1 to 22 of 22 Permanent Amazon SageMaker Jobs in the UK

robust ML frameworks. What experience you’ll need to apply Proven track record in designing and implementing MLOps pipelines. Experience with MLOps frameworks, particularly SageMaker and MLFlow. Strong programming skills in Python, with production environment experience. Expertise in infrastructure management using Terraform/similar. Strong interpersonal skills to engage more »

using Python and the AWS Cloud Development Kit. You'll use a variety of services such as SNS, SQS and Lambda for event streams, Amazon Redshift, S3 and AWS Glue for data storage & reporting and Amazon SageMaker for our pioneering machine learning products. We are a growing … work with our colleagues across ECS to help them use our services. Python andAWS Services such as S3, Kinesis, Lambda, Redshift, DynamoDB, Glue and SageMaker Infrastructure-as-Code tools and approaches (we use the AWS CDK with CloudFormation) Data processing frameworks such as pandas, Spark and PySpark Machine learning more »

deploying industrial grade AI solutions •Experience in using AI frameworks, trending models and libraries, such as TensorFlow, PyTorch, GPT, Gemini, LaMDA, LangChain, Vertex AI, SageMaker, etc •Experience in using cloud services and platforms, such as GCP, AWS, etc •Enthusiasm, strong analytical mind, willingness to learn and desire to make more »

Shell script Understanding of Python Good understanding on AWS services (EC2, ECS, EKS, API Gateway and Serverless technologies) Good understanding of Bederock, Kendra and SageMaker Integration Engine tools: Apache Camel and Active MQ for messaging, web services and distributed systems Public Sector domain experience preferable more »

AWS landing zones Proficiency in using Terraform for infrastructure as code Experience in Site Reliability Engineering (SRE) practices Familiarity with AWS AI services (e.g., SageMaker, Rekognition) Knowledge of containerisation technologies like Docker and Kubernetes Understanding of DevOps principles and CI/CD methodologies Excellent problem-solving and communication skills more »

Services like CodeDeploy, CodePipeline is a plus, The ideal candidate would be open to learning LLMOps as part of their role, Prior experience with SageMaker is a plus, Excellent written and verbal communication skills in English language. OBSS is proud to be an equal opportunity workplace and is an more »

with data engineers to manage and optimise data pipelines Implement data governance and data management best practices Work with AWS tools, including Glue and SageMaker, to build and scale ML solutions Ensure the scalability and performance of machine learning solutions Participate in code reviews and contribute to the improvement … development processes Key Skills and Qualifications: Proven experience in machine learning and data engineering Proficiency in Python Experience with AWS services, particularly Glue and SageMaker Strong understanding of data governance and data management principles Ability to work collaboratively in a team environment Excellent problem-solving skills and attention to more »

ideas to diverse audiences. Ability to work in a collaborative team environment and manage multiple projects simultaneously. Experience working with the AWS + Services (Sagemaker or equivalent) Desirables: A financial technology background Experience with SQS or Kafka Prior work with CI/CD tools Prior work with a transformation more »

/Python-based REST APIs, and API specifications using Swagger/OpenAP Functional programming and object-orientated programming AWS services (including Kinesis, ECR, Lambdas, SageMaker and DynamoDb) or other cloud services Sound understanding of risk and risk mitigation design in relevant areas, including (but not limited to) fraud, financial more »

airports. What you'll be doing Designing and implementing machine learning models with a focus on computer vision and AWS Machine Learning Services like SageMaker You'll be playing a pivotal role in developing and deploying machine learning solutions for visual detections, forecasting, and dwell analyses. Taking ownership of … mechanisms. What you'll need Extensive experience in building, maintaining and deplying machine learning models AWS Machine Learning Services: understanding of AWS ecosystems and SageMaker Strong background in designing and managing data warehouses and lakes Any experience with Nvidia Jetson or equivilent embedded devices is a massive bonus more »

to life for business stakeholders and equally convey business needs effectively to technical audiences. Knowledge in working with at least one cloud platform AWS (SageMaker), GCP (Vertex AI), Azure (Azure ML). A growth mindset - Ability to assess the value Machine Learning brings to the business. An excellent understanding 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 »

Diversity and Inclusion. Role : Machine Learning engineer Key Responsibilities Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Sagemaker and more. Help our customers to remove the … Solution Architects, Data Scientists and Service Engineering teams Experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties Develop and define key business questions … and implement them as part of data pipeline IT platform implementation experience Experience with one or more relevant tools ( Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis) Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc) Current hands-on implementation experience required Preferred Qualifications Masters 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 »

Scientists and Software Engineers to develop and productionise a greenfield NLP product. Experience required (min. 5 years): NLP MLOps with Cloud (AWS w/SageMaker preferred, other clouds also considered) End-to-end ML experience Other details: Up to £650 per day outside IR35 3 stage interview process more »

platform is looking for a Principal Data Engineer to take a lead on several aspects of their data platform built in Python, Airflow, Kafka, Sagemaker, AWS and GCP. 💰 Salary: up to £130k + 15% bonus 📍 Location: can be based anywhere in the UK ✅ Must have requirements: Mastery of Python more »

models to build a better future where a new job is just a click away. Your responsibilities: Implement and productionise ML-based services using Sagemaker Collaborate with Data Scientists to design and implement LLM-based inference workflows Utilize IaC and CI/CD best practices to increase efficiency in … years of experience in Machine Learning Engineering, Data Engineering, or a related field Proficiency in production-level Python (Clean, SOLID) and industry experience with Amazon Sagemaker deployment of LLMs Experience with LLM-related packages, such as PyTorch, Transformers etc. Experience with IaC (Terraform), CI/CD, and test 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 »