16 of 16 Permanent MLflow Jobs in London

data quality for machine learning applications. Machine Learning Operations (MLOps) - Experience deploying ML models to production environments using containerisation (Docker), orchestration (Kubernetes), model versioning (MLflow, DVC), monitoring model performance and drift, A/B testing frameworks, and implementing CI/CD pipelines for automated model training and deployment. Understanding ...

Have Experience with marketplace or matching algorithms. Exposure to flexibility markets, virtual power plants, or reconciliation/settlement processes. Experience with ML deployment frameworks (MLflow, Vertex AI, SageMaker). Knowledge of optimisation libraries such as Gurobi, OR‐Tools, or Pyomo. ...

lifecycle management Lead documentation, knowledge transfer, and mentoring to upskill internal teams Technical requirements Strong Python and ML frameworks (PyTorch, TensorFlow) MLOps tooling (MLflow, Kubeflow or similar) Databricks Docker, Kubernetes, CI/CD pipelines Cloud platforms (AWS, Azure or GCP); Terraform experience preferred Financial services experience highly desirable A hands ...

Azure) and containerisation (Docker, Kubernetes) Solid understanding of ML fundamentals (model training, evaluation, common architectures) Desired Skills (Bonus Points) Experience with MLOps tooling (MLflow, Kubeflow, Weights & Biases, or similar) Building data pipelines (real-time or batch) using tools like Apache Spark, Kafka, Airflow, or dbt Familiarity with recommender systems, transformers ...

scikit-learn Eagerness to learn, curiosity, and a problem-solving mindset Nice to Have Cloud experience (AWS, GCP, Azure) Familiarity with MLOps tools (Docker, MLflow, Kubeflow) Deep learning knowledge (CNNs, RNNs, Transformers) Internship, research, or academic projects in ML/AI Why Join Hands-on experience with cutting-edge ...

evaluation frameworks, and simulators . 2. MLOps, Quality & Productionisation Design and implement robust CI/CD and MLOps pipelines using platforms such as Databricks, MLflow, Unity Catalog, Snowflake, and Azure ML. Establish model observability across performance, drift, cost controls, and operational reliability . Apply AIOps practices to enable automated retraining … inputs, claims triage, and bordereaux . Ability to design AI solutions aligned to insurance performance and profitability metrics . Technical Environment Model Lifecycle & Governance MLflow, Databricks Model Serving, Unity Catalog Feature stores (Databricks Feature Store, Feast) Model monitoring and governance platforms Data Engineering Databricks Lakehouse, Spark Kafka/Confluent Delta ...

members Skillset: Strong Python and ML libraries (scikit-learn, PyTorch, pandas, NumPy) Experience with AWS cloud services (SageMaker, Lambda, S3) Familiarity with MLOps tools (MLflow, Weights & Biases) Knowledge of NLP, computer vision, or time-series analysis Ability to design experiments and apply statistical validation Understanding of Responsible AI principles ...

Hugging Face ecosystem Experience with audio or speech models and frameworks. Experience building and maintaining end-to-end ML pipelines and MLOps tooling (e.g. MLflow, Weights & Biases, DVC, or similar). Strong Python skills; experience with Docker, CI/CD, and cloud platforms (Azure preferred) Practical experience designing agentic ...

Hugging Face ecosystem Experience with audio or speech models and frameworks. Experience building and maintaining end-to-end ML pipelines and MLOps tooling (e.g. MLflow, Weights & Biases, DVC, or similar). Strong Python skills; experience with Docker, CI/CD, and cloud platforms (Azure preferred) Practical experience designing agentic ...

working knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability tooling, including open-source monitoring ...

working knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability tooling, including open-source monitoring ...

Working model: On-site 4–5 days/week across UK client locations in England & Scotland (travel required) • Tech Stack: Python, MLflow, Databricks, Docker, Azure OpenAI, simulation frameworks • Clearance: British citizenship/Security Clearance eligibility required • Visa: This role cannot sponsor Interested? Please apply below. ...

platforms and big data technologies Evaluate and improved existing data processes Essential Experiences: Advanced SQL skills Proficient in Databricks, including Spark, Delta Lake and MLflow Experience migrating SSIS to Databricks In depth understanding of ETL/ELT processes Knowledge of data warehousing concepts and architectures Able to produce relevant data ...

Details • Salary : £80,000 – £150,000 • Working model : On-site 3+ days/week with retail and consumer clients UK-wide • Tech stack : Python, MLflow, Databricks, Docker, Azure, simulation frameworks • Visa : This role cannot sponsor If you’re interested, please apply below. ...

full model lifecycle in production Experience designing evaluation frameworks and statistically comparing model performance (e.g. t-tests) Experiment tracking and observability tools such as MLflow, W&B, DVC, Langfuse, or similar Cloud experience, ideally AWS (Azure also considered) Experience with Git and collaborative development workflows Understanding of data privacy, fairness ...

application engineers to integrate open source MLOps pipelines (CI/CD for ML) and deploy models seamlessly into production environments using specialised tools like MLflow, DVC and Feast. Advanced Data Modelling (Ontology & Knowledge Graphs): Lead the design and implementation of data ontologies and knowledge graphs using graph databases (e.g., Neo4j … DASH Prometheus, Grafana, Alertmanager, Thanos; ELK; Jaeger; custom exporters Jenkins, GitLab, Sonatype Nexus, Terraform, Ansible, Argo CD AWS (primary), with GCP/Azure exposureDVC, MLFlow, Airflow, Dagster, CVAT, Weights &... ...