London, England, United Kingdom Hybrid / WFH Options
Harnham
Role: As a Machine Learning Engineer: 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 »
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 »
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 »
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 »
experience (Docker, Kubernetes, etc.) Good understanding of software best practises MongoDB (or NoSQL) experience Terraform experience Previous experience in managing the ML lifecycle with MLFlow Unfortunately sponsorship isn't provided for this role If you are interested please apply here or reach out to morgan.beck@xcede.com 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 »
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 »
London, England, United Kingdom Hybrid / WFH Options
Harnham
Role: As a Machine Learning Engineer: Apply Machine Learning Engineering project You will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Lead a Team of ML Engineers. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will … 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 »
/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 »
