1 to 25 of 179 AWS Jobs in the East Midlands

engineers and promote team growth What youll bring Proficiency in C#, .NET, JavaScript, and TypeScript Experience with React, Vue.js, or Angular (preferred) PHP knowledge (desirable) Familiarity with cloud services (AWS, GCP, or Azure), Docker, Kubernetes Understanding of CI/CD, DevOps, SQL/NoSQL databases, and modern testing practices Strong communication and problem-solving skills Success measures Timely delivery of More ❯

Django) Leading architecture discussions and supporting more junior engineers Working closely with product, data, and design teams to bring new ideas to life Building and scaling cloud-based systems (AWS/GCP/Azure) Driving quality across the codebase through testing, automation, and CI/CD About You 5+ years of hands-on Python engineering experience Strong background in backend More ❯

Django) Leading architecture discussions and supporting more junior engineers Working closely with product, data, and design teams to bring new ideas to life Building and scaling cloud-based systems (AWS/GCP/Azure) Driving quality across the codebase through testing, automation, and CI/CD About You 5+ years of hands-on Python engineering experience Strong background in backend More ❯

Django) Leading architecture discussions and supporting more junior engineers Working closely with product, data, and design teams to bring new ideas to life Building and scaling cloud-based systems (AWS/GCP/Azure) Driving quality across the codebase through testing, automation, and CI/CD About You 5+ years of hands-on Python engineering experience Strong background in backend More ❯

Django) Leading architecture discussions and supporting more junior engineers Working closely with product, data, and design teams to bring new ideas to life Building and scaling cloud-based systems (AWS/GCP/Azure) Driving quality across the codebase through testing, automation, and CI/CD About You 5+ years of hands-on Python engineering experience Strong background in backend More ❯

Django) Leading architecture discussions and supporting more junior engineers Working closely with product, data, and design teams to bring new ideas to life Building and scaling cloud-based systems (AWS/GCP/Azure) Driving quality across the codebase through testing, automation, and CI/CD About You 5+ years of hands-on Python engineering experience Strong background in backend More ❯

Django) Leading architecture discussions and supporting more junior engineers Working closely with product, data, and design teams to bring new ideas to life Building and scaling cloud-based systems (AWS/GCP/Azure) Driving quality across the codebase through testing, automation, and CI/CD About You 5+ years of hands-on Python engineering experience Strong background in backend More ❯

with: .NET, .NET Core/ASP.NET MVC, C#, Azure SQL and Agile. Full training will be provided into: .NET 9, JavaScript, React, Angular 19, Microservices, MongoDB, Vue.js, TypeScript, Azure, AWS, Web API 2, Entity Framework, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. If you are dedicated to the youthful optimism of problem solving through intellectual curiosity, collaboration and More ❯

to explore the potential for a strong alignment. Strong experience in JavaScript, extensive experience in React specifically. Extensive experience with Python, ideally including geospatial data processing . Experience with AWS, serverless and containerization. Proven commercial development experience delivering client requirements. Familiarity with automated tooling as part of continuous integration, such as automated testing and static analysis tools. Excellent problem-solving More ❯

relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes, data pipelines, and data governance principles. Data Visualisation & Reporting: Skilled in using data visualisation tools (e.g., Tableau More ❯

relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes, data pipelines, and data governance principles. Data Visualisation & Reporting: Skilled in using data visualisation tools (e.g., Tableau More ❯

relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes, data pipelines, and data governance principles. Data Visualisation & Reporting: Skilled in using data visualisation tools (e.g., Tableau More ❯

relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes, data pipelines, and data governance principles. Data Visualisation & Reporting: Skilled in using data visualisation tools (e.g., Tableau More ❯

and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools … like AWS CloudFormation and Terraform to automate model deployment and system setup Project Leadership: Oversee the ML lifecycle from data preparation to model training, validation, and deployment. Make high-level design decisions on model architecture and data pipelines. Mentor junior engineers and collaborate with data scientists, ML engineers, and Software Engineering teams to ensure successful delivery of ML projects Client … PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous Cloud & DevOps: Proven experience with AWS cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is More ❯

and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools … like AWS CloudFormation and Terraform to automate model deployment and system setup Project Leadership: Oversee the ML lifecycle from data preparation to model training, validation, and deployment. Make high-level design decisions on model architecture and data pipelines. Mentor junior engineers and collaborate with data scientists, ML engineers, and Software Engineering teams to ensure successful delivery of ML projects Client … PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous Cloud & DevOps: Proven experience with AWS cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is More ❯

and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools … like AWS CloudFormation and Terraform to automate model deployment and system setup Project Leadership: Oversee the ML lifecycle from data preparation to model training, validation, and deployment. Make high-level design decisions on model architecture and data pipelines. Mentor junior engineers and collaborate with data scientists, ML engineers, and Software Engineering teams to ensure successful delivery of ML projects Client … PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous Cloud & DevOps: Proven experience with AWS cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is More ❯

is of interest (Agile, Scrum). My client will provide training in: .NET 10.0, ASP.NET Core, C# 14, Blazor, JavaScript, React, Microservices, Azure, ASP.NET Core Web API, MongoDB, Azure, AWS, Node.js and Elasticsearch. This is a truly exciting project, one which if you are given the opportunity to work on will do wonders for your CV and boost you into More ❯

.NET Core/ASP.NET MVC, C# and Azure SQL. Our client can provide you with industry recognized training in: .NET 9, JavaScript, React, Angular 19, Microservices, Vue.js, TypeScript, Azure, AWS, Web API 2, Entity Framework, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. This is a great opportunity to work alongside smart, driven people who will inspire you every More ❯

do: Collaborate with engineers and product teams to shape product direction and deliver features that solve real user problems. Build and maintain services using Python, TypeScript, and cloud platforms (AWS or GCP). Work with serverless architectures, containerisation, and NoSQL databases. Drive observability, data-driven decisions, and continuous improvement across the product. Challenge assumptions and influence the product to make More ❯

do: Collaborate with engineers and product teams to shape product direction and deliver features that solve real user problems. Build and maintain services using Python, TypeScript, and cloud platforms (AWS or GCP). Work with serverless architectures, containerisation, and NoSQL databases. Drive observability, data-driven decisions, and continuous improvement across the product. Challenge assumptions and influence the product to make More ❯

do: Collaborate with engineers and product teams to shape product direction and deliver features that solve real user problems. Build and maintain services using Python, TypeScript, and cloud platforms (AWS or GCP). Work with serverless architectures, containerisation, and NoSQL databases. Drive observability, data-driven decisions, and continuous improvement across the product. Challenge assumptions and influence the product to make More ❯

JavaScript framework (React, Angular, or Vue.js preferred). Experience with relational databases (MySQL/Postgres) and version control (Git). Awareness of deployment pipelines and cloud platforms such as AWS, Azure, or Cloudflare. A proactive communicator who enjoys teamwork and problem-solving. Someone adaptable, curious, and eager to grow their technical expertise. Desirable Experience: Familiarity with microservices or no/ More ❯

Angular, or Vue these are central to the tech stack. Comfortable with relational databases (MySQL/PostgreSQL) and version control (Git). Familiarity with deployment pipelines and cloud platforms (AWS, Azure, Cloudflare). Proactive, curious, and collaborative, ready to take initiative and grow your expertise. Nice-to-Have: Experience with microservices or no/low-code tools like Bubble or More ❯

highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project Additional Courses AWS Certified Cloud Practitioner Microsoft Certified: Azure Administrator Associate Step 4 -Entry Level Development placement (£25K - £40k) We work with you to secure your first role in software development, website administration More ❯

highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project Additional Courses AWS Certified Cloud Practitioner Microsoft Certified: Azure Administrator Associate Step 4 -Entry Level Development placement (£25K - £40k) We work with you to secure your first role in software development, website administration More ❯