626 to 650 of 3,604 CI/CD Jobs in London

with expertise in key data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit-Learn).Expertise in cloud technologies (emphasis on Azure and / or AWS) and deployment practices, ensuring seamless and scalable delivery. Proven ability to establish and uphold coding standards to ensure high-quality, maintainable code. … technical concepts clearly and effectively to both technical and non-technical partners. Desirable skillsWorking knowledge of DevOps practices, including code versioning, CI / CD pipelines, automated testing, and monitoring, to streamline development workflows and improve deployment reliability. What you'll get in return: High-impact ...

ability to design and implement AI-native software in production environments Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST / GraphQL) LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management Performance & observability: Skilled in debugging distributed systems, tuning … sensibility: Prioritize for user value, MVP iteration, and long-term scale DevOps fluency: Experience deploying in AWS, Azure, or GCP with CI / CD, containers, and infra-as-code Field readiness: Able to travel up to 30% to embed onsite and deliver where it matters ...

regressions. Strong understanding of modern development best practices: Continuous integration, automated testing, code review discipline, and version control workflows. Kanban and CI / CD: Comfortable with Kanban workflow, continuous integration, Jira, and rapid iteration cycles. Git and version control: Professional-grade proficiency. SQL: Ability … frameworks, load testing suites, or performance benchmarking systems. Capital markets knowledge: Familiarity with exchange technology, FIX protocols, market data formats, or trading workflows. Docker / containerization basics: Growing relevance for deployment and testing. QuestDB or Dolt: Time-series or version-controlled database experience. Mindset and Methodology Operational mindset ...

delivering microservices, APIs, integrations and distributed systems, balancing performance, resilience, security and maintainability. Strong DevOps and operational engineering capability, including CI / CD, automated testing, release practices and production support. Experience building and operating containerised services, with knowledge of Kubernetes, Docker and modern cloud deployment ...

with Python including API integrations and workflow automation. Experience building and maintaining security capabilities in public cloud environments, with practical expertise in AWS and / or Microsoft Azure. Knowledge of modern DevSecOps practices, including Infrastructure-as-Code, source control, CI / CD pipelines, automated ...

Service Level Objectives (SLOs) and error budgets in a pragmatic and user-focused way. Support the development and continual improvement of CI / CD pipelines to enable safe, frequent and low-risk delivery of changes. Oversee live service reliability, supporting teams through incident and problem ...

highly desirable! Working at a technology consultancy Working with Docker and virtual environments as part of the development and CI / CD process. Working with senior stakeholders to gather requirements and keep them engaged with Experience in working with a team of engineers using ...

solid user workflows that ensure a seamless and intuitive user experience Experience building high-quality software in a fast-paced CI / CD development environment Ability to work collaboratively in teams of technical and non-technical individuals and understand how technical decisions impact the people ...

secure customer deployments. Essential experienceAt least three years of commercial full stack development experience. Strong Python development skills. Commercial experience using Django and / or Flask. Front-end development experience using HTML5, CSS and JavaScript. Experience integrating different software applications, APIs or customer systems. Experience developing integrated workflows … NoSQL databases such as MongoDB.Experience delivering reliable, production-quality software. Strong software engineering practices, including Git, automated testing, code reviews and CI / CD.The ability to understand customer requirements and translate them into practical technical solutions. Excellent analytical, problem-solving and communication skills. Desirable experienceData-lake ...

frameworks. Cost & Efficiency: Lead infrastructure consolidation initiatives and monitor cloud expenditure to identify strategic cost-saving opportunities. Requirements: Leadership Experience: 8+ years in DevOps / Infrastructure with 3+ years in a management role. Proven Track Record: Experience scaling DevOps teams in fast-paced, high-growth tech environments. Kubernetes Expertise … architecture. Observability: Solid experience with observability tools for metrics, logging, and tracing. Security Mindset: Practical experience implementing security best practices within CI / CD. Communication: Ability to articulate complex technical concepts to non-technical stakeholders. Strategic Mindset: Balanced approach between long-term strategy and hands-on problem ...

cloud native architecture and principles. Optimise cost of cloud solutions by identifying waste and automating cloud cost management and autoscalingSupport DevOps team with CICD automationSupport application development teams in negotiating governance, privacy gates, compliance and risk analysis. Ability to lead production issue RCA and resolutionWork with Product Owners and Business … quality of service requirements implementation for availability, recovery, reusability, performance, maintainability, security, capacity, and compatibility. Partner with Solution Architects to produce where required: Domain / business logic model designInteroperability design such as API and MessagingData model designPartner with the Infrastructure team to produce physical architecture designs. Pair design with ...

native microservice architecture applications leveraging the latest technologies and the best industry practices. Design, estimate costs for and implement technical solutions written in Java / Kotlin Write unit, component, integration, end-to-end & performance tests Support the products you've built through their entire life cycle, including production … enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation / refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve ...

native microservice architecture applications leveraging the latest technologies and the best industry practices. Design, estimate costs for and implement technical solutions written in Java / KotlinWrite unit, component, integration, end-to-end & performance testsSupport the products you've built through their entire life cycle, including production and incident managementLeverages … enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation / refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve ...

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 … reuse of effective patterns across the team. Establishes clear “where AI helps / where it must not” guardrails for the SDLC (design, coding, testing, deployment, operations), ensuring sensitive data handling and secure engineering practices are consistently applied. Implements a repeatable AI-assisted review workflow (PR checklist, quality gates ...

governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test acceleration, release readiness, incident / root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse … proven patterns and automation within the SDLC / TLM toolchain. Establishes an enterprise-aligned operating model for AI-assisted engineering across teams (approved use cases, guardrails, RACI, auditability), ensuring consistent adoption that improves throughput and quality without increasing risk. Defines and enforces measurable validation standards for AI-assisted changes ...

experience in the DevOps field or as a Software Engineer Programming Skills: Proficiency in Python, Java, or Go programming languages CI / CD Expertise: In-depth knowledge of CI / CD tools and processes Tech Enthusiasm: Strong passion for technology … continuously learn Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts Bonus Points If You Have: Start-Up / Scale-Up Experience: Previous experience working in a start-up or scale-up environment Containerisation / Virtualisation Expertise: Proficiency with technologies such as Terraform ...

connecting Salesforce with upstream and downstream platforms to enable joined‐up client journeys and high‐quality, trusted data. Drive DevOps maturity—CI / CD pipelines, automated testing, and release management to accelerate delivery and reduce risk. Deliver proof‐of‐value and proof‐of‐concept builds … including Apex, Lightning Web Components, Flows, and declarative configuration. Salesforce Certified Platform Developer I as a minimum; Platform Developer II, Application Architect, or System / Technical Architect certifications are highly desirable. Strong integration experience using REST / SOAP APIs, event‐driven patterns, and middleware such as MuleSoft ...

/ Machine Learning Engineer – Agentic LLM Systems (Contract) We’re working with a leading tech organisation building next-generation agentic AI systems – LLMs that can plan, reason, call tools, and write / execute code. We’re hiring a Machine Learning Engineer to help design, build, and scale these … driven applications and workflowsBuild and run experiments to improve reliability, latency, cost, and success ratesContribute to evaluation frameworks, observability, and monitoring of LLM / agent performance What We’re Looking For: 4+ years’ experience in ML / AI engineering (LLMs, recommender systems, optimisation, or similar)Proven hands ...

excellence of end-to-end environments in our AWS-based cloud ecosystem. You will establish standards, build the tooling and frameworks to spin up / down environments reliably, ensure integrated post-deployment checks are executed consistently, and oversee monitoring & alerting with low noise and high fidelity. What … standards across AWS. Automate environment setup, teardown, and configuration using IaC. Integrate automated post-deployment validation and health checks into CI / CD. Build monitoring and alerting with minimal false positives. Manage and mentor DevOps engineers. Partner with Engineering, Product, and Operations teams. Ensure operational excellence ...

leading-edge technologies Foster a team culture of opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills: Proficiency in Engineering & Architecture, AI / ML, with hands-on experience designing, implementing, testing, and ensuring operational stability of large-scale enterprise data platforms Advanced skills in one or more programming languages … such as Java, Python, C / C++, or C# Practical experience delivering system design, application development, testing, and operational stability Working knowledge of relational and NoSQL databases and data lake architectures Experience developing, debugging, and maintaining code with modern programming languages and database querying languages Experience in large-scale ...

governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test acceleration, release readiness, incident / root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse … proven patterns and automation within the SDLC / TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Drive communities of practice across Software Engineering to promote ...

capability only creates value once it runs reliably in the real world. This role exists to bridge that final, critical gap—taking the AI / ML solutions developed within our Data Science team from promising prototypes to robust, scalable production systems that our teams and customers depend on every … day. Sitting within Data Science, this is at heart a hands‐on AI / ML engineering role. Your primary focus will be productionising Generative AI and agentic systems —building the APIs, tools, integrations and workflows that let LLMs, and agents operate reliably at scale. You will also support ...

Senior Software Engineer (Vue.js / TypeScript) - iGaming Edinburgh, Leeds, Manchester or London Working at CreateFuture CreateFuture is anAI-native consulting partnerwhere people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital … paid learning and development. Join us on our journey. Let’s create tomorrow, together, today. About the role and team: Senior Frontend (Vue.js / Typescript) Build software that matters. Shape the future of engineering. We're looking for an experienced Senior Frontend Engineer who is passionate about building scalable ...

promote new and leading-edge technologiesFoster a team culture of opportunity, inclusion, and respectRequired Qualifications, Capabilities, and Skills: Proficiency in Engineering & Architecture, AI / ML, with hands-on experience designing, implementing, testing, and ensuring operational stability of large-scale enterprise data platformsAdvanced skills in one or more programming languages … such as Java, Python, C / C++, or C#Practical experience delivering system design, application development, testing, and operational stabilityWorking knowledge of relational and NoSQL databases and data lake architecturesExperience developing, debugging, and maintaining code with modern programming languages and database querying languagesExperience in large-scale data processing, microservices ...

governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test acceleration, release readiness, incident / root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse … proven patterns and automation within the SDLC / TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Drive communities of practice across Software Engineering to promote ...