701 to 725 of 3,472 CI/CD Jobs in the UK

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

build modern data solutions while developing consulting and leadership skills. Key Responsibilities Design, develop, and deliver scalable data pipelines and integrations on cloud data platforms. Build and optimise ETL / ELT solutions using best practices in data modelling and architecture. Collaborate with client teams to understand requirements and design tailored data solutions. Work across Snowflake, Databricks, AWS, Azure , or … on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL / ELT pipelines and data warehousing principles . Strong communication and problem-solving skills. Ability to work both independently and collaboratively within client teams. Desirable: Consulting experience or client-facing … delivery background. Familiarity with tools such as dbt, Fivetran, Matillion , or similar. Programming skills in Python, Java, or Scala . Cloud certifications (SnowPro, Databricks Certified, AWS / Azure / GCP). Knowledge of DataOps, CI / CD , and infrastructure-as-code concepts. What’s on Offer Hybrid working model (2–3 days per More ❯

build modern data solutions while developing consulting and leadership skills. Key Responsibilities Design, develop, and deliver scalable data pipelines and integrations on cloud data platforms. Build and optimise ETL / ELT solutions using best practices in data modelling and architecture. Collaborate with client teams to understand requirements and design tailored data solutions. Work across Snowflake, Databricks, AWS, Azure , or … on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL / ELT pipelines and data warehousing principles . Strong communication and problem-solving skills. Ability to work both independently and collaboratively within client teams. Desirable: Consulting experience or client-facing … delivery background. Familiarity with tools such as dbt, Fivetran, Matillion , or similar. Programming skills in Python, Java, or Scala . Cloud certifications (SnowPro, Databricks Certified, AWS / Azure / GCP). Knowledge of DataOps, CI / CD , and infrastructure-as-code concepts. What’s on Offer Hybrid working model (2–3 days per More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

. Strong understanding of Apache Spark (PySpark or Scala) and Structured Streaming . Experience working with Kafka (MSK) and handling real-time data . Good knowledge of Delta Lake / Delta Live Tables and the Medallion architecture . Hands-on experience with AWS services such as S3, Glue, Lambda, Batch, and IAM. Strong skills in Python for data engineering … automation, and testing. Confident using SQL for data analysis and building queries in Databricks SQL. Experience implementing CI / CD pipelines (e.g. GitHub Actions, Azure DevOps, or Jenkins). Familiarity with Git and version control best practices. TO BE CONSIDERED... Please either apply by clicking online or emailing me directly chelsea.hackett@searchability.com . By applying More ❯

retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments. Stay current with emerging trends in AI / ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong programming … problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI / CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile / Scrum environments. Contract … Details Location: Hybrid – London (onsite 2–3 days per week) Type: Day-rate contract (Outside / Inside IR35 subject to assessment) Duration: 6–12 months (extension likely) Start Date: Immediate or within 2–4 weeks Why Join Work with a talented, cross-functional AI and data engineering team. Contribute to cutting-edge ML solutions in a collaborative, innovation-driven More ❯

retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments. Stay current with emerging trends in AI / ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong programming … problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI / CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile / Scrum environments. Contract … Details Location: Hybrid – London (onsite 2–3 days per week) Type: Day-rate contract (Outside / Inside IR35 subject to assessment) Duration: 6–12 months (extension likely) Start Date: Immediate or within 2–4 weeks Why Join Work with a talented, cross-functional AI and data engineering team. Contribute to cutting-edge ML solutions in a collaborative, innovation-driven More ❯

Senior Software Engineer – National Security - SC Clearable Role: Senior Software Engineer Location: Cheltenham - Hybrid Work Clearance: SC Cleared / Eligible for SC Salary: £55,000 - £70,000 About the Role We’re seeking talented Senior Software Engineers to join Agile delivery teams supporting a range of complex and high-impact Central Government and Critical National Infrastructure projects. You’ll … Do Design, develop, and test robust software solutions using modern engineering practices. Work with a range of open-source libraries, frameworks, and components. Build and maintain CI / CD pipelines using tools such as GitLab , ensuring code quality and security. Deploy software systems across public (AWS) and private cloud environments. Engage in all stages of … the UK for the last 5 years. Culture & Benefits We take pride in creating an environment where everyone can thrive — valuing innovation, teamwork, and personal growth. Wellbeing: Free 24 / 7 counselling helpline and employee assistance programme Flexibility: Cheltenham office with hybrid working available Growth: Dedicated career coach to support personal and professional development Social: Regular team get-togethers More ❯

Job Title: Software Development Lead Location: hybrid / Corsham 2-3 days per week Duration: Initially until 31st March 2026 with likely extension Rate: Up to 800 per day via an approved umbrella company Our client, a reputable organisation leading innovative IT programmes, is hiring for a talented Software Development Lead to join the programme. This is a fantastic … industry trends and applying new techniques to enhance integration capabilities What you'll bring: Proven experience in software integration, with skills in Python, C, Powershell, and CI / CD pipelines Strong knowledge of architectural patterns such as SOA, Microservices, ESB, and API design Expertise in designing and implementing integration solutions for COTS and custom software More ❯

develop an understanding of their business strategy and architects development solutions based on that. Responsibilities Responsible for the development of systems based on requirements provided by our BA and / or the customer. Follows the direction set by the Principal Developer and follows industry standards in terms of techniques, methodologies, and tools. Provides direction and technical expertise in design … Computer Science, Information Systems, or other related field, or equivalent work experience Certification in any one programming skill Additional course or certification in Development Essential skills Evidence of application / technology and software delivery domain knowledge. Good knowledge of emerging technologies and market trends and able to assess impact on business strategies, benefits and risks. Experience in working closely … communication and presentation skills, with experience in initiating open and candid relationships with people at all levels. Demonstrates confidence in influencing and explaining things well to compel others. C# / .Net in Azure Cloud Tech Stack - One or more of these technical skills C# / .Net NodeJS Web API Messaging ( Rabbit or Kafka) Kubernetes / Docker AWS More ❯

and industry trends. Mentor other engineers and share knowledge within the team. Useful but not essential Experience with containerization technologies (e.g., Docker, Container Apps). Familiarity with continuous integration / continuous deployment (CI / CD) pipelines (Github actions a plus). Experience with testing frameworks (e.g., XUnit, Specflow, Jest). Experience with Behaviour Driven … Development (Gherkin Scenarios, Domain Modelling) Understanding of UI / UX principles. Contributions to open-source projects. Knowledge or experience working with text-to-code language models Knowledge or experience with big data analytics platforms (Databricks being a plus) Knowledge or data processing file format such as parquet, avro, csv) Who You Are Bachelor's degree in Computer Science, Engineering … RESTful APIs and microservices architecture. Understanding of version control systems (e.g., Git). Experience with cloud platforms .Azure is a plus. Knowledge of software development lifecycle (SDLC) and agile / lean methodologies. Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills Why Join Us? Opportunity to work on challenging and impactful projects. A collaborative, inclusive More ❯

planning and scheduling of projects. Mentor junior members of the team and support their professional growth What You’ll Need: Strong experience with C# (.NET Framework & Core) and SQL / MySQL Skilled in building web services and single-page applications using HTML, CSS, JavaScript , and modern JavaScript frameworks Familiarity with TypeScript , ES standards , and NoSQL databases is a plus … grasp of OOP , design patterns , and software architecture Experience with message brokers , Git , and Agile development Exposure to TDD or similar testing practices Attention to detail, especially in UX / UI What You'll Get to Work With: Modern microservices architecture powering high-volume systems Containerisation using Docker and Kubernetes for scalable deployments Cloud-native platforms and automated CI / CD pipelines Real-time performance engineering and distributed computing challenges Secure development practices with a focus on system architecture and compliance. Contact Philip Boltt at Lorien Global for more information. More ❯

Role – Technology Lead / Confluent Consulting Engineer Technology – Apache Kafka, Confluent Platform, Stream Processing Location – UK, Germany, Netherlands, France & Spain Job Description Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish … understanding of event-driven architecture and data streaming patterns • Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure • Familiarity with Docker, Kubernetes, and CI / CD pipelines • Excellent problem-solving and communication abilities Preferred: Candidates with experience in Confluent Kafka and its ecosystem will be given preference: • Experience with Kafka Connect, Kafka … confirm you have read, and you accept Infosys Data Privacy notice for the country of the job posting. Please see the relevant Data Privacy Notice under the link: https: / / digitalcareers.infosys.com / infosys / privacy-notice-emea. More ❯

Role – Technology Lead / Confluent Consulting Engineer Technology – Apache Kafka, Confluent Platform, Stream Processing Location – UK, Germany, Netherlands, France & Spain Job Description Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish … understanding of event-driven architecture and data streaming patterns • Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure • Familiarity with Docker, Kubernetes, and CI / CD pipelines • Excellent problem-solving and communication abilities Preferred: Candidates with experience in Confluent Kafka and its ecosystem will be given preference: • Experience with Kafka Connect, Kafka … confirm you have read, and you accept Infosys Data Privacy notice for the country of the job posting. Please see the relevant Data Privacy Notice under the link: https: / / digitalcareers.infosys.com / infosys / privacy-notice-emea. More ❯

As the Director of Engineering , you will own technical strategy, execution, and people development for Cyb3r Operations’ engineering organisation. You will work closely with the CTO, Product, and AI / Data Science leads to translate our business and product vision into a robust, scalable, and secure technology platform. This is a hands-on leadership role, ideal for someone who … the engineering roadmap , ensuring scalability, performance, and security of our third-party intelligence platform. Drive architectural decisions around data ingestion, graph-based intelligence, real-time risk scoring, and AI / ML integrations . Champion best practices in software engineering, cloud infrastructure (AWS / Azure / GCP), DevSecOps, and CI / CD . … . Proven experience building and scaling SaaS platforms — ideally in cybersecurity, risk intelligence, or enterprise analytics . Deep expertise in modern cloud environments (AWS, Azure, or GCP), containerization (Docker / Kubernetes), and distributed systems. Experience leading cross-functional teams across backend, frontend, DevOps, and data. Strong background in data pipelines, APIs, and real-time data processing (Kafka, Spark, GraphDBs More ❯

As the Director of Engineering , you will own technical strategy, execution, and people development for Cyb3r Operations’ engineering organisation. You will work closely with the CTO, Product, and AI / Data Science leads to translate our business and product vision into a robust, scalable, and secure technology platform. This is a hands-on leadership role, ideal for someone who … the engineering roadmap , ensuring scalability, performance, and security of our third-party intelligence platform. Drive architectural decisions around data ingestion, graph-based intelligence, real-time risk scoring, and AI / ML integrations . Champion best practices in software engineering, cloud infrastructure (AWS / Azure / GCP), DevSecOps, and CI / CD . … . Proven experience building and scaling SaaS platforms — ideally in cybersecurity, risk intelligence, or enterprise analytics . Deep expertise in modern cloud environments (AWS, Azure, or GCP), containerization (Docker / Kubernetes), and distributed systems. Experience leading cross-functional teams across backend, frontend, DevOps, and data. Strong background in data pipelines, APIs, and real-time data processing (Kafka, Spark, GraphDBs More ❯

from you. Responsibilities You will be responsible for the technical implementation and delivery of modern data systems as well as AI enabled applications Solve end to end data problems / opportunities at scale Contributing to solution architecture & design Working with our customers to take them on a journey to success bringing their data strategy to life Engage with your … apply them Experience with software engineering and DevOps best practices as well as the complete SDLC applied to data, e.g. automation, testing, contract definition, clean code, CI / CD, path to production Worked with AWS as a cloud platform Extensive hands-on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.) , data … e.g. Terraform, CloudFormation ) Software development experience with one or more languages (e.g. Python, Java, Scala, Go ) Pragmatic approach to solving problems Nice to have: keen interest in modern AI / ML techniques Why Mesh-AI Fast-growing start-up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment More ❯

A problem-solving mindset and the ability to innovate under pressure. Experience with: Windows and Linux operating systems Virtualisation platforms (VMware, Hyper-V) and containerisation (Kubernetes, Docker) Networking (TCP / IP, DNS, DHCP, firewalls) Automation and scripting (PowerShell, Bash, Python, Ansible, Terraform) Cyber security controls and accreditation processes Systems engineering lifecycle from design to deployment Desirable Skills Experience with … Azure) and Infrastructure as Code (CloudFormation, Terraform) Integration of enterprise services such as Active Directory, PKI, SIEM, and monitoring tools Hands-on with DevSecOps tools and CI / CD pipelines Relevant industry certifications (VMware VCP, AWS Solutions Architect, Microsoft, Kubernetes, etc.) Experience presenting at technical boards or industry forums If you'd like to discuss More ❯