20 Amazon SageMaker Jobs in London

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 »

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 »

learning, deep learning, natural language processing, computer vision, etc. Knowledge of multiple AI frameworks and platforms, such as TensorFlow, PyTorch, Keras, Azure AI, AWS Sagemaker and Bedrock, etc. Experience of designing and deploying Generative-AI based solutions Knowledge of AI architectures, patterns, and best practices, such as microservices, RESTful 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 »

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 »

learning algorithms applied to solving business problems. Proficiency in Python and popular Data Science frameworks (e.g. pytorch, pandas, numpy etc) and MLOps platforms (e.g. Sagemaker) Solid understanding of metrics, benchmarking and evaluation methodology AI-powered user-facing products. Experience working in highly collaborative environments with complex technical dependencies. Proven 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 »

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 more »

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 »

for everybody. Your responsibilities: Work together with the AI labs, Data, Infrastructure, and Platform teams to design and deploy ML-based services using AWS Sagemaker and other cloud based solutions. Analyse current AWS account setup for data scientists & MLEs and improve it together with StSt MLE & DevOps experts. Understand more »

Key skills/knowledge/experience: Experience of AWS Data platform experience including AWS-EMR Cluster Platform, Glue, EC2, S3, VPC, IAM, RDS, Redshift, Sagemaker, Lake formation and Glue catalogue. Data Storage Fundamentals. Cloud specific patterns and technologies. AWS Service Selection, Container design. Designing DevSecOps pipelines. Experience in data 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 »

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 »

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 »

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 »

for everybody. Your responsibilities: Work together with the AI labs, Data, Infrastructure, and Platform teams to design and deploy ML-based services using AWS Sagemaker and other cloud based solutions. Analyse current AWS account setup for data scientists & MLEs and improve it together with StSt MLE & DevOps experts. Understand … Labs teams to advance current ML workflows and software development standards. Qualifications Your skills and qualifications Industry experience in AWS ML services, including AWS Sagemaker Experience in DevOps, Cloud Operations, ML-engineering, AWS administration and permission management. Expertise with building enterprise scale ML & LLM solutions, Docker, IaC (Terraform), CI 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 »

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 »

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