176 to 200 of 200 Remote AWS Lambda Jobs

ve worked with LLMs and/or computer vision models in real-world settings, and you know what it takes to get them into production. You're confident with AWS - from setting up infrastructure to building training pipelines and deploying models at scale. You thrive in fast-paced environments and enjoy seeing your work ship quickly. You're proactive … vision systems - from object detection to image segmentation Apply NLP to real-world business problems - summarisation, entity recognition, information extraction, and more Train and deploy models at scale using AWS - including Lambda, EC2, S3, and SageMaker Meet with enterprise clients to explore problems, present ideas, and share results Prototype fast, test often, and get working solutions into the More ❯

ve worked with LLMs and/or computer vision models in real-world settings, and you know what it takes to get them into production. You're confident with AWS - from setting up infrastructure to building training pipelines and deploying models at scale. You thrive in fast-paced environments and enjoy seeing your work ship quickly. You're proactive … vision systems - from object detection to image segmentation Apply NLP to real-world business problems - summarisation, entity recognition, information extraction, and more Train and deploy models at scale using AWS - including Lambda, EC2, S3, and SageMaker Meet with enterprise clients to explore problems, present ideas, and share results Prototype fast, test often, and get working solutions into the More ❯

3NF, dimensional, and Vault 2.0 modelling Real-time and streaming data know-how Hands-on with tools like Erwin, Lucidchart, PowerDesigner Strong SQL and Python skills (Snowflake or similar) AWS experience (Lambda, SNS, S3, EKS, API Gateway) Familiarity with data governance (GDPR, HIPAA) Bonus points for: DBT, Airflow, Atlan, Iceberg, CI/CD, API modelling The vibe: You More ❯

3NF, dimensional, and Vault 2.0 modelling Real-time and streaming data know-how Hands-on with tools like Erwin, Lucidchart, PowerDesigner Strong SQL and Python skills (Snowflake or similar) AWS experience (Lambda, SNS, S3, EKS, API Gateway) Familiarity with data governance (GDPR, HIPAA) Bonus points for: DBT, Airflow, Atlan, Iceberg, CI/CD, API modelling The vibe: You More ❯

BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving problems with minimal or no … Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake Understanding of AWS cloud and fundamental services like IAM, Lambda, S3 etc. Experience of liaising with both in-house and third party development teams, across different geographical sites Skilled at writing … and understand Python code especially those using AWS boto3 APIs Good understanding of replication software such as DMS Desirable criteria Very good SQL skills Past experience and solid understanding of end to end Data Warehouse, Data Lake and BI design and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data More ❯

BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving problems with minimal or no … Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake Understanding of AWS cloud and fundamental services like IAM, Lambda, S3 etc. Experience of liaising with both in-house and third party development teams, across different geographical sites Skilled at writing … and understand Python code especially those using AWS boto3 APIs Good understanding of replication software such as DMS Desirable criteria Very good SQL skills Past experience and solid understanding of end to end Data Warehouse, Data Lake and BI design and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data More ❯

Computing or equivalent Min 3 years in an infrastructure support environment involving administration of Microsoft and Linux server systems, network hardware, SAN/NAS storage, firewalls, Cloud (Azure/AWS) Experience & Skills Required Working knowledge of Server Operating Systems Good IT Security awareness Experience with Microsoft Azure and Office 365 administration Comfortable with scripting/automation (Python/Powershell … such as Splunk Excellent inter-personal skills - both written and oral communications; ability to interface with customers and technical representatives High degree of organisation, self-motivation and initiative Desirable AWS Administration & Best Practices (EC2, S3, Lambda etc) LAMP Stack Administration Red Hat Satellite and Ansible knowledge Docker or Podman experience MCSE, CCNA, VCP all an advantage but not More ❯

including incident resolution and root cause analysis. Required Skills & Qualifications: Previous experience as a DevOps engineer, designing, implementing, and maintaining scalable, secure, and reliable cloud solutions. Solid experience with AWS, ideally including AWS DevOps Engineer certification. Ability to identify, assess, and mitigate risks associated with infrastructure changes, applying appropriate change management processes. Experience with containerization and orchestration tools … such as Kubernetes (K8s), Amazon Elastic Kubernetes Service (EKS), Docker, and AWS Lambda. Previous experience working closely with developers, testers and the remaining technical team. Strong knowledge of security best practices, including implementing security changes and addressing security issues. Exposure to Ping Identity – formerly known as ForgeRock is highly desirable. Benefits: Initial 6-month contract Inside IR35 , with the More ❯

strategy and ensuring the success of our client's complex, critical high-profile projects. You will lead the design and implementation of secure, scalable, and resilient data architectures on AWS and other cloud platforms, while also serving as a mentor and leader to a team of skilled data professionals. Duties & Responsibilities Engage with senior stakeholders, both internal and external … objectives Lead the design, development and implementation of data architectures that meet the needs of our clients, ensuring alignment with security, performance and scalability requirements Utilise extensive experience with AWS tooling and other cloud providers to architect and deploy secure, cloud-native solutions for batch and real-time data processing Provide technical leadership and guidance to cross-functional teams … to continuously improve our offerings Essential Experience and Competencies 10+ years of experience in data architecture, with a focus on secure, large-scale and complex projects Extensive experience with AWS services, including but not limited to EC2, S3, RDS, Lambda and Redshift. Experience with other cloud providers (e.g., Azure, GCP) is a plus In-depth knowledge and hands More ❯

Grafana) Experience defining alerts and implementing dashboards from existing monitoring and logging data Relentless focus on customer experience with good understanding of security best practice Fluency in cloud infrastructure (AWS) - using Infrastructure as Code (Terraform, Git), building automated pipelines (Gitlab CI, Lambda) with experience with a container orchestration platform (Kubernetes, Helm). What we offer: Our roles offer More ❯

In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure … affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda's AI Cloud has been adopted by the world's leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars … make computation as effortless and ubiquitous as electricity. If you'd like to build the world's best deep learning cloud, join us. What You'll Do Help scale Lambda's high performance cloud network Contribute to the reproducible automation of network configuration and deployments Contribute to the implementation and operations of Software Defined Networks Help to deploy and More ❯

and compliance issues across HL's Cloud estate, delivering cloud security integration projects and BAU activities. You will provide technical guidance to the HL Cloud Platforms teams, to ensure AWS security engineering best practices to securely build and scale cloud-native infrastructure and applications. What you'll be doing Assist in assessing IaC designs, their implementation into production, automating … where possible, and documenting solutions leveraging Amazon Web Service (AWS) and other third-party solutions. Assist security engineering within HLs cloud infrastructure team to build and improve security logging and native AWS tooling. Manage the AWS cloud security logging capabilities, ensuring these are functioning correctly at all times. Document the security tooling, enabling other teams to architect … and build solutions which conform to the structure. Assist the lead cloud security engineer by providing subject matter expertise as it relates to AWS cloud platforms and emerging cloud technologies. Delivery of security analysis, recommendations, projects and compliance methods and practice. Assist in the design of a strategy to create a custom automated methodology for identifying potential security principles More ❯

under Bedrock and Sagemaker both Amazon * Python with APIs to ChatGPT * Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Key Skills & Experience: AWS Data Science Environment: Hands-on experience with Sage Maker, Lambda, Step Functions, S3, Athena. Model deployment and pipeline orchestration in AWS. OCR Use-Case Development: Proficiency with Amazon More ❯

infrastructure. Key Responsibilities: Design, build, and optimize data pipelines using Airflow, DBT, and Databricks. Monitor and improve pipeline performance to support real-time and batch processing. Manage and optimize AWS-based data infrastructure, including S3 and Lambda, as well as Snowflake. Implement best practices for cost-efficient, secure, and scalable data processing. Enable and optimize AWS SageMaker … or a related field, or equivalent work experience. Minimum of 3 years of experience in DataOps or similar. Proficiency in key technologies, including Airflow, Snowflake, and SageMaker. Certifications in AWS/Snowflake/other technologies a plus. Excellent communication and interpersonal skills. Ability to work in a fast-paced environment and manage multiple priorities effectively. What's in it More ❯

matter expertise in data processing and reporting. In this role, you will own the reliability, performance, and operational excellence of our real-time and batch data pipelines built on AWS, Apache Flink, Kafka, and Python. You'll act as the first line of defense for data-related incidents , rapidly diagnose root causes, and implement resilient solutions that keep critical … as on-call escalation for data pipeline incidents, including real-time stream failures and batch job errors. Rapidly analyze logs, metrics, and trace data to pinpoint failure points across AWS, Flink, Kafka, and Python layers. Lead post-incident reviews: identify root causes, document findings, and drive corrective actions to closure. Reliability & Monitoring Design, implement, and maintain robust observability for … capacity planning, scaling policies, and disaster-recovery drills for stream and batch environments. Architecture & Automation Collaborate with data engineering and product teams to architect scalable, fault-tolerant pipelines using AWS services (e.g., Step Functions , EMR , Lambda , Redshift ) integrated with Apache Flink and Kafka . Troubleshoot & Maintain Python -based applications. Harden CI/CD for data jobs: implement automated More ❯

What You'll Be Building You'll develop three fully functional, production-quality Proofs of Concept that demonstrate technical leadership in: Real-Time Azure-to-AWS Migration Demo - showcasing cross-cloud architecture AI-Powered Email Intelligence System - with natural language querying Document Validation POC - including interface and full integration Key Skills Required Cloud Data Engineering: AWS (Aurora, DMS … Lambda, Kinesis), Azure Data Factory Streaming & CDC: Apache Kafka, AWS Kinesis, change data capture AI/Vector Search: Pinecone, Weaviate, or Chroma with LangChain API Development: RESTful services, 3rd-party system integrations Production Standards: Monitoring, logging, cost optimisation, error handling Ideal Candidate Senior-level engineer with proven experience delivering client-facing demos or production-quality POCs Able to More ❯

your opportunity About you You're an experienced data engineering professional with a proven ability to lead and inspire teams. You bring deep technical skills in Python, SQL, and AWS services such as EC2, Redshift, Lambda and Kinesis, alongside strong stakeholder management and commercial awareness. You'll also bring: Proven experience designing and implementing data pipelines, ETL processes More ❯

includes defining data flows, modelling entity relationships, and contributing to high-level design documentation. You must bring experience working with government or public sector organisations, a deep understanding of AWS data services, and the ability to communicate clearly with both technical and non-technical stakeholders. Key Responsibilities: Collaborate with Technical Architects (TAs) to define and document high-level architectural … data designs. Create and maintain end-to-end data flow diagrams, logical data models, and entity relationship diagrams (ERDs). Design scalable, secure, and robust data architectures on AWS, incorporating services such as S3, Glue, Redshift, RDS, and Lambda. Work with stakeholders to understand business and data requirements and translate them into architectural blueprints. Ensure data architecture complies with … providing input into architecture governance and assurance processes. Skills and Experience: Experience working with UK Government departments or public sector bodies. Strong experience designing and implementing data architectures on AWS platforms. Ability to create and present entity relationship diagrams, logical data models, and high-level architecture diagrams. Familiarity with data modelling standards, metadata management, and data governance. Knowledge of More ❯

includes defining data flows, modelling entity relationships, and contributing to high-level design documentation. You must bring experience working with government or public sector organisations, a deep understanding of AWS data services, and the ability to communicate clearly with both technical and non-technical stakeholders. Key Responsibilities: Collaborate with Technical Architects (TAs) to define and document high-level architectural … data designs. Create and maintain end-to-end data flow diagrams, logical data models, and entity relationship diagrams (ERDs). Design scalable, secure, and robust data architectures on AWS, incorporating services such as S3, Glue, Redshift, RDS, and Lambda. Work with stakeholders to understand business and data requirements and translate them into architectural blueprints. Ensure data architecture complies with … providing input into architecture governance and assurance processes. Skills and Experience: Experience working with UK Government departments or public sector bodies. Strong experience designing and implementing data architectures on AWS platforms. Ability to create and present entity relationship diagrams, logical data models, and high-level architecture diagrams. Familiarity with data modelling standards, metadata management, and data governance. Knowledge of More ❯

includes defining data flows, modelling entity relationships, and contributing to high-level design documentation. You must bring experience working with government or public sector organisations, a deep understanding of AWS data services, and the ability to communicate clearly with both technical and non-technical stakeholders. Key Responsibilities: Collaborate with Technical Architects (TAs) to define and document high-level architectural … data designs. Create and maintain end-to-end data flow diagrams, logical data models, and entity relationship diagrams (ERDs). Design scalable, secure, and robust data architectures on AWS, incorporating services such as S3, Glue, Redshift, RDS, and Lambda. Work with stakeholders to understand business and data requirements and translate them into architectural blueprints. Ensure data architecture complies with … providing input into architecture governance and assurance processes. Skills and Experience: Experience working with UK Government departments or public sector bodies. Strong experience designing and implementing data architectures on AWS platforms. Ability to create and present entity relationship diagrams, logical data models, and high-level architecture diagrams. Familiarity with data modelling standards, metadata management, and data governance. Knowledge of More ❯

have attended an internship at a leading Tech company. Proficiency in Python AI libraries is essential, with preferred expertise in demand prediction, computer vision, or optimisation. Familiarity with the AWS cloud platform, particularly its AI/ML services (SageMaker and Lambda) and related data processing tools, is also required. This is a fantastic opportunity for a Senior Data … years AI model building in Python. Proficient as a Data Scientist with knowledge of Python AI libraries. Expertise in demand prediction, computer vision, or optimisation (preferred). Familiarity with AWS AI/ML services (SageMaker, Lambda). Academic Excellence (Russel Group University or Internship at a leading Tech company) Reference Number: BBBH257746 To apply for this role or More ❯

reimbursed. We are seeking a Technology Architect with strong experience in data architecture and cloud technologies for a 6-month contract in London. The role will involve working with AWS (Aurora, S3, Lambda), Snowflake , Databricks , and Reltio to design and implement scalable data solutions. Key Responsibilities: Lead data architecture design using AWS, Snowflake, Databricks, and Reltio. Manage … the lifecycle. Knowledge of motor fleet insurance operations (underwriting, claims, policy management) is a plus. Required Skills & Experience: 15-20 years of experience in data architecture . Expertise in AWS , Snowflake , Databricks , and Reltio . Experience with data governance , data privacy regulations , and ETL tools . Familiarity with reporting tools like Power BI and Tableau . Experience with motor More ❯

reimbursed. We are seeking a Technology Architect with strong experience in data architecture and cloud technologies for a 6-month contract in London. The role will involve working with AWS (Aurora, S3, Lambda), Snowflake , Databricks , and Reltio to design and implement scalable data solutions. Key Responsibilities: Lead data architecture design using AWS, Snowflake, Databricks, and Reltio. Manage … the lifecycle. Knowledge of motor fleet insurance operations (underwriting, claims, policy management) is a plus. Required Skills & Experience: 15-20 years of experience in data architecture . Expertise in AWS , Snowflake , Databricks , and Reltio . Experience with data governance , data privacy regulations , and ETL tools . Familiarity with reporting tools like Power BI and Tableau . Experience with motor More ❯

demonstrate the technical leadership in; data modernisation, AI-powered insights, and systems integration. This is for one senior data engineer to build three flagship demonstrations Real-time Azure-to-AWS migration showcase (client-ready demo) AI-powered email intelligence system with natural language querying Document validation integration POC with working interface Essential skills Cloud Data Engineering: AWS (Aurora … DMS, Lambda, Kinesis), Azure Data Factory Real-time Streaming: Apache Kafka, AWS Kinesis, change data capture (CDC) Vector Databases: Pinecone, Weaviate, or Chroma etc. with LangChain integration API Development: RESTful services, third-party integrations Production Systems: Enterprise-grade monitoring, error handling, cost optimisation Outside IR35 Fully Remote Immediate start 3-6 Month Contract Please send CV's to More ❯

demonstrate the technical leadership in; data modernisation, AI-powered insights, and systems integration. This is for one senior data engineer to build three flagship demonstrations Real-time Azure-to-AWS migration showcase (client-ready demo) AI-powered email intelligence system with natural language querying Document validation integration POC with working interface Essential skills Cloud Data Engineering: AWS (Aurora … DMS, Lambda, Kinesis), Azure Data Factory Real-time Streaming: Apache Kafka, AWS Kinesis, change data capture (CDC) Vector Databases: Pinecone, Weaviate, or Chroma etc. with LangChain integration API Development: RESTful services, third-party integrations Production Systems: Enterprise-grade monitoring, error handling, cost optimisation Outside IR35 Fully Remote Immediate start 3-6 Month Contract Please send CV's to More ❯