1 to 25 of 1,837 CI/CD Jobs in the UK

Principal Software Engineer / Senior Software Engineer / Backend / Developer / Development / C# / C#.NET / .NET Core / Azure / Cloud / CI / CD pipelines / Terraform / GitHub … / Hybrid Warwickshire / Remote / £550 – 650 per day Inside IR35. One of our leading clients is looking to recruit a Principal Software Engineer. Location – Hybrid – Warwickshire / Remote (couple of days per month in the office) Duration – 6 months Day Rate ...

colleagues, and communities thrive in an ever-changing world. Role Summary We are seeking an AI Architect with deep hands-on experience in AI / ML and Generative AI to design and govern end‐to‐end solutions across application, data, and infrastructure layers. The Architect will own reference architectures … lead solution shaping , and ensure responsible AI practices across discovery, build, and run—covering LLM / RAG , agentic AI , LLMOps / MLOps , and cloud-native delivery. Key Responsibilities: Architecture & Design Define and evolve reference architectures for AI-powered solutions spanning data ingestion → model orchestration → inference services → application integrations ...

plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement / Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client … learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate / lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI / RFPs, bids, and presentations across public and private sectors. ...

Permanent Opportunity for an Enhanced DV Cleared Data Scientist / AI Engineer in Manchester. Must have active enhanced DV Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Manchester Skills required in machine learning … GenAI, NLP, Customer Engagement / Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting ...

Permanent Opportunity for an Enhanced DV Cleared Data Scientist / AI Engineer in Cheltenham. Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine … learning, GenAI, NLP, Customer Engagement / Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology ...

Permanent Opportunity for an Enhanced DV Cleared Data Scientist / AI Engineer in Central London. Must have active enhanced DV Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required … machine learning, GenAI, NLP, Customer Engagement / Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader ...

experience to help product teams improve how software is built, secured and delivered. You will work closely with engineers to strengthen CI / CD pipelines, cloud-native services, testing practices and observability , enabling teams to deliver smaller, safer changes more frequently. The role is hands … will support engineering teams by improving the systems and practices that underpin reliable software delivery. Key responsibilities include: Designing and improving CI / CD pipelines that automate build, test, security and deployment processes. Supporting teams to adopt modern development practices such as trunk-based development ...

Role / Job title: DevOps Engineer Mode of working Hybrid / office based: Office (Wokingham) The Role We are looking for an experienced Azure .NET and React Full Stack Developer with strong automation skills to join our fast-growing team. The ideal candidate will design, implement, and maintain … services using .NET Core, C#, Entity Framework, and frontend applications using React. Build and deploy applications using Azure DevOps and implement CI / CD pipelines. Work extensively with Azure services including: o AKS, App Service o Azure SQL Database, Azure Storage (Blob, Queues, Tables ...

Role Details Role / Job Title: Solution Architect Work Location: London Role Type: Contracting Office Requirement: 1 day in office Role Overview We are seeking an experienced Solution Architect to lead the design and governance of large-scale, enterprise cloud platforms built on AWS . This role requires deep … technical expertise in AWS architecture, Infrastructure as Code (Terraform), CI / CD pipelines, and Python-based automation , combined with strong enterprise architecture, security, and stakeholder leadership skills. The successful candidate will define enterprise cloud strategy, establish architectural standards, and ensure consistent, secure, and scalable solution ...

regulated FS Azure AI Studio, Azure AI Search, Fabric, Document Intelligence AWS Bedrock & SageMaker pattern experience FastAPI, Kubernetes, Docker, CI / CD (ADO / GitHub / GitLab) Secure landing zones, policy-driven cloud governance, FinOps Vector, Data & Integration Azure Vector Search, pgvector, Redis … first architecture Model telemetry, audit trails, Purview lineage, encrypted data pipelines Applications for Financial Services, CMT, Hi-Tech, Retail Industries Fraud, risk, AML / KYC, surveillance, credit-adjacent intelligence Evaluation harnesses, prompt libraries, embedding pipelines Stats 60M Digital Transformation Program Led end-to-end architecture and delivery for omni ...

doing The Lead Dev Ops Engineer is accountable for the Azure platform, infrastructure-as-code (IaC) and the delivery system (CI / CD standards, templates and controls) that enables Birketts squads to deliver to Azure quickly, safely and consistently. You will establish and maintain … integrity Establish and maintain Terraform as the authoritative mechanism for platform and environment provisioning and change control Design and maintain reusable IaC modules / patterns; implement safe change practices (review, validation, controlled applies) Reduce drift and improve environment repeatability across dev / QA / prod Delivery system ...

influence: you will design systems, implement tooling, measure productivity gaps, and drive adoption of better practices across the engineering organisation. Requirements CI / CD Infrastructure & Tooling Own and operate CI / CD systems (GitHub Actions, runners, caching, artifact storage). … Maintain stability, scalability, and cost-effectiveness of pipelines. Build and maintain systems for our monorepo. Ensure CI / CD observability, with metrics flowing into Datadog / Slack. Pipeline Instrumentation & Optimisation Analyse pipelines for inefficiencies (e.g., flaky tests, redundant steps, lack of caching). Recommend ...

lead teams through ambiguity to predictable, high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL / ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI / CD … plan-including sizing, sprint planning, and risk mitigation. Drive performance optimization (e.g., partitioning strategies, Glue job tuning, job bookmarks, dynamic frames vs DataFrames, retry / backoff strategies in Airflow). Ensure robust observability (logging, metrics, tracing) and data quality (unit tests, Great Expectations / Deequ-style checks, validations ...

lead teams through ambiguity to predictable, high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL / ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI / CD … plan-including sizing, sprint planning, and risk mitigation. Drive performance optimization (e.g., partitioning strategies, Glue job tuning, job bookmarks, dynamic frames vs DataFrames, retry / backoff strategies in Airflow). Ensure robust observability (logging, metrics, tracing) and data quality (unit tests, Great Expectations / Deequ-style checks, validations ...

lead teams through ambiguity to predictable, high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL / ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI / CD … plan-including sizing, sprint planning, and risk mitigation. Drive performance optimization (e.g., partitioning strategies, Glue job tuning, job bookmarks, dynamic frames vs DataFrames, retry / backoff strategies in Airflow). Ensure robust observability (logging, metrics, tracing) and data quality (unit tests, Great Expectations / Deequ-style checks, validations ...

lead teams through ambiguity to predictable, high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL / ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI / CD … plan-including sizing, sprint planning, and risk mitigation. Drive performance optimization (e.g., partitioning strategies, Glue job tuning, job bookmarks, dynamic frames vs DataFrames, retry / backoff strategies in Airflow). Ensure robust observability (logging, metrics, tracing) and data quality (unit tests, Great Expectations / Deequ-style checks, validations ...

lead teams through ambiguity to predictable, high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL / ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI / CD … plan-including sizing, sprint planning, and risk mitigation. Drive performance optimization (e.g., partitioning strategies, Glue job tuning, job bookmarks, dynamic frames vs DataFrames, retry / backoff strategies in Airflow). Ensure robust observability (logging, metrics, tracing) and data quality (unit tests, Great Expectations / Deequ-style checks, validations ...

lead teams through ambiguity to predictable, high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL / ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI / CD … plan-including sizing, sprint planning, and risk mitigation. Drive performance optimization (e.g., partitioning strategies, Glue job tuning, job bookmarks, dynamic frames vs DataFrames, retry / backoff strategies in Airflow). Ensure robust observability (logging, metrics, tracing) and data quality (unit tests, Great Expectations / Deequ-style checks, validations ...

lead teams through ambiguity to predictable, high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL / ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI / CD … plan-including sizing, sprint planning, and risk mitigation. Drive performance optimization (e.g., partitioning strategies, Glue job tuning, job bookmarks, dynamic frames vs DataFrames, retry / backoff strategies in Airflow). Ensure robust observability (logging, metrics, tracing) and data quality (unit tests, Great Expectations / Deequ-style checks, validations ...

lead teams through ambiguity to predictable, high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL / ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI / CD … plan-including sizing, sprint planning, and risk mitigation. Drive performance optimization (e.g., partitioning strategies, Glue job tuning, job bookmarks, dynamic frames vs DataFrames, retry / backoff strategies in Airflow). Ensure robust observability (logging, metrics, tracing) and data quality (unit tests, Great Expectations / Deequ-style checks, validations ...

lead teams through ambiguity to predictable, high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL / ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI / CD … plan-including sizing, sprint planning, and risk mitigation. Drive performance optimization (e.g., partitioning strategies, Glue job tuning, job bookmarks, dynamic frames vs DataFrames, retry / backoff strategies in Airflow). Ensure robust observability (logging, metrics, tracing) and data quality (unit tests, Great Expectations / Deequ-style checks, validations ...

lead teams through ambiguity to predictable, high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL / ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI / CD … plan-including sizing, sprint planning, and risk mitigation. Drive performance optimization (e.g., partitioning strategies, Glue job tuning, job bookmarks, dynamic frames vs DataFrames, retry / backoff strategies in Airflow). Ensure robust observability (logging, metrics, tracing) and data quality (unit tests, Great Expectations / Deequ-style checks, validations ...

lead teams through ambiguity to predictable, high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL / ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI / CD … plan-including sizing, sprint planning, and risk mitigation. Drive performance optimization (e.g., partitioning strategies, Glue job tuning, job bookmarks, dynamic frames vs DataFrames, retry / backoff strategies in Airflow). Ensure robust observability (logging, metrics, tracing) and data quality (unit tests, Great Expectations / Deequ-style checks, validations ...

lead teams through ambiguity to predictable, high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL / ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI / CD … plan-including sizing, sprint planning, and risk mitigation. Drive performance optimization (e.g., partitioning strategies, Glue job tuning, job bookmarks, dynamic frames vs DataFrames, retry / backoff strategies in Airflow). Ensure robust observability (logging, metrics, tracing) and data quality (unit tests, Great Expectations / Deequ-style checks, validations ...

lead teams through ambiguity to predictable, high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL / ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI / CD … plan-including sizing, sprint planning, and risk mitigation. Drive performance optimization (e.g., partitioning strategies, Glue job tuning, job bookmarks, dynamic frames vs DataFrames, retry / backoff strategies in Airflow). Ensure robust observability (logging, metrics, tracing) and data quality (unit tests, Great Expectations / Deequ-style checks, validations ...