101 to 125 of 186 AWS Lambda Jobs in the UK excluding London

data processing pipelines Hands‐on experience with Apache Spark and distributed data processing technologies Experience designing and operating cloud‐native data platforms, particularly within AWS Familiarity with Docker, Kubernetes and CI/CD delivery practices Understanding of data lake, data warehouse and modern analytics architectures Ability to work directly … with stakeholders and translate business requirements into scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence‐related datasets ...

data processing pipelines Hands‐on experience with Apache Spark and distributed data processing technologies Experience designing and operating cloud‐native data platforms, particularly within AWS Familiarity with Docker, Kubernetes and CI/CD delivery practices Understanding of data lake, data warehouse and modern analytics architectures Ability to work directly … with stakeholders and translate business requirements into scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence‐related datasets ...

Apache Kafka, forming the backbone of real-time execution and market data flows. Integrate with the cloud by implementing and managing data solutions on AWS, including services such as S3, Lambda, EC2, RDS, and Glue. Process data at scale by developing ETL processes for both batch and real … proficiency in Java (core and advanced concepts), hands-on experience with Apache Kafka (producers, consumers, and stream processing), and a solid working knowledge of AWS cloud services including S3, Lambda, EC2, RDS, and Glue. Proficiency in Python is also required. Beyond core languages and platforms, the ideal candidate ...

Context Engineering, Solution Architects, Enterprise Architecture, Security, QA and Application Support. The Role As an AI Platform Engineer, you will help build the secure AWS-based platform that other Aflac teams use for AI products. You will take ideas from design into production and make sure the platform … platform other Aflac teams use for AI products Shape important engineering decisions while the capability is still being built Work hands on with modern AWS AI services in real delivery work Solve practical problems around reliability, quality and cost Create patterns other engineers can reuse Build something ...

company's credit decisioning platform. Key responsibilities include: Designing, building and maintaining production data pipelines across the lending lifecycle Developing, deploying and maintaining AWS Lambda-based decisioning processes Building and improving ETL/ELT workflows that support analytics, reporting and credit decisions Managing APIs and data integrations across … team where you will have genuine ownership and visibility across the business. YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Python development AWS services including Lambda, EC2, CloudWatch and RDS SQL and database development, ideally with PostgreSQL Building, deploying and maintaining end-to-end production pipelines ...

focuses on creating high‐quality, cloud‐native applications that enable personalised client journeys across devices and channels. What You’ll Do Build and run AWS Cloud‐native applications with TypeScript, Node.js and React. Develop infrastructure as code using Terraform and AWS services. Implement automated tests for mandatory changes. … coach peers. What We’re Looking For Experience developing and maintaining client and server‐side applications. Experience building infrastructure as code and working with AWS or similar. Strong debugging, root‐cause analysis and resolution of production issues. Familiarity with unit, integration and end‐to‐end testing tools (e.g. Jest ...

with several Oracle products (mainly Oracle E-Business Suite, SOA, Portal, IAM, Weblogic, OHS, APEX). Essential Skills/Experience Expert experience working with AWS cloud, core AWS services such as EC2, RDS, Lambda and S3 Expert experience of setting up and maintaining continuous delivery and deployment … concurrent managers Weblogic Clustering and JVM tuning Automation of administrative tasks via scripting Practitioner knowledge of Git Ability to create and utilise AWS Cloud Formation templates to automate creation of AWS images. Practitioner experience working in Agile product delivery teams Excellent mentoring, coaching and skills transfer capabilities Desirable ...

with several Oracle products (mainly Oracle E-Business Suite, SOA, Portal, IAM, Weblogic, OHS, APEX). Essential Skills/Experience Expert experience working with AWS cloud, core AWS services such as EC2, RDS, Lambda and S3 Expert experience of setting up and maintaining continuous delivery and deployment … concurrent managers Weblogic Clustering and JVM tuning Automation of administrative tasks via scripting Practitioner knowledge of Git Ability to create and utilise AWS Cloud Formation templates to automate creation of AWS images. Practitioner experience working in Agile product delivery teams Excellent mentoring, coaching and skills transfer capabilities Desirable ...

experience in infrastructure testing, Terraform best practices, Infrastructure as Code (IaC), and introducing alternative technologies where appropriate. You will work across a range of AWS technologies, supporting infrastructure hosted on services including ASGs, ECS, RDS Aurora MySQL, MSK, ElastiCache, S3, and Redshift Spectrum. This is an exciting opportunity … builds 5+ years of commercial experience in a DevOps or infrastructure-focused role Experience working at scale Deep hands-on experience with AWS, ideally with 5+ years' experience using: -ASG -ALB -ECS -CloudFront -Redshift -Lambda -ElastiCache -RDS (Aurora) -Control Tower The Desirables Previous experience with affiliate tracking, data ...

optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling, and best practices across modern data platforms Deploying and maintaining solutions using … years) Proficiency in Java or Python Hands-on experience with streaming technologies (Kafka/Flink preferred) Good understanding of distributed systems and cloud platforms (AWS ideally) Experience with CI/CD, Docker, Kubernetes, and modern DevOps practices Why consider this role? Work on high-impact, large-scale data projects ...

maintain AI-powered solutions, including LLM-based document processing, intelligent extraction pipelines and agentic workflows. Build and deploy scalable web applications and microservices on AWS using Python, following cloud security best practices. Drive AI and machine learning research and development by evaluating new models, tools and technologies, creating prototypes … recommending adoption opportunities. Develop and optimise prompt engineering solutions for production AI applications. Manage and enhance AWS cloud infrastructure, including ECS, Lambda, S3 and CI/CD pipelines. Integrate AI capabilities into existing Financial IT applications, identifying opportunities to automate processes and improve efficiency. Collaborate with global stakeholders ...

maintain AI-powered solutions, including LLM-based document processing, intelligent extraction pipelines and agentic workflows.Build and deploy scalable web applications and microservices on AWS using Python, following cloud security best practices.Drive AI and machine learning research and development by evaluating new models, tools and technologies, creating prototypes and recommending … adoption opportunities.Develop and optimise prompt engineering solutions for production AI applications.Manage and enhance AWS cloud infrastructure, including ECS, Lambda, S3 and CI/CD pipelines.Integrate AI capabilities into existing Financial IT applications, identifying opportunities to automate processes and improve efficiency.Collaborate with global stakeholders to assess new development requests ...

Proven experience delivering cloud-native solutions, continuous delivery, and modern back-end architectures, including event-driven systems. Strong hands-on expertise with Java, Node.js, AWS services (Lambda, SNS, SQS, IAM, DynamoDB), and API technologies such as GraphQL and Postman. Experience with Infrastructure as Code, automation, and CI/ ...

Proven experience delivering cloud-native solutions, continuous delivery, and modern back-end architectures, including event-driven systems. Strong hands-on expertise with Java, Node.js, AWS services (Lambda, SNS, SQS, IAM, DynamoDB), and API technologies such as GraphQL and Postman. Experience with Infrastructure as Code, automation, and CI/ ...

Lead experimentation cycles, including hypothesis development, testing and evaluation Transition successful models from proof of concept into production environments Develop scalable ML pipelines using AWS cloud technologies Implement MLOps and LLMOps best practices for deployment, monitoring and governance Support feature engineering, model optimisation and performance monitoring Apply responsible … Engineer Strong experience developing and deploying Machine Learning models using Python Experience with frameworks such as PyTorch, TensorFlow, Scikit-learn or XGBoost Knowledge of AWS cloud services including SageMaker, Lambda and S3 Experience with MLOps tools such as MLflow, Weights & Biases or Data Version Control Experience designing, testing ...

share with their team & bring to life. As a Data Engineer, you’ll focus on building and maintaining robust data pipelines within the AWS ecosystem, with a primary focus on the Delta Lakehouse Platform on Databricks.Responsibilities:Data Ingestion: Build and optimize data ingestion pipelines using AWS services such … Lambda, Kinesis, and Glue.Data Transformation: Develop, maintain, and optimize transformation pipelines within our Delta Lake on Databricks.Data Modelling: Design and implement efficient and reliable data models to store and retrieve data.Collaboration: Work closely with data scientists, analysts, and stakeholders to understand data requirements and deliver optimal solutions.Data Quality: Ensure ...

hands-on engineering role with real ownership over infrastructure as well as code, so you'll be just as comfortable in Terraform and AWS as you are writing TypeScript. Mostly remote working with one day a month in Leeds for team collaboration and planning. Key Responsibilities Design, build … maintain backend services and APIs using TypeScript Take ownership of AWS infrastructure, including provisioning, scaling and cost management Build, maintain and improve CI/CD pipelines to support frequent, reliable deployments Write and manage infrastructure as code using Terraform, keeping environments consistent and reproducible Work closely with product owners ...

DoingLead the technical direction and architecture of backend platform servicesDesign, build, and maintain scalable services using Go and TypeScriptWork across modern AWS infrastructure including Lambda, ECS/EKS, RDS/AuroraMake pragmatic architectural decisions, balancing scalability, delivery speed, and maintainabilityDrive engineering quality through code reviews, testing standards … Looking ForStrong commercial experience building backend systems with GoExperience using TypeScript within backend environments (Node.js, tooling, shared services, etc.)Solid experience working within AWS cloud infrastructureStrong understanding of scalable system design and backend architecturePrevious experience in a technical leadership or senior engineering capacityPassion for mentoring developers and driving engineering ...

experienced Senior Software Engineer that has experience with building scalable, secure solutions. You will combine software engineering fundamentals with exposure to cloud technologies (AWS) and Generative AI. Reporting into our Engineering Manager, you will work on modern applications, contribute to cloud migrations, and help integrate AI-driven capabilities into … engineering life cycle, in an agile and iterative approach. Main ResponsibilitiesDevelop software solutions using modern programming languages and frameworks.Build and deploy applications in AWS cloud environments, using services such as EC2, Lambda, S3, and RDS.Collaborate on GenAI programs, including integrating AI models into applications and exploring automation opportunities.Write ...

optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling, and best practices across modern data platforms Deploying and maintaining solutions using … years) Proficiency in Java or Python Hands-on experience with streaming technologies (Kafka/Flink preferred) Good understanding of distributed systems and cloud platforms (AWS ideally) Experience with CI/CD, Docker, Kubernetes, and modern DevOps practices Why consider this role? Work on high-impact, large-scale data projects ...

optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling, and best practices across modern data platforms Deploying and maintaining solutions using … years) Proficiency in Java or Python Hands-on experience with streaming technologies (Kafka/Flink preferred) Good understanding of distributed systems and cloud platforms (AWS ideally) Experience with CI/CD, Docker, Kubernetes, and modern DevOps practices Why consider this role? Work on high-impact, large-scale data projects ...

optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or SparkDeveloping real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue)Contributing to data architecture, modelling, and best practices across modern data platformsDeploying and maintaining solutions using CI/… years)• Proficiency in Java or Python• Hands-on experience with streaming technologies (Kafka/Flink preferred)• Good understanding of distributed systems and cloud platforms (AWS ideally)• Experience with CI/CD, Docker, Kubernetes, and modern DevOps practicesWhy consider this role?• Work on high-impact, large-scale data projects• Exposure ...

experienced Senior DevOps Engineer to join their growing engineering team. This is a hands-on role focused on supporting and evolving a large-scale AWS environment while driving Infrastructure as Code, automation and DevOps best practices. Day-to-Day Responsibilities: Manage and enhance a complex AWS cloud environment … increasing customer demand. Key Requirements: 5+ years of experience in a DevOps, Cloud or Platform Engineering role. Strong hands-on experience designing and supporting AWS environments at scale. Expertise with Terraform and IaC. Strong Linux administration and Bash/Shell scripting skills. Strong understanding of Git and CI/ ...

optimising the Databricks-based Lakehouse that drives real-time data, analytics, and reporting across the Tote.You’ll build streaming and batch data pipelines on AWS using Apache Spark Structured Streaming, Delta Live Tables (DLT), and Kafka (MSK), ensuring our business teams across Liquidity, Product, Marketing, Finance, and Compliance have … Silver, and Gold Delta tables that serve as the foundation for analytics, APIs, and decision-making tools. You’ll integrate data from Kafka (MSK), AWS S3, and external APIs, ensuring seamless ingestion into the Lakehouse.You’ll work closely with BI teams to enable high-performance Power BI dashboards through ...

complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact. Proficiency building and operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code ...