451 to 475 of 2,388 DevOps Jobs in London

unsupervised ML, and LLMs Experience with deployment tools and processes, such as Azure Data Factory (ADF), Azure ML and batch processing Experience using DevOps or equivalent agile development environments 4+ years’ experience leading clients through complex technical projects — you know how to navigate challenges, keep things on track, hit deadlines ...

experience leading complex enterprise application landscapes and driving large-scale technology transformation initiatives Strong knowledge of software architecture, system integration, API design, application security, DevOps, CI/CD pipelines, and engineering best practices Experience working within Front Office, Asset Management, Capital Markets, Investment Management, or related financial services domains Demonstrated ...

development initiatives, contributing to bids and proposals. Business Analysis experience and stakeholder engagement skills. Security - ISO 27001, GDPR, PCI DSS, IDAM, DevSecOps Agile - SAFe, DevOps, Scrum Collaboration - Stakeholder Engagement, Governance, Team Mentoring Business - Business Analysis, Bid Support, Multi-sector Delivery Upon employment, employees should also have a sound awareness ...

experience leading complex enterprise application landscapes and driving large-scale technology transformation initiatives Strong knowledge of software architecture, system integration, API design, application security, DevOps, CI/CD pipelines, and engineering best practices Experience working within Front Office, Asset Management, Capital Markets, Investment Management, or related financial services domains Demonstrated ...

Identify potential performance bottlenecks and contribute to overall platform optimisation. This role is ideal for you if you possess Experience in Cloud Infrastructure Engineering, DevOps, or a similar field. Strong experience with AWS services and containerised applications Strong experience operating operational data stores (Aurora MySQL, DynamoDB). Expertise in using ...

Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI. We operate as a collaborative and inclusive organisation that empowers our people to take ownership, innovate, and develop their expertise. As an equal ...

else built. Deep AWS expertise: you have designed cost-efficient, production-grade cloud architectures and you can defend every line of your Terraform. Strong DevOps and platform engineering fundamentals: Kubernetes, CI/CD, observability stacks, IaC, and the judgement to know when to use each. Experience treating internal engineers ...

grounding in statistical methodologies, along with data extraction, manipulation and feature engineering techniquesExperience with Spark, agile delivery methods and CI/CD practicesFamiliarity with DevOps and MLOps tools and practices, such as Docker, Terraform and MLFlowConfidence influencing and communicating with stakeholders across technical and non-technical teamsIdeally, exposure to cloud ...

engineering experience building production systems at scale Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks) Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building ...

software systems Microsoft (.NET) technical stack Strong proficiency using AI-assisted software development tools and agentic coding workflows Git-based version control and Azure DevOps knowledge is desired Microsoft Azure infrastructure and CI/CD knowledge is desired Database experience is required Familiarity with Agile development environments and code review ...

Data Engineers are expected to lead the data lifecycle from development to deployment, monitoring, incident response, performance optimisation, and deprecation in line with modern DevOps principles. Leading agile teams and supported by senior engineers, this role involves building reusable components, automating components, and embedding operational best practices to ensure that ...

Data Engineers are expected to lead the data lifecycle from development to deployment, monitoring, incident response, performance optimisation, and deprecation in line with modern DevOps principles. Leading agile teams and supported by senior engineers, this role involves building reusable components, automating components, and embedding operational best practices to ensure that ...

multi system ERP landscapes (iPaaS, Power Platform, regional integrations) and the ability to diagnose cross system issues and dependencies.Expert level proficiency in Azure DevOps (ADO) for end-to-end test governance: planning, execution tracking, defect lifecycle, analytics, and release readiness.Advanced AI enabled and automation driven testing capabilities, including:Lidana ...

statistical methodologies, along with data extraction, manipulation and feature engineering techniques Experience with Spark, agile delivery methods and CI/CD practices Familiarity with DevOps and MLOps tools and practices, such as Docker, Terraform and MLFlow Confidence influencing and communicating with stakeholders across technical and non-technical teams Ideally, exposure ...

forums. Good technology knowledge across areas such as domain‐driven design, API and event‐based architectures, microservices, event‐driven design, hybrid cloud deployment models, DevOps and CI/CD, modern data paradigms, cyber security, resilience by design, and sustainability. Sound awareness of emerging technologies, for example GenAI, including their maturity ...

/time-series databases). Software Engineering Practices: Experience in a professional software development environment (use of version control, testing frameworks, code reviews, DevOps/CI-CD pipelines) and proficiency with additional programming languages (especially Java or C++ for low‐latency systems) are plus points. You’re curious to explore ...

that matches the requirements. This will utilise the wider Microsoft stack, including Azure andDynamics 365. Our Technical Consultants also have a strong focus on DevOps practices which is essential todeliver enterprise-grade solutions.We put a lot of time and effort into the Microsoft community; we invest in doing things right ...

data centre operations. Hands-on skills with infrastructure-as-code (Terraform, ARM/Bicep), configuration management (Ansible, PowerShell DSC), CI/CD pipelines (Azure DevOps, GitHub Actions). Experience with monitoring/observability tools, alert design, and dashboarding. Commercial awareness, including experience working with vendors and partners, understanding cloud consumption ...

solid understanding of values files, templates, hooks, and chart dependencies Experience with GitLab CI or a comparable CI tool (e.g. GitHub Actions, Azure DevOps, Jenkins, CircleCI), having built or meaningfully modified pipelines rather than just used them Production experience with Python or Go, with the ability to discuss real code ...

prem data centre operations.Hands-on skills with infrastructure-as-code (Terraform, ARM/Bicep), configuration management (Ansible, PowerShell DSC), CI/CD pipelines (Azure DevOps, GitHub Actions).Experience with monitoring/observability tools, alert design, and dashboarding.Commercial awareness, including experience working with vendors and partners, understanding cloud consumption models, licensing ...

computer science fundamentals, including data structures, algorithms, concurrency, and system design. Strong understanding of modern software development practices, including CI/CD, TDD, DevOps, observability, and automated quality gates. Confident communication and collaboration skills, with the ability to articulate technical decisions, challenge assumptions, and explain complex technical concepts to both ...

write production-level Python code including automated testingExpertise in graph data science/network analyticsWeb automation technologies such as SeleniumFamiliarity with Terraform and DevOps principlesAdditional language skills #LI-KR2FTI Consulting is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, ancestry, citizenship status ...

programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data architectures. Agile and DevOps delivery methodologies applied to data platforms (DataOps). Expertise in data architecture and modelling (conceptual, logical, and physical). Familiarity with modern integration technologies ...

Web3 libraries (Web3J, Web3JS) and their application in enterprise contexts Demonstrated familiarity with Solidity and smart contract development best practices Solid understanding of DevOps principles, containerized application deployment (Docker, Kubernetes, Helm Charts), and CI/CD pipeline management Practitioner‐level command of Agile methodologies, Scrum, and scaled delivery frameworks Development ...

Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI.We operate as a collaborative and inclusive organisation that empowers our people to take ownership, innovate, and develop their expertise. As an equal opportunities ...