7 of 7 MLflow Jobs in the City of London

Azure ML), and GCP (Vertex AI). CI/CD Tools: Experience with GitLab CI, GitHub Actions, Jenkins, or specialized MLOps platforms (e.g., Kubeflow, MLflow). Preferred Qualifications Conversational Context: Experience with dialogue management, prompt engineering, and Retrieval-Augmented Generation (RAG). Data Analytics: Familiarity with real-time data streaming ...

with core data science and machine learning libraries such as scikit-learn, pandas, PyTorch and/or TensorFlow . Practical experience with Databricks , including MLflow and Spark-based data processing. Hands-on knowledge of Generative AI and LLMs , including prompt engineering, RAG architectures and vector search. Strong understanding of MLOps ...

Candidates should have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling. Applicants will ideally demonstrate: * Experience working in a major Consulting firm, and/or in industry * A strong ...

modern machine learning and data science frameworks. Hands-on experience with large language models, generative AI, prompt engineering, and RAG architectures. Experience with Databricks, MLflow, Spark, and cloud-based AI platforms (Azure preferred). Strong understanding of MLOps, software engineering best practices, and production deployment pipelines. Experience leading technical teams ...

statistics, machine learning, and mathematical modelling. Experience designing evaluation frameworks for AI systems, including model performance and monitoring. Hands-on experience with Databricks, MLflow, Spark, or similar cloud-based data platforms. Knowledge of responsible AI, model governance, and explainability. Strong communication skills with the ability to explain complex technical concepts ...

. Programming skills inPython,SQL, or Proficiency indata modelling, ETL/ELT processes, and data architecture. Experience in MS Copilot, AI Foundry , Databricks (MosiacAI, MLflow, Agentbricks, Genie) Strong analytical background with problem‐solving skills. Performance tuning concepts like watermarking, late data handling, parallelism & checkpointing. Hands‐on expertise inADF, and Qlik ...

infrastructure to frontend integration Lead architectural decisions across the ML stack, ensuring scalability, reliability, and alignment with business goals Drive the ongoing migration from MLflow to AWS SageMaker, maintaining continuity and minimising disruption Define and enforce MLOps best practices across model training, serving, monitoring, and deployment MLOps & Engineering Design … model training pipelines, serving infrastructure, monitoring, and CI/CD Expert-level proficiency in Python — this is non-negotiable Strong hands-on experience with MLflow (mandatory) Solid experience with AWS and cloud-native architectures Frontend proficiency in React, with the ability to deliver end-to-end product features Hands ...