251 to 275 of 385 CI/CD Jobs in Central London

and non-technical audiences. Desirable Skills Candidates who stand out will also bring: Proficiency in Infrastructure as Code (IaC) tools such as Terraform, and experience with CI / CD pipelines and scripting languages (Bash, Python, Perl). A solid grasp of cloud security best practices and tools, including IAM, firewalls, and encryption. Experience managing hybrid … and multi-cloud networking (TCP / IP, subnets, load balancing, DNS). A track record of leading small technical teams, providing guidance and mentorship. Experience in site reliability engineering (SRE) or IT operations, including incident response and troubleshooting. Strong problem-solving and innovation skills, with evidence of delivering technical improvements or new ways of working. More ❯

dimensional, event-based, ML-aligned) Experience with helping to build ML models and orchestrating into production 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 ❯

dimensional, event-based, ML-aligned) Experience with helping to build ML models and orchestrating into production 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 ❯

e.g. firewalls, encryption, identity management). Experience implementing foundational cloud platforms (landing zones, IAM, VPC, networking). Proficiency with Infrastructure as Code (Terraform) and automation through CI / CD pipelines . Scripting experience (e.g. Python, Bash, PowerShell ) for automation and DevOps integration. Proven experience leading small technical teams , including mentoring and delivery oversight. Strong communication More ❯

across Bronze → Silver → Gold layers, ensuring quality, scalability, and reliability. Develop and optimise Spark (PySpark) jobs for large-scale distributed processing. Design and implement streaming data pipelines with Kafka / MSK, applying best practices for late event handling and throughput. Use Terraform and CI / CD pipelines (GitHub Actions or similar) to manage infrastructure More ❯

across Bronze → Silver → Gold layers, ensuring quality, scalability, and reliability. Develop and optimise Spark (PySpark) jobs for large-scale distributed processing. Design and implement streaming data pipelines with Kafka / MSK, applying best practices for late event handling and throughput. Use Terraform and CI / CD pipelines (GitHub Actions or similar) to manage infrastructure More ❯

system scalability, reliability, and performance Lead code reviews, mentor engineers, and support hiring as we grow Take ownership from concept to delivery, including infrastructure (deployments, observability, CI / CD) Must-Have Qualifications 5+ years in software engineering (flexible if skills and impact are strong) Strong foundations in typed languages (e.g., C++, Scala, Rust, Java, C# … allocation (stack vs. heap) Proven track record of recent impact: delivering features, improving systems, solving real-world challenges Comfort adapting to new languages and stacks quickly Experience in smaller / startup environments (ownership mindset, thrives in ambiguity) Strong communication and collaboration skills; disciplined in reviews and documentation Degree in Computer Science, Engineering, or related field (top-tier university preferred … Success Looks Like (6–12 Months) You’ve shipped high-impact features end-to-end, driving real user engagement You’ve taken ownership of key systems and improved performance / reliability You’re mentoring others and helping to build a strong engineering-first culture You’ve influenced architectural decisions and contributed to our tech evolution You’re fully fluent More ❯

system scalability, reliability, and performance Lead code reviews, mentor engineers, and support hiring as we grow Take ownership from concept to delivery, including infrastructure (deployments, observability, CI / CD) Must-Have Qualifications 5+ years in software engineering (flexible if skills and impact are strong) Strong foundations in typed languages (e.g., C++, Scala, Rust, Java, C# … allocation (stack vs. heap) Proven track record of recent impact: delivering features, improving systems, solving real-world challenges Comfort adapting to new languages and stacks quickly Experience in smaller / startup environments (ownership mindset, thrives in ambiguity) Strong communication and collaboration skills; disciplined in reviews and documentation Degree in Computer Science, Engineering, or related field (top-tier university preferred … Success Looks Like (6–12 Months) You’ve shipped high-impact features end-to-end, driving real user engagement You’ve taken ownership of key systems and improved performance / reliability You’re mentoring others and helping to build a strong engineering-first culture You’ve influenced architectural decisions and contributed to our tech evolution You’re fully fluent More ❯

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 ❯

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 ❯