AI capabilities with enterprise applications, APIs, data platforms, security controls and operational workflows. Balance customer value, functionality, speed, scalability, cost, security ...

Drive improvements in system design, scalability, and maintainability through proactive refactoring and architectural evolution. Define and support implementation of CI/CD, testing, and deployment strategies to ensure reliable and efficient delivery. Ensure all solutions adhere to security, privacy, and compliance requirements, including secure data handling practices. Maintain clear … optimising data pipelines (e.g. SSIS or equivalent tools and frameworks). Programming (e.g. Python) – Experience using Python or similar languages for data processing, automation, or pipeline development. Cloud & Platform Technologies – Familiarity with modern data platforms and cloud-based architectures (desirable). Performance & Scalability Optimisation – Ability to design and tune ...

system performance, reliability, and power consumption. Maintain technical documentation and contribute to software architecture decisions. Participate in CI/CD pipelines for automated testing, deployment, and software delivery. About You Bachelor's or Master's degree in Computer Science, Electrical Engineering, Electronics Engineering, or a related discipline. Strong commercial … experience developing embedded software in C/C++. Experience with Linux-based embedded systems and Python for scripting, automation, or testing. Hands-on experience with microcontrollers such as ARM Cortex-M, STM32, ESP32, or similar platforms. Strong understanding of IoT architectures, edge devices, and connected product development. Experience implementing ...

requirements. Lead reuse‐first adoption of AI‐assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls. Drive improvements in latency, throughput, and stability across high volume trading applications. Build … contribute production‐grade code. Experience with microservices, distributed systems, and event‐driven architectures. Strong understanding of CI/CD pipelines, automated testing, and deployment strategies. Comfortable interacting directly with traders and senior stakeholders. Excellent communication skills, especially when translating technical issues into business impact. Ability to operate calmly ...

This role combines deep technical expertise with business understanding, requiring end-to-end ownership of AI and machine learning solutions from problem definition through deployment, monitoring, and impact measurement. Key Responsibilities Design and develop production-grade AI and machine learning solutions across the sales data platform. Build recommendation engines … machine learning capabilities into enterprise applications. Own the end-to-end AI/ML lifecycle, including problem definition, data exploration, model development, validation, deployment, and monitoring. Develop forecasting models, segmentation strategies, optimisation algorithms, and early warning systems to support sales performance and decision-making. Collaborate with engineering, sales operations ...

research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor. Job responsibilities: Lead the deployment and scaling of advanced generative AI, agentic AI, and classical ML solutions. Design and execute enterprise-wide, reusable AI/ML frameworks and core … code tools such as Terraform. Experience in multi‐agent orchestration. Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines. Experience with agentic telemetry and evaluation services. #J-18808-Ljbffr ...

research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor. Job responsibilities Lead the deployment and scaling of advanced generative AI, agentic AI, and classical ML solutions. Design and execute enterprise‐wide, reusable AI/ML frameworks and core … code tools such as Terraform. Experience in multi‐agent orchestration. Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines. Experience with agentic telemetry and evaluation services. We recognize that our people are our strength and the diverse talents they bring ...

architecture for data‐science‐enabled applications, ensuring solutions are maintainable, supportable, observable and easy to operate. Productionise delivery with DevOps and MLOps, automating deployment in AWS and putting evaluation, monitoring and provider‐routing controls in place so AI outputs remain reliable and cost‐effective. Scale practical AI adoption Design … LLMs Strong SQL for analytical and production use, ideally PostgreSQL, including complex joins, CTEs and aggregation AWS: EC2, ECS, S3; DevOps and automated deployment Git version control Ideally experience with OpenWebUI, LiteLLM, MCP tools and/or Claude Code Key competencies & experience Significant hands‐on experience as an Applied ...

ensuring they are applied to the Cloud hosted environment. In addition, the role will act as a central point of expertise for SRE automation across the Platform Operations team. Essential Job Functions: Responsible for driving the implementation of SRE methodologies, collaborating closely with other infrastructure teams to optimize infrastructure … deployment processes, focusing on automation and operational excellence. Drives continuous improvement in system observability, alerting, and capacity planning through the definition and implementation of SLA, SLOs & SLIs Define and enhance frameworks for Toil identification, analysis & remediation to identify opportunities to eliminate or automate remediation of recurring tasks ...

with a strong focus on designing, building and supporting enterprise-scale Azure cloud environments. Proven experience working across the Microsoft Azure ecosystem , including the deployment, management and optimisation of secure, highly available and scalable cloud infrastructure. Strong expertise in Azure Monitor , including monitoring strategy, log analytics, alerting, performance tuning … proactive incident management across cloud platforms. Extensive experience with Azure DevOps , delivering CI/CD pipelines, release automation, source control management and infrastructure deployment best practices. Advanced Infrastructure as Code (IaC) skills using Bicep or Terraform , with a track record of developing reusable, maintainable and automated Azure infrastructure ...

development Web API design, development and maintenance Database development and optimisation Infrastructure and Server Side processes Front End enhancements using JavaScript/Angular Test automation and CI/CD improvements Working directly with business users and Middle Office stakeholders to understand and deliver requirements You will play … technical discussions and solution design sessions Demonstrate completed work and new functionality to stakeholders Champion automated testing and continuous integration practices Identify opportunities for automation, simplification and platform improvements Essential Skills & Experience Expert-level Python development experience Strong experience building and maintaining Web APIs Solid understanding ...

development and maintenance \n Database development and optimisation \n Infrastructure and Server Side processes \n Front End enhancements using JavaScript/Angular \n Test automation and CI/CD improvements \n Working directly with business users and Middle Office stakeholders to understand and deliver requirements \n\n You will … solution design sessions \n Demonstrate completed work and new functionality to stakeholders \n Champion automated testing and continuous integration practices \n Identify opportunities for automation, simplification and platform improvements \n\n Essential Skills & Experience \n \n Expert-level Python development experience \n Strong experience building and maintaining Web APIs ...

data pipelines Drive towards a gold‐standard, fully automated testing suite, including unit, integration, data quality, and contract testing Embed build, test, and deployment processes into CI/CD pipelines using DevOps best practices Ensure solutions are observable and production‐ready through logging, monitoring, alerting, and resilience patterns Work … design Understanding of data quality, lineage, and observability concepts CI/CD pipeline implementation for applications, infrastructure, and data workloads Strong focus on test automation and engineering quality Ability to operate production systems, including incident support and root‐cause analysis Comfortable working across integration, data, and platform teams Able ...

views, workflows, business processes, plugins, and automated processes. Contribute throughout the software development lifecycle, including technical design, development, testing, peer reviews, documentation, and controlled deployment activities. Work collaboratively with functional specialists and system administrators to determine when configuration, custom development, or integration approaches are most appropriate. Create and maintain … standards. Desirable: Microsoft Dynamics 365 or Power Platform certifications. Experience developing using AL for Dynamics 365 Finance and Operations. Knowledge of AI capabilities and automation features within Microsoft business applications. Experience working within Agile or Scrum delivery environments. Familiarity with source control, automated deployments, and DevOps practices. Key Competencies ...

Platform Events and APIs to support seamless customer and adviser journeys Deliver high-quality software through the full development lifecycle, including design, build, testing, deployment, release and ongoing support Lead the technical design of scalable and secure Salesforce solutions across Financial Services Cloud, Service Cloud, Data 360 and Agentforce … Experience working within Agile engineering teams and modern DevOps environments Knowledge of CI/CD practices and tools such as SFDX, Git and automated deployment pipelines Confidence engaging with stakeholders and translating business requirements into technical solutions A collaborative approach, with a willingness to mentor and support other engineers ...

Role Overview We are seeking a Senior Developer with strong expertise in Node.js, TypeScript, PostgreSQL, and Google Cloud Platform (GCP) to build and support scalable cloud-native applications for enterprise environments. Key Responsibilities Design and ...

reliability and performance of high‐volume data systems. You'll partner closely with engineering, operational and commercial teams, taking ideas from hypothesis through to deployment, and ensuring models deliver real value once they're live. You'll join a collaborative team of data scientists, analysts and engineers, working … doing Developing and deploying machine‐learning models in production environments Working end‐to‐end across the data science lifecycle: problem definition, modelling, deployment and monitoring Analysing new and existing data sources to improve decision‐making and model performance Designing feedback loops that continuously improve outcomes and data quality Collaborating ...

within a live production environment. You will contribute to the delivery of secure, scalable, and resilient cloud infrastructure while helping drive continuous improvement across deployment, monitoring, automation, and operational support processes. This is an opportunity to work on meaningful projects with real-world impact, while being supported … encourages innovation, technical growth, and shared success. Key responsibilities: •Support & Maintain secure Azure cloud infrastructure within a live operational environment •Develop & Deliver infrastructure improvements, automation, and cloud optimisation activities •Monitor & Resolve platform incidents, performance issues, and service requests •Collaborate & Innovate with cross-functional technical and security teams •Optimise & Automate ...

DevOps efficiency through innovation, agility and cost optimisation. Take a holistic approach to modernising the developer experience, focusing on organisational culture, DevOps practices, processes, automation and tooling. Architect scalable and resilient cloud infrastructure to ensure the seamless deployment and optimisation of containerised applications. Collaborate with cross-functional teams … implement automation strategies that reduce operational complexity and drive continuous improvement. The Requirements Strong understanding of the SRE mindset and principles, including the creation and management of Service Level Indicators (SLIs), Service Level Objectives (SLOs) and error budgets ensuring reliability and performance. Experience in implementing observability, instrumenting applications ...

from high-level functional requirements. Develop, test and deploy high-quality integration services and message flows. Configure and develop solutions using IBM MQ. Produce deployment documentation and automated deployment scripts. Create and execute unit and subsystem test plans. Support application integration and production deployments. Participate in code reviews ...

take ML models from research into reliable, production-ready systems. This is a hands-on engineering role focused on building the infrastructure, tooling and automation that enables machine learning models to be deployed, monitored and continuously improved across production environments. You'll work closely with Applied Scientists and Software … systems. The Role You'll play a key role in designing and operating the systems that underpin the ML lifecycle, including model training, deployment, serving and monitoring. As the platform continues to grow, you'll help improve reliability, scalability and automation while reducing manual operational effort. Key Responsibilities ...

Kubernetes clusters and supporting platform components. Develop Infrastructure as Code (IaC) for repeatable, automated deployments. Implement and maintain CI/CD pipelines and GitOps deployment workflows. Manage cloud networking, connectivity and platform security. Implement platform observability including logging, monitoring, metrics and distributed tracing. Automate platform provisioning, configuration management … operational tasks. Support deployment and operation of identity platform components and supporting services. Implement secure secrets management and certificate lifecycle automation. Configure service mesh technologies and secure service-to-service communication. Manage ingress, API gateways and network routing components. Implement platform resilience, backup, disaster recovery and high availability capabilities. ...

Kubernetes clusters and supporting platform components. Develop Infrastructure as Code (IaC) for repeatable, automated deployments. Implement and maintain CI/CD pipelines and GitOps deployment workflows. Manage cloud networking, connectivity and platform security. Implement platform observability including logging, monitoring, metrics and distributed tracing. Automate platform provisioning, configuration management … operational tasks. Support deployment and operation of identity platform components and supporting services. Implement secure secrets management and certificate lifecycle automation. Configure service mesh technologies and secure service-to-service communication. Manage ingress, API gateways and network routing components. Implement platform resilience, backup, disaster recovery and high availability capabilities. ...