13 of 13 Amazon SageMaker Jobs in the South East

Collaborate with ML/AI Teams Package and deploy large‑language‑model (LLM) training jobs on distributed GPU clusters (Slurm, Ray, Kubeflow, or AWS SageMaker). Optimize model‑serving (Triton, vLLM, TorchServe) for low‑latency, high‑throughput inference. Cost & Performance Optimization Track cloud spend, right‑size resources, and introduce More ❯

full ML lifecycle Previous exposure to ambiguous or evolving problem spaces, ideally within consulting or client-facing environments Experience with AWS/Azure and SageMaker Clear and confident communicator, able to contribute to client conversations and work collaboratively with delivery teams Degree from a top university in a quantitative More ❯

technologies such as Java, LangGraph, knowledge graphs, vector search, and no/low-code frameworks. Familiarity with cloud platforms and tools such as AWS Sagemaker, Databricks, Snowflake, or similar. The role is based on a hybrid basis at their Central London office. More ❯

of overall Data and Analytics experience with Minimum 10+ years in AWS data platform including AWS S3, AWS Glue, AWS Redshift, AWS Athena, AWS Sagemaker, AWS Quicksight and AWS MLOPS Snowflake DWH architecture, Snowflake Data Sharing, Snowpipe, Polaris catalog and data governance (meta data/business catalogs). Knowledge 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 ❯

deployed applications. Package and deploy ML models (including Hugging Face Transformers) as microservices on AWS. Build, train, and evaluate models using AWS tools like SageMaker, Bedrock, Glue, Athena, and Redshift. Develop secure APIs with Apigee and build automation pipelines using Jenkins, Maven, and more. Support the full ML lifecycle … with MLOps , from experimentation to deployment and monitoring. Strong grasp of ethical AI practices: model explainability, transparency, bias mitigation. Hands-on with AWS services (SageMaker, Glue, Redshift, Bedrock, Lambda, Fargate). Skilled in deploying and hosting microservices/APIs with Flask or FastAPI. Proficient in SQL, Git, Jupyter/… collaborating in a dynamic environment Tech Stack Languages & Frameworks: Python, R, SQL, Flask, FastAPI Tools: Hugging Face, Apigee, Jenkins, Git, RStudio, Jupyter Cloud: AWS (SageMaker, Glue, Athena, Redshift, Bedrock, ECS Fargate, Lambda) Please apply online for consideration. 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 ❯

Knowledge of Machine Learning and NLP unstructured data. Implemented ML platform in enterprise client experience of ML use-cases AIML Platforms: DataRobot, Dataiku, Anaconda, Sagemaker, Vertex etc. AIML Frameworks: MLFlow, KubeFlow, BentoML, TensorFlow etc. AIML Development: PyTorch, Jupyter Notebooks, XGBoost, Tensorflow etc. AIML Models: Linear/Logistic Regression, KNN More ❯

in data analysis and machine learning. Some form of experience in demand/forecast modelling Strong experience with AWS or similar (ideally experience with SageMaker) Familiarity with scenario-based modelling On offer in return is an exciting role that will develop and make a real impact, with a forward 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 ❯

This includes recruitment activities, management of team financials and ensure delivery is done using approved tools and technologies. Build and maintain the Contact Centre (Amazon Connect) technology and delivery roadmap working with the business stakeholders whilst also ensuring continued focus on Platform Health and stabilisation and building secure, resilient … technical skills to help the team and solve problems at hand. Extensive experience in designing, developing, and deploying solutions using AWS Telephony Framework primarily Amazon Connect , Lex, Lambda Integration, VoiceID, Contact Flows etc. Experience with shared cloud AWS services like EC2, VPC Subnet etc Experience of working in an … Architectural Design It’s a bonus if you have but not essential Knowledge and experience of AWS AI platform integrations and services such as SageMaker, Bedrock AWS Certification (Cloud Practioner/Solution Architect/Software Professional) It’s a bonus if you have but not essential Knowledge and experience 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 ❯

Senior Data Scientist – 6 Month Contract Remote - £525 - 575/day Inside IR35 Spinks are partnered with a leading UK Consultancy who are looking for an experienced Data Scientist to join on an exciting project in the early stages of More ❯