7 of 7 Amazon SageMaker Jobs in Wiltshire

integration challenges. You will help design and deliver high-quality, scalable features, including AI-enhanced flows, predictive monitoring tools, and automation capabilities powered by Amazon Bedrock, Amazon SageMaker, and other modern AI/ML frameworks. You’ll work cross-functionally to translate product vision into technical outcomes … problems, and expectations related to Integration Platforms. Collaborate on the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the … a willingness to collaborate effectively within a team. A keen focus on improving user experience Nice to have: Experience with Integration Platforms. Familiarity with Amazon SageMaker, Amazon Bedrock, or similar ML/AI platforms (or willingness to learn quickly) Exposure to LLMs, vector databases, or embedding techniques More ❯

LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, or similar. Experience with CI/CD for AI (GenAIOps), model monitoring, and cloud platforms: Google Vertex AI, AWS SageMaker, or Azure AI. Knowledge of AI security, model explainability, and Responsible AI principles. Experience building or integrating voice-enabled chatbots and multi-modal systems. More ❯

honesty. Nice to have: Knowledge of R or other programming languages Knowledge of current UK AI/ML compliance and regulation. Experience with AWS Sagemaker Experience with Snowflake Experience with Databricks As an inclusive employer, we want to ensure that all candidates feel comfortable and can perform at their More ❯

honesty. Nice to have: Knowledge of R or other programming languages Knowledge of current UK AI/ML compliance and regulation. Experience with AWS Sagemaker Experience with Snowflake Experience with Databricks As an inclusive employer, we want to ensure that all candidates feel comfortable and can perform at their More ❯

and Azure architecture. There is also an opportunity to get involved in ML projects, and experience in this area (and relevant platforms such as Sagemaker or Azure ML) is desirable but not essential for the role. What We Offer Hybrid working - 2 days a week in the office (SP1 More ❯

space. Responsibilities: Collaborate with cross-functional teams to understand business objectives, data requirements, and analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from various sources into AWS. Apply statistical and machine learning techniques … for predictive and pattern analysis. Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights for product and engagement improvements. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's … skills. Experience with social media analytics and user behavior. Familiarity with big data technologies like Hadoop, Spark, Kafka. Knowledge of AWS ML services like SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and quality within deadlines. Compensation: This More ❯

is currently working with a consultancy client who is looking for an experienced Data Platform/DevOps Engineer, with strong hands-on experience with SageMaker in AWS, for a Data/ML-focused project. The candidate will work in a cross-functional team comprising Platform Engineers, Data Engineers, Machine … with Infrastructure as Code (IaC), especially Terraform Hands-on experience with CI/CD pipelines (GitHub Actions and/or Jenkins) Experience working with SageMaker and Jupyter Notebooks in project settings Knowledge of and experience in MLOps environments This position offers £600-700 per day, inside IR35, initially for More ❯