26 to 34 of 34 MLflow Jobs in the UK excluding London

gateways. Experience with multi-modal models, embeddings or similarity search at scale. Experience with ML experiment tracking and workflow tooling, such as MLflow or Argo Workflows. Experience with SQL databases, including writing and optimising queries against large datasets. Preferably based in London, though Manchester and Bath are also options. AtNetcraftwe ...

gateways. Experience with multi-modal models, embeddings or similarity search at scale. Experience with ML experiment tracking and workflow tooling, such as MLflow or Argo Workflows. Experience with SQL databases, including writing and optimising queries against large datasets. Preferably based in London, though Manchester and Bath are also options. AtNetcraftwe ...

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 Backend Software Engineer/Developer (Machine Learning AWS) you will earn ...

with foundation vision models for segmentation or detection (e.g. SAM2) and how to apply them in production contexts Exposure to MLOps tooling - experiment tracking (MLflow, W&B), dataset versioning, model deployment Academic or project work in robotics, autonomous systems, or applied ML Interest in warehouse logistics, supply chain, or industrial ...

deep‐tech or complex engineering organisations. Familiarity with modern engineering and ML tooling and workflows, such as CI/CD pipelines, Jira or ClickUp, MLflow or Weights & Biases, and simulation or testing environments. Experience working in regulated, safety‐critical, or physically constrained systems where software interacts directly with hardware ...

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What ...

monitoring, performance tracking, drift detection, and automated retraining capabilities to ensure ongoing reliability and business value Work with cloud-native technologies including Azure Databricks, MLflow, and related platforms to support enterprise-scale machine learning workloads Collaborate with Data Engineers, Architects, and Developers to deliver secure, scalable, and maintainable machine learning …/CD pipelines, MLOps frameworks, and automated machine learning deployment processes Hands-on experience with Azure Databricks or similar machine learning platforms (ie MLFlow, KubeFlow, SageMaker etc) Experience building APIs, microservices, and cloud-based solutions that integrate machine learning capabilities into wider platforms and applications Excellent collaboration and technical communication ...

innovation, and strategic alliances and you will bring deep expertise in the Databricks Data Intelligence Platform, Lakehouse architecture, Delta Lake, Apache Spark, Unity Catalog, MLflow, Mosaic AI, data engineering, machine learning, GenAI and cloud-native delivery. As a key leader within our AI & Data Practice, you will work closely with … Shape end-to-end solutions using Databricks Intelligence Platform, Delta Lake, Apache Spark, Unity Catalog, Databricks Workflows, Delta Live Tables/Lakeflow-style pipelines, MLflow, Feature Store, Model Serving and Mosaic AI capabilities. Team Leadership & Delivery • Build, lead, upskill and mentor a high-performing team of Databricks engineers, and consultants. ...

Prometheus, Grafana, and Dynatrace. Establish actionable alerting and runbooks for on‐call operations; drive incident reviews and reliability improvements. Operate a model registry (e.g., MLflow) with experiment tracking, versioning, lineage, and environment‐specific artefacts. Enforce audit readiness: model cards, reproducible builds, provenance, and controlled promotion between stages What … Triton, TorchServe, and GPU scheduling/optimisation. Proficiency in Prometheus, Grafana, Dynatrace defining SLIs/SLOs and alert thresholds for ML systems. Experience operating MLflow (or equivalent) for experiment tracking, model bundling, and deployments. Expert use of Git, branching models, protected merges, and code‐review workflows. It would be great ...