26 to 39 of 39 Amazon SageMaker Jobs in the UK

Sourcegraph & Meta. 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 ...

Details • Salary: £70k–£90k + benefits • Working model: Hybrid (2 days onsite, London or Manchester) • Tech stack: Python, SQL, LLMs, AWS/GCP (SageMaker, Bedrock, etc.) • Visa: Cannot sponsor Interested? Please apply below. ...

/ML engineering, shipping models in production • 3+ years in a Staff-level or senior technical leadership role • Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI • Strong Python; Java or Rust a bonus • Experience with LLMs, evaluation frameworks, and agentic AI patterns • Docker, K8s, Terraform …/CD • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── London hybrid (2 days/week) Competitive Salary and benefits ...

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 ...

Job Title: DataOps Engineer Location: Birmingham - Hybrid- 3 days onsite/week Duration: 6 months contract Pay Rate: £375 per day through FCSA Umbrella Role Description: Data Ops Engineer will be assisting Senior Data Ops ...

data platform architecture • Define governance, data modelling, and information architecture standards • Lead selection and implementation of AI technologies (AWS stack including Bedrock, SageMaker, Amazon Q) • Partner with senior stakeholders across data, engineering, and business functions • Guide a small team and work with external delivery partners We’re looking ...

translate business needs into technical solutions Required Skills & Experience: Active SC Clearance (mandatory) Strong proficiency in Python Hands-on experience with AWS , particularly SageMaker Experience with Streamlit for rapid prototyping and PoC development Solid understanding of anomaly detection techniques Experience building data workflows/pipelines Desirable: Experience working ...

platforms Establish best practices around: Model governance; Monitoring and retraining; Environment management Integrate with cloud and data platforms such as Databricks, and potentially AWS SageMaker Essential Experience Strong MLOps background, not just theoretical knowledge Extensive hands-on MLflow experience (non-negotiable) Demonstrable experience productionising ML models for at least … MLOps-led) Experience designing and supporting ML platforms in production environments Technical Skills (Required/Highly Desirable) MLflow Databricks Cloud platforms (AWS preferred; SageMaker experience a plus) CI/CD for ML (e.g. GitHub Actions, GitLab CI, Azure DevOps, etc.) Containerisation and orchestration (Docker, Kubernetes) Infrastructure as Code (Terraform ...

model performance, data drift, and system health to ensure reliability and availability. Support ML platforms and infrastructure on-premise or in the cloud (AWS, SageMaker), ensuring scalability and security. Collaborate with data scientists to productionise models and embed ML Ops best practices across the organisation. Ensure governance, compliance, documentation … model maintenance. Hands-on experience with Python (and ML frameworks), containerisation (Docker/Kubernetes), CI/CD pipelines, and cloud ML services (AWS SageMaker preferred). Experience with infrastructure-as-code, production-grade Linux environments, and API services (Flask/Gunicorn). Proficiency in building automated, reliable ML pipelines ...

complex business requirements into robust data solutions. The Role: You will tackle complex data challenges in a fast-paced, exciting environment, leveraging cutting-edge Amazon Web Services (AWS) technologies such as Lambda, SageMaker and Bedrock to develop innovative and scalable data solutions. RealityMine has an out of hours ...

Title: Lead Machine Learning Engineer (SageMaker, MLOps, Explainability) Job Description We are seeking an experienced Lead Machine Learning Engineer to design, build, and productionise machine learning models for our innovative matching platform. You will work across the entire ML lifecycle, from feature engineering to deployment automation, ensuring the optimisation … auditability. Conduct validation of models using golden datasets and baseline tests. Essential Skills Strong experience delivering production-grade ML systems. Proficiency with AWS SageMaker, including training jobs and Model Registry. Excellent skills with ML models like PyTorch, TensorFlow, or XGBoost. Hands-on experience with model explainability tools such ...

governance Translate business objectives into modelling strategies aligned to risk appetite and operational constraints Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent) Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions Establish monitoring frameworks for performance, drift … closely with Engineering/Data teams in production-first environments Comfortable operating within regulated industries Desirable AWS experience (S3, Athena/Glue, IAM, Lambda) SageMaker or equivalent ML platform experience Financial services domain knowledge (risk, fraud, affordability, payments) Experience with model explainability and governance documentation Package & Benefits Hybrid working ...

Join Ligentia! We’re on a mission to move away from fragmented, manual reporting and create a standardised, global "single source of truth" for customer data. We’re looking for an adaptable and dynamic Customer ...

experience. Alongside this, you’ll work across a modern cloud stack — integrating with AWS services , including serverless architecture and elements of machine learning via SageMaker . Key Responsibilities Enhance, debug, and deliver a high-quality React Native (TypeScript) mobile app Take ownership of features from development through to release … experience Integrate the app with backend services and APIs Work with AWS (Lambda) to support scalable, serverless functionality Collaborate on ML-driven features leveraging SageMaker (Python) Contribute to architecture decisions and engineering best practices Tech Stack React Native (TypeScript) AWS Lambda (serverless architecture) SageMaker (Python – ML integration) What ...