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Machine Learning Engineer II/III (Applied Research & Model Development)
Develop and deploy AI models for pathology, collaborating with scientists and engineers to improve cancer diagnosis and treatment using machine learning and computer vision.
Lead Software Engineer - AI for Risk Technology
Lead a team building enterprise-scale generative AI and multi-agent systems for risk analytics at JPMorgan Chase, focusing on natural language querying of financial data using Python, AWS, and LangGraph.
Senior Data Engineer
Build secure, scalable data pipelines and platforms using Python, Spark, Kafka, and Kubernetes for mission-critical Defence environments.
Senior Machine Learning Engineer
Build and scale AI systems—including generative AI, predictive models, and agentic workflows—using Python and cloud tools to automate commercial real-estate loan servicing at Berkadia.
Senior DevOps Engineer
Senior DevOps Engineer builds and maintains scalable cloud infrastructure for an AI-driven drug-discovery platform, automating Kubernetes deployments, CI/CD pipelines, and GPU clusters to support PyTorch/TensorFlow workloads.
AI Backend Developer (m/f)
Develop and maintain backend services for AI/ML systems, integrating and optimizing LLM inference, REST APIs, and MLOps pipelines in a hybrid role.
Senior Data Engineer
Senior Data Engineer builds and optimizes cloud-based data pipelines and warehouses using AWS, Snowflake, Matillion, and dbt to power analytics and AI at Philip Morris International.
LLM Data Engineer - Scalable Pipelines & Data Lineage
Build and maintain scalable data pipelines and lineage for LLM platforms, integrating Snowflake/Snowpark and AWS services to support large-scale model training and evaluation.
Senior SageMaker DevOps Engineer - Remote Europe
Architect and automate SageMaker environments, CI/CD pipelines, and MLOps workflows to deploy ML models from development to production at scale.
Data Engineer
Build and maintain scalable data pipelines in Azure Databricks, design governed data models, and deploy ML solutions to production using PySpark, SQL, and CI/CD.
Senior Data Engineer
Build and maintain scalable MLOps pipelines on Databricks and Azure to deploy, monitor, and govern AI models in production using PySpark, GitHub, and MLflow.
Lead Machine Learning Scientist, Business Banking
Lead the design and deployment of ML models (including GenAI) that power smarter, simpler business-banking features for SMEs, working closely with product and engineering teams.
Data Engineer
Build and maintain scalable data pipelines and warehouses for Zego’s AI-driven insurance platform, using Python, SQL, Snowflake, Airflow, and dbt.
AI/ML-utvecklare
Build and deploy AI/ML models end-to-end for clients, owning the full lifecycle from data to production using Python and ML libraries.
Data Engineer, Back-End Architect
Designs and builds scalable data pipelines and back-end architectures, collaborating with data science teams to implement ETL processes, cloud services, and MLOps workflows using Python, SQL, and containerization.
LEAD AI/ML ENGINEER
Lead AI/ML Engineer builds and scales an AI-powered travel recommendation system using LLMs, RAG, and multimodal search to boost conversion and user experience.
Lead Data Scientist - Growth & Marketing Models
Lead a data science team to analyze business performance, build predictive models, and automate decisions for a fintech company specializing in small business lending.
Senior Software Developer – Bristol
Build and deploy scalable Python backend systems on AWS, lead CI/CD pipelines, and mentor engineers while integrating AI solutions.