226 to 250 of 288 Amazon SageMaker Jobs in the UK

working on AI/LLM projects such as testing model accuracy, correctness, completeness, and performance is a plus. Experience with Azure OpenAI Service, AWS Bedrock, and/or AWS Sagemaker is a plus. Experience in software QA methodologies, tools and processes. Experience in mapping test strategies to requirements, creating detailed test cases and test plans, and preparing test data. … with agile software development methodologies such as Scrum or Kanban. Familiarity and/or experience with Microsoft Office, Postman, Jira, Confluence, Bitbucket, Git, TeamCity, Octopus Deploy, Microsoft Azure, and Amazon AWS. Someone who isn't afraid of responsibility, loves learning and sharing, and a down-to-earth personality. Software certifications are a bonus. About Definely At Definely, we're More ❯

in a consultancy, pre-sales, or technical advisory role. Knowledge and experience of one or more of the following key data technologies; Azure Fabric, SQL Server, Databricks, Snowflake, AWS Amazon Sagemaker, Oracle or equivalents. Proposal & Communication Expertise Strong written and verbal communication skills, with a proven ability to articulate complex concepts to technical and business audiences. Experience of More ❯

Engineering Have you ever been shown an irrelevant ad? How about and an embarrassing one with a child or parent watching? Here, you can help us be part of Amazon's solution to ensuring you and millions of customer like you never face this. Here, you can help us make a world wide impact on the Amazon Advertising … experience. Amazon is investing in building a world class advertising business and our team is responsible for ensuring that the ads served to customers meet the same high quality bar that you've come to love and trust. We're looking for an outstanding candidate to join us as a full-time Software Development Engineer. You will work as … data technologies such as AWS Lambda, ECS, Elastic Search, DDB, SQS, SNS, Apache Spark, and EMR. About the team The Advertising Trust (AT) organization is at the center of Amazon Ads, one of Amazon's fastest growing businesses. Every ad that flows through our Amazon systems, or is presented on one of our owned and operated sites More ❯

potential. Essential foundational skills include: Deep proficiency in Python or JavaScript/TypeScript and associated AI/ML SDKs. Solid experience with cloud platforms, specifically AWS (including services like SageMaker, Lambda, S3). Preferred Skills We value experience with deploying and managing open-source models. Our front-end stack includes React/Next.js, so familiarity here is beneficial. Additional More ❯

Scientists to build and optimize ML models that improve the accuracy and efficiency of the search engine. Prior experience in similar projects is highly beneficial. Proficiency in Python, AWS, SageMaker, and A/B Testing Experience with AI/ML search engine projects Effective communication skills and ability to work under pressure Position inside IR35 Immediate start preferred If More ❯

in Data Science & ML Expert in Python , data wrangling, EDA, modelling, validation, and deployment Strong in supervised & unsupervised learning ; exposure to NLP/OCR a plus Proficient with AWS SageMaker , Databricks ; Palantir Foundry/AIP is a big plus Insurance/underwriting/claims background is a bonus Confident communicator with client-facing experience 🎯 Interview Process: Round 1: Technical More ❯

in Data Science & ML Expert in Python , data wrangling, EDA, modelling, validation, and deployment Strong in supervised & unsupervised learning ; exposure to NLP/OCR a plus Proficient with AWS SageMaker , Databricks ; Palantir Foundry/AIP is a big plus Insurance/underwriting/claims background is a bonus Confident communicator with client-facing experience 🎯 Interview Process: Round 1: Technical More ❯

What you’ll bring: 8+ years in software/AI engineering, with 3+ focused on ML systems Python + JavaScript, Transformers, LangChain, vector DBs (e.g. Pinecone) MLOps, cloud AI (SageMaker, Bedrock), containerized environments (K8s, Docker) Experience building production AI systems that scale and handle sensitive data 🌍 The setup: Hybrid (Belfast office) with flexibility Collaborative, mission-driven team with a More ❯

Experience Interviews ongoing don't miss your chance to secure the future of your career! Contact me @ or on . Data Science, Data Scientist, AI, ML, Random Forest, Databricks, SageMaker, Regression, Gradient Boosting, NLP, Palantir, Insurance, Banking More ❯

miss your chance to secure the future of your career! Contact me @ (url removed) or on (phone number removed). Data Science, Data Scientist, AI, ML, Random Forest, Databricks, SageMaker, Regression, Gradient Boosting, NLP, Palantir, Insurance, Banking More ❯

miss your chance to secure the future of your career! Contact me @ j.shaw- bollands@tenthrevolution.com or on 0191 338 6641. Data Science, Data Scientist, AI, ML, Random Forest, Databricks, SageMaker, Regression, Gradient Boosting, NLP, Palantir, Insurance, Banking #J-18808-Ljbffr More ❯

data quality Ability to work both independently and collaboratively in a team environment Proficiency in R Solid knowledge of SQL Working experience with Python Familiarity with Cloud environments: AWS & Sagemaker would be advantageous More ❯

training (data and model parallelism). Experience working on biological data curation, including data cleansing and preprocessing of -omics datasets. Exposure to cloud-based ML orchestration frameworks such as Sagemaker and Vertex AI. Experience with model deployment in an enterprise setting. For immediate consideration please send your most up to date CV to jason@enigma-rec.ai Seniority level : Mid More ❯

other relevant languages and technologies such as Java, LangGraph, MCP, Agentic Workflows, Knowledge Graphs, Vector search, and no/low-code frameworks. Familiarity with platforms like Microsoft OneLake, AWS Sagemaker, Databricks, and Snowflake. Work in a Way that Works for You: We promote a healthy work/life balance across the organization. We offer an appealing working prospect for More ❯

learn from and mentor some of the brightest minds and friendliest people in the industry! - You work with some of the best tech in the industry, such as AWS SageMaker for ML, DBT for data processing along with standard analytical tools like Python, Redshift, Tableau etc. - All our decisioning systems are built in-house, meaning that we have nearly More ❯

other relevant languages and technologies such as Java, LangGraph, MCP, Agentic Workflows, Knowledge Graphs, Vector search, and no/low-code frameworks. Familiarity with platforms like Microsoft OneLake, AWS Sagemaker, Databricks, and Snowflake. Work in a way that works for you: We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for More ❯

React Native (iOS and Android) Typescript GraphQL (Apollo Client) Fastlane SwiftUI (Apple Watch) Maestro E2E tests Backend: Serverless (AWS) Lambdas (NodeJS & Python) AWS AppSync DynamoDB, S3, SQS, SNS, EventBridge, SageMaker Postman API tests All the other good stuff: Sentry GitHub Actions Intercom, Mixpanel RevenueCat App Store Connect/Play Store Figma Software Engineer Interview Process Our aim is to More ❯

find a small reflection of our current tech stack: Frontend: React Native (iOS and Android) Typescript Fastlane SwiftUI (Apple Watch) Serverless (AWS) AWS AppSync DynamoDB, S3, SQS, SNS, EventBridge, SageMaker Postman API tests All the other good stuff: Sentry GitHub Actions Intercom, Mixpanel RevenueCat App Store Connect/Play Store Figma Software Engineer Interview Process Our aim is to More ❯

find a small reflection of our current tech stack: Frontend: React Native (iOS and Android) Typescript Fastlane SwiftUI (Apple Watch) Serverless (AWS) AWS AppSync DynamoDB, S3, SQS, SNS, EventBridge, SageMaker Postman API tests All the other good stuff: Sentry GitHub Actions Intercom, Mixpanel RevenueCat App Store Connect/Play Store Figma Software Engineer Interview Process Our aim is to More ❯

Solutions Architect - Data Modernization Searce means ‘a fine sieve’ & indicates ‘to refine, to analyze, to improve’. It signifies our way of working: To improve to the finest degree of excellence, ‘solving for better’ every time. Searcians are passionate improvers More ❯

Contract AWS Solutions Architect/Engineer Day rate - D.O.E UK Wide Fully Remote (Must be UK based) Fruition Group are helping one of the highest regarded AWS Consultancies in the UK look for multiple AWS Architects/AWS Engineers to More ❯

Software Development Engineer, NextGen Security Automation Job ID: 2902838 | Amazon UK Services Ltd. At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate … healthcare, operations, and physical stores. The NextGen Security Automation team is looking for a skilled and driven Software Development Engineer (SDE II) to build autonomous security solutions that protect Amazon’s customers. As an SDE II, you will leverage AI/ML technologies to automate detection, analysis, and response across proactive, offensive, and defensive security at scale. Your work … will directly enhance Amazon’s security posture by improving detection capabilities, strengthening guardrails, and advancing automated security tools. Key job responsibilities Design and develop AI/ML-driven security automation systems to detect and mitigate threats at scale. Build and maintain scalable applications that enable real-time threat detection and response. Collaborate with security teams to enhance existing security More ❯

high impact projects that use the latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services, we're hiring highly technical cloud architect specialised in data analytics to collaborate with our customers and partners to derive business value from latest in analytics services. … decisions and desired customer outcomes. Key job responsibilities Expertise - Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker and Amazon Quicksight. Solutions - Deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery - Engagements include projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and More ❯

candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most … and orchestration approaches - Hands-on experience with model customization techniques such as fine-tuning, continued pre-training, and LLM-as-judge evaluation - Experience with optimization of models on GPUs, Amazon Silicon, or TPUs, also experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools - Experience building generative AI applications on … AWS using services such as Amazon Bedrock and Amazon SageMaker Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of More ❯

Power BI, Qlik, etc.) Familiarity with predictive analytics and AI, e.g. machine learning Working knowledge of data platforms such as Snowflake and Databricks; ML platforms such as Azure ML, Amazon SageMaker, Google Vertex, etc; as well as R and/or Python Familiarity with web technologies such as JavaScript, security protocols, application integration, and embedding Degree or equivalent More ❯