City of London, London, United Kingdom Hybrid / WFH Options
Experis
PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data preprocessing, feature engineering, and model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to detail Preferred More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Experis
PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data preprocessing, feature engineering, and model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to detail Preferred More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Experis
/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working in Agile/DevOps environments . Strong understanding of security principles and data protection regulations . Excellent stakeholder communication More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Experis
/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working in Agile/DevOps environments . Strong understanding of security principles and data protection regulations . Excellent stakeholder communication More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Experis
event-driven systems and Kafka Hands-on experience with AWS and infrastructure automation tools (Pulumi, Terraform, etc.) Understanding of Domain-Driven Design and collaborative modelling Experience with relational and NoSQL databases (PostgreSQL, DynamoDB, OpenSearch) Bonus: Experience with monolith-to-microservices migrations Why Join? Flexible working (hybrid London) Enhanced holiday allowance Mental and physical health initiatives Pension scheme Inclusive, values-driven More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Experis
event-driven systems and Kafka Hands-on experience with AWS and infrastructure automation tools (Pulumi, Terraform, etc.) Understanding of Domain-Driven Design and collaborative modelling Experience with relational and NoSQL databases (PostgreSQL, DynamoDB, OpenSearch) Bonus: Experience with monolith-to-microservices migrations Why Join? Flexible working (hybrid London) Enhanced holiday allowance Mental and physical health initiatives Pension scheme Inclusive, values-driven More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Client Server
to London. About you: You have strong Data Engineering experience including design and data modelling skills You can code with Golang, Python or Scala You have advanced SQL and NoSQL database knowledge You're familiar with event-driven architectures and messaging systems (Pub/Sub, Kafka, etc.) You have experience of deploying and managing services in cloud environments, GCP preferred More ❯
City of London, London, United Kingdom Hybrid / WFH Options
X4 Technology
into clear business outcomes and ROI. Excellent communication, collaboration, and stakeholder management skills. Proficiency in Agile methodologies and tools (Jira, Confluence). Desirable: Knowledge of cloud data technologies (SQL, NoSQL, data lakes). Experience with AI/ML frameworks and orchestration tools. Background in financial services or other regulated industries. Understanding of data processing and reconciliation solutions. What’s on More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
X4 Technology
into clear business outcomes and ROI. Excellent communication, collaboration, and stakeholder management skills. Proficiency in Agile methodologies and tools (Jira, Confluence). Desirable: Knowledge of cloud data technologies (SQL, NoSQL, data lakes). Experience with AI/ML frameworks and orchestration tools. Background in financial services or other regulated industries. Understanding of data processing and reconciliation solutions. What’s on More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Talent
end interfaces and back-end APIs. Implement event-driven solutions using Kafka and other messaging technologies. Develop, deploy, and manage scalable applications on AWS cloud infrastructure. Work with both NoSQL (MongoDB) and SQL databases to optimize data management. Utilize Docker and Kubernetes for container orchestration, scalability, and efficient delivery. Define and manage cloud infrastructure using Infrastructure as Code (IaC) tools … including both front-end (UI) and API components. Proficiency in Kafka and event-driven design patterns. Deep understanding of AWS cloud services and architecture best practices. Strong experience with NoSQL (MongoDB) and SQL databases. Expertise in containerization with Docker and orchestration with Kubernetes. Experience with Terraform or similar IaC tools for provisioning cloud infrastructure. Proficiency in CI/CD pipeline More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Talent
end interfaces and back-end APIs. Implement event-driven solutions using Kafka and other messaging technologies. Develop, deploy, and manage scalable applications on AWS cloud infrastructure. Work with both NoSQL (MongoDB) and SQL databases to optimize data management. Utilize Docker and Kubernetes for container orchestration, scalability, and efficient delivery. Define and manage cloud infrastructure using Infrastructure as Code (IaC) tools … including both front-end (UI) and API components. Proficiency in Kafka and event-driven design patterns. Deep understanding of AWS cloud services and architecture best practices. Strong experience with NoSQL (MongoDB) and SQL databases. Expertise in containerization with Docker and orchestration with Kubernetes. Experience with Terraform or similar IaC tools for provisioning cloud infrastructure. Proficiency in CI/CD pipeline More ❯
City of London, London, United Kingdom Hybrid / WFH Options
ArangoDB
demonstrations of ArangoDB and its GenAI suite for clients. Deliver demonstrations, drive Proof of Concepts/Technology (PoCs/PoTs) with prospects and customers, often in comparison to other (NoSQL) database technologies and other Machine Learning/AI enterprise solutions. Utilize existing skillset and acquired ArangoDB knowledge to build functional demos for various use cases that incorporate the core database … warehouses, big data systems, analytics, and machine learning. Technical understanding of data and AI/ML tooling, workflows, and trends in an enterprise setting Experience or knowledge of vector, NoSQL databases, and/or distributed database systems Experience building and integrating LLMs, extra points for Retrieval-Augmented Generation (RAG) systems Strong Architecture skills - ie, mapping a business to technical requirements More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
ArangoDB
demonstrations of ArangoDB and its GenAI suite for clients. Deliver demonstrations, drive Proof of Concepts/Technology (PoCs/PoTs) with prospects and customers, often in comparison to other (NoSQL) database technologies and other Machine Learning/AI enterprise solutions. Utilize existing skillset and acquired ArangoDB knowledge to build functional demos for various use cases that incorporate the core database … warehouses, big data systems, analytics, and machine learning. Technical understanding of data and AI/ML tooling, workflows, and trends in an enterprise setting Experience or knowledge of vector, NoSQL databases, and/or distributed database systems Experience building and integrating LLMs, extra points for Retrieval-Augmented Generation (RAG) systems Strong Architecture skills - ie, mapping a business to technical requirements More ❯
