Reigate, England, United Kingdom Hybrid / WFH Options
esure Group
Spark, geospatial data/modelling and insurance are a plus. Exposure to MLOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc are desirable We’ll help you gain Experience working in a high-performance environment where collaboration and business impact are BAU. Experience more »
data engineering to ML operations (training, serving, monitoring), and microservice/web application engineering.Our tech stack: Azure Data Lake, Azure Databricks (Notebooks, APIs, Workflows), MLflow, dbt, Harness CI/CD, OpenShift, Docker, GitHub, JIRADISCOVER your opportunity What will your essential responsibilities include?· Set engineering standards and be accountable for their more »
new and already deployed data science applications. Our tech stack continues to evolve: Azure Data Factory, Azure Data Lake, Azure Synapse, PowerBI, Collibra, Databricks, MLflow, RStudio, Harness CI/CD, OpenShift, GitHub, JIRA. DISCOVER your opportunity As an intern, you will work closely with our experienced data scientists and engineers more »
Manchester, England, United Kingdom Hybrid / WFH Options
Anson McCade
Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration facilitation. • Workflow/pipelining frameworks (Kubeflow, MLFlow, Argo or equivalents). • Understanding and application of key considerations for Ethical AI. Benefits : • Base Salary: £45,000 - £75,000 (DoE) • Discretionary Bonus: Circa more »
London, England, United Kingdom Hybrid / WFH Options
Anson McCade
Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration facilitation. • Workflow/pipelining frameworks (Kubeflow, MLFlow, Argo or equivalents). • Understanding and application of key considerations for Ethical AI. Benefits : • Base Salary: £45,000 - £75,000 (DoE) • Discretionary Bonus: Circa more »
Cheltenham, Gloucestershire, South West, United Kingdom
Searchability NS&D Ltd
Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and application of Ethical AI considerations TO BE CONSIDERED…. Please either apply by clicking online or emailing me directly at . For more »
Greater London, England, United Kingdom Hybrid / WFH Options
Anson McCade
Vision applications. Strong understanding of basic probability concepts. In-depth knowledge of the machine learning lifecycle and collaboration facilitation. Workflow/pipelining frameworks (Kubeflow, MLFlow, Argo or equivalents). Understanding and application of key considerations for Ethical AI. Benefits: Base Salary: £45,000 - £75,000 (DoE) Discretionary Bonus: Circa more »
DevOps, CI/CD pipelines, GitHub, and Kubernetes (AKS) for efficient software development and deployment. Implement ML/OPS solutions using Azure ML, Databricks MLFlow, and LLMOps for streamlined Machine Learning operations. Ensure data governance and data cataloging standards are maintained, utilizing tools such as Collibra and Talend Data Catalogue. … AI. Knowledge of Azure DevOps, CI/CD pipelines, GitHub, Kubernetes (AKS). Experience with ML/OPS tools such as Azure ML, Databricks MLFlow, LLMOps. Familiarity with data governance, data cataloging tools (Collibra, Talend Data Catalogue). Experience with visualization and reporting tools like Power BI, Tableau, and front more »
Luton, England, United Kingdom Hybrid / WFH Options
Ventula Consulting
practices sch as CI/CD. Experience deploying/monitoring machine learning models and following best practices. The Ability to develop pipelines using SageMaker, MLFlow or similar frameworks. Strong experience with data programming frameworks such as Apache Spark. Understanding of common Data Science and Machine Learning models, libraries and frameworks. more »
Solid knowledge of Data Governance, Data Catalog, and Master Data Management. Understanding of Advanced Analytics and Model Management, encompassing Azure Databricks, Azure ML/MLFlow, and deployment of models using Azure Kubernetes Service. Excellent oral and written communication skills. Please apply if of interest. more »
marketing but not requiredCandidates should be looking to work in a fast paced startup feel environmentTech across: Python, SQL, AWS, Databricks, PySpark, AB Testing, MLFlow, APIsApply below!CONTACTIf you can’t see what you’re looking for right now, send us your CV anyway – we’re always getting fresh new more »
marketing models but not required Candidates should be looking to work in a fast paced startup feel environment Tech across: Python, SQL, AWS, Databricks, MLFlow, APIs Apply below more »
not required Candidates should be looking to work in a fast paced startup feel environment Tech across: Python, SQL, AWS, Databricks, PySpark, AB Testing, MLFlow, APIs Apply below more »
Management. (You will be skilled up in this sought after area) Understanding of Advanced Analytics and Model Management, encompassing Azure Databricks, Azure ML/MLFlow, and deployment of models using Azure Kubernetes Service. Excellent oral and written communication skills. Please apply if of interest. more »
Management. (You will be skilled up in this sought after area) Understanding of Advanced Analytics and Model Management, encompassing Azure Databricks, Azure ML/MLFlow, and deployment of models using Azure Kubernetes Service. Excellent oral and written communication skills. Please apply if of interest more »
Strong experience in data pipelines and deploying ML models Preference for experience in retail/marketing Tech across: Python, AWS, Databricks, PySpark, AB Testing, MLFlow, APIs Experience in feature engineering and third-party data Apply below more »
/CD best practices to increase the efficiency in deployment and management of resources. Experience with building and or using model management tools (e.g. mlflow)& MLOps (model orchestration, updating, etc.) Additional Information Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group more »
DescriptionBuilding on our past. Ready for the futureWorley is a global professional services company of energy, chemicals and resources experts headquartered in Australia.?Right now, we’re bridging two worlds as we accelerate to more sustainable energy sources, while helping more »
Maidstone, Kent, United Kingdom Hybrid / WFH Options
Worley
DescriptionBuilding on our past. Ready for the futureWorley is a global professional services company of energy, chemicals and resources experts headquartered in Australia.?Right now, we’re bridging two worlds as we accelerate to more sustainable energy sources, while helping more »
work on a variety of exciting projects as a senior member of the team. Responsibilities: Build machine learning models utilising CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. Working with a team of highly skilled Data Engineers and Data … Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, CI/DC, MLFlow, Kafka, Kubernetes, Consulting, Constancy more »
Models.The Role:As a Machine Learning Engineer:Apply Machine Learning Engineering projectYou will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes.You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will be working with a team of highly … in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist.DevOps experience in CI/CD.Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow.Experience using Python is a must (tools like AWS and Spark are beneficial)Excellent communication skills and team and colleague engagement.A keen interest more »
Company DescriptionWe are champions of rail, inspired to build a greener, more sustainable future of travel. Our purpose is our momentum. It makes us feel good because we know we’re doing good. As we lead the way to a more »
and Deploying complex ML Models. ROLE: Apply Machine Learning Engineering project You will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will be working with a team of … implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and colleague engagement. A more »
