1 to 25 of 128 Amazon SageMaker Jobs in the UK

career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that … experience with model customization techniques such as fine-tuning, continued pre-training, and LLM-as-judge evaluation Experience with optimization of models on GPUs, Amazon Silicon, or TPUs, also experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools Experience ...

7+ years in software engineering, data science, or ML roles 3+ years deploying ML solutions in production Hands-on experience with AWS ML services (SageMaker, Bedrock, etc.) Experience with distributed training (Horovod, Ray, etc.) Proven work with generative AI and LLM applications Strong Python and ML framework skills (PyTorch ...

/CD pipelines, model versioning, and monitoring. Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions. Proficiency in using containerization technologies (e.g., Docker) and orchestration tools ...

/CD pipelines, model versioning, and monitoring. Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions. Proficiency in using containerization technologies (e.g., Docker) and orchestration tools ...

least one major cloud provider. AWS, GCP or Azure Familiar with Docker and CI/CD pipelines Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like ...

least one major cloud provider. AWS, GCP or Azure Familiar with Docker and CI/CD pipelines Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like ...

need: Strong Python and experience with TensorFlow, PyTorch or scikit-learn Hands-on LLM work—prompt engineering, modern NLP techniques AWS experience: SageMaker, Bedrock, S3, Lambda, CloudWatch Understanding of deep learning, transformers and attention mechanisms Knowledge of RAG systems, vector databases and embeddings Experience deploying ML models to production ...

with building ML services using Python web frameworks such as FastAPI or stream processing libraries like Faust. Experience using tools like Jupyter Notebooks, AWS SageMaker, and AWS Bedrock. Hands-on expertise with Kafka and vector databases. Experience managing ML lifecycle workflows with MLflow. Deep understanding of LLMs and generative ...

effort and costs Nice to have * CI/CD experience (Azure DevOps, GitHub Actions, Jenkins)* Exposure to ML Ops tooling (Azure ML, AI Foundry, SageMaker or Vertex AI)* Infrastructure-as-Code (Bicep, ARM, Terraform)* Previous work building Gen AI-powered products or automation Tech environment you'll be joining ...

into commercial results. MLOps: Deep practical knowledge of MLOps principles and extensive experience with cloud-native ML services (e.g., Google Cloud Vertex AI, AWS SageMaker, Azure ML). Education: Ph.D. or Master's degree in Computer Science, Machine Learning, or a highly quantitative field, OR equivalent demonstrated technical leadership ...

capability to guide engineering teams and influence technical strategy. Some Other Highly Valued Skills May Include Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training ...

Hands-on ownership of CI/CD (Jenkins/Azure DevOps/GitHub Actions) and MLOps in Azure ML/Azure AI Foundry/SageMaker/Vertex AI. Working knowledge of Infrastructure as Code (Bicep, ARM, Terraform). A test-driven development mindset and commitment to engineering quality. Broad ...

capability to guide engineering teams and influence technical strategy. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training ...

capability to guide engineering teams and influence technical strategy. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training ...

capability to guide engineering teams and influence technical strategy. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training ...

capability to guide engineering teams and influence technical strategy. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training ...

production environments. Strong Python skills, with experience in frameworks like PyTorch, TensorFlow, or Hugging Face. Confident working in AWS or similar cloud environments (SageMaker, Lambda, Docker, etc.). Experienced in (or eager to explore) areas such as forecasting, optimisation, reinforcement learning, generative AI, or computer vision. Solid engineering mindset ...

Strong Python skills and practical expertise with: scikit-learn for conventional ML and data science. PyTorch, TensorFlow, or Keras for deep learning. AWS Bedrock, SageMaker, HuggingFace, or Transformers for LLM-based solutions. CrewAI (or similar frameworks) for agentic AI projects. Pandas/NumPy for data processing and transformation. Intuition ...

have a background in C#) Knowledge of AI principles and AI ethics Knowledge of data safety in LLM usage Experience with: AWS: boto3, Bedrock, SageMaker, Lambda, S3, EC2 Azure: Azure OpenAI Service, Cosmos DB Retrieval-Augmented Generation (RAG), Graph RAG Embedding models and LLM training fundamentals Damia Group Limited ...

arrangement is in place. About you To be successful in this role it’s essential you have: Extensive experience with AWS (S3, Glue, Redshift, SageMaker) Experience of building and automating data pipelines in finance The ability to demonstrate, automate and manage data systems so they run smoothly ...

SecOps. Nice to have Experience of leveraging AI and LLM tooling and developing AI-powered customer-facing features Experience with machine learning platforms (AWS SageMaker, Bedrock) and familiarity with generative AI & LLM technologies Hands-on understanding of modern data architecture (cloud platforms, pipelines, warehousing, BI, MLOps). Diversity ...

performance, suitability, training needs, and deployment approaches. Practical hands-on experience with at least two hyperscaler AI platforms , such as: AWS Bedrock/SageMaker Google Vertex AI OpenAI Azure ML Solid understanding of statistics, machine learning, data science fundamentals, data engineering, and big data concepts. Knowledge of the process ...

LLMs (Large Language Models), generative models, and related frameworks (e.g., LangChain, TensorFlow, etc.) Possess knowledge of cloud-based AI/ML services like AWS SageMaker, Azure Machine Learning, Google AI Platform, Databricks GenAI/BI, Snowflake GenAI, and their relevant services for building and deploying GenAI workloads. Knowledge ...

working arrangement is in place. About you To be successful in this role its essential you have: Extensive experience with AWS (S3, Glue, Redshift, SageMaker) Experience of building and automating data pipelines in finance The ability to demonstrate, automate and manage data systems so they run smoothly ...

financial data models. Expertise with modern data technologies (ClickHouse, PostgreSQL, Kafka, or equivalents.). Experience implementing ML Ops frameworks (e.g. MLflow, Kubeflow, Prefect, or SageMaker) Deep understanding of ETL/ELT pipelines, streaming architectures, and data lifecycle management. Experience working in Kubernetes and cloud-native environments (AWS preferred). ...