51 to 75 of 85 Amazon SageMaker Jobs in the UK

you familiar with security best practices and compliance standards for AI applications? Do you want to be part of the team helping to establish Amazon Web Services as a leading technology AI platform? Would you like to be part of a team that genuinely focuses on understanding what's … best for the customer and also be valued within as a technical expert? Amazon Web Services is looking for a skilled and motivated Professional Services Data Scientist to help accelerate our growing Data and AI business in the UK and work with our public sector customers. We need passionate … Expertise: Collaborate with field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Bedrock, Sagemaker, and other data services. Experience in architecture, software design and operations in hybrid environments as well as complex projects at scale. Solutions: Demonstrated consulting More ❯

you familiar with security best practices and compliance standards for AI applications? Do you want to be part of the team helping to establish Amazon Web Services as a leading technology AI platform? Would you like to be part of a team that genuinely focuses on understanding what's … best for the customer and also be valued within as a technical expert? Amazon Web Services is looking for a skilled and motivated Professional Services Senior Data Scientist to help accelerate our growing Data and AI business in the UK and work with our public sector customers. We need … Expertise - Collaborate with field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Bedrock, Sagemaker, and other data services. Experience in architecture, engineering, software design and operations in hybrid environments as well as complex projects at scale. Solutions - Demonstrated More ❯

in data analysis and machine learning. Some form of experience in demand/forecast modelling Strong experience with AWS or similar (ideally experience with SageMaker) Familiarity with scenario-based modelling On offer in return is an exciting role that will develop and make a real impact, with a forward More ❯

delivery experience and research We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB, AI/ML architectural patterns and best practices e.g. data 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. 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 More ❯

you want to apply Generative AI algorithms to solve real-world problems with significant impact? Machine learning (ML) has been a strategic focus for Amazon since its early days. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment … computer science or related technical, mathematical, or scientific field. Strong knowledge of deep learning, machine learning, and statistics. Experience with AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2. Hands-on experience with deep learning techniques (e.g., CNN, RNN, LSTM, Transformer), machine learning … CV, GNN, or distributed training. Excellent communication skills, with the ability to explain complex mathematical concepts to non-experts. Amazon is an equal opportunities employer. We value diversity and make recruiting decisions based on experience and skills. We prioritize your privacy and data security, as detailed in our Privacy More ❯

build scalable, secure, and maintainable data pipelines on AWS (Glue, Lambda, Step Functions, S3, Redshift, etc.) Operationalize machine learning models in production environments using SageMaker or custom deployment frameworks Automate and optimize ETL/ELT processes for structured and unstructured data Integrate CI/CD and MLOps best practices … re Looking For: 5+ years of data engineering experience, with 2+ years in a senior role Deep expertise with AWS services (S3, Glue, Lambda, SageMaker, Redshift, etc.) Strong Python and SQL skills; experience with PySpark a bonus Familiarity with containerization (Docker), orchestration (Airflow, Step Functions), and infrastructure as code More ❯

Job Details: Principal Machine Learning Engineer Full details of the job. Job Title: Principal Machine Learning Engineer Job Description: Sage AI is a nimble team within Sage, building innovative services and solutions using generative AI and machine learning to turbocharge More ❯

Facilities Management, Research and Development, Science and Pharmaceutical Role: Professional Contract Type: Permanent Hours: Full Time DESCRIPTION Have you ever ordered a product on Amazon and when that box-with-the-smile arrives, you wonder how it got to you so fast? Ever wondered where it came from and … how much it cost Amazon? Wondered how Amazon designs its transportation network to scale and reliably deliver hundreds of millions of packages to customer's doorsteps? If so, Amazon's EU Fulfillment Optimization team is for you. We use mathematical models, business analytics, algorithm design and statistics … to improve decision-making capabilities across Operations and Amazon Logistics. Our objective is to create a reference for what the ideal transportation network looks like and build scalable audit mechanisms to assess and reduce the gap to the current network. We do so by treating system defects as gifts More ❯

Have you ever ordered a product on Amazon and when that box-with-the-smile arrives, you wonder how it got to you so fast? Ever wondered where it came from and how much it cost Amazon? Wondered how Amazon designs its transportation network to scale and … reliably deliver hundreds of millions of packages to customer's doorsteps? If so, Amazon's Trans Systems Analytics & Customer Experience (TSA & CX) team is for you. We use mathematical models, business analytics, algorithm design and statistics to improve decision-making capabilities across Operations and Amazon Logistics. Our objective … an applied environment. - Experience diving into data to discover hidden patterns and conducting error/deviation analysis. - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2. - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed More ❯

Sr. Delivery Consultant - AI/ML and Generative AI, Professional Services GCC Job ID: AWS ProServe IN - Maharashtra The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work … 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 … extract meaningful insights from complex, large-scale datasets PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications (e.g., Machine Learning Speciality, Machine Learning Engineer Associate, Solutions Architect Professional) preferred - Experience with More ❯

Senior Consultant - AI/ML and Generative AI, Professional Services GCC The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and … and guiding them on creating end to end AI solutions - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications (e.g., Machine Learning Speciality, Machine Learning Engineer Associate, Solutions Architect Professional) preferred - Experience with More ❯

models can be successfully operationalised, monitored, and updated in real-time environments. Key Responsibilities: Design and deploy scalable machine learning pipelines using AWS services (SageMaker, Lambda, ECS/EKS, DynamoDB) and automate infrastructure with CloudFormation, Terraform, or AWS CDK. Implement robust monitoring for model performance and drift with tools … like CloudWatch, SageMaker Model Monitor, ensuring models meet business and compliance requirements. Automate the full machine learning lifecycle, integrating models into CI/CD pipelines (CodePipeline, Jenkins, GitLab CI) for seamless deployment and version control. Collaborate with data scientists and engineers to transition models from development to production, optimizing … machine learning solutions that scale based on real-time data and increasing workloads. Required Skills & Experience: Hands-on experience with AWS services such as SageMaker, Lambda, EKS, EC2, CloudFormation, and DynamoDB for deploying and managing machine learning models. Proficiency in containerization (Docker, Kubernetes) and automating ML pipelines using CI More ❯

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 … 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. Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts. More ❯

for building healthy habits. It includes the best wellbeing and digital health tools in the world. Customers can earn vouchers from great brands like Amazon, Tesco or ASOS for doing simple things like walking or practicing mindfulness. They can even do good by planting trees or cleaning the oceans … systems for both real-time (low-latency) and batch inference use cases Working with AWS and other cloud services (e.g. Fargate, ECS, Lambda, S3, SageMaker, Step Functions) to deploy and monitor models in production Implementing and maintaining CI/CD pipelines for ML workflows, ensuring repeatability and robust version … etc.) Experience in building parallelised or distributed model inference pipelines Nice-to-Have Skills Familiarity with feature stores and model registries (e.g. Feast, MLflow, SageMaker Model Registry) Knowledge of model versioning , A/B testing , and shadow deployments Experience implementing or contributing to MLOps frameworks and scalable deployment patterns More ❯

Business Partner Insight (Network Health) Analyst - Fixed Term Contract, Amazon Logistics At Amazon, we strive to be the most Customer-centric company on earth. We are building a world-class last mile operation, complemented by Delivery Service Partners (DSP). Amazon collaborates directly with DSPs to deliver … review; synthesize large data sets to support organizational initiatives. Onboard data to our data warehouse by building automated pipelines using Python in Lambda or Sagemaker to invoke API calls. Apply statistical techniques for strategic analysis; generate actionable insights and communicate recommendations effectively to senior leadership. Innovate data analysis methods … environments. Bachelor's degree. Excellent verbal and written communication skills. Preferred Qualifications Experience analyzing and presenting results to senior leadership. AWS Cloud Practitioner certification. Amazon is an equal opportunity employer committed to diversity and inclusion. We value your passion to discover, invent, and build. For privacy details, see our More ❯

your customer's outcomes. You are prepared to work in a fast-paced environment, where you will be positively challenged and consistently embrace the Amazon Culture. A day in the life The Solutions Architect team at AWS is responsible for helping customers successfully implement cloud technologies. In a typical … models on accelerated computing (GPU, TPU, AI ASICs) clusters with high-speed networking. - Experience scaling model training and inference using technologies like Slurm, ParallelCluster, Amazon SageMaker. - Experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real … time data processing. 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 ❯

designing and implementing AI-driven solutions, leveraging Large Language Models (LLMs), Generative AI, Open-Source AI tools, and AWS technologies such as Athena and SageMaker . This position requires strong technical expertise, problem-solving skills, and the ability to work collaboratively within a global AI-focused team. Key Responsibilities … machine learning models, with a focus on NLP and Generative AI . Design, implement, and deploy scalable AI solutions using AWS services , including Athena, SageMaker, and Lambda. Work with LLMs and Open-Source AI frameworks , ensuring model efficiency and accuracy. Collaborate with cross-functional teams to integrate AI-driven … and Hugging Face. Extensive experience in NLP and Generative AI , including working with large-scale language models. Proficiency in AWS cloud computing , including Athena, SageMaker, and related AI/ML services. Experience in AI model optimisation, fine-tuning, and deployment in production environments. Strong analytical skills with the ability More ❯

models on accelerated computing (GPU, TPU, AI ASICs) clusters with high-speed networking. Experience scaling model training and inference using technologies like Slurm, ParallelCluster, Amazon SageMaker. Experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real … time data processing. 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 ❯

is essential, with preferred expertise in demand prediction, computer vision, or optimisation. Familiarity with the AWS cloud platform, particularly its AI/ML services (SageMaker and Lambda) and related data processing tools, is also required. This is a fantastic opportunity for a Senior Data Scientist to join a company … Scientist with knowledge of Python AI libraries. Expertise in demand prediction, computer vision, or optimisation (preferred). Familiarity with AWS AI/ML services (SageMaker, Lambda). More ❯

is essential, with preferred expertise in demand prediction, computer vision, or optimisation. Familiarity with the AWS cloud platform, particularly its AI/ML services (SageMaker and Lambda) and related data processing tools, is also required. This is a fantastic opportunity for a Senior Data Scientist to join a company … Scientist with knowledge of Python AI libraries. Expertise in demand prediction, computer vision, or optimisation (preferred). Familiarity with AWS AI/ML services (SageMaker, Lambda). Reference Number: BBBH251711 More ❯

is essential, with preferred expertise in demand prediction, computer vision, or optimisation. Familiarity with the AWS cloud platform, particularly its AI/ML services (SageMaker and Lambda) and related data processing tools, is also required. This is a fantastic opportunity for a Senior Data Scientist to join a company … Scientist with knowledge of Python AI libraries. Expertise in demand prediction, computer vision, or optimisation (preferred). Familiarity with AWS AI/ML services (SageMaker, Lambda). Reference Number: BBBH251711 To apply for this role or to be considered for further roles, please click "Apply Now" or contact Tom More ❯

About The Role 9 Months Fixed Term Contract The Data Science role is responsible for using Data Science and modelling techniques to address critical questions for both the business and our customers. This includes understanding the challenges our customers face More ❯

Experience with GPU/TPU optimization and open-source frameworks like LangChain or LlamaIndex Experience building generative AI applications on AWS using services like Amazon Bedrock and SageMaker We are an equal opportunities employer committed to diversity. Your privacy is important to us; see our Privacy Notice . More ❯