701 to 725 of 2,946 AWS Jobs in England

deploying and supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow ...

deploying and supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow ...

deploying and supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow ...

deploying and supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow ...

deploying and supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow ...

deploying and supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow ...

deploying and supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow ...

deploying and supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow ...

deploying and supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow ...

Excellent communication skills and a continuous improvement mindset Nice to have: ISTQB certification, device testing platforms (BrowserStack/LambdaTest), performance testing tools, cloud experience (AWS/Azure/GCP), and exposure to non-functional testing (performance, security, accessibility). This is a hybrid position – Central London (2 to 3 days ...

experience Strong background in Platform Engineering, DevOps, or Infrastructure Engineering Hands-on experience with Kubernetes, Infrastructure as Code, and CI/CD Experience with AWS, Azure, or GCP Confidence working in secure, regulated, or air-gapped environments, working for MOD or defence projects Have Security Clearance in place prior ...

Experience in data science , machine learning, and predictive modelling. Background in data engineering (ETL pipelines, streaming tech like Kafka). Familiarity with cloud platforms (AWS, Azure, GCP). Excellent communication skills for technical and non-technical stakeholders. Exposure to financial services or willingness to learn fixed income and electronic trading. ...

similar role. Extensive experience with SQL, Amazon Redshift & ideally MySQL. Extensive experience with visualisation tools, ideally with Amazon QuickSight. Experience with AWS Glue and the ability to write Python scripts, e.g. for ETL. Excellent data modelling skills. Experience developing ETL & ELT processes from multiple data sources & types. Experience in dashboard ...

customer experience Collaborate across Product, Design, and Engineering teams Contribute to code reviews, pair programming, and Agile improvements Tech Stack: Python, FastAPI, Django, AWS, Kubernetes, Helm, Terraform, PostgreSQL, Opensearch What In it for you? Competitive salary + performance bonus 28 days holiday + bank holidays + birthday off Private medical ...

days a week in the office. Essential: Experience with API testing tools (Postman) Understanding of CICD (Jenkins, AWS, Azure) Displays experience of various testing techniques (Exploratory, Smoke, Regression) Understanding of Database management tools and how to query data required (SQL) Displays clear and precise communication skills Desirable: Knowledge of automation ...

Strong background in microservice architecture and design patterns . Hands-on expertise in C#, .NET, SQL , and Web APIs . Cloud experience (Azure preferred, AWS considered). Knowledge of front-end technologies (ideally React but not essential) Ability to understand and guide front-end work within the overall architecture. Evidence ...

Technology Stack The team leverages modern technologies to deliver robust and scalable solutions: Languages & Frameworks: Python, Django, FastAPI Databases & Search: PostgreSQL, OpenSearch Cloud & DevOps: AWS, Kubernetes, Helm, Terraform Collaboration & Source Control: GitHub About the Candidate The ideal candidate will bring strong technical expertise and a passion for building backend systems ...

GitLab for source control Test Driven Development with appropriate tools and frameworks Experience in Big Data technologies Experience in Public Cloud services, such as AWS Aker Systems Attributes At Aker we work as a team; we are collaborative, hardworking, open, and delivery obsessed. There is no blame culture here ...

services. Tech Stack (Open-Source) Backend: PHP (Laravel), Golang Frontend: Vue.js or Svelte Databases: MySQL, PostgreSQL Infrastructure: Linux, Docker, CI/CD pipelines Cloud: AWS Testing: PHPUnit, Go testing framework Strong PHP/Laravel or Golang fundamentals and a willingness to learn the frontend stack ...

C#/.NET or another object-oriented language such as Java or Python. Solid experience working with SQL-based databases. Hands-on experience with AWS or Azure in a production environment. Interest in, or exposure to, AI systems, data-driven applications, or machine learning workflows. Ability to take a problem ...

work cross-functionally with multiple teams - Must be eligible to work in the UK without sponsorship - Bonus: experience with FastAPI, RabbitMQ, Kafka, DevOps practices, AWS workflows, CI/CD pipelines, distributed systems, or containerised microservices Please contact us as soon as possible for more details or apply below ...

protection controls, and secure-by-design principles. Experience governing multi-supplier environments and leading multidisciplinary cyber teams. Strong familiarity with cloud platforms (including Azure, AWS and multi-cloud), automation tooling, Terraform, CI/CD pipelines, GitHub, and security-focused scripting such as Python or JavaScript. Desirable Attributes Experience contributing ...

related field. Additional relevant security certifications e.g. CISSP, SABSA, TOGAF. Legal or professional services experience is highly desirable. Knowledge of additional cloud platforms e.g. AWS, GCP. Experience with zero trust architecture implementation and least privilege principles. Background in application security and secure SDLC practices Should you require additional support ...

documentations, RFCs and, most importantly identify roadblocks as they arise to avoid surprises during delivery. Nice to Have Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience leveraging their managed services from an engineering perspective. We have a dedicated DevOps team that deals with infrastructure implementation and integration. Interest ...

libraries such as Snowpark, PySpark, or PyTorch Experience with containerization tools like Docker and orchestration tools like Airflow or Astronomer Familiarity with cloud platforms (AWS, Azure) and ML services (e.g., SageMaker, Vertex AI) Experience with CI/CD pipelines and automation tools such as GitHub Actions Understanding of monitoring ...