and RSG. - Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow) - Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS) - Strong background in deploying models via APIs, containers, or cloud-native services - Proven track record delivering production-grade AI solutions in complex, data-rich environments - Skilled in setting team More ❯
london (city of london), south east england, united kingdom
fierlo
and RSG. - Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow) - Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS) - Strong background in deploying models via APIs, containers, or cloud-native services - Proven track record delivering production-grade AI solutions in complex, data-rich environments - Skilled in setting team More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
WüNDER TALENT
ll Do Build real-time AI products using Python, AWS, LiveKit Shape AI assistants for genuine human interactions Own problems end-to-end — no PM bureaucracy Deploy scalable infrastructure (ECS, Lambda, DynamoDB) Work directly with customers to iterate fast Frontend development when needed (React/React Native) What We Want Python expert comfortable with large, async projects Interest in More ❯
advantageous Experience with Git or similar Experience of creating and maintaining documentation Experience with AWS or GCP would be beneficial, as would any experience with containerisation and orchestration (Docker, ECS, or EKS). An understanding of Linux system administration and networking concepts would be useful Any experience of working within a regulated setting and working to one or more More ❯
using Cloud Formation • Experience of DevOps tooling such as Jenkins, Bitbucket, Nexus, Git, Jira etc. • Experience in working & configuring wide range of AWS services such as API Gateway, Lambda, ECS, Elastic Load Balancers, EC2, MSK, RDS – Client preferred • Experience on virtual server hosting (EC2), container management (Kubernetes, ECS and EKS) and Linux Operating System • Network experience, aware of …/Gitlab and Git Workflows • Exposure to working within a controlled environment such as banking and financial services • Experience on Docker and at least one Docker Container orchestration – Client ECS/EKS, Kubernetes. • Relevant AWS certification More ❯
warrington, cheshire, north west england, united kingdom
eTeam
using Cloud Formation • Experience of DevOps tooling such as Jenkins, Bitbucket, Nexus, Git, Jira etc. • Experience in working & configuring wide range of AWS services such as API Gateway, Lambda, ECS, Elastic Load Balancers, EC2, MSK, RDS – Client preferred • Experience on virtual server hosting (EC2), container management (Kubernetes, ECS and EKS) and Linux Operating System • Network experience, aware of …/Gitlab and Git Workflows • Exposure to working within a controlled environment such as banking and financial services • Experience on Docker and at least one Docker Container orchestration – Client ECS/EKS, Kubernetes. • Relevant AWS certification More ❯
City of London, London, United Kingdom Hybrid / WFH Options
I3 Resourcing Limited
AWS Skillset Delivery experience Building solutions in snowflake implementing data warehousing solutions using Snowflake and AWS Hands-on experience with AWS services such as Glue (Spark), Lambda, Step Functions, ECS, Redshift, and SageMaker. Enthusiasm for cross-functional work and adaptability beyond traditional data engineering. Examples like building APIs, integrating with microservices, or contributing to backend systems - not just data … strongly preferred for data processing, automation, and pipeline development AWS or Snowflake certifications are a plus Hands-on experience with AWS services such as Glue (Spark), Lambda, Step Functions, ECS, Redshift, and SageMaker. Enthusiasm for cross-functional work and adaptability beyond traditional data engineering. Examples like building APIs, integrating with microservices, or contributing to backend systems - not just data More ❯
engineers, data scientists, and line of business teams to develop and sustain resilient infrastructure for AI/ML solutions. Job Responsibilities Design, deploy, and operate application infrastructure using Amazon EKS/ECS. Build and maintain foundational data storage infrastructure, including Aurora Postgres, OpenSearch, and Amazon S3. Deploy and operate open-source AI/ML software, ensuring … s degree or higher in Computer Science, Engineering, or a related field, or equivalent formal training/certification. Proven hands-on experience with AWS services (Aurora/RDS, EKS, ECS, VPC, IAM, S3). Strong experience with Kubernetes (Amazon EKS). Proficiency with Infrastructure as Code (IaC) tools, such as Terraform. Experience automating operational tasks and CI More ❯
testing, continuous delivery, and building software that scales. Frontend: React.js (including Next.js, TypeScript, Tailwind) Backend: .NET Core (C#), exposing RESTful APIs Database: Microsoft SQL Server and MongoDB Infrastructure: AWS (ECS with Fargate), provisioned using Terraform. CI/CD: GitHub Actions For an immediate MS Teams interview please send your cv to Peter Bibby on the email address below... More ❯
us to take the above project of redesigning the Creditsafe platform into the cloud space. You will be expected to work with technologies such as Python, Rust, Linux, EC2, ECS, S3, Glue, Athena, Lambda, Step Functions, API Gateway, DynamoDB, RDS, Terraform, CI/CD. Primary Responsibilities Play a hands-on role as part of an Agile team. Actively contribute … to the codebase and participate in peer reviews. Design and build metadata driven, event based distributed data processing platform using technologies such as Python, Rust, EC2, ECS, S3, Glue, Athena, Lambda and Step Functions. Work collaboratively in the design, development, testing and deployment of our business-critical system. Building and scaling Creditsafe APIs to securely support over 1000 transactions More ❯
The Role As a Senior Java Microservices AWS Developer, you will be responsible for the design and development of web applications using Java and AWS Serverless Architecture (Lambda, DynamoDB, ECS Fargate, SQS, SNS, Kinesis, CloudWatch, CloudFormation, IAM, CodeBuild, Security Groups, API Gateway, ALBs, KMS, Secrets Manager, Parameter Store, and S3). Key Responsibilities Design and develop web applications using … side concurrent programming skills with Spring Boot (Core Spring) and JUnit. Good understanding of message-based architectures (MQ/Kafka). Proven proficiency in AWS Serverless Architecture (Lambda, DynamoDB, ECS Fargate, SQS, SNS, Kinesis, CloudWatch, CloudFormation, IAM, CodeBuild, Security Groups, API Gateway, ALBs, KMS, Secrets Manager, Parameter Store, and S3). Experience with RDBMS such as Sybase and/ More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Adecco
key deals. Technical Expertise Cloud-Native Architectures: - Deep understanding of AWS, Azure, and GCP services, including compute (EC2, Lambda), networking (VPC, Transit Gateway), storage (S3, Blob), and container orchestration (ECS, Fargate, Kubernetes/EKS/GKE). - Familiarity with IaC tools such as Terraform, CloudFormation, and Helm for scalable deployments. AI/ML Fundamentals: - Knowledge of Natural Language Processing … Please note we are on the client's supplier list for this position. Useful Keywords Technical Presales Lead, Solutions Engineering, Pre-Sales Manager, Cloud Architecture, AWS, Azure, GCP, Kubernetes, ECS, Fargate, Terraform, AI/ML, NLP, Security Compliance, SOC2, ISO 27001, GDPR, SaaS, Enterprise Software, API Integrations, Player-Coach, Technical Leadership, Proof of Value, Enterprise Presales More ❯
with hands-on experience in AI/ML frameworks including RAG, LangChain, TensorFlow, and PyTorch Practical experience with Generative AI and exposure to leading LLM platforms (Anthropic, Meta, Amazon , OpenAI) Proficiency with essential data science libraries including Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks Knowledge of ML-adjacent technologies, including AWS SageMaker, Kedro and MLflow. … for MLOps tools and practices Proficiency with version control systems including Git and GitHub Other Technologies You Might Encounter Our services are deployed to AWS, typically using Bedrock, Lambda, ECS and Kubernetes with CloudFormation, Terraform and CDK for infrastructure configuration Our web products are developed using TypeScript, React, and Redux We implement GraphQL and RESTful APIs using NodeJS and More ❯
of the business growth. You will be responsible for working on backend services, developing in Node.Js and Typescript, and will have a strong focus on AWS Services, such as ECS, Dynamo DB and S3. What will I be doing? Developing backend software in Node.js and Typescript into a high load environment. Turn concepts and requirements into a bespoke software … AWS environment. Key requirements: Minimum of 3 years as a Software Engineer. JavaScript development experience. Strong experience with Node.JS. Some experience of Terraform. Strong experience with AWS - such as ECS, Synamo DB and S3. Understanding of JavaScript, Typescript and React on the frontend. Some experience or strong understanding of platform engineering, working with CI/CD pipelines. Strong experience More ❯
and improvement, clear communication and teamwork, high-quality software that drives impact, we run our own services. Our current technical stack includes: backend services are containerised and provisioned into ECS clusters, service communication via Kafka (Confluent Cloud), infrastructure automation with Pulumi (Typescript), our infrastructure is hosted at AWS (most used: ECS, S3, DynamoDB, Aurora, OpenSearch), Github Actions for More ❯
Our system is built entirely on AWS and includes: Frontend: React with AWS Amplify Backend: Python-based AWS Lambda functions Storage: S3 Buckets Security: AWS Cognito Containers: EC2/ECS (ElasticContainerService) Visualisation: Kibana and Power BI Responsibilities Audit and re factor existing Python Lambda functions and S3 bucket usage Extend dashboard functionality with new data pipelines and … visualisations Collaborate on frontend improvements in React Amplify Support containerised services via ECS Integrate and maintain visual dashboards in Kibana and Power BI Requirements Proven experience with AWS services (Lambda, S3, Cognito, ECS) Strong Python development skills Familiarity with React and Amplify Experience building dashboards with Kibana and Power BI Ability to work independently and manage time effectively More ❯
Our system is built entirely on AWS and includes: Frontend: React with AWS Amplify Backend: Python-based AWS Lambda functions Storage: S3 Buckets Security: AWS Cognito Containers: EC2/ECS (ElasticContainerService) Visualisation: Kibana and Power BI Responsibilities Audit and re factor existing Python Lambda functions and S3 bucket usage Extend dashboard functionality with new data pipelines and … visualisations Collaborate on frontend improvements in React Amplify Support containerised services via ECS Integrate and maintain visual dashboards in Kibana and Power BI Requirements Proven experience with AWS services (Lambda, S3, Cognito, ECS) Strong Python development skills Familiarity with React and Amplify Experience building dashboards with Kibana and Power BI Ability to work independently and manage time effectively More ❯
and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow) Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS) Strong background in deploying models via APIs, containers, or cloud-native services Proven track record delivering production-grade AI solutions in complex, data-rich environments Skilled in setting team … Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow) Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS) Strong background in deploying models via APIs, containers, or cloud-native services Skilled in setting team engineering practices: Git, CI/CD, automated testing for ML code, code reviews More ❯
and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow) Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS) Strong background in deploying models via APIs, containers, or cloud-native services Proven track record delivering production-grade AI solutions in complex, data-rich environments Skilled in setting team … Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow) Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS) Strong background in deploying models via APIs, containers, or cloud-native services Skilled in setting team engineering practices: Git, CI/CD, automated testing for ML code, code reviews More ❯
