26 to 44 of 44 Remote Amazon SageMaker Jobs

datasets. Optimize embeddings for semantic search and document retrieval tasks. Model Deployment & Optimization: Deploy ML models in production environments using cloud platforms like AWS SageMaker, ECS or equivalent tools. Ensure scalability, reliability, and low latency in production systems while monitoring model performance. Implement CI/CD pipelines for ML … Opensearch, Pinecone, Weaviate). API Development: FastAPI, Flask, Django Containerization: Docker, AWS ECS, Kubernetes Cloud & Data Tools: Experience with cloud platforms such as AWS (SageMaker preferred), GCP Vertex AI, or Azure ML for deploying ML models. Familiarity with SQL or NoSQL databases for data extraction and preprocessing tasks. Problem More ❯

Keras) Experience with NLP and computer vision models Strong understanding of machine learning algorithms and statistical modeling Experience with cloud-based AI platforms (AWS SageMaker, Google Cloud AI Platform) Excellent problem-solving and communication skills More ❯

TensorFlow, PyTorch or JAX . Knowledge of event-driven architectures and messaging systems (Kafka, Redis Streams, RabbitMQ). Proficiency in cloud AI services (AWS SageMaker, Azure AI, Google Vertex AI). Experience with multi-agent coordination & communication protocols . Familiarity with observability & logging tools (Prometheus, OpenTelemetry, ELK). Strong More ❯

cloud security for services and infrastructure. Experience with Kubernetes (K8S) is a plus. Cloud Expertise: Familiarity with AI infrastructure on AWS and GCP, including Sagemaker, Vertex, Triton, and GPU computing. LLM Deployment: Experience with local (cloud) deployment of OpenSource LLM, like LLAMA, DeepSeek. Bonus Points: Experience with Airbyte and More ❯

grow a diverse team who are geographically dispersed. Comfortable using a multi-platform stack to deliver products (Databricks, Azure ML Studio, Azure and Snowflake, SageMaker, AWS). Ability to take ownership of a broad data product-set and drive forward the delivery of new products and product features. Strong More ❯

. Experience working on biological data curation, including data cleansing and preprocessing of -omics datasets. Exposure to cloud-based ML orchestration frameworks such as Sagemaker and Vertex AI. Experience with model deployment in an enterprise setting. For immediate consideration please send your most up to date CV to jason More ❯

Segment Commercial Tooling: Hubspot, Planhat, Intercom Company & Customer Analytics: Looker AI Tools & Frameworks: (to be built upon) TensorFlow/PyTorch for model development. AWS SageMaker or Vertex AI for scalable model deployment. OpenAI APIs or Hugging Face for generative AI applications. What are the benefits? People are our core 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 ❯

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 ❯

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 ❯

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 ❯

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 for to be considered for further roles, please click 'Apply Now' or contact 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: BBBH(phone number removed) To apply for this role or for to be considered for further roles, please click Apply 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 ❯

Python Engineer - Outside IR35 - Hybrid Our client, a global company, are recruiting for a Python Engineer to work on a hybrid basis as their offices in London. Essential Skills Python, Pytest Common python libraries such as Pandas/Numpy/ More ❯

Python Engineer - Outside IR35 - Hybrid Our client, a global company, are recruiting for a Python Engineer to work on a hybrid basis as their offices in London. Essential Skills Python, Pytest Common python libraries such as Pandas/Numpy/ More ❯

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use . More ❯