301 to 325 of 564 Deployment Automation Jobs in the UK

cloud platforms from its Cambridge, UK operations. You will work across DevOps, engineering, and platform teams to implement observability, reliability frameworks, and automated deployment practices. The role emphasizes incident response, capacity planning, and continuous improvement, with a focus on IaC, SOO principles, and cross-region resilience within a SaaS ...

coding and configuration, guiding development teams toward rapid and secure releases. The position emphasizes practical DevOps and SRE principles, with focus on testing, automation, observability, and modern runtimes. Strong collaboration across teams is essential for success. #J-18808-Ljbffr ...

cleared DevOps Engineer to design and maintain the Salesforce CI/CD ecosystem for a Public Services project. You will deliver automated build, test, deployment, and environment management pipelines to enable reliable releases from development through production. Key responsibilities include scratch-org validation, semantic-release packaging, automated environment configuration ...

data flows, and mentor peers in engineering excellence. You’ll collaborate across teams to align technical solutions with business needs and drive scalable, automated deployment and operations in a distributed environment. This role offers remote-friendly work and equity options. #J-18808-Ljbffr ...

very grown up, collaborative and flexible environment offering fantastic career development opportunities Role Overview Drive end-to-end ML development, including pipeline building, model deployment, and ML Ops. Collaborate with cross-functional teams to integrate ML solutions into products and ensure scalable, efficient production workflows. Key Responsibilities Design, build ...

with both technical and non-technical stakeholders. Knowledge of Fixed Income markets, electronic trading or quantitative finance would be highly beneficial. Exposure to automated deployment pipelines, CI/CD tooling or modern engineering practices is advantageous. The Package: £1,100-£1,200 Per Day Rate (Via Umbrella) Long-term ...

growing demands. Own NFRs and develop tooling for observability, security, resilience, infrastructure management and operations excellence. Build and maintain scalable infrastructure to support the deployment and operation of large-scale AI platforms and apps. Build strong cross-functional relationships that foster engagements across the organization and deliver solutions … automated testing, and secure coding standards Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills ...

master data strategies and analytics ecosystems. Architect cloud-native data platforms—particularly Snowflake—covering performance, workload management, security, access controls, cost governance, multi-environment deployment, data sharing, replication and disaster recovery. Define scalable batch, real-time, event-driven, API, orchestration and ELT/ETL integration patterns using modern data … based on business and technical requirements. Advanced experience with dbt and enterprise-scale modern data stack architectures, including framework design, governance, testing, documentation and deployment standards. Ability to establish DataOps practices that improve automation, quality and observability across data pipelines. Software Engineering & DevOps Strong software engineering background, with ...

based SaaS platforms. Working as part of the UK Platform Operations team, you will be responsible for platform availability, incident management, application deployments, monitoring, automation and technical troubleshooting across our production environments. This role sits at the intersection of Platform Operations, DevOps and Application Support, requiring someone … Support teams to deliver secure, scalable and highly available services. The ideal candidate will have strong Azure and cloud operations experience, a passion for automation, and the ability to troubleshoot issues across applications, infrastructure, databases and authentication services. How You’ll Contribute Monitor and support production SaaS platforms ...

across Microsoft Azure and the wider Microsoft ecosystem. Combining strong technical delivery skills with a consulting mindset, you will help customers modernise platforms, improve deployment and automation practices, and enhance solution quality through DevOps, testing, and integration capabilities. You will work closely with engineering teams, stakeholders … scalable and reliable solutions, and support successful adoption and operational readiness. This role offers the opportunity to contribute to innovative projects across cloud engineering, automation, AI, and platform transformation while continuing to build your expertise in a collaborative and forward-thinking environment. Responsibilities: Design, implement, and supportcloud-native solutions ...

analytics deployments. Automate infrastructure and data engineering processes. Monitor data pipelines, Power BI refreshes, and production environments. Troubleshoot pipeline failures, data quality issues, and deployment problems. Implement data validation, monitoring, logging, and alerting. Work with development, analytics, and business teams to understand requirements. Follow DevOps and DataOps best practices … around version control, automation, testing, and release management. Support continuous improvement of data platforms and reporting solutions. Mandatory: Strong hands-on Power BI experience. Strong hands-on experience with native AWS services . Experience in Data Engineering/DataOps . Experience building ETL/ELT data pipelines . Experience ...

networking, security, and identity management. Infrastructure as Code (IaC): Develop, maintain, and optimize cloud infrastructure using IaC tools such as Terraform, CloudFormation (AWS), and Deployment Manager (GCP). Create reusable modules and blueprints to standardize deployments. Automation & Orchestration: Automate the provisioning, configuration, and management of cloud resources ...

developing, and deploying high-quality software solutions that meet our clients' needs. In addition, the candidate will be responsible for ensuring that our software deployment process is efficient and reliable. Key Responsibilities: Design, develop, and deploy high-quality software solutions using .NET technologies. Collaborate with other team members … define software requirements and develop project plans. Build and maintain automated deployment pipelines using DevOps tools and technologies. Implement best practices for software development, including coding standards, code reviews, and automated testing. Troubleshoot and resolve issues with deployed software applications. Continuously improve the software development and deployment processes. ...

with tools and enterprise data via structured interfaces is a plus. Job Responsibilities Design, develop, and deploy GenAI and Agentic AI solutions that improve automation, decision-making, and user experience across business workflows. Build LLM/SLM-powered applications including RAG-based systems, summarization/extraction pipelines, chat/… processing workflows required for ML/GenAI use cases using cloud services. Apply MLOps practices across the lifecycle: experimentation, versioning, CI/CD, deployment, monitoring, and maintenance for models/prompts/agents. Implement robust testing (unit/integration), performance benchmarking (latency/cost), and observability (logging/metrics ...

observable and secure solutions. You will maintain awareness of industry and technology developments, contribute to technical discussions, and support continuous improvement across data engineering, automation and operational practices. The role includes ownership of work throughout its lifecycle, from development and testing through to production support, incident resolution, continuous improvement … tools such as Kiro, GitHub Copilot or equivalent technologies to improve delivery flow, quality, documentation, analysis and operational efficiency. Develop and maintain automated deployment, testing and operational workflows using GitLab pipelines, version control, Terraform/OpenTofu and scripting. Contribute to data quality, lineage, governance and observability practices to ensure ...

scalable software solutions. Build and maintain efficient, production-grade models using software engineering best practices, including CI/CD pipelines , automated testing and stable deployment processes. Develop analytics libraries and applications in Python , including APIs and microservices , to support global finance use cases. Leverage Docker, Kubernetes and cloud technologies … independently , manage time effectively and meet deadlines in a fast-paced environment. Nice to have Understanding of financial markets and products . Experience with automation tools and additional scripting languages. Why join ADA? Work on high-impact, global finance initiatives with a varied and innovative book of work. ...

Platform engineering and market expansion*** Evolve and simplify platform components to improve reliability, maintainability, scalability and cost efficiency.* Build infrastructure-as-code and automated deployment patterns for consistent, repeatable environments.* Lead practical containerisation and modernisation initiatives, including Kubernetes where appropriate.* Adapt and deploy platform capabilities for specialist projects … with version control and team collaboration tools such as GitHub and Jira.* Curiosity, good judgement and a willingness to learn, including responsible use of automation and AI-assisted tools. **Experience*** Hands-on experience operating and troubleshooting production workloads in AWS.* A good understanding of Linux systems, Networking principles ...

trusted, well-modelled datasets and semantic models that enable self-service BI, regulatory reporting and data-driven decision making. Champion DataOps & DevOps - Develop automated deployment pipelines, CI/CD processes and engineering standards using Azure DevOps and Git-based development practices. Drive Data Quality & Governance - Implement controls, monitoring, lineage …/ETL design, Delta Lake principles, data quality frameworks and modern engineering best practices. Cloud & DevOps Capability - You have experience with Azure services, automation, CI/CD pipelines and Infrastructure as Code approaches. Collaborative Mindset - You enjoy working with technical and non‐technical stakeholders, building strong relationships and delivering ...

environments Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring engineers through design reviews, code reviews, pairing, debugging, and hands … reviews, technical design reviews, automated testing, observability, monitoring, and operational excellence Champion machine learning operations practices including model lifecycle management, prompt versioning, automated evaluation, deployment pipelines, monitoring, and continuous improvement Partner with product managers, data scientists, machine learning engineers, engineering leaders, and business stakeholders to translate strategic priorities into ...

At Permutable, we're building real-time AI systems that transform large volumes of global news, market and proprietary data into market intelligence and systematic signals for financial institutions. We're evolving our technology towards ...

Engineer in Test Department Engineering Reports To: Lead Test Engineer Location: Oxford, UK Responsibilities Enhance and extend the existing Python/Selenium/Behave automation framework. Evaluate and introduce improvements to increase the test framework reliability, maintainability and execution speed. Refactor and optimise existing automated tests for stability … maintainability. Increase automation coverage to reduce reliance on manual testing. Develop reusable automation utilities and libraries. Implement coding standards and best practices for automation. Maintain comprehensive documentation for the automation framework. Training and mentoring junior members of the team. Promote automation-first thinking within the testing ...

shipping individual use cases to running multiple production platforms and the production tail of new use cases, you will set the engineering standard for deployment, scalability, security, and reliability, and lead the practices that keep our services running. This is a Senior VP-level role and an integral part … Tech AIML team, reporting to the Head of AI, IPB Tech. Job responsibilities Owns the design and build of the team's platform: deployment pipelines, model serving, containerisation, orchestration, and environment management Sets the standard for reliability, observability, and operational excellence across the team's production AI/ ...

strategic direction of the Intelligence & Insights leadership team, you will be responsible for turning ambition into delivery--establishing the platforms, engineering standards, operating practices, automation and service disciplines required to provide reliable, scalable and efficient analytical services.You will lead a modern DataOps capability that enables analysts and Data Scientists … shape and mature the DataOps capability supporting analytics across South East and South West London, bringing together Data Engineering, Data Science, platform engineering, automation, data quality, orchestration and MLOps into a coherent and increasingly integrated service. Working across Microsoft Fabric, Snowflake and the wider Azure ecosystem, you will influence ...

prepare data (including unstructured/Legacy sources) for AI consumption. - DevOps/Continuous Delivery (Practitioner) - CI/CD pipelines, infrastructure-as-code, and automated deployment for AI workloads specifically (not just conventional web services). - Testing & Evaluation (Practitioner) - beyond conventional unit/integration testing, building evaluation harnesses …/LlamaIndex-style tooling, multi-agent patterns) - Prompt engineering and systematic evaluation/guardrail tooling (hallucination detection, safety testing) - LLMOps/MLOps - model versioning, deployment, monitoring, and rollback for AI services in production - Cloud-native engineering across major providers (AWS, Azure, or GCP), including their AI/ML tooling ...

integration-heavy solutions for UK, Europe, and APAC clients. You’ll work across the stack with a focus on data ingestion, custom integrations, and deployment automation within a hybrid London office. You’ll collaborate with Solution Architects, Project Managers, and distributed engineering teams, leveraging Python, APIs, Java ...