Top DevOps Jobs in London

Lead technical direction and delivery of large-scale AI/ML platforms. Architect microservices and shared libraries, align ML, data science and DevOps, coach distributed engineers, define production readiness, and drive hiring and standards across software engineering.

Lead Hansen's shift to AI-first engineering by defining AI-enabled workflows, building prototypes, implementing tools like Copilot and Claude Code, coaching teams, establishing governance and metrics, and scaling adoption to improve developer productivity, delivery speed, and software quality.

The Sales Engineering Manager leads a team of Sales Engineers, driving customer success by managing technical evaluations and presentations while collaborating closely with sales teams.

The Senior Research Engineer will develop and deliver scalable ML solutions, collaborate with teams, and apply innovative technologies in AI to impact professionals in legal and accounting fields.

Lead design and delivery of secure, scalable AI solutions across enterprise programmes. Define AI architectures, governance, Responsible AI, and reusable patterns. Provide architectural oversight, support presales and discovery, build prototypes and accelerators, and guide delivery teams from discovery to production and ongoing model management.

Work with traders and analysts to build scalable Python services and APIs, develop supply/demand models, market data analysis, real-time analytics, visualizations, and workflow automation for the front-office platform.

Lead developer enablement for Infrastructure & Operations by defining enablement strategy, designing persona-based curricula, running in-person SME-led workshops, producing developer-facing content, embedding with app teams during cloud migrations, measuring adoption outcomes, and continuously improving enablement to drive independent platform adoption.

Lead QA activities for a high-performance exchange platform: design and execute risk-based functional, integration, regression and release tests; define test strategy and automation; collaborate with Dev, DevOps, SRE and BAs to improve quality and automation coverage.

Lead and manage architects across Scalable Tech to provide architectural oversight, governance, and direction for cloud and on-premise platforms. Shape enterprise architecture input, embed best practice, support delivery teams, promote reuse and technical excellence, and drive alignment across engineering, product and delivery stakeholders for large-scale genomics platforms.

Plan, coordinate, and execute Operational Acceptance Testing (OAT) to validate production readiness. Define and run operational test scenarios (monitoring, alerts, backup/restore, failover, batch/restarts, soak testing), manage defects and evidence, support root cause analysis, coordinate retesting, maintain OAT documentation, mentor junior testers, and collaborate with DevOps, infrastructure, service management, and stakeholders for release readiness and operational sign-off.

Lead a group of Compliance, Audit & Privacy products, define roadmaps, coach Product Owners, ensure secure, compliant AI-ready data platforms, oversee multi-product delivery, drive KPIs, budgets, and cross-functional integration to realise business value.

Design, build and productionise machine learning models end-to-end within cross-functional teams. Lead architectural decisions, mentor engineers, create ML tooling and frameworks, and partner with stakeholders to deliver impactful data products at scale.

Designs and leads enterprise ServiceNow implementations across ITSM, ITOM, HRSD, SecOps, GRC, and SPM. Responsibilities include platform architecture, scripting, workflow automation, integrations, CMDB design, security configuration, end-to-end delivery, Agile collaboration, audit support, and deployment in regulated environments. The role also provides technical leadership, ensures platform quality, and communicates effectively with stakeholders.

Design, build and maintain scalable, secure software solutions. Collaborate with product and engineering teams, influence architecture, implement CI/CD and DevOps practices, mentor engineers, and support microservices, APIs and cloud-native platforms.

Lead CRM strategy, roadmap and adoption for Microsoft Dynamics across a national professional services firm. Act as primary business interface, translate use cases into prioritised user stories, drive training/change programs, monitor adoption and data quality, oversee migrations and DevOps delivery with IT and vendors, and enable reporting to support marketing, BD and leadership.

Lead modernization of the digital workplace across Microsoft 365 E5 and endpoint ecosystems. Design and operate Entra ID, Intune, Defender, Purview, Teams, SharePoint and device management. Build automation, IaC, Power Platform solutions, Power BI reporting and Copilot Studio agents. Drive Copilot adoption, ensure AI governance and compliance, provide third-line support, root-cause analysis and technical leadership to improve user experience and operational consistency.

Lead and scale a data engineering/platform team to consolidate legacy pipelines into a governed, scalable Data Hub. Own sprint delivery, architecture, DevOps/GitOps practices, reliability, cross-team coordination, hiring, and vendor relationships to enable enterprise data foundation and AI/ML capabilities.

Lead growth-focused product marketing for developer tools: design and run funnel experiments, build GTM and messaging for new products, develop channel strategies, extract insights from analytics and research, and work cross-functionally to prioritize hypotheses and move experiments to production to acquire and activate developer audiences.

The Technology Assurance Specialist evaluates technology risk and performance, linking technical insights to business strategy and decision-making, and fosters collaboration across teams to enhance delivery capability and governance.

Define and architect end-to-end verification and compliance-as-code for a medical device software stack. Build scalable test infrastructure across embedded and cloud systems, integrate safety and regulatory evidence into CI/CD, lead AI-augmented test strategies, mentor engineers on TDD and automated quality gates, and collaborate with Systems and Regulatory teams to ensure IEC 62304 and ISO 14971 compliance.

Design, build, and operate scalable cloud-native SaaS products using full-stack engineering practices. Drive platform modernization, API-first architecture, microservices, testing, deployment, and engineering excellence. Partner with Product and Design to solve customer problems, contribute to technical strategy, mentor engineers, and promote modern DevOps, CI/CD, observability, and automation practices.

Lead delivery and iteration for Core Services by translating strategy into prioritized backlogs, working embedded with engineering to ship incremental platform capabilities (IAM, APIs, integrations), conduct frequent customer validation, measure outcomes, and ensure reliability, security, and operational readiness.

Serve as a technical pre-sales advisor for PostgreSQL solutions across EMEA: qualify opportunities, lead discovery, design solutions, deliver demos/workshops, support migrations, respond to RFPs, and collaborate with sales, product, and marketing to drive adoption and enablement.

Technical lead for Privileged Access Management (PAM) with deep CyberArk expertise. Design, implement, operate, and maintain CyberArk components integrated with Entra ID, Active Directory, and Okta; enforce least-privilege and JIT access; manage credential rotation, secrets for DevOps/Kubernetes, EPM, DR/backups, SIEM integration, and automation via PowerShell and REST APIs. Align PAM with Zero Trust and support audit/compliance and identity governance.

Own the full enterprise sales cycle for Coders AI-focused developer platform: prospect and build pipeline, run technical demos with Sales Engineers, negotiate and close deals, and manage relationships with engineering and technical stakeholders to drive adoption at large enterprises.