26 to 35 of 35 Remote MLflow Jobs

and structured data - Reinforcement Learning from Human Feedback (RLHF) for model alignment - Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management - Model versioning and experiment tracking (MLflow, Weights & Biases) - Real-time model serving and edge deployment strategies - A/B testing frameworks for ML model evaluation If you would like to hear more about this opportunity please More ❯

and structured data - Reinforcement Learning from Human Feedback (RLHF) for model alignment - Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management - Model versioning and experiment tracking (MLflow, Weights & Biases) - Real-time model serving and edge deployment strategies - A/B testing frameworks for ML model evaluation If you would like to hear more about this opportunity please More ❯

and structured data - Reinforcement Learning from Human Feedback (RLHF) for model alignment - Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management - Model versioning and experiment tracking (MLflow, Weights & Biases) - Real-time model serving and edge deployment strategies - A/B testing frameworks for ML model evaluation If you would like to hear more about this opportunity please More ❯

Salary: .000 € per year Requirements: Minimum 1 to 2 years of proven experience in ML-Ops, including end-to-end machine learning lifecycle management Familiarity with MLOps tools like MLFlow, Airflow, Kubeflow or custom implemented solutions. Experience designing and managing CI/CD pipelines for machine learning projects with experience in CI/CD tools (e.g., Github actions, Bitbucket Pipelines More ❯

past, ideally centred around a software product, and have solid Python coding skills, and expertise with cloud infrastructure (preferably AWS). Familiarity with Containers and MLE tools such as MLflow and Airflow is essential, with any knowledge of AI SaaS or GenAI APIs being is a bonus. But what truly matters is your passion for learning and advancing technology. In More ❯

environment. Preferred Experience: Solid understanding of cyber security concepts such as threat detection, SIEM, anomaly detection, and incident response. Experience with tools for tracking ML models in production (e.g., MLflow). We encourage you to apply even if your experience is not a 100% match with the position. We are looking for someone with relevant skills and experience, not a More ❯

Pinecone, Weaviate, FAISS). Work with structured/unstructured data to build pipelines (SQL, Spark, Databricks, Kafka/Kinesis) and feature stores. Deploy and scale with MLOps best practice (MLflow, W&B, Kubeflow, Docker/Kubernetes, CI/CD). Optimise performance, latency, and cost trade-offs across Azure, AWS, or GCP AI stacks . Collaborate directly with our world … Business and custom GPT development , including enterprise integration and compliance guardrails. Proven engineering skills — Python (PyTorch/TensorFlow, JAX) , SQL/Spark, data wrangling, API integration. MLOps & deployment experience — MLflow, W&B, Docker/Kubernetes, CI/CD pipelines. Track record shipping real-world AI systems with measurable outcomes, not just prototypes. Tier-one background preferred — IIT/IISc/ More ❯

Pinecone, Weaviate, FAISS). Work with structured/unstructured data to build pipelines (SQL, Spark, Databricks, Kafka/Kinesis) and feature stores. Deploy and scale with MLOps best practice (MLflow, W&B, Kubeflow, Docker/Kubernetes, CI/CD). Optimise performance, latency, and cost trade-offs across Azure, AWS, or GCP AI stacks . Collaborate directly with our world … Business and custom GPT development , including enterprise integration and compliance guardrails. Proven engineering skills — Python (PyTorch/TensorFlow, JAX) , SQL/Spark, data wrangling, API integration. MLOps & deployment experience — MLflow, W&B, Docker/Kubernetes, CI/CD pipelines. Track record shipping real-world AI systems with measurable outcomes, not just prototypes. Tier-one background preferred — IIT/IISc/ More ❯

Machine Learning Engineer (SC Cleared) London (Hybrid) 2 Month Contract £550/day (Inside IR35) Machine Learning Engineer needed with active SC Security Clearance, plus strong Databricks, MLFlow and MLOps experience. The ideal candidate will have a strong background in Machine Learning (ML) Engineering and in-depth expertise in operationalising models in Databricks, MLFlow and MLOps environments. A chance to More ❯

About Lendable Lendable is on a mission to make consumer finance amazing: faster, cheaper, and friendlier. We're building one of the world's leading fintech companies and are off to a strong start: One of the UK's newest More ❯