4 of 4 Amazon SageMaker Jobs in the West Midlands

amount of growth and career opportunities. The ideal candidate must have: Strong Senior Data Engineer with AWS experience AWS data tooling such as S3/Glue/Redshift/SageMaker (Or relevant experience in another cloud technology). Strong experience in developing and automating scalable data pipelines in a Finance related data context. Must have a with a DataOps More ❯

AWS Architect (SageMaker) Fraud Detection Startup (UK Remote) Location: UK (Remote) Salary: £70,000 £75,000 + Equity Job Type: Full-time, Permanent About Us My client is fraud detection/manipulation startup on a mission to protect businesses and consumers from digital fraud in real-time. Using cutting-edge machine learning and scalable cloud infrastructure, were building a … next-generation platform that identifies and prevents fraudulent activity before it happens. As we grow our technical team, were looking for an experienced AWS Architect with strong expertise in Amazon SageMaker to lead the development of our cloud-based ML infrastructure. The Role As our AWS Architect, youll play a key role in designing, building, and optimising our … cloud environment to support advanced machine learning models and real-time fraud detection capabilities. Your Responsibilities: Architect and implement scalable AWS solutions with a focus on SageMaker for training, deploying, and managing ML models. Work closely with data scientists and engineers to deliver reliable, production-grade ML workflows. Ensure best practices for infrastructure security, performance, and cost-efficiency. Automate More ❯

for data science and model development Excellent attention to detail and data quality Clear communication skills and ability to explain complex concepts Familiarity with cloud technologies like AWS and Sagemaker is advantageous Ability to work both independently and as part of a collaborative team TO BE CONSIDERED... Please either apply by clicking online or emailing me directly at . More ❯

for data science and model development Excellent attention to detail and data quality Clear communication skills and ability to explain complex concepts Familiarity with cloud technologies like AWS and Sagemaker is advantageous Ability to work independently and collaboratively within a team Key Skills: R, Python, SQL, AWS More ❯