22 of 22 Amazon SageMaker Jobs in the UK excluding London

related technical discipline Bonus Skills/Experience Understanding of MLOps, model serving, scaling and monitoring workflows (e.g., BentoML, MLflow, Vertex AI, AWS Sagemaker) Experience building streaming + batch data ingestion and transformation pipelines (Spark/Airflow/Beam) Mobile and front-end web application development experience What We Offer ...

Computer Science, Machine Learning, Engineering , or a closely related discipline. Bonus Points Experience with MLOps and model serving platforms such as BentoML, MLflow, or SageMaker . Hands-on work with streaming and batch data pipelines using tools like Spark, Airflow, or Apache Beam . Background in front ...

Generative AI models, LLMs, and agentic frameworks. •Collaborate with stakeholders to define problem statements and solution approaches. •Deploy models using MLOps tools such as SageMaker, Snowflake, and CI/CD pipelines. •Integrate vector databases and Retrieval-Augmented Generation (RAG) pipelines. •Ensure high-quality delivery and adherence to best practices ...

Skills & Experience Technical Skills Strong expertise in Python for data science and ML engineering. Solid hands-on experience with AWS , including services such as Amazon SageMaker . Comfortable with software version control (Git) and collaborative workflows. Experience with experiment tracking/management tools (e.g., SageMaker Studio , MLflow ...

expert should have: A strong academic background in data science, computer science, mathematics, or a related field. Hands-on experience with AWS ML stack (SageMaker, Lambda, Redshift). Proven ability to design and implement machine learning algorithms and models. Proficiency in Python, SQL, and ML libraries (e.g., scikit-learn ...

e.g. seaborn) Proficient in working with cloud platforms (AWS preferred), code versioning (Git), experiment tracking (e.g. MLflow) Experience with cloud-based ML tools (e.g. SageMaker), data and model versioning (e.g. DVC), CI/CD (e.g. GitHub Actions), workflow orchestration (e.g. Airflow/Dagster) and containerised solutions (e.g. Docker ...

engineering with GitHub Actions and/or Argo CD. Preferred/Bonus Research experience in edge AI or constrained/offline deployments. MLOps experience (Sagemaker, Kubeflow, ZenML). Experience building RESTful services around AI pipelines. ISO 27001, NIST SSDF, OWASP SAMM, or GDPR compliance literacy. Experience with AWS Karpenter ...

similar large-scale ranking models. Generative AI & Technical Proficiency: Hands-on experience with LLM fine-tuning, Python, modern NLP frameworks, and familiarity with AWS SageMaker, Docker, and Airflow. Strong mathematical and statistical foundation. Ethical Drive: Commitment to ethical and fair AI practices that ensureequitableoutcomes for all users. Additional Information ...

encryption, secrets management, IAM/least-privilege, privacy-by-design, data minimization, and model compliance requirements. · MLOps & model serving: Operationalize models via MLflow/SageMaker/Vertex, with feature/data/version management, model registry, canary/blue-green rollouts, and rollback plans. · Data engineering: Build reliable data …/CD. · Practical knowledge of guardrails, prompt/context engineering, multimodal workflows, and observability. · Experience with MLOps/model serving (e.g., MLflow, SageMaker, Vertex AI) and data pipelines (e.g., Spark, Airflow, Beam). · Security-first mindset and familiarity with compliance (PII handling, RBAC/IAM, key management). Nice ...

encryption, secrets management, IAM/least- privilege, privacy-by-design, data minimization, and model compliance requirements. MLOps & model serving: Operationalize models via MLflow/SageMaker/Vertex, with feature/data/version management, model registry, canary/blue-green rollouts, and rollback plans. Data engineering: Build reliable data …/CD. Practical knowledge of guardrails, prompt/context engineering, multimodal workflows, and observability. Experience with MLOps/model serving (e.g., MLflow, SageMaker, Vertex AI) and data pipelines (e.g., Spark, Airflow, Beam). Security-first mindset and familiarity with compliance (PII handling, RBAC/IAM,key management). Nice ...

encryption, secrets management, IAM/least- privilege, privacy-by-design, data minimization, and model compliance requirements. MLOps & model serving: Operationalize models via MLflow/SageMaker/Vertex, with feature/data/version management, model registry, canary/blue-green rollouts, and rollback plans. Data engineering: Build reliable data …/CD. Practical knowledge of guardrails, prompt/context engineering, multimodal workflows, and observability. Experience with MLOps/model serving (e.g., MLflow, SageMaker, Vertex AI) and data pipelines (e.g., Spark, Airflow, Beam). Security-first mindset and familiarity with compliance (PII handling, RBAC/IAM,key management). Nice ...

matter expert, you will mentor a high-performing team, manage cross-functional integrations, and stay at the bleeding edge of AI (RAG, MCP, and SageMaker) to keep our projects ahead of the curve. What You'll Do Architect Decision Systems: Design innovative AI/ML models that … solutions to stakeholders through rigorous evaluation frameworks. Your Technical Toolkit Advanced Mastery: Data Science & Machine Learning. Cloud Expertise: Intermediate+ proficiency in Amazon SageMaker . Modern AI: Familiarity with Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP) . Engineering Rigor: Solid understanding of the Software Development Life Cycle ...

Evidence of defining, building and maintaining infrastructure as code using Terraform. Experience of creating cloud-based solutions - specifically AWS, utilising the likes of Athena, Sagemaker and Glue, as well as associated cloud services. You and your role As our Technical lead, you will lead multi-disciplinary teams ...

Evidence of defining, building and maintaining infrastructure as code using Terraform. Experience of creating cloud-based solutions - specifically AWS, utilising the likes of Athena, Sagemaker and Glue, as well as associated cloud services. You and your role As our Technical lead, you will lead multi-disciplinary teams ...

Evidence of defining, building and maintaining infrastructure as code using Terraform. Experience of creating cloud-based solutions - specifically AWS, utilising the likes of Athena, Sagemaker and Glue, as well as associated cloud services. You and your role As our Technical lead, you will lead multi-disciplinary teams ...

runtime environments. Work closely with data engineering, platform engineering, security, MLOps, and Independent Model Monitoring (IMM) teams. Contribute to integration efforts with AWS SageMaker, model pipelines, and enterprise data platforms. Use technologies such as AWS, SageMaker, Python, Java, Kafka, Open Telemetry, and cloud-native monitoring stacks. Support governance … data platforms. Proficiency in Python, SQL, Java , and modern data processing frameworks. Experience working with cloud-based AI/ML ecosystems , particularly AWS SageMaker (required). Understanding of monitoring frameworks , observability pipelines, and dashboards. Familiarity of event-driven architectures and messaging systems (Kafka, Vert.x, or similar). Knowledge ...

systems across the bank-model registries, feature stores, lineage services, governance controls, dashboards, and reporting pipelines. Work directly with technologies such as AWS SageMaker, Python, SQL, Java, event-driven systems, Open Telemetry, Kafka, and cloud-native monitoring stacks. Support governance of AI systems through transparent metrics, automated reporting … systems or data platforms. Fluency in Python, SQL, Java , and modern data processing frameworks. Expertise in cloud-based AI/ML ecosystems , particularly AWS SageMaker (required). Proven experience developing monitoring frameworks , observability pipelines, and dashboards. Deep understanding of event-driven architectures and messaging systems (Kafka, Vert.x, or similar ...

MLOps Engineer AWS SageMaker Contract Length: Initial 8-week contract Location: Remote Security Clearance: SC Clearance £500pd - £550pd (Inside IR35) Role Overview We are seeking an experienced MLOps Engineer with strong expertise in AWS SageMaker to support the delivery, deployment, and operationalisation of machine learning models. This … ideal for someone who can hit the ground running in a fast-paced environment. Key Responsibilities Design, build, and maintain MLOps pipelines using AWS SageMaker Deploy, monitor, and manage machine learning models in production Automate model training, testing, and deployment workflows Ensure scalability, reliability, and security of ML systems ...

MLOps Engineer AWS SageMaker Contract Length: Initial 8-week contract Location: Remote Security Clearance: SC Clearance £500pd Please make sure you read the following details carefully before making any applications. - £550pd (Inside IR35) Role Overview We are seeking an experienced MLOps Engineer with strong expertise in AWS SageMaker … ideal for someone who can hit the ground running in a fast-paced environment. Key Responsibilities Design, build, and maintain MLOps pipelines using AWS SageMaker Deploy, monitor, and manage machine learning models in production Automate model training, testing, and deployment workflows Ensure scalability, reliability, and security of ML systems ...

MLOps Engineer AWS SageMaker Contract Length: Initial 8-week contract Location: Remote Security Clearance: SC Clearance £500pd - £550pd (Inside IR35) Role Overview We are seeking an experienced MLOps Engineer with strong expertise in AWS SageMaker to support the delivery, deployment, and operationalisation of machine learning models click apply ...

MLOps Engineer AWS SageMaker Contract Length: Initial 8-week contract Location: Remote Security Clearance: SC Clearance £500pd Please make sure you read the following details carefully before making any applications. - £550pd (Inside IR35) Role Overview We are seeking an experienced MLOps Engineer with strong expertise in AWS SageMaker ...

Description MLOps Engineer AWS SageMaker Contract Length: Initial 8-week contract Location: Remote Security Clearance: SC Clearance £500pd - £550pd (Inside IR35) If the following job requirements and experience match your skills, please ensure you apply promptly. Role Overview We are seeking an experienced MLOps Engineer with strong expertise … SageMaker to support the delivery, deployment, and operationalisation of machine learning models. This is a short-term xkybehq contract role, ideal for someone who can h Please click on the apply button to read the full job description ...