1 to 25 of 32 Amazon SageMaker Jobs in the UK

other related methods. MLOps & DevOps: MLflow, TFX, Kubeflow, Docker, Kubernetes, CI/CD terminology and pipelines in GIT, Jira Cloud & Infrastructure: AWS BedRock, SageMaker AI, Azure Machine Learning, GCP Vertex AI, Kubernetes, Terraform Data Engineering: Apache Kafka, Spark, Airflow, Parquet, SQL, NoSQL and graph databases. Optimization & Scheduling: Constraint optimization ...

environments Accelerate outcomes using pre-built frameworks and accelerators Core Capabilities AI/ML Engineering: TensorFlow, PyTorch, XGBoost, transformer architectures MLOps & LLMOps: MLFlow, Kubeflow, SageMaker, KServe, vector DBs Cloud & Platform Engineering: AWS, Azure, GCP, Kubernetes, Terraform Data Platforms: Spark, Kafka, Snowflake, Airflow Responsible AI: Explainability (SHAP), model governance frameworks ...

should demonstrate experience across: Enterprise and solution architecture within complex organisations Cloud-based AI/ML platforms including Azure OpenAI, Azure ML, AWS Bedrock, SageMaker, Google Vertex AI, Databricks, Snowflake, Dataiku or similar technologies Designing scalable and cost-optimised AI solutions using serverless, containerised and Kubernetes-based environments Generative ...

scalable lakehouse architectures (Delta Lake, Iceberg, Hudi) Cloud, Infrastructure & MLOps Champion multi-cloud engineering across Azure, AWS, and GCP Lead MLOps strategy (MLflow, Kubeflow, SageMaker, Vertex AI) and CI/CD pipelines Ensure scalable deployments using Kubernetes, Docker, and Infrastructure-as-Code Enterprise Integration (.NET Focus) Integrate AI capabilities ...

best practices Required Skills & Experience 1+ year hands-on experience deploying GenAI/LLM applications into production Experience with AWS services such as Lambda, SageMaker, Bedrock, S3, EC2 and ECS Strong Python development skills with modern AI/ML libraries Practical experience using at least one LLM API Solid ...

best practices Required Skills & Experience 1+ year hands-on experience deploying GenAI/LLM applications into production Experience with AWS services such as Lambda, SageMaker, Bedrock, S3, EC2 and ECS Strong Python development skills with modern AI/ML libraries Practical experience using at least one LLM API Solid ...

technical discipline. Bonus Skills/Experience Public writing, talks, or threads about building with AI. MLOps and model serving experience (BentoML, MLflow, Vertex AI, SageMaker). Streaming and batch ingestion pipelines (Spark, Airflow, Beam, Glue). Healthcare or life sciences domain exposure. AWS Professional certification or other relevant industry ...

Engineering, or similar. Understanding of financial concepts such as discounted cash flows, net present value, and yield curves. Hands-on experience with AWS services (SageMaker, S3, Glue, Step Functions, or equivalent cloud ML infrastructure). Experience with MLOps tooling (MLflow, Airflow, dbt, or equivalent). Familiarity with model risk ...

management experience, with the ability to bridge business and technical teams Knowledge of AI/ML enablement platforms and supporting infrastructure such as AWS SageMaker Strong leadership, communication, delivery governance, and programme management capabilities If this sounds you, please apply ...

teams Coaching and mentoring Data Scientists Improving model governance and ML best practice Tech stack Python, SQL, TensorFlow, PyTorch, AWS/Azure, SageMaker, NLP, LLMs, MLOps What we're looking for Strong commercial Data Science experience Experience leading teams or technical functions Strong cloud and ML deployment knowledge Experience ...

Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with MLOps tools (e.g. MLflow, SageMaker, Vertex AI) Comfortable working independently and delivering high-quality work to tight timelines Experience working in fast-paced environments or scale-up settings Company ...

Good understanding of supervised and unsupervised learning and how to choose/apply the right model to a business problem. Familiarity with AWS (e.g. SageMaker, Lambda and related data tools). Willing to develop basic–intermediate backend skills (Python with Django, Go) to support model deployment and integration. Familiar ...

Signal Processing or Quantitive Analysis Proficient in Python and SQL. Experience with frameworks like PyTorch, Spark, or Airflow is highly desirable. Familiarity with AWS (SageMaker, Lambda) and CI/CD automation. Strong understanding of MLOps, data versioning, and quality management What is in it for you: Salary ...

selection, and performance trade-offs Ability to assess use case viability and business value Cloud & Technology Experience across at least two of: AWS (Bedrock, SageMaker) Azure (Azure ML, Azure OpenAI) GCP (Vertex AI) OpenAI ecosystem Plus: Understanding of data engineering and big data concepts Awareness of cloud security, scalability ...

Data Analytics/Engineering: SQL, Python, Snowflake, dbt, Airflow & Looker. AI at Marshmallow: Sierra.ai for conversational AI, Python and LangChain for agentic AI solutions, SageMaker and MLflow for Machine Learning, Cursor and Claude Code for developer productivity. About the Growth Team you’ll be joining The Growth team ...

reliability of ML systems What We’re Looking For Proven experience with ML in production environments Strong skills in Python, SQL, and AWS (SageMaker, Lambda, etc.) Experience with NLPs or LLMs Familiarity with MLOps and real-time data applications A pragmatic mindset and strong problem-solving ability Background ...

production software ✅ Commercial experience with LLMs, AI Agents and frameworks such as LangGraph or AutoGen ✅ Experience deploying AI applications on AWS or Azure (Bedrock, SageMaker, OpenAI, Cognitive Services etc.) ✅ Solid understanding of MLOps, CI/CD, Docker and Kubernetes ✅ Experience with RAG architectures, vector databases and retrieval systems ✅ Knowledge ...

other data storage patterns Proficiency with cloud platforms such as AWS or Azure, with experience using data services such as Apache Airflow, terraform or SageMaker ...

Tungsten Automation solutions Production AI Experience : Leverage experience with deploying, monitoring, and maintaining AI/LLM models in production (e.g., Azure ML, AWS Sagemaker, or Kubernetes-based ML pipelines) Thought Leadership : Provide thought leadership on AI-driven automation trends and best practices, both internally and externally Collaboration and Cross ...

What we're looking for: Strong commercial Data Science/ML experience. Python and cloud ML platforms (GCP/Vertex AI or AWS SageMaker) Experience with NLP/LLM use cases. Ability to work autonomously and deliver business impact. Apply if you're a pragmatic ML Engineer who enjoys ...

simulation/CAE/HPC data lake experience (Ansys, Siemens NX, BETA CAE, OpenFOAM, etc.) Familiarity with surrogate model training data pipelines Experience with SageMaker Unified Studio or comparable governed data-mesh tooling (in case of required integration) Multi-cloud data engineering (AWS GCP) experience Published or contributed ...

implementation. Required Skills & Experience Deep experience architecting and scaling enterprise-grade AI/ML systems . Proven expertise with cloud AI ecosystems (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong command of agent frameworks , vector databases , and LLM orchestration tools . Ability to lead multi-disciplinary teams ...

currently includes: Python, Go and Rust production services PyTorch-based generative models GPU inference workloads Kubernetes clusters (cloud and on-prem) AWS infrastructure including SageMaker Real-time streaming systems using protocols such as HLS, LL-HLS, RTMP and SRT Essential Requirements 3+ years of experience in ML systems engineering ...

retraining workflows.* Hands-on experience with model deployment and runtime management across varied environments (batch, real-time, REST, edge), using tools like MLflow, SageMaker, Databricks, or other equivalent.* Strong background in monitoring, observability, and incident response — including drift detection, fairness tracking, latency alerts, and recovery protocols.* Skilled in building ...

they're looking for: ✅ Strong Python engineering background ✅ Experience building and deploying LLM-powered applications ✅ LangGraph, LangChain, AutoGen or similar agent frameworks ✅ AWS Bedrock, SageMaker or Azure OpenAI experience ✅ Strong understanding of RAG, vector databases and AI observability ✅ MLOps and production AI deployment experience ✅ Proven technical leadership and architecture ...