11 of 11 Remote/Hybrid Permanent MLflow Jobs

Environment Python, Java Cloud platforms AWS Containerisation and infrastructure-as-code tools Relational and non-relational databases Amazon Bedrock, Sagemaker, Vertex AI Datadog, Databricks, MLFlow, Grafana, OTel Claude, Gemini, ChatGPT, open-weight LLM models Terraform, Docker, K8s RMDBs, Graph DBs, Vector DBs Claude Code Github (and Github actions) Benefits Competitive ...

solutions in production cloud environments. Python: Strong capability in developing production-quality AI/ML code. LLMOps & AI Model Management: Familiarity with tools like MLFlow, LangChain, Hugging Face, Kubeflow, or similar platforms. Data Processing: Working knowledge of Databricks/Spark or comparable large-scale data processing tools. SQL: Solid capabilities ...

Computer Science or related field Nice to Have Master's degree in Data Science or related discipline Experience with TensorFlow, Keras, scikit-learn, MLflow, h2o Docker/Kubernetes experience Experience building enterprise ML products and APIs Open-source contributions or side projects Expertise with MLOps frameworks and production model monitoring ...

Computer Science or related field Nice to Have Master's degree in Data Science or related discipline Experience with TensorFlow, Keras, scikit-learn, MLflow, h2o Docker/Kubernetes experience Experience building enterprise ML products and APIs Open-source contributions or side projects Expertise with MLOps frameworks and production model monitoring ...

Computer Science or related field Nice to Have Master's degree in Data Science or related discipline Experience with TensorFlow, Keras, scikit-learn, MLflow, h2o Docker/Kubernetes experience Experience building enterprise ML products and APIs Open-source contributions or side projects Expertise with MLOps frameworks and production model monitoring ...

Computer Science or related field Nice to Have Master's degree in Data Science or related discipline Experience with TensorFlow, Keras, scikit-learn, MLflow, h2o Docker/Kubernetes experience Experience building enterprise ML products and APIs Open-source contributions or side projects Expertise with MLOps frameworks and production model monitoring ...

LLMs, Generative AI, Agentic workflows. Engineering: PEFT, Vector Databases (Pinecone/Milvus/Weaviate), Prompt Engineering. Ops: Docker, Kubernetes, CI/CD, Experiment Tracking (MLflow/W&B). Data: ETL/ELT, Feature Stores, Performance Tuning. Who You Are A Technical Lead: You can bridge the gap between Data ...

design. Desirable (AI & Data) Vector DBs: Milvus, Weaviate, Pinecone Data orchestration: Airflow, Prefect, Dagster Search: ElasticSearch/OpenSearch AI frameworks: LangChain, Hugging Face MLOps: MLflow, Kubeflow If you are looking for an opportunity to work on mission-critical systems at the forefront of UK National Security? Apply ...

Production-grade ML pipelines Model governance & lifecycle management Feature engineering at scale Embedding ML into agent-based systems Core stack Python · scikit-learn · MLflow · SQL · Docker · Feature Stores Nice to have Explainable AI · Anomaly Detection · LLM/NLP integration · Real-time inference ...

have a good knowledge of modern software engineering best practices, microservices, TDD/DDD, common Design Patterns Experience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essential What's in it for you: As a Python Developer (Machine Learning AWS) you will earn a competitive package ...

applications , including data-driven and intelligent systems Support model training, fine-tuning, and deployment where experience allows Work with tools and approaches such as: MLflow and model lifecycle tools Gradient boosted trees or custom model development AI application frameworks (e.g. LangChain, RAG-style architectures) Experience across both AI application development ...