76 to 100 of 146 Amazon SageMaker Jobs in England

Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g. Sagemaker pipelines, Azure ML Studio, VertexAI, Kubeflow, MLFlow, Seldon, EvidentlyAI More ❯

Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g. Sagemaker pipelines, Azure ML Studio, VertexAI, Kubeflow, MLFlow, Seldon, EvidentlyAI More ❯

working with large data sets and a mathematical and analytical mindset. They are looking for senior engineers to join the team working with AWS SageMaker for AI and ML, as well as research and cleansing of data sets. Seniority Level Mid-Senior level Employment Type Full-time Job Function More ❯

PyTorch) Prior exposure to synthetic data is a plus Strong skills in Python Experience in setting up GPU-based training environments (e.g., Lambda, Runpod, Sagemaker) Company: Robert Walters Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates. #J-18808-Ljbffr More ❯

experience with Gen AI application monitoring tools such as Arize Pheonix and LangSmith. Hands-on experience with cloud AI platforms (Google Vertex AI, AWS SageMaker, Azure AI). Knowledge of GenAIOps, AI security, and responsible AI best practices . Ability to lead AI initiatives, mentor teams, and drive innovation More ❯

data. Understand the PMML and ONNX model portability standards. Have experience with Teradata partner's analytical products, Cloud Service providers such as AzureML and Sagemaker and partner products such as Dataiku and H2O. Have strong hands-on programming skills in at least one major analytic programming language and/ More ❯

data. Understand the PMML and ONNX model portability standards. Have experience with Teradata partner's analytical products, Cloud Service providers such as AzureML and Sagemaker and partner products such as Dataiku and H2O. Have strong hands-on programming skills in at least one major analytic programming language and/ More ❯

out the team. We're migrating to the Snowflake platform along with other tooling as part of the modern data stack such as AWS (Sagemaker). You'll design and implement the infrastructure and tools that enable the development and deployment of machine learning models. In this role, you More ❯

tried before. Challenge conventional wisdom about what's possible with current AI technologies. Required Skills & Experience: Experience with AWS AI services (e.g., AWS Bedrock, SageMaker Studio, Lambda, EKS) and/or Azure AI services (e.g., Azure OpenAI, Azure Cognitive Service, Azure ML). Experience with designing, building and operating More ❯

Proven experience in data and AI architecture, with a track record of delivering impactful, scalable solutions. Experience with platforms like Snowflake, dbt, and AWS SageMaker/Bedrock, as well as both traditional and generative AI methods. Strong commercial mindset with the ability to align technical innovation with business objectives. More ❯

Proven experience in data and AI architecture, with a track record of delivering impactful, scalable solutions. Experience with platforms like Snowflake, dbt, and AWS SageMaker/Bedrock, as well as both traditional and generative AI methods. Strong technical mindset with the ability to align technical innovation with business objectives. More ❯

solutions to drive strategic direction? Based in Tokyo, the JP Science and Data Technologies team designs, builds, operates, and scales the data infrastructure powering Amazon's retail business in Japan. Working with a diverse, global team serving customers and partners worldwide, you can make a significant impact while continuously … strategic data opportunities. Key Job Responsibilities Your key responsibilities include: Create data solutions with AWS services such as Bedrock, Redshift, S3, Glue, EMR, Lambda, SageMaker, CloudWatch etc. Implement Generative AI and ML models by developing robust and scalable data architectures. Develop and improve the operational excellence, data quality, monitoring … modeling, data warehousing, ETL/ELT pipelines and BI tools. Experience with cloud-based big data technology stacks (e.g., Hadoop, Spark, Redshift, S3, Glue, SageMaker etc.) Knowledge of data management and data storage principles. Experience in at least one modern object-oriented programming language (Python, Java). Business level More ❯

/ML pipelines, APIs, dashboards, and cloud infrastructure Help design secure-by-default AI workflows (from data ingestion to deployment) Work across tools like Amazon SageMaker, Azure OpenAI, AWS Bedrock, Hugging Face, etc. Stay ahead of AI privacy, compliance and attack trends Contribute to client work, internal R More ❯

/ML pipelines, APIs, dashboards, and cloud infrastructure Help design secure-by-default AI workflows (from data ingestion to deployment) Work across tools like Amazon SageMaker, Azure OpenAI, AWS Bedrock, Hugging Face, etc. Stay ahead of AI privacy, compliance and attack trends Contribute to client work, internal R More ❯

background in semantic search, experimentation, and full-stack data science. Participation in Kaggle competitions or similar achievements is a bonus. Tech Stack : Experience with SageMaker, Airflow, and cloud platforms such as Azure or GCP. Mindset : Highly impact-driven, with a clear focus on delivering measurable business outcomes. Why Join More ❯

performance tuning of cloud-based applications and services Nice to haves: (MLOps): Model Deployment & Serving – Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance. Monitoring & Retraining – Set up model drift detection, performance monitoring, and automated retraining. ML Pipelines & CI/CD – Automate More ❯

Language Models) performance, suitability, training requirements, and deployment Cloud & Hyperscalers - Practical experience with at least two of the following is required: AWS Bedrock/Sagemaker, Google Vertex AI, OpenAI and Azure ML An understanding of underlying statistics, machine learning and data science, data engineering and big data concepts An More ❯

Business Analyst II, Global Data Analytics At Amazon, our goal is to be earth’s most customer-centric company and to create a safe environment for both our Customers and our associates. If you'd like to help us build the place to find and buy anything online, this … and driven by a desire to innovate in this space. Responsibilities Creating automated reports and dashboards with a combination of BI tools such as Amazon Quicksight, Tableau. Partnering with program team, Legal, and Tech stakeholders to understand challenges and provide analysis to help drive program success. Providing data support … insights. Experience with SQL. Experience making business recommendations and influencing stakeholders. PREFERRED QUALIFICATIONS Experience working with data visualization tools like Tableau, Power BI or Amazon Quicksight. Experience managing multiple projects delivery simultaneously. Familiarity with AWS tools like S3, Amazon Redshift, AWS Glue, Amazon Athena, AWS Sagemaker More ❯

and optimisation. Work with large-scale structured and unstructured datasets, leveraging AWS big data services . Develop ML pipelines using AWS services such as SageMaker, Lambda, Glue, Redshift, and Athena . Implement feature engineering, model training, and hyperparameter tuning for scalable ML solutions. Collaborate with data engineers and analysts … strong focus on AWS cloud solutions. Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) and SQL . Hands-on experience with AWS services (SageMaker, Lambda, Glue, Redshift, Athena, S3). Strong understanding of ML model development, deployment, and monitoring . Experience with big data processing frameworks (Spark, EMR More ❯

Stack You'll Be Working With Languages : Python, SQL (Postgres) ML/AI Libraries : TensorFlow, PyTorch, scikit-learn, Pandas/Polars Infrastructure : Docker, AWS Sagemaker, EKS, Lambda, Athena Orchestration & Data Tools : Dagster (or Airflow), ClickHouse, MLFlow We pride ourselves on being technologically adaptable. While the above is our current … skills. Experience with tooling for model deployment, monitoring, and performance analysis. Nice-to-Haves: Domain knowledge in retail or e-commerce. Familiarity with AWS (Sagemaker, EKS, Lambda, Athena). Experience with MLFlow or similar model management tools. Familiarity with Dagster or similar orchestration tools (e.g., Airflow). What Autone More ❯

a deep passion and desire to engineer and operate the world's largest cloud computing infrastructure to provide a better world for future generations? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web … we need exceptionally motivated people who are driven by learning and innovation. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s … AI/ML team helps to support and operate some of the most comprehensive artificial intelligence and machine learning services in the world. From SageMaker to Bedrock to Amazon Q, the AI/ML team manage some of the most exciting, rapidly evolving services in AWS. If you More ❯

Software Development Engineer, NextGen Security Automation Job ID: 2902844 | 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 … 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 More ❯

Pytorch, TensorFlow. Proven knowledge of Generative AI and hands-on experience building applications with large foundation models. Experience related to AWS services such as SageMaker, EMR, S3, DynamoDB, and EC2; hands-on experience of building ML solutions on AWS. Strong communication skills, with attention to detail and ability to … convey rigorous mathematical concepts and considerations to non-experts. 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. Posted … October 16, 2024 (Updated about 12 hours ago) Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected More ❯

TensorFlow. Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models. Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB, and EC2, hands-on experience of building ML solutions on AWS. Strong communication skills, with attention to detail and ability to … convey rigorous mathematical concepts and considerations to non-experts. 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 … priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race More ❯

closed source models and making quality, speed and cost decisions). Experience applying AIOps/LLMOps best practices, incl. prompt engineering. Experience with AWS (SageMaker, Bedrock, ECS, EC2, RDS, Networking, CloudWatch). Experience with Infrastructure as Code (Pulumi, Terraform) and using CI/CD best practices. Job Description: Speaking More ❯