5 of 5 DemandTrendPermanent Amazon SageMaker Jobs in Central London

or medical devices. Sophisticated communication skills — ability to explain technical solutions clearly to both technical and clinical stakeholders. Strong knowledge of cloud infrastructure and services (e.g., AWS S3, EC2, SageMaker). Preferred Experience: Experience with real-time imaging, video data, and 3D reconstruction Familiarity with commercially available healthcare datasets, external data licensing challenges, data collection and labelling challenges. Prior More ❯

or medical devices. Sophisticated communication skills — ability to explain technical solutions clearly to both technical and clinical stakeholders. Strong knowledge of cloud infrastructure and services (e.g., AWS S3, EC2, SageMaker). Preferred Experience: Experience with real-time imaging, video data, and 3D reconstruction Familiarity with commercially available healthcare datasets, external data licensing challenges, data collection and labelling challenges. Prior More ❯

AI assistants and agentic tools to maximise impact. Bonus points if you’ve played with: LangGraph, AutoGen, or other agentic AI frameworks LoRA fine-tuning, RLHF, or vLLM AWS (SageMaker, EKS), Docker, or speech-to-text systems 🌟 What You Get: 100% remote role (UK or Spain) Work on real-world LLM deployments in an agile, experimental environment More ❯

Python (pandas, NumPy, scikit-learn) – data wrangling, modelling, feature engineering SQL – querying structured datasets Model Development & Validation – classification, unsupervised learning (outlier detection), ranking models ML Deployment – containerised deployments (Podman, SageMaker, DSW pipelines) Git – version control for reproducible workflows Time-Series Analysis – spotting risk trends over time EDA – identifying early risk signals and clusters Desirable skills: Rank aggregation/ensemble More ❯

facing role blends data analyst and data engineer skills, including requirement gathering, stakeholder communication, and delivering robust data solutions. Hands-on experience with Power BI, Sisense, Quicksight, and AWS (Sagemaker Unified Studio preferred) is highly desirable. Offering a competitive salary, performance-based bonuses, and fully flexible remote working, this is a fantastic opportunity to shape and lead analytics projects … data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, Sagemaker or Unified Studio (one of required). Ability to validate, test, and build data engineering solutions. Strong communication skills with ability to translate between technical and non-technical stakeholders. More ❯