ML pipelines in production environments Knowledge of CloudOps practices, with expertise in managing scalable, cost-optimized, and resilient data and ML workloads across major cloud platforms (AWS, Azure, or GCP) Experienced in architecting scalable ML solutions on cloud platforms, leveraging cloud-native services for data pipelines, model deployment, and system reliability Deep understanding of DevOps principles, including infrastructure as code More ❯
knowledge of Python and FastAPI, Django, or Flask Web Development tools : Experience with React/TypeScript or large-scale web applications Cloud & Data Stores : Hands-on with AWS/GCP/Azure, Postgres/MySQL, and Redis. Microservices & DevOps : Solid grasp of microservices, Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, Jenkins) AI/ML Foundations : Familiarity (or eagerness More ❯
or Python Developing of RESTful API services & understanding of API Gateways (e.g. APIGEE) Building applications utilising container technologies e.g. Docker Managing application deployed to Kubernetes clusters, Istio & Helm Cloud: GCP, GKE, IaC (Terraform) Build Tools & DevOps principles: Git, Maven, Jenkins CI/CD, Nexus, SonarQube It would be great if you also had Experience in Spring Boot and Hibernate Experience More ❯
we are looking for data engineers who have a variety of different skills which include some of the below. • Strong proficiency in Python • Extensive experience with cloud platforms (AWS, GCP, or Azure) • Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc) o Software More ❯
clearance. Preferred technical and professional experience Experience with AI/ML workloads and infrastructure. Knowledge of cybersecurity best practices and threat mitigation. Familiarity with multiple cloud vendors (e.g., AWS, GCP, Azure). ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many More ❯
MDM, and regulatory compliance in financial services. Integration Knowledge: Proficiency in API management, microservices, middleware platforms, and ETL processes. Cloud & Infrastructure Strategy: Expertise in cloud architectures (Azure, AWS, or GCP), containerization (Docker/Kubernetes), and hybrid cloud models. Security & Compliance Awareness: Understanding of financial services security frameworks, data privacy regulations (GDPR, SOC 2, etc.), and risk management principles. Business & Technology More ❯
candidate will meet all of the following essential criteria: Demonstrable experience in designing large scale cloud migration projects/programmes with open source and commercial software within AWS, Azure, GCP or hybrid Experience in operating within a multi-disciplined team and clearly communicating complex technology solutions to technical and non-technical people Experience designing event processing and async messaging architectures More ❯
skills. Preferred technical and professional experience Experience with AI/ML workloads and infrastructure. Knowledge of cybersecurity best practices and threat mitigation. Familiarity with multiple cloud vendors (e.g., AWS, GCP, Azure). ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many More ❯
engineering principles for building scalable, maintainable, and production-ready AI systems. Cloud Platforms: Strong working knowledge and practical deployment experience on at least one major cloudplatform (AWS, Azure, GCP), including their AI/ML services. LLMOps/MLOps: Expertise in designing and implementing robust MLOps/LLMOps pipelines for automated testing, CI/CD, monitoring, and governance of complex More ❯
of MLOps and production deployment practices Experience with Python and core ML libraries (e.g., Scikit-learn, Pandas, PyTorch, TensorFlow) Familiarity with cloud platforms and data infrastructure (e.g., AWS/GCP/Azure, SQL, ELT tools) Understanding of ethical frameworks, explainability, and governance in AI Engaging & Adaptable Communication: Ability to deliver dynamic training sessions and tailor communication to different audiences. Coaching More ❯
and OWASP Top 10/CWE 25. Strong technical proficiency in modern programming languages (e.g., Python, Java, JavaScript, Go, or C#). Experience with cloud-native security (AWS, Azure, GCP) and securing containerized environments (Docker, Kubernetes). Proficiency in security testing tools such as Burp Suite, Endor, Semgrep, etc. Strong background in network security, including firewalls, IDS/IPS, VPNs More ❯
hands-on experience (C#, Java, C++ or similar OO stack) and web app technologies Cloud technologies: IaaS, PaaS, containerisation, cloud security, public cloud platforms such as AWS (preferred), Azure, GCP SOA (Service Orientated Architecture) expertise Understanding of software testing frameworks/strategies API and system integration: REST, GraphQL, message middleware, data integration Full stack security posture: IDS, code vulnerability detection More ❯
hands-on experience (C#, Java, C++ or similar OO stack) and web app technologies Cloud technologies: IaaS, PaaS, containerisation, cloud security, public cloud platforms such as AWS (preferred), Azure, GCP SOA (Service Orientated Architecture) expertise Understanding of software testing frameworks/strategies API and system integration: REST, GraphQL, message middleware, data integration Full stack security posture: IDS, code vulnerability detection More ❯
experience in the following areas may also be helpful, but is not required or expected: Swift/iOS GraphQL Microservice Architectures Docker, Kubernetes, and cloud platforms such as AWS, GCP or Azure Understanding of UX principles HTML, CSS, and related web technologies Experience with modern JavaScript libraries and tooling, such as React, Redux, Webpack Any server side development languages such More ❯
as such any experience in the following areas may also be helpful, but is not required or expected: GraphQL Microservice Architectures Docker, Kubernetes, and cloud platforms such as AWS, GCP or Azure Understanding of UX principles HTML, CSS, and related web technologies Experience with modern JavaScript libraries and tooling, such as React, Redux, Webpack Any server side development languages such More ❯
Strong grasp of software architecture and microservices Experience working in containerised environments (Docker, Kubernetes) Familiarity with CI/CD pipelines, secure deployment practices and cloud deployment (e.g., AWS/GCP/Azure) Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Desirable: Experience with LLMs or transformer-based architectures (e.g., OpenAI, Mistral, or custom-trained models) Familiarity with More ❯
We have a fantastic opportunity for an experienced Enterprise Architect with recent experience delivering multicloud projects (in Azure and GCP at minimum) from a Cloud Architect perspective within the Financial Services and Banking space. This Enterprise Architect will play a pivotal role in designing, implementing, and managing a cloud infrastructure across Azure, GoogleCloudPlatform (GCP) and hybrid multi cloud … and a passion for building scalable, secure and cost effective solutions. Experience Required: 5-10 years experience as an Enterprise Cloud Architect with hands on experience in Azure and GCP Recent experience delivering multicloud projects (in Azure and GCP at minimum) from a Cloud Architect perspective within the Financial Services and Banking space. Deep understanding of cloud computing concepts including …/2026, extendable Hybrid: 3 days a week onsite in City of London; 2 days remote Keywords: Enterprise Architect, Azure, TOGAF, DORA, ECB, Zachman, cloud, GoogleCloudplatform, GCP, IaaS, PaaS, SaaS More ❯
clearance. Preferred technical and professional experience Experience with AI/ML workloads and infrastructure. Knowledge of cybersecurity best practices and threat mitigation. Familiarity with multiple cloud vendors (e.g., AWS, GCP, Azure). IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to More ❯
clearance. Preferred technical and professional experience Experience with AI/ML workloads and infrastructure. Knowledge of cybersecurity best practices and threat mitigation. Familiarity with multiple cloud vendors (e.g., AWS, GCP, Azure). IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to More ❯
large audiences - Ability to juggle tasks and projects in a fast-paced environment PREFERRED QUALIFICATIONS - Professional experience with AWS and/or other cloud offerings such as Azure, GoogleCloudPlatform etc. - Programming or scripting skills with a combination of Java, Python Perl, Ruby, C#, and/or PHP - Previous experience as a Software Engineer, Developer, Solution Architect, DevOps Engineer More ❯
large audiences Ability to juggle tasks and projects in a fast-paced environment PREFERRED QUALIFICATIONS - Professional experience with AWS and/or other cloud offerings such as Azure, GoogleCloudPlatform etc. Programming or scripting skills with a combination of Java, Python Perl, Ruby, C#, and/or PHP Previous experience as a Software Engineer, Developer, Solution Architect, DevOps Engineer More ❯
UK's most critical work. What you'll bring: Strong problem-solving and communication skills, able to simplify complex issues Experience delivering secure, resilient, scalable cloud architectures (Azure, AWS, GCP) Hands-on with IaC tools (Terraform, Bicep, CloudFormation) and CI/CD pipelines Proficient in Python or Bash scripting Knowledge of cloud security best practices (e.g. IAM, encryption, vulnerability management More ❯
streaming ETL pipelines using data processing engines Deep understanding of building Knowledge Graphs entailing biological ontologies, and leveraging graph DBs for their storage Experience with cloud development (we use GCP and Terraform) including reference architectures and developing specialized stacks on cloud services A strong background in data modeling, data structures, and large-scale data manipulation/transformations A can-do More ❯
background in software development, architecture, and systems design. Extensive experience in implementing AI-first software Proven experience in in AI development and AIOps implementation Experience with various cloud platforms (GCP, AWS, Azure, Etc) , DevOps tools, Demonstrated ability to scale technical teams and deliver complex software projects on time and on budget. Experience in creating solutions that has cloud, web, mobile More ❯
helping organisations leverage public cloud in a way that balances quick wins, immediate savings and sustainable value. Nordcloud is triple-certified across Amazon Web Services, Microsoft Azure and GoogleCloudPlatform - with 10 European hubs, over 1,300 employees and has delivered over 1,000 successful cloud projects for companies ranging from midsize to large corporates. Our clients benefit from More ❯
