26 to 50 of 55 Amazon SageMaker Jobs in London

Strong Python and TypeScript experience. Recent hands-on MLOps experience across the full ML life cycle. AWS experience. Knowledge of ML platforms such as SageMaker, MLflow or similar. Strong stakeholder management and technical leadership skills. This role is suited to someone with recent end-to-end MLOps experience, from ...

understanding of model capabilities and limitations—not just using AI to generate code. Highly desirable: EdTech or Education experience Java Terraform Kubernetes LangChain, Bedrock, SageMaker or similar GenAI tooling OAuth/JWT This is an excellent opportunity to join a global organisation at the forefront of AI innovation, building ...

Bedrock Experience with Kubernetes, CI or CD, infrastructure as code, and automation tools Familiarity with AI or ML platforms such as Databricks, SageMaker, orMLflow Exposure to hybrid cloud architectures andlarge scaledata processing ecosystems Knowledge of enterprise data platforms, observability, and cost management tooling Leadership Expectations Set technical direction ...

Technology Stack Backend: TypeScript, Node.js, C#, .NET Infrastructure: AWS (ECS, Lambda, SQS, DynamoDB), Terraform Architecture: Microservices, Event‐driven architecture Data & ML: Python, AWS SageMaker, S3, Redshift Why Join Alto? This role gives you genuine ownership of ML capability at a company that processes more housing transactions than anyone else ...

Swift on iOS. Data: 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. What you'll be doing Drive commercial impact at every turn: Proactively ...

Familiarity with cloud‐based application development (AWS & Azure). Familiarity with one or more ML frameworks and technologies: scikit‐learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, Triton. Strong communication skills, able to express ideas clearly and collaborate across teams. #J-18808-Ljbffr ...

experience with Kinesis/MSK, EKS/ECS/Fargate, Lambda, and Step Functions. • AIOps & Observability Tooling: Familiarity with CloudWatch, OpenSearch, Grafana, and SageMaker for real-time analytics and anomaly detection. • Performance & Cost Trade-offs: Track record of optimising systems for reliability, latency, and cost.Security skills you’ll need ...

Preferred Qualifications, Capabilities & Skills Product management experience for AI/ML, MLOps, or data platforms. Familiarity with MLOps concepts and frameworks, such as MLflow, Amazon SageMaker, and feature stores. Familiarity with AI concepts, such as Retrieval‐Augmented Generation (RAG), agentic system architectures, evaluation of LLMs and agents … Model Context Protocol (MCP). Hands‐on experience with or solid understanding of Amazon Web Services (AWS). Understanding of cloud architecture and the software development lifecycle. Experience coaching and mentoring other product managers and setting a high bar for execution. Experience operating at scale in highly available, secure ...

rich metadata, automated quality profiling, and governance guardrails. Consumers: Reduce friction from discovery to access — self‐service provisioning, entitlement workflows, one‐click integration with SageMaker, Databricks, and EMR. Network effects: Analyze usage trends to improve data quality, discovery and relevancy across persona groups. Collaborate with Engineering, Design & Data Science ...

organisation. What We Are Looking For MLOps & DevOps Tooling: Proven track record of working with systems such as ArgoCD, Kargo, Jenkins, Vertex AI, SageMaker, and similar platforms. ML Infrastructure Experience: Proven track record of working on ML research and production infrastructure. Infrastructure as Code: Knowledge of IaC tools such ...

expand from a GCP‐first environment to a hybrid AWS and GCP architecture. Define GPU compute strategy across Kubernetes, Vertex AI and SageMaker, balancing performance, scalability and cost efficiency. Drive the production adoption of Generative AI and LLM capabilities, establishing best practices for evaluation, deployment, experimentation and governance. Collaborate ...

content classification, synthetic panels, model validation). Experience with data platforms such as Databricks, snowflake or other cloud native solutions (GCP big query, AWS sagemaker). Solid understanding of agile practices. Any experience in SAFe is considered a plus. How we work Fifty5Blue’s core values are: Clarity, Independence ...

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 ...

learning solutions using Python. Experience with frameworks such as: PyTorch TensorFlow Scikit-learn XGBoost Experience deploying ML solutions on AWS, including services such as SageMaker, Lambda, and S3. Strong understanding of MLOps tooling, including MLflow, Weights & Biases, or Data Version Control (DVC). Experience developing LLM or Generative … agents and agentic workflows. Vector databases such as Pinecone, Weaviate, or pgvector. Feature stores including Feast or AWS Feature Store. Docker, Kubernetes, or Amazon ECS. Infrastructure as Code using Terraform or CloudFormation. Big data processing technologies such as Spark or Dask. Experience working within regulated or highly secure environments. ...

models into production, balancing quick wins with robust engineering. Focus areas include AI/OCR workflows, RAG systems, and deploying models on AWS with SageMaker/Bedrock. This hybrid role requires 1–2 days in Central London per week and right to work in the UK. #J-18808-Ljbffr ...

models influence real lending decisions and commercial outcomes Experience deploying and maintaining models within production environments Strong Python, SQL and AWS experience (particularly SageMaker and Lambda) Comfortable working in a fast-moving, hands-on environment with high ownership Excellent communication skills with both technical and business stakeholders What ...

models including scorecards, behavioural, acquisition and fraud models Build predictive models using advanced statistical and machine learning techniques Deploy models into production using AWS SageMaker and collaborate with engineering teams Monitor model performance and ensure ongoing effectiveness across business and technical metrics Generate insights and present clear, actionable recommendations ...

vision to delivery, across a hybrid UK environment. You will leverage AWS analytics services to build secure, governed lakehouse and warehouse solutions, integrating with SageMaker and ensuring scalable, auditable data products while collaborating with cross-functional teams to implement CI/CD and governance practices. #J-18808-Ljbffr ...

environment evolves, but typical tools include: Python for experimentation, modelling, and evaluation Weights & Biases (or equivalent) for experiment tracking AWS , including services such as SageMaker and Bedrock Internally supported AI development platforms and tooling This role is not suited to candidates who are dogmatic about specific tools . Adaptability ...

provide technical leadership across the full lifecycle of machine learning systems while architecting production-grade ML solutions. You will work with AWS SageMaker, lead teams on MLOps strategies, and ensure systems adhere to governance standards. This is a hands-on, technical position ideal for those with deep expertise ...

with product managers, clinical teams, and engineers to translate model insights into actionable product features Production ML Infrastructure: Establish robust MLOps practices using MLFlow, SageMaker, or similar platforms for model versioning, deployment, and monitoring Model Performance Monitoring: Implement comprehensive monitoring for model drift, performance degradation, and clinical safety metrics … large-scale data analysis Experience with modern data platforms (Snowflake, Databricks, or similar cloud data warehouses) Demonstrated MLOps capabilities using tools like MLFlow, SageMaker, Vertex AI, or Azure ML Experience building real-time ML inference systems and streaming analytics pipelines Strong software engineering practices including version control ...

model monitoring, content safety, LLMOps, GenAIOps or production support for AI systems Experience with non‐Microsoft AI platforms or services, such as AWS Bedrock, Amazon Q, SageMaker, Google Vertex AI, Anthropic Claude, OpenAI APIs or open‐source model ecosystems Familiarity with ISO 42001, NIST ...

Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services — and this is the role that leads it. The Head of AI Solutions is a newly created ...

models and drive business insights.Be a Databricks champion or have some Databricks certificationsAWSWork hands-on with AWS services such as Redshift, Glue, Lake Formation, SageMaker, Athena, and moreStrong hands-on expertise with AWS services (e.g. Redshift, Glue, Lake Formation, SageMaker).AWS Certified ArchitectAdditional InfoSecurity Clearance: To be successfully ...

with AWS technical teams Technical focus You will bring experience across several of the following areas: Generative AI and machine learning, including Bedrock and SageMaker Data and analytics, including Amazon Marketing Cloud and Clean Rooms Customer experience platforms such as Personalize and Connect Modern application development using Lambda … have Advanced AWS certifications, such as AWS Solutions Architect Professional or Specialty certifications in Machine Learning, Data Analytics or Security. Hands-on experience with Amazon Bedrock, generative AI implementations or broader AI use cases. Familiarity with Amazon Marketing Cloud, advertising technology or marketing technology environments. Previous experience working ...