251 to 275 of 370 CI/CD Jobs in the City of London

manage infrastructure as code to improve reliability, scalability, and performance Design and implement new architectures and best practices for infrastructure and delivery Drive automation across monitoring, CI / CD, and deployment pipelines Mentor engineers and guide technical decisions within a fast-paced, cross-functional environment What you’ll bring Strong Linux administration skills (Ubuntu preferred … Hands-on experience with AWS and GCP Proficiency in Terraform, Ansible, Jenkins, or GitLab CI Knowledge of Kafka, Cassandra, and relational or NoSQL databases Scripting skills in Python, Bash, Go, or Java Familiarity with monitoring tools like Prometheus, Nagios, or Icinga Understanding of networking fundamentals and virtualisation (e.g. VMware) Comfortable with on-call rotations and troubleshooting in live More ❯

Location: London – Hybrid (2-3 days / week onsite, plus client visits). Salary: From £90,000 + bonus, negotiable. Term: Permanent / Full-time (flexible working arrangements). About the Company Our client is a next-generation Data & AI consultancy, supporting clients across data, AI, and cloud to build scalable, modern platforms while developing the next generation … Data Sharing, Native Apps, Snowpark, Data Clean Rooms, and Cortex. Track record of training and upskilling colleagues or clients in Snowflake. Recognised Snowflake certifications (SnowPro Core, SnowPro Advanced: Architect / Data Engineer). Experience optimising Snowflake performance and cost. Solid understanding of software engineering lifecycles and modern development practices (Python or similar). Experience leading multidisciplinary data teams in … Excellent communication skills with technical and non-technical stakeholders. Desirable: Experience with other modern data platforms (Databricks, Azure, AWS, GCP). Experience with platform observability and CI / CD for data platforms. Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow. Experience supporting pre-sales activities in a consultancy or product business. Why More ❯

Location: London – Hybrid (2-3 days / week onsite, plus client visits). Salary: From £90,000 + bonus, negotiable. Term: Permanent / Full-time (flexible working arrangements). About the Company Our client is a next-generation Data & AI consultancy, supporting clients across data, AI, and cloud to build scalable, modern platforms while developing the next generation … Data Sharing, Native Apps, Snowpark, Data Clean Rooms, and Cortex. Track record of training and upskilling colleagues or clients in Snowflake. Recognised Snowflake certifications (SnowPro Core, SnowPro Advanced: Architect / Data Engineer). Experience optimising Snowflake performance and cost. Solid understanding of software engineering lifecycles and modern development practices (Python or similar). Experience leading multidisciplinary data teams in … Excellent communication skills with technical and non-technical stakeholders. Desirable: Experience with other modern data platforms (Databricks, Azure, AWS, GCP). Experience with platform observability and CI / CD for data platforms. Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow. Experience supporting pre-sales activities in a consultancy or product business. Why More ❯

currently looking for a Senior or Lead Data Scientist, this will be a blend of client facing skills aka, the ability to understand business problems, create a novel models / solutions to help that client and communicate clearly with them the solution you have found, this combined with strong analytics / machine learning skills and a base understanding … from often unstructured large datasets Experience working with machine learning models. Experience with mainstream cloud platforms such as AWS, Azure, or GCP preferred An understanding of CI / CD pipelines, Docker and associated orchestration tools preferred Need to be SC clearable (5 years in the UK without leaving for longer than 3 months) and willing More ❯

currently looking for a Senior or Lead Data Scientist, this will be a blend of client facing skills aka, the ability to understand business problems, create a novel models / solutions to help that client and communicate clearly with them the solution you have found, this combined with strong analytics / machine learning skills and a base understanding … from often unstructured large datasets Experience working with machine learning models. Experience with mainstream cloud platforms such as AWS, Azure, or GCP preferred An understanding of CI / CD pipelines, Docker and associated orchestration tools preferred Need to be SC clearable (5 years in the UK without leaving for longer than 3 months) and willing More ❯

with backend development frameworks (e.g., Flask, Django) Ability to work autonomously in an early-stage environment Strong problem-solving and collaboration abilities Nice-to-haves Background in machine learning / AI frameworks (PyTorch, transformers, etc.) Familiarity with cloud infrastructure (GCP, AWS) and CI / CD (GitHub Actions) Experience with SQLAlchemy, Flask and PyQt (or More ❯

with backend development frameworks (e.g., Flask, Django) Ability to work autonomously in an early-stage environment Strong problem-solving and collaboration abilities Nice-to-haves Background in machine learning / AI frameworks (PyTorch, transformers, etc.) Familiarity with cloud infrastructure (GCP, AWS) and CI / CD (GitHub Actions) Experience with SQLAlchemy, Flask and PyQt (or More ❯

Apache Spark (PySpark). Ensure performance, scalability, and compliance (GxP and other standards). Collaborate on requirements, design, and backlog refinement. Promote engineering best practices including CI / CD, code reviews, and testing. Research and introduce new tools, technologies, and methodologies. Ideal experience: Experience with efficient, reliable data pipelines that improve time-to-insight. Knowledge … engineering excellence driven by mentoring and high-quality practices. Preferred Experience Databricks in a SaaS environment, Spark, Python, and database technologies. Event-driven and distributed systems (Kafka, AWS SNS / SQS, Java, Python). Data Governance, Data Lakehouse / Data Intelligence platforms. AI software delivery and AI data preparation. More ❯

Apache Spark (PySpark). Ensure performance, scalability, and compliance (GxP and other standards). Collaborate on requirements, design, and backlog refinement. Promote engineering best practices including CI / CD, code reviews, and testing. Research and introduce new tools, technologies, and methodologies. Ideal experience: Experience with efficient, reliable data pipelines that improve time-to-insight. Knowledge … engineering excellence driven by mentoring and high-quality practices. Preferred Experience Databricks in a SaaS environment, Spark, Python, and database technologies. Event-driven and distributed systems (Kafka, AWS SNS / SQS, Java, Python). Data Governance, Data Lakehouse / Data Intelligence platforms. AI software delivery and AI data preparation. More ❯

clean, scalable Python back-end systems Designing cloud-first solutions in AWS (Lambda, AppSync, DynamoDB) Collaborating with data, investment, and engineering teams Shaping best practices across CI / CD, DevOps, and agile development What we’re looking for: 5+ years’ experience in software engineering (3+ in Python) Needs to have experience within financial services, fintech … or investment tech! Strong AWS and data engineering experience Solid understanding of APIs, SQL / NoSQL, and modern software design A problem-solver who enjoys working closely with the business If you’re a Python engineer who loves solving complex data challenges in a collaborative, cloud-first environment — drop me a message: daniel.wexler@sourcegroupinternational.com THIS ROLE DOES NOT PROVIDE More ❯

clean, scalable Python back-end systems Designing cloud-first solutions in AWS (Lambda, AppSync, DynamoDB) Collaborating with data, investment, and engineering teams Shaping best practices across CI / CD, DevOps, and agile development What we’re looking for: 5+ years’ experience in software engineering (3+ in Python) Needs to have experience within financial services, fintech … or investment tech! Strong AWS and data engineering experience Solid understanding of APIs, SQL / NoSQL, and modern software design A problem-solver who enjoys working closely with the business If you’re a Python engineer who loves solving complex data challenges in a collaborative, cloud-first environment — drop me a message: daniel.wexler@sourcegroupinternational.com THIS ROLE DOES NOT PROVIDE More ❯

development Experience working with First-Party Data Strong SQL and Python fluency (data transformations, orchestration, automation) Familiarity with cloud ecosystems - Azure, AWS, or GCP Experience with CI / CD tools (Azure DevOps, GitHub Actions, or similar) Excellent communication skills and a structured, detail-oriented approach BSc in a related STEM degree from a top university More ❯

development Experience working with First-Party Data Strong SQL and Python fluency (data transformations, orchestration, automation) Familiarity with cloud ecosystems - Azure, AWS, or GCP Experience with CI / CD tools (Azure DevOps, GitHub Actions, or similar) Excellent communication skills and a structured, detail-oriented approach BSc in a related STEM degree from a top university More ❯

cryptography, hashing algorithms, digital signatures, and encryption techniques. Knowledge of integration with enterprise systems, APIs, cloud services, and data pipelines. Hands-on experience with DevOps, containerization, CI / CD pipelines, and cloud platforms (AWS, Azure, GCP) for blockchain deployment. Strong experience in solution architecture, technical leadership, and mentoring of engineering teams. Excellent communication, stakeholder management More ❯

cryptography, hashing algorithms, digital signatures, and encryption techniques. Knowledge of integration with enterprise systems, APIs, cloud services, and data pipelines. Hands-on experience with DevOps, containerization, CI / CD pipelines, and cloud platforms (AWS, Azure, GCP) for blockchain deployment. Strong experience in solution architecture, technical leadership, and mentoring of engineering teams. Excellent communication, stakeholder management More ❯

customer experiences. Ideal Candidate: Strong hands-on expertise with Hardware Security Modules (HSM), AWS Secrets Manager, and certificate lifecycle management (rotation, revocation, automation) Experienced with GitLab CI / CD pipelines, AWS CLI, and automation tooling (Chef or similar) Proven background in Cloud Security, with deep knowledge of: - AWS security controls, policies, and automation - Role-based More ❯

Engineering Build, deploy, and maintain ML models as services, streaming applications, or batch jobs across real-time and offline platforms. Develop scalable model APIs with strong CI / CD and observability practices. Implement model testing, monitoring, and rollback capabilities in production environments. Collaborate with Data Scientists to translate prototypes into reliable, maintainable ML applications. Identify More ❯

Engineering Build, deploy, and maintain ML models as services, streaming applications, or batch jobs across real-time and offline platforms. Develop scalable model APIs with strong CI / CD and observability practices. Implement model testing, monitoring, and rollback capabilities in production environments. Collaborate with Data Scientists to translate prototypes into reliable, maintainable ML applications. Identify More ❯

requirements. Leverage modern cloud services (AWS, Azure, or GCP) to deploy, monitor, and scale distributed systems in production environments. Establish and uphold engineering best practices, including CI / CD pipelines, automated testing, and peer code reviews, to ensure code quality, reliability, and auditability. Mentor and guide junior engineers, providing technical leadership and helping shape the … share knowledge of development experience and help junior developers continue to improve their development skills over time. Strong foundations in object-oriented programming. Location: London Hybrid work policy: 4 / 1 Please note, our client is unable to offer sponsorship for this opportunity. Finally, should you not be contacted within five working days of submitting your application, then unfortunately More ❯

requirements. Leverage modern cloud services (AWS, Azure, or GCP) to deploy, monitor, and scale distributed systems in production environments. Establish and uphold engineering best practices, including CI / CD pipelines, automated testing, and peer code reviews, to ensure code quality, reliability, and auditability. Mentor and guide junior engineers, providing technical leadership and helping shape the … share knowledge of development experience and help junior developers continue to improve their development skills over time. Strong foundations in object-oriented programming. Location: London Hybrid work policy: 4 / 1 Please note, our client is unable to offer sponsorship for this opportunity. Finally, should you not be contacted within five working days of submitting your application, then unfortunately More ❯

Platform Engineer - Data & AI Infrastructure Location: Remote / UK-based Type: Full-time You must have strong Databricks and Unity Catalog experience Skills / Approaches: Proven experience with Terraform for Azure infrastructure as code. Strong knowledge of GitHub Actions and general CI / CD principles . Hands-on experience with Azure Private Link More ❯

management during testing phases. Champion test automation, performance metrics, and quality improvements. Manage testing phases, including coordination with third-party test teams. Skills & Experience Accredited in Software Testing (ISEB / ISTQB or equivalent). Strong knowledge of test management tools such as Azure DevOps, HP ALM, or Jira. Proven experience testing CRM applications (e.g., Dynamics 365 or Siebel). … NUnit, Extent Reporting, Page Object Model). Proficiency in C#, Visual Studio, and SQL. Solid understanding of Agile (SCRUM) methodologies. Experience integrating automated test cases with CI / CD frameworks (Azure DevOps). Excellent understanding of risk management, defect management, and performance metrics. Desirable: experience with ETL testing, BrowserStack, and service-oriented protocols (XML). More ❯

Success teams to align client needs with product capabilities. Share feedback from clients to help inform product enhancements and roadmap priorities. Preferred Qualifications: Technical Skills: Exposure to programming (Ruby / Rails preferred) with a solid understanding of APIs and RESTful services. Experience with version control systems like Git and the GitHub CLI. Familiarity with SQL Knowledge of CI / CD pipelines, deployment workflows and branching strategies. Consultative Skills: Excellent communication and presentation skills, with experience leading client discussions. Ability to understand complex workflows and recommend solutions. Strong organizational skills to manage follow-ups and deliver resources promptly. Experience: 5+ years in a customer-facing technical role, such as implementations, professional services, or solutions More ❯

Success teams to align client needs with product capabilities. Share feedback from clients to help inform product enhancements and roadmap priorities. Preferred Qualifications: Technical Skills: Exposure to programming (Ruby / Rails preferred) with a solid understanding of APIs and RESTful services. Experience with version control systems like Git and the GitHub CLI. Familiarity with SQL Knowledge of CI / CD pipelines, deployment workflows and branching strategies. Consultative Skills: Excellent communication and presentation skills, with experience leading client discussions. Ability to understand complex workflows and recommend solutions. Strong organizational skills to manage follow-ups and deliver resources promptly. Experience: 5+ years in a customer-facing technical role, such as implementations, professional services, or solutions More ❯

a related role within a media agency, consultancy, or fast-paced business. Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI / ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data … Strong communication skills with the ability to explain technical concepts to non-technical stakeholders and clients. Preferred Skills Experience with DevOps and version control practices (Git, CI / CD pipelines, containers). Understanding of marketing technology ecosystems (e.g. ad platforms, CRM integrations). Hands-on experience with Power BI or other visualisation platforms. Why Join More ❯