226 to 250 of 425 Deployment Automation Jobs in London

large-scale model development.Implement and manage Machine Learning experiment-tracking and model-registry infrastructure.Optimise models for production using inference acceleration, quantisation and pruning.Build containerised deployment pipelines for cloud, x86 and edge-device architectures.Develop and maintain CI/CD pipelines for automated testing, building and deployment.Manage GPU-accelerated edge deployment ...

Lambda, IAM and CloudWatch. Increasingly drive and operate AWS directly through Claude Code, infrastructure-as-code and agentic tooling. Support automated deployment, monitoring, logging, cost control and observability. Apply DevOps and MLOps practices pragmatically, working with DevOps and engineering colleagues to keep systems reliable, maintainable and easy to operate. … will work under the VP/Head of Data Science, contributing hands‐on to applied AI systems, LLM workflows, agentic tools, reusable skills, internal automation and production‐ready capabilities. The environment is collaborative, pragmatic and delivery‐focused. We move quickly, share ideas openly, and value people who can turn ...

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 ...

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 ...

Senior Network Site Reliability Engineer to help strengthen the reliability, availability, and scalability of our production environment.In this role, you will focus on cloud automation, Infrastructure as Code, network reliability, and operational excellence across our AWS infrastructure. You will help improve how we deploy, operate, observe, and govern cloud … improve how we operate.Build and lead all aspects of our CI/CD pipelines (GitLab/GitHub) and provide automated solutions for IaC deployment.Implement automation and observability across infrastructure resources.Bring your own ideas for improving our infrastructure stack and implement them.Take part in our operational rotation to react ...

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 ...

Controllers and Transformation Leaders, you will help organisations reimagine the finance function by combining finance strategy, operating model transformation, process excellence, digital capabilities, data, automation and AI . You will lead the design and execution of next-generation finance operating models that improve efficiency, strengthen controls, enhance decision-making … quality. Identify control gaps, process inefficiencies and operational risks, and develop appropriate remediation strategies. Digital Finance, ERP & AI Enablement Lead the identification, design and deployment of Digital Finance, Automation, Analytics and AI-led transformation solutions. Shape business cases and implementation roadmaps for ERP modernisation, including major enterprise finance ...

Controllers and Transformation Leaders, you will help organisations reimagine the finance function by combining finance strategy, operating model transformation, process excellence, digital capabilities, data, automation and AI . You will lead the design and execution of next-generation finance operating models that improve efficiency, strengthen controls, enhance decision-making … service quality. Identify control gaps, process inefficiencies, and operational risks and develop remediation strategies. Digital Finance, ERP & AI Enablement Lead identification, design, and deployment of Digital Finance, Automation, Analytics, and AI‐led transformation solutions. Shape business cases and implementation roadmaps for ERP modernization initiatives including SAP, Oracle, Workday ...

vast storage arrays.Work closely with cross-functional teams to resolve complex technical issues, leveraging advanced diagnostic and monitoring tools.Continuously improve infrastructure by implementing automation, streamlining workflows, and driving efficiency across the technology stack.What We Are Looking For:A degree in computer science or a related technical field, combined with … practices.Strong proficiency in Python, with familiarity in other languages like Go, Rust, or C being advantageous.Practical experience with CI/CD pipelines, software deployment automation, and managing the software development lifecycle.Exceptional troubleshooting and problem-solving skills, with hands-on experience in using diagnostic and tracing tools to resolve ...

including Docker Understanding of cloud and DevOps security concepts, including access controls, secrets management, and least privilege principles Familiarity with continuous integration and continuous deployment tools such as Jenkins, GitHub Actions, or CircleCI is preferred Exposure to Infrastructure as Code tools such as Terraform or AWS CloudFormation is preferred … ethical use. Education Bachelors degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience Responsibilities Support the design, deployment, and operation of secure, scalable cloud infrastructure and DevOps platforms powering Moodys products. Drive adoption of serverless architectures and container-based platforms to modernize applications ...

including Docker Understanding of cloud and DevOps security concepts, including access controls, secrets management, and least privilege principles Familiarity with continuous integration and continuous deployment tools such as Jenkins, GitHub Actions, or CircleCI is preferred Exposure to Infrastructure as Code tools such as Terraform or AWS CloudFormation is preferred … ethical use. Education Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience Responsibilities Support the design, deployment, and operation of secure, scalable cloud infrastructure and DevOps platforms powering Moody's products. Drive adoption of serverless architectures and container-based platforms ...

including Docker Understanding of cloud and DevOps security concepts, including access controls, secrets management, and least privilege principles Familiarity with continuous integration and continuous deployment tools such as Jenkins, GitHub Actions, or CircleCI is preferred Exposure to Infrastructure as Code tools such as Terraform or AWS CloudFormation is preferred … ethical use. Education Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience Responsibilities Support the design, deployment, and operation of secure, scalable cloud infrastructure and DevOps platforms powering Moody’s products. Drive adoption of serverless architectures and container-based platforms ...

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 ...

with Kubernetes (k8s) and Containers in live, high‐availability environments. Proven experience designing and implementing CI/CD pipelines for automated build, test, and deployment workflows. Proficiency in programming languages such as Python , Go , and Bash for automation and tooling. Demonstrated ability to take ownership of engineering initiatives … OpenTelemetry . Deep understanding of Linux internals , system performance tuning, and troubleshooting. Familiarity with Aqua Security for container runtime protection. CI/CD & Automation Tooling Hands‐on experience with Harness CI/CD for secure and automated deployment workflows. Professional Attributes Excellent verbal, written, and interpersonal communication skills ...

Python. Deep knowledge of Linux operating systems and configuration-management tooling. Strong host- and network-level troubleshooting skills. Familiarity with automated builds, software deployment and CI/CD systems. Clear communication and the ability to collaborate across disciplines and locations. Desirable Experience Rust, Java, C, Go or C#. ...

Electron.js applications for cross‐platform desktop use. Experience with authentication and security best practices in API development. Familiarity with DevOps, CI/CD, and deployment automation. Understanding of cloud services and hosting solutions. This is an exciting opportunity for a passionate developer to work on cutting‐edge applications with ...

Python programmer that enjoys challenging projects in mission-critical environments. You have experience operating and managing MongoDB clusters. You are experienced with modern infrastructure deployment automations or with traditional Linux systems administration, operations, and package management. You are passionate about quality and automatic testing. Work with ...

that businessPrevious consulting experience, whether as an independent advisor or in-houseAdditional desirable but not essential experience includes:Experience of use of AI/automation to accelerate operational processesLean Six-Sigma or equivalent qualificationMBA or equivalent qualificationAt Deloitte, with respect to the heart of our inclusive culture, we value ...

infrastructure on Oracle Cloud Infrastructure (OCI). Architect scalable AI and accelerated computing solutions using Infrastructure as Code (Terraform, Ansible) and Kubernetes. Develop automated deployment frameworks for cluster provisioning, software installation, and lifecycle management. Partner with enterprise customers to design solutions that meet AI, machine learning, and high-performance … Computing (HPC) GPU Computing AI Infrastructure Machine Learning Platforms Large Language Models (LLMs) Agentic AI AI Platform Architecture Inference Serving Programming & AutomationPython Bash PowerShell Automation Frameworks Infrastructure Automation HPC TechnologiesSlurm PBS Bright Cluster Manager RDMA InfiniBand MPI Distributed File Systems Customer & ConsultingSolution Architecture Technical Consulting Pre-Sales Executive ...

across the software stack, including the multi-device test fleet, pipeline reliability, and artifact management Own the Yocto-based embedded Linux platform build and deployment, including the signed software update mechanism with rollback, hardware compatibility checks, and image integrity and authenticity Lead architecture reviews, perform proofs-of-concept … infrastructure tools, and contribute directly to codebases where high-level technical hurdles require expert intervention. Define and drive the software V&V and test automation strategy, building infrastructure for continuous validation and championing design for testability across the engineering stack Establish compliance-as-code workflows that map verification evidence ...

basis:The focus is on hosting and scaling their .NET applications, ensuring they are secure and run reliably for retail customersaround the clock. Automation is key, and tenacity and drive are major aspects of the role. You will work closely with the Head of Technology Delivery and the broader … engineering team, provisioning and operating their Azure environment, building and maintaining their deployment pipelines, and keeping the platform observable, secure, and cost-efficient.You will make active use of AI coding assistants to accelerate infrastructure and automation work. While ownership of the security posture, disaster recovery, business continuity ...

observability + AWS EKS IAM concepts to support secure, high-performance, cost-optimised systems. You will work closely with developers and SREs in an automation-first, collaborative culture. Key Responsibilities: Build and maintain robust CI/CD pipelines for automated testing, deployment, and rollouts in AWS/EKS. … value hands‐on AWS/EKS impact most). Excellent problem‐solving and troubleshooting, especially under pressure in production AWS/EKS setups. Automation‐first mindset with a passion. Growth mindset – eagerness to continuously learn, adapt to evolving AWS/EKS technologies and best practices, embrace challenges as opportunities ...

operate NLP, LLM and quantitative‐model workloads, including workloads using our in‐house GPU infrastructure. Own Software Through to Production: Take responsibility for testing, deployment, performance, monitoring and reliability rather than handing code over to a separate operations team. Automate Delivery and Infrastructure: Manage infrastructure using Pulumi or Terraform … improve automated testing and deployment through GitHub Actions. Improve Reliability and Observability: Build effective monitoring, logging, tracing and alerting across our data, service, model and agent infrastructure. What We’re Looking For 7+ years of professional experience in software engineering, backend engineering, distributed systems, platform engineering or a closely ...

technical field 5+ Years of hands-on experience in data engineering, ETL/ELT development, cloud-based data solutions, or data products for analytics, automation, or machine learning Deep expertise in AWS services, including S3, Lambda, Glue, and Snowflake Experience designing scalable and cost-efficient data architectures Proficiency … Python, including modularization and production-ready code for data transformations, automation, and workflow orchestration Expert-level SQL skills, including query optimization, performance tuning, stored procedures, and database design Experience designing and implementing scalable data pipelines with AWS Glue, Step Functions, and SQL-based transformations Strong knowledge of data modeling ...

multiple source systems into trusted, governed, and reusable data products. This is a hands-on leadership role focused on data platform engineering, data modelling, automation, and the delivery of scalable analytics capabilities that support reporting, decision-making, and future AI initiatives. Key Responsibilities Design, build, and support Azure-based … data warehouse architectures. Develop batch and near real-time data pipelines. Create reusable engineering patterns, templates, and accelerators. Implement CI/CD pipelines and deployment automation. Support data quality, governance, lineage, and metadata management. Produce technical documentation, runbooks, and knowledge-transfer materials. Collaborate with architecture, governance, and delivery teams ...