1,176 to 1,200 of 4,186 AWS Jobs in England

Description, please Click Here Who we are looking for: You have strong SQL and Python skills, solid data engineering fundamentals, and experience delivering pipelines in a cloud environment (Azure, AWS, or GCP). Experience with Azure Data Factory, Synapse, or Data Lake Gen2 is beneficial, as is exposure to Databricks, Delta Lake, Iceberg, CI/CD, Power BI, or middleware More ❯

delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer More ❯

delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer More ❯

delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer More ❯

delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer More ❯

delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer More ❯

delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer More ❯

delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer More ❯

delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer More ❯

delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer More ❯

experience, committing code to a production environment. Proficiency in large-scale data processing (e.g. Spark, Cloud SQL ), and large-scale data systems (Iceberg, Parquet, ) Proficiency in cloud platforms (e.g. AWS, GCP, Azure). Proficiency in the Python ecosystem and its best practices Experience in CI/CD (e.g. CircleCI). Preferred Qualifications Familiarity and enthusiasm about AI-based coding solutions More ❯

VectorDBs). Backend development using Python. Software development lifecycle using Git, Agile, and test-driven development. Docker/Kubernetes containerisation and CI/CD pipelines. Additional valued skills include: AWS implementation experience using IaC and best practices (EC2, EKS, GPUs, SageMaker, RDS). Curious engineers with good collaborative skills. Data engineering experience with frameworks like Airflow, DBT, Spark. Bachelor's More ❯

a focus on knowledge continuity and internal capability uplift. PERSONAL PROFILE Proven experience as a Principal or Staff Engineer in a cloud-native environment, ideally with strong exposure to AWS (Lambda, Fargate, CDK/Terraform, etc.). Deep backend engineering knowledge, particularly using Node.js or similar, with strong CI/CD experience (e.g. GitLab, Snyk). Demonstrated ability to work More ❯

data structures and algorithms for efficient problem-solving. Experience with version control systems like Git and familiarity with branching strategies and code review practices. Familiarity with cloud infrastructure, particularly AWS, and experience in deploying and managing applications in cloud environments. Understanding of DevOps practices, CI/CD pipelines, and the ability to leverage automation tools to streamline the software development More ❯

discovery. Provide software development support to the ML model life cycle, working in the design and development of: Efficient and maintainable data pipelines Benchmarking systems of models Deployments to AWS and use of Kubernetes (in collaboration with our cloud engineers) Collaborate on the creation, testing and maintenance of software systems Code review for pull requests in adjoining areas Maintenance of More ❯

stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration frameworks such as Airflow/Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production More ❯

stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration frameworks such as Airflow/Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production More ❯

stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration frameworks such as Airflow/Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production More ❯

stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration frameworks such as Airflow/Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production More ❯

stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration frameworks such as Airflow/Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production More ❯

proactive service management. * Participate in continuous improvement initiatives and tooling exploitation to enhance operational efficiency. Key Skills & Experience: * Strong understanding of IT infrastructure (Windows, Unix, Linux) and cloud platforms (AWS, Azure). * Hands-on experience with monitoring tools such as Splunk, Splunk ITSI, Dynatrace, AppDynamics, and synthetic monitoring platforms. * Familiarity with enterprise systems such as WebLogic, Apache, Oracle, and SQL. More ❯

review practices. A desire to build clean, maintainable systems and a strong sense of data responsibility. Desired requirements : Experience working in a cloud-based data environment such as Snowflake, AWS, GCP, or Azure. Familiarity with data orchestration tools (e.g., Apache Airflow) and transformation frameworks like dbt. Exposure to real-time data streaming technologies such as Apache Kafka. Basic understanding of More ❯

EG, SAS DI, SAS Viya). An ability to write complex SQL queries. Project experience using one or more of the following technologies: Tableau, Python, Power BI, Cloud (Azure, AWS, GCP, Snowflake, Databricks). Project lifecycle experience, having played a leading role in the delivery of end-to-end projects, as 14, rue Pergolèse, Paris, Francewell as a familiarity with More ❯

of designing and building service-oriented and event-driven architectures Demonstrable experience of leading others in application design and coding standards Experience with at least one cloud platform, ideally AWS Working knowledge of infrastructure tooling e.g. Docker, Kubernetes Some experience with front end development, e.g. React Strong experience working with PostgreSQL or similiar, including performance tuning and query optimisation (Desirable More ❯

and is eager to learn new skills. Preferred: Understanding of ITIL principles and service management practices. Experience with MS SQL Server, Postgres and/or Maria DB Knowledge of AWS and Terraform an advantage Experience with scripting (e.g., PowerShell, Python) or automation tools. Clean driving license. Join the global Xylem team to be a part of innovative technology solutions transforming More ❯