work on productionising solutions using OCR, NLP (SpaCy), and ML to automate the processing of documents. Key Responsibilities Develop and maintain automation services using AWS serverless stack (Lambda, CDK, S3, Aurora/Postgres) Implement OCR, NLP, and ML for document analysis and automation risk assessment Lead R&D spikes and validate system improvements through robust data analysis Ensure code More ❯
engineering manager, a product manager and 3-5 engineers with tailored skillsets to the specific domain. Our current technology stack is AWS serverless products ( Lambda , SQS , EventBridge , API Gateway , S3 ) running Typescript on the compute layer and backed by MongoDB for the database layer. We have some C# services and are expanding out into other AWS products such as … are comfortable debugging through tracing and observability. Willing to be on-call for your services. Nice to have Have experience with Node.js , specifically Typescript . Have experience with Amazon Web Services . Have experience with serverless products. Have experience with document databases, specifically MongoDB . Have experience mentoring/managing. Have experience in a build-and-run model. More ❯
work on productionising solutions using OCR, NLP (SpaCy), and ML to automate the processing of documents. Key Responsibilities Develop and maintain automation services using AWS serverless stack (Lambda, CDK, S3, Aurora/Postgres) Implement OCR, NLP, and ML for document analysis and automation risk assessment Lead R&D spikes and validate system improvements through robust data analysis Ensure code More ❯
products (we create tools that help them to be compliant, we don't do any auditing). Our stack includes: Python, AWS, CI/CD pipelines, Terraform, Lambda, Aurora, S3, AWS API gateway and Buildkite. We don't expect experience with all of these - the team will support you in learning and developing your skillset, and FanDuel advocates for More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
Motability Operations
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 More ❯
Employment Type: Permanent, Part Time, Work From Home
an eye for detail. What We're Looking For - Skills & Experience Bachelor's degree in Computer Science or equivalent experience Deep experience with AWS in production environments, including EC2, S3, IAM, EKS, and RDS Hands-on experience managing Kubernetes clusters and deploying applications Strong Linux expertise and system-level troubleshooting skills Solid understanding of system administration, security best practices More ❯
cloud-native data pipelines Automating and orchestrating workflows using tools like AWS Glue, Azure Data Factory, or Google Cloud Dataflow Working with platform services such as AmazonS3, Azure Synapse, Google BigQuery, and Snowflake Implementing Lakehouse architectures using tools like Databricks or Snowflake Collaborating closely with engineers, analysts, and client teams to deliver value-focused data solutions More ❯
performance. Collaborating with cross-functional teams (data scientists, software engineers, product managers) to turn business needs into technical solutions. Building and maintaining scalable ML pipelines using AWS (SageMaker, EC2, S3, Lambda, Rekognition). Staying up to date with the latest in ML and computer vision research and applying new techniques to real-world challenges. Contributing to the development of More ❯
