1 to 25 of 26 Amazon SageMaker Jobs in the Thames Valley

integration challenges. You will help design and deliver high-quality, scalable features, including AI-enhanced flows, predictive monitoring tools, and automation capabilities powered by Amazon Bedrock, Amazon SageMaker, and other modern AI/ML frameworks. You’ll work cross-functionally to translate product vision into technical outcomes … sophisticated server-side and client-side features. Collaborate on the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the … a willingness to collaborate effectively within a team. A keen focus on improving user experience Nice to have: Experience with Integration Platforms. Familiarity with Amazon SageMaker, Amazon Bedrock, or similar ML/AI platforms (or willingness to learn quickly) Exposure to LLMs, vector databases, or embedding techniques More ❯

integration challenges. You will help design and deliver high-quality, scalable features, including AI-enhanced flows, predictive monitoring tools, and automation capabilities powered by Amazon Bedrock, Amazon SageMaker, and other modern AI/ML frameworks. You’ll work cross-functionally to translate product vision into technical outcomes … sophisticated server-side and client-side features. Collaborate on the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the … a willingness to collaborate effectively within a team. A keen focus on improving user experience Nice to have: Experience with Integration Platforms. Familiarity with Amazon SageMaker, Amazon Bedrock, or similar ML/AI platforms (or willingness to learn quickly) Exposure to LLMs, vector databases, or embedding techniques More ❯

integration challenges. You will help design and deliver high-quality, scalable features, including AI-enhanced flows, predictive monitoring tools, and automation capabilities powered by Amazon Bedrock, Amazon SageMaker, and other modern AI/ML frameworks. You’ll work cross-functionally to translate product vision into technical outcomes … sophisticated server-side and client-side features. Collaborate on the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the … a willingness to collaborate effectively within a team. A keen focus on improving user experience Nice to have: Experience with Integration Platforms. Familiarity with Amazon SageMaker, Amazon Bedrock, or similar ML/AI platforms (or willingness to learn quickly) Exposure to LLMs, vector databases, or embedding techniques More ❯

integration challenges. You will help design and deliver high-quality, scalable features, including AI-enhanced flows, predictive monitoring tools, and automation capabilities powered by Amazon Bedrock, Amazon SageMaker, and other modern AI/ML frameworks. You’ll work cross-functionally to translate product vision into technical outcomes … sophisticated server-side and client-side features. Collaborate on the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the … a willingness to collaborate effectively within a team. A keen focus on improving user experience Nice to have: Experience with Integration Platforms. Familiarity with Amazon SageMaker, Amazon Bedrock, or similar ML/AI platforms (or willingness to learn quickly) Exposure to LLMs, vector databases, or embedding techniques More ❯

integration challenges. You will help design and deliver high-quality, scalable features, including AI-enhanced flows, predictive monitoring tools, and automation capabilities powered by Amazon Bedrock, Amazon SageMaker, and other modern AI/ML frameworks. You’ll work cross-functionally to translate product vision into technical outcomes … sophisticated server-side and client-side features. Collaborate on the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the … a willingness to collaborate effectively within a team. A keen focus on improving user experience Nice to have: Experience with Integration Platforms. Familiarity with Amazon SageMaker, Amazon Bedrock, or similar ML/AI platforms (or willingness to learn quickly) Exposure to LLMs, vector databases, or embedding techniques More ❯

Face, OpenAI APIs Agentic AI: CrewAI, AutoGPT, DSPy CRM/Data Platforms: Salesforce, HubSpot, Segment Vector DBs: Pinecone, FAISS, Weaviate Cloud: AWS (S3, Lambda, SageMaker), Azure ML Workflow: GitHub, Notion, Jira Why Join TwoSD? At TwoSD , innovation isn’t a department—it’s a mindset. Here, your voice matters More ❯

a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures. Comfortable working with LLMs More ❯

a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures. Comfortable working with LLMs More ❯

a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures. Comfortable working with LLMs More ❯

a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures. Comfortable working with LLMs More ❯

a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures. Comfortable working with LLMs More ❯

business. Tech-savvy : Proficient in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX). Strong command of cloud-native AI tooling (e.g., AWS SageMaker, GCP Vertex AI, AzureML/AzureAI, MLflow, Weights & Biases). Well-rounded Engineer : Comfortable working with version-controlled codebases, DevOps pipelines, containerisation/microservices More ❯

a strong background in AI research and applied machine learning. Expertise in key data science technologies and techniques, such as Python, Git, AWS, AWS Sagemaker, PyTorch, TensorFlow, Jax, Numpy, Scikit-learn, Time-series forecasting, Classification, Regression, Large-language models, and Experiment Design. Strong stakeholder management skills and the ability More ❯

of responsible AI frameworks or security standards (e.g. NIST AI RMF, ISO/IEC 23894). Familiarity with cloud-based ML platforms (e.g. AWS SageMaker, Azure ML, GCP AI Platform). More ❯

right approach Previous experience developing real-world ML products in areas like demand forecasting, optimisation, or computer vision Comfortable working with AWS services (e.g. SageMaker, Lambda) Strong grasp of statistics and modelling, with the ability to turn raw data into actionable insight Willingness to learn the basics of backend More ❯

tried before. Challenge conventional wisdom about what's possible with current AI technologies. Required Skills & Experience: Experience with AWS AI services (e.g., AWS Bedrock, SageMaker Studio, Lambda, EKS ) and/or Azure AI services (e.g., Azure OpenAI, Azure Cognitive Service, Azure ML). Experience with designing, building and operating More ❯

Cloud Functions, Google BigQuery and Looker Create Solution architectures for Data Engineering and Analytics projects using AWS products like S3, Redshift, QuickSight and AWS SageMaker Build High performance scalable architecture presentations and generate SOW for customer Data Engineering and Analytics Projects Involve yourself in Pre-sales of Data Engineering More ❯

ensuring optimal performance and reliability. • Pipeline Engineering: Design and maintain automated pipelines for model finetuning, evaluation, versioning, and continuous delivery using tools like MLflow, SageMaker Pipelines, or Kubeflow. • Infrastructure Management: Architect and manage cloud-native, cost-effective infrastructure for machine learning workloads using AWS (SageMaker, EC2, EKS, Lambda … in Python, with additional experience in C/C++ for performance-sensitive applications. • Tooling Knowledge: Proficiency in MLOps frameworks such as MLflow, Kubeflow, or SageMaker Pipelines; familiarity with Docker and Kubernetes. • Optimization Techniques: Hands-on experience with model performance optimization techniques and distributed training frameworks (e.g., DeepSpeed, FSDP, Accelerate More ❯

researchers, clinicians, and engineers Drive adoption of infrastructure-as-code and automation practices Technologies and tools: Machine Learning - MLOps (PyTorch/TensorFlow, HFT) AWS (SageMaker - Training, Pipelines, Endpoints) Data - AWS Glue, Lambda, Step Functions Airform Terraform, ECS Python (core language), Bash, (GO is advantageous but not strictly necessary) Required … experience in MLOps or ML infrastructure roles Deep familiarity with AWS services relevant to machine learning Proven experience deploying models into production (ideally using SageMaker) Working knowledge of infrastructure-as-code, ideally using Terraform Strong understanding of CI/CD, automation, and monitoring within ML environments Ability to work More ❯

tools. · Experience with containerization, image building, and deployment (e.g., Docker, Kubernetes optional). Cloud & Infrastructure: · Hands-on experience with AWS services for ML workloads (SageMaker, EC2, EKS, etc.) or equivalent services in Azure/GCP. · Ability to manage cloud infrastructure to ensure high availability, scalability, and cost efficiency. Nice … to-Have · Experience with ML orchestration platforms like MLflow, SageMaker Pipelines, Kubeflow, or similar. · Familiarity with model quantization, pruning, or other performance optimization techniques. · Exposure to distributed training frameworks like Unsloth, DeepSpeed, Accelerate, or FSDP. More ❯

Company My client are a fast-growing startup revolutionising the hospitality industry by connecting businesses with a flexible, student-powered workforce. The platform enables partners—from local pubs to multinational chains—to optimise staffing in real-time, enhancing efficiency and More ❯

Data Platform/DevOps Engineer - Contract (Remote) – Consulting - AWS, Terraform, CI/CD, SageMaker, Jupyter Oliver Bernard are currently working with a Consultancy client of ours who are looking for an established Data Platform/DevOps Engineer, with strong hands-on experience across SageMaker in AWS, for a … of IaC experience with Terraform Hands-on work with CI/CD pipelines (GitHub Action and/or Jenkins) Prior project focused work with SageMaker and Jupyter Notebooks is critical Knowledge and experience working in MLOps driven environments This position can offer £600-700 p/day, inside IR35 … operates a remote working model (for UK based candidates only). Data Platform/DevOps Engineer - Contract (Remote) – Consulting - AWS, Terraform, CI/CD, SageMaker, Jupyter More ❯

Data Platform/DevOps Engineer - Contract (Remote) – Consulting - AWS, Terraform, CI/CD, SageMaker, Jupyter Oliver Bernard are currently working with a Consultancy client of ours who are looking for an established Data Platform/DevOps Engineer, with strong hands-on experience across SageMaker in AWS, for a … of IaC experience with Terraform Hands-on work with CI/CD pipelines (GitHub Action and/or Jenkins) Prior project focused work with SageMaker and Jupyter Notebooks is critical Knowledge and experience working in MLOps driven environments This position can offer £600-700 p/day, inside IR35 … operates a remote working model (for UK based candidates only). Data Platform/DevOps Engineer - Contract (Remote) – Consulting - AWS, Terraform, CI/CD, SageMaker, Jupyter More ❯

Data Platform/DevOps Engineer - Contract (Remote) – Consulting - AWS, Terraform, CI/CD, SageMaker, Jupyter Oliver Bernard are currently working with a Consultancy client of ours who are looking for an established Data Platform/DevOps Engineer, with strong hands-on experience across SageMaker in AWS, for a … of IaC experience with Terraform Hands-on work with CI/CD pipelines (GitHub Action and/or Jenkins) Prior project focused work with SageMaker and Jupyter Notebooks is critical Knowledge and experience working in MLOps driven environments This position can offer £600-700 p/day, inside IR35 … operates a remote working model (for UK based candidates only). Data Platform/DevOps Engineer - Contract (Remote) – Consulting - AWS, Terraform, CI/CD, SageMaker, Jupyter More ❯

Data Platform/DevOps Engineer - Contract (Remote) – Consulting - AWS, Terraform, CI/CD, SageMaker, Jupyter Oliver Bernard are currently working with a Consultancy client of ours who are looking for an established Data Platform/DevOps Engineer, with strong hands-on experience across SageMaker in AWS, for a … of IaC experience with Terraform Hands-on work with CI/CD pipelines (GitHub Action and/or Jenkins) Prior project focused work with SageMaker and Jupyter Notebooks is critical Knowledge and experience working in MLOps driven environments This position can offer £600-700 p/day, inside IR35 … operates a remote working model (for UK based candidates only). Data Platform/DevOps Engineer - Contract (Remote) – Consulting - AWS, Terraform, CI/CD, SageMaker, Jupyter More ❯