1 to 25 of 32 Amazon SageMaker Jobs in the UK

or equivalent experience. Experience creating LLM & RAG driven applications. Proficiency in programming with tools like Python, TensorFlow, and PyTorch. ML Deployment with services like Sagemaker, AzureML, VertexAI etc. A keen understanding of AI ethics and responsible AI deployment. Innovative thinking and excellent problem-solving abilities. Desirable skills: Experience with more »

Bert, Roberta, GPT4, etc. and NLP Open-Source Libraries. Strong commercial experience with Python and NLP tooling, Previous commercial exposure to LLM, GPT4, AWS, SageMaker Excellent communication skills and ability to engage with teams and colleagues. Benefits: Competitive salary up to £85 000 Outstanding career progression opportunities. Flexible working more »

store, manage, query and visualize big datasets. Create data and metric visualization tools, web UI dashboards for model performance and data drift monitoring. AWS Sagemaker, Terraform About you (ideally): We hire based on personality, potential, and enthusiasm to make a difference, then we give you the tools and skills … Demonstrable professional experience in analysis and advanced modelling/machine learning techniques to solve business problems using large scale, complex data sets Technical Insight: Amazon SageMaker; Particularly SageMaker Pipelines, Endpoints, Batch Transformation/Inference, o Ideally SageMaker Studio and related technologies Amazon MLOps technologies; IAM more »

EC2, ECR, ECS, Glue, Lambda, S3, Cloud Formation, Cloudwatch etc. Have proven experience deploying models and ML pipelines at scale, including experience using AWS SageMaker and/or Google Cloud AI. Support and drive implementation of features around NLP and LLMs. Tackle challenges related to user recommendation/matching more »

EC2, ECR, ECS, Glue, Lambda, S3, Cloud Formation, Cloudwatch etc. Have proven experience deploying models and ML pipelines at scale, including experience using AWS SageMaker and/or Google Cloud AI. Support and drive implementation of features around NLP and LLMs. Tackle challenges related to user recommendation/matching more »

in Python Familiarity with machine learning frameworks (like PyTorch) and libraries (like Natural Language Toolkit) Experience with AWS (ideally with Bedrock and/or SageMaker) Experience with agile development (Scrum) is a plus Experience working on a remote team Fluent in written and spoken English Responsibilities Include Design and more »

on user behaviour, personalisation and more. Ideally develop the core-logic for a personalisation algorithm Work in their technical environment of AWS, Snowflake and Sagemaker YOUR SKILLS AND EXPERIENCE The successful Data Scientist will have the following: Strong Python, AWS, Snowflake and Sagemaker Experience working in a product … your interest please send your CV to Luke via the apply link on this page Desired Skills and Experience - Strong Python, AWS, Snowflake and Sagemaker - Experience working in a product-first environment for a user-focused brand in a sector such as Video gaming, gambling, eCommerce, tech, etc. - Excellent more »

months Contract, Inside IR35 Delivery of AWS-based data & analytics capabilities, built on foundational services such as EMR, Glue, MWAA, Dynamo, Kinesis, Kafka and Sagemaker AWS Cloud Data Platforms Architecture and AWS Cloud Security & Infrastructure Insurance or Regulated Financial Services Industries Solutioning within a modern data architecture context such more »

At Amazon, we're working to be the most customer-centric company on earth. One customer experience that were constantly taking to new levels is how we fulfill and deliver customers orders. Our goal is to delight our customers by delivering their packages quickly and accurately, anywhere in the … world. To meet this goal, Amazon is continually striving to innovate and provide best-in-class service levels by pioneering new products and services in the last mile delivery space. Come join the team and help us work hard, have fun, and make history! The EU DSP Management team … new, step-change initiatives for the organization. Onboarding data to our data warehouse by building automated data pipelines utilizing eg Python in Lambda or Sagemaker to invoke API calls. Using statistical techniques and tools for strategic deep dives; generating actionable insights and effectively communicating recommendations to senior leadership. Inventing more »

intelligence, machine learning, natural language processing, computer vision, or related field 3+ years experience writing production ready code Prior experience with AWS Cloud stack (SageMaker, EC2, Lambda, S3, RDS) Benefits Competitive salary Remote working Participation in our share option scheme Pension enrolment 25 days holiday more »

of hands-on experience in machine learning, with a strong emphasis on ML operations. Proficiency in working within an AWS environment, including services like SageMaker, Lambda, and EC2. Solid background in data engineering, with a deep understanding of data pipelines, ETL processes, and data architecture. Expertise in deploying and more »

pipelines. This role is critical in ensuring the high performance and reliability of our AI-driven solutions. Responsibilities: Deploy LLMs using platforms like Huggingface, Sagemaker, or similar. Manage deployment on multiple GPUs, ensuring optimal performance. Implement scaling and load balancing to handle varying loads efficiently. Design and maintain data more »

certifications on the training platform of your choice. As a Senior Solution architect, you'll be implementing and driving large-scale cloud implementations on Amazon AWS. Other duties include: Architecting and implementing cloud solutions for different applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of … with application development teams on same Cloud technology, ideally AWS including PaaS services such as S3, Lambda, Step Functions, ECS, Docker, SNS, SQS, Kinesis, SageMaker etc. Understanding of distributed application design, patterns, and experience producing design diagrams and documenting standards Qualifications Security Clearance eligible. You musthavethe right to work more »

certifications on the training platform of your choice. As a Senior Solution architect, you'll be implementing and driving large-scale cloud implementations on Amazon AWS. Other duties include: Architecting and implementing cloud solutions for different applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of … with application development teams on same Cloud technology, ideally AWS including PaaS services such as S3, Lambda, Step Functions, ECS, Docker, SNS, SQS, Kinesis, SageMaker etc. Understanding of distributed application design, patterns, and experience producing design diagrams and documenting standards Qualifications Security Clearance eligible. You musthavethe right to work more »

certifications on the training platform of your choice. As a Senior Solution architect, you'll be implementing and driving large-scale cloud implementations on Amazon AWS. Other duties include: Architecting and implementing cloud solutions for different applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of … with application development teams on same Cloud technology, ideally AWS including PaaS services such as S3, Lambda, Step Functions, ECS, Docker, SNS, SQS, Kinesis, SageMaker etc. Understanding of distributed application design, patterns, and experience producing design diagrams and documenting standards Qualifications Security Clearance eligible. You musthavethe right to work more »

certifications on the training platform of your choice. As a Senior Solution architect, you'll be implementing and driving large-scale cloud implementations on Amazon AWS. Other duties include: Architecting and implementing cloud solutions for different applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of … with application development teams on same Cloud technology, ideally AWS including PaaS services such as S3, Lambda, Step Functions, ECS, Docker, SNS, SQS, Kinesis, SageMaker etc. Understanding of distributed application design, patterns, and experience producing design diagrams and documenting standards Qualifications Security Clearance eligible. You musthavethe right to work more »

certifications on the training platform of your choice. As a Senior Solution architect, you'll be implementing and driving large-scale cloud implementations on Amazon AWS. Other duties include: Architecting and implementing cloud solutions for different applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of … with application development teams on same Cloud technology, ideally AWS including PaaS services such as S3, Lambda, Step Functions, ECS, Docker, SNS, SQS, Kinesis, SageMaker etc. Understanding of distributed application design, patterns, and experience producing design diagrams and documenting standards Qualifications Security Clearance eligible. You musthavethe right to work more »

engineering practices sch as CI/CD. Experience deploying/monitoring machine learning models and following best practices. The Ability to develop pipelines using SageMaker, MLFlow or similar frameworks. Strong experience with data programming frameworks such as Apache Spark. Understanding of common Data Science and Machine Learning models, libraries more »

ML to drive innovation and solve complex problems. You will shape the design of the AI systems (classical ML & LLMs) on AWS and AWS Sagemaker and drive best practises when it comes to Infrastructure as code, CICD and other cloud native deployment approaches. Key Responsibilities: Develop and deploy scalable … degree or higher in Mathematics, Science, Computer Science, or a related field. Expertise building enterprise scale ML & LLM solutions. Proficiency with AWS services, including SageMaker, S3, and EC2. Strong programming skills in languages such as Python, Java, or Scala. Excellent problem-solving abilities and a proactive mindset towards tackling more »

Engineering Manager Type : Permanent Location : London Onsite Requirements : Hybrid - 2/3 days a week Salary : Ranging between £110,000 - £150,000 A leading global SaaS business at the forefront of cutting-edge technology are seeking a talented Engineer Manager more »

Python, R, or SQL, and experience with data manipulation and analysis tools such as Jupyter Notebook. Experience in using Data science Platforms like Anaconda, Amazon SageMaker. Experience in stand-alone environment and open-source tool for ML such as TensorFlow. Experience with cloud-based data platforms (eg, AWS, Azure more »

and Engineering Teams to drive innovation and excellence About you Ability to Design and implement MLOps pipelines on AWS Experience with MLOps Frameworks, mainly SageMaker and MLFlow Strong programming experience in production environments (Python) Strong infrastructure knowledge (Terraform) Experience with DevOps tools (Docker, Kubernetes) Experience with integrating with data more »

leading a data science team and managing complex projects. Expertise in machine learning, statistics, data management, and relevant technologies (e.g., Python, R, SQL, AWS SageMaker, Apache Airflow, Dbt, AWS Kinesis). Strong communication skills with the ability to explain complex data concepts to a non-technical audience. Knowledge of more »

Good grasp of architecture and how best to integrate machine learning into backend services. Some experience with MLOps processes and tools. Experience with AWS SageMaker would be ideal. Understanding of CI/CD & DevOps principles. Experience working with cloud environments. If you feel you meet most, but not all more »

Previous role as an MLOps engineer Use of ML frameworks e.g. pytorch, tensorflow Familiarity with MLOps platforms e.g. Kubeflow, MLFlow, Tensorflow Extended, ClearML, VertexAI, Amazon SageMaker Experience deploying ML models in production environments Benefits We provide: Competitive salary, benchmarked against the market and reviewed annually Hybrid and/ more »