51 to 75 of 121 CI/CD Jobs in Lanarkshire

reusable solutions. Strong knowledge of software engineering, Object-Oriented Programming, SDLC best practices and technical troubleshooting. Experience with automation, deployment and CI / CD pipelines, including REST APIs, system integration and SQL / database technologies. Good working knowledge of Linux / RHEL environments … infrastructure technologies. Experience or exposure to enterprise storage, such as IBM Spectrum Scale / GPFS, distributed file systems, SAN, NAS, NFS or iSCSI, with knowledge of storage automation, monitoring or capacity management. Exposure to Docker, Kubernetes / OpenShift, AWS, Azure or Google Cloud, or enterprise storage platforms such ...

enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test strategy acceleration, incident / root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting … experienceDemonstrated expertise building production-grade backend services and data pipelines in PythonStrong command of API design principles (e.g., FastAPI), automated testing, CI / CD practices, and source control workflowsExperience designing and building data ingestion or integration pipelines at scale, with attention to data quality ...

Tech AIML team, reporting to the AIML Team Lead.Job responsibilitiesExecutes standard software solutions, design, development, and technical troubleshooting for the team's AI / ML productsBuilds and tests features of agentic AI, LLM-powered and ML applications under the direction of senior engineersWrites secure, high-quality production code … developmentAdds to the team culture of diversity, Opportunity, inclusion, and respectRequired qualifications, capabilities, and skillsFormal training or certification on AI / ML engineering concepts and applied experienceProficiency in Python and a working grasp of modern software engineering practices (testing, version control, code review)Practical exposure to machine learning ...

experience with microservices and event-driven architectures Cloud platforms (AWS, Azure or GCP) and Terraform A track record with TDD, Agile and automated build / deployment practices Practical experience with JUnit / Spock and mocking frameworks like Mockito A genuine grasp of SOLID, Design Patterns, Clean Code … confident use of CI / CD Strong communication and interpersonal skills If you're a senior Java engineer with capital markets experience looking to combine deep technical work with real leadership impact, in a business investing heavily in cloud, AI and developer experience, this role ...

will be responsible to the Head of AI, IPB Tech for the end-to-end design, build, and production delivery of priority IPB AI / ML use cases, with particular focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys.Job responsibilitiesOwns … delivery of priority IPB AI / ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impactLeads the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across international marketsSets the engineering quality ...

platform: deployment pipelines, model serving, containerisation, orchestration, and environment managementSets the standard for reliability, observability, and operational excellence across the team's production AI / ML servicesBuilds the tooling and paved paths that let AI engineers ship agentic AI and ML products safely and quicklyImplements platform-level security, secrets … Python and infrastructure-as-code, with modern software engineering practicesDeep hands-on experience with Kubernetes, containerisation, and cloud-native deployment patternsStrong CI / CD experience and a track record of building deployment and release automationExperience serving, scaling, and monitoring ML models or data-intensive services ...

deployment pipelines, model serving, containerisation, orchestration, and environment management Sets the standard for reliability, observability, and operational excellence across the team's production AI / ML services Builds the tooling and paved paths that let AI engineers ship agentic AI and ML products safely and quickly Implements platform-level … infrastructure-as-code, with modern software engineering practices Deep hands-on experience with Kubernetes, containerisation, and cloud-native deployment patterns Strong CI / CD experience and a track record of building deployment and release automation Experience serving, scaling, and monitoring ML models or data-intensive ...

understanding about the Google Cloud governance and compliance and cost managementStrong working knowledge of modern development technologies and tools such Agile, CI / CD, Git, Infrastructure as Code, Terraform and Jenkins.Google Cloud certification or equivalent technical experience in the Public Cloud.Good understanding of Agentic … SDKs and GitHub Copilot Skills.Preferred qualifications, capabilities, and skills:Good understanding of operating systems such as Windows, Linux (Redhat / Ubuntu)Good understanding of LLM and other AI / ML frameworks which can be used in AIOPS J.P. Morgan is a global leader in financial services, providing strategic ...

about the Google Cloud governance and compliance and cost management Strong working knowledge of modern development technologies and tools such Agile, CI / CD, Git, Infrastructure as Code, Terraform and Jenkins. Google Cloud certification or equivalent technical experience in the Public Cloud. Good understanding … Agentic AI SDKs and GitHub Copilot Skills. Preferred qualifications, capabilities, and skills: Good understanding of operating systems such as Windows, Linux (Redhat / Ubuntu) Good understanding of LLM and other AI / ML frameworks which can be used in AIOPS ABOUT US J.P. Morgan is a global leader ...

implementation and supportHave excellent knowledge of Infrastructure as Code and modern DevOps practices, including Terraform and CloudFormation, source control (Git), CI / CD pipelines, automation and scripting (PowerShell / Bash), configuration management, cloud identity and access management, monitoring and observability, and containerisation technologies including ...

need engineers like you to help us do it reliably, securely, and at scale.As a Software Engineer III at JPMorganChase within the AI / ML Data Platforms organization, you will be a key member of the Reliability Engineering team, contributing to the design and delivery of trusted, market-leading … technology products. You will apply your technical expertise and problem-solving skills to enhance the reliability and scalability of AI / ML platforms, build reusable services and tooling, and partner across teams to unblock high-impact AI use cases. This is an opportunity to shape how the firm delivers ...

advisors, business teams, and product partners (e.g. across Investment, Client experience, and surfacing IPB-first use cases) to discover and frame high-value AI / ML opportunitiesRapidly prototypes and builds agentic AI and LLM-powered solutions full-stack and end-to-end (backend, data, and lightweight interfaces as needed … solutions end-to-end during the engagement: problem framing, build, demo, iteration, and hand-off to productionActs as the primary technical translator between business / product stakeholders and the engineering team, shaping opportunities into funded, well-scoped workstreamsBalances speed of iteration with the team's engineering, Responsible ...

enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test strategy acceleration, incident / root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting … validating AI outputs for correctness, performance, and security.Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs / outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practiceAdvanced understanding of agile practices including CI ...

application hosting and deployment.Hands-on experience with Docker, Kubernetes and Docker Compose.Exposure to Infrastructure as Code tools such as Terraform.Experience with CI / CD platforms including GitHub, GitLab, Jenkins, or similar.Familiarity with monitoring and observability tools for AI applications and services.Database TechnologiesExperience with vector databases ...

estate, including triage, root-cause analysis, remediation, and participation in incident and problem management processesContribute to the build and maintenance of CI / CD pipelines (e.g., Jenkins) that apply infrastructure changes safely and reliablyInstrument the estate for observability using tools such as Datadog, CloudWatch … outputs and handling data according to sensitivity and security requirementsContribute to server-side development on the Spectrum Portfolio Management Fixed Income product (Java and / or Kotlin, Spring Boot) as your skills expandSupport a team culture of diversity, inclusion, opportunity, and respectRequired qualifications, capabilities, and skillsFormal training or certification ...

Basic informationLocationBristol, Edinburgh, Glasgow, London, Manchester, NewcastleBusiness LineTechnology & TransformationJob TypePermanent / FTCDate published17-Aug-2026Req #23611Job descriptionConnect to your IndustryDo you want to be at the heart of some of the biggest and most ambitious AI & Data projects Technology & Transformation: How do you make intelligent, future-proof decisions … within multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI / ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI / ...

responsible to the Head of AIML in IPB Tech for the end-to-end design, build, and production delivery of priority IPB AI / ML use cases, with particular focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys.Job responsibilitiesOwns … delivery of priority IPB AI / ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impactLeads the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across the globe.Sets the engineering quality ...

enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test strategy acceleration, incident / root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting … automation and continuous delivery methodsProficient in all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies such as CI / CD, application resiliency, and securityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile ...

enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test strategy acceleration, incident / root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting … continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI / CD, application resiliency, and security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning ...

enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test strategy acceleration, incident / root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting … Qualifications, Capabilities, and Skills:Strong software engineering fundamentals and passion for developer toolingProficiency in multiple programming languages, with emphasis on Python; familiarity with TypeScript / React and SQL for full stack developmentSolid understanding of testing, reliability, and maintainable system designDemonstrated experience leading effective use of approved AI-assisted software ...

enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test strategy acceleration, incident / root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting … automation and continuous delivery methodsProficient in all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies such as CI / CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile ...

understanding of: DevOps Fundamentals Linux System Administration Command Line and Shell Scripting Version Control with Git Software Development Lifecycle (SDLC) Continuous Integration (CI) Continuous Delivery and Continuous Deployment (CD) Infrastructure as Code (IaC) Containerisation with Docker Container Orchestration Cloud Computing Fundamentals Cloud Platforms (AWS, Microsoft Azure … Automation and Scripting Incident Management and Reliability Engineering Practical Experience You will work on realistic DevOps projects that may include: Building CI / CD pipelines Deploying applications to cloud environments Creating Infrastructure as Code templates Managing Docker containers Automating software deployment processes Configuring monitoring ...

enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test strategy acceleration, incident / root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting … automation and continuous delivery methodsProficient in all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies such as CI / CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile ...

enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test strategy acceleration, incident / root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting … automation and continuous delivery methodsProficient in all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies such as CI / CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile ...

related to data processing, model deployment, agent orchestration, and application stability.Learn and apply system processes, methodologies, and skills for secure, stable code and AI / data systems.Support production systems, including monitoring, incident response, and continuous improvement for AI and data applications.Design, develop, and integrate Agentic AI solutions into existing … models, analytics applications, or autonomous agents.Experience across the Software Development Life Cycle, including model training, deployment, and monitoring.Exposure to agile methodologies, CI / CD, application resiliency, and security best practices.Strong knowledge of software applications and technical processes within AI, machine learning, data engineering, and cloud ...