SLSQ125R239Do you want to help solve the world's toughest problems with big data and AI? This is what we do everyday at Databricks.Reporting to the Director, Strategic Sales, as a Strategic Account Executive your mission will be to grow more »
science context (e.g., MLOps) is a plus. Tools currently being used; - Python3, Numpy, Scipy, Xgboost - CI/CD: GitHub Actions, Jenkins, Docker - MLOps: DVC, MLflow - BI: Terraform, Airflow, BigQuery - LLMs: GPT, Claude And this is what you’ll get in return: Salary up to £120,000 depending on experience Share 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 »
data pipelines and deploying ML models Preference for experience in retail/marketing but not required Tech across: Python, AWS, Databricks, PySpark, AB Testing, MLFlow, APIs Experience in feature engineering and third-party data Apply below 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 »
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 »
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 »
Synapse Good knowledge of Data Governance, Data Catalog, Master Data Management Knowledge of Advanced Analytics and Model Management including Azure Databricks, Azure ML/MLFlow as well as deployment of models using Azure Kubernetes Service Please contact me for a full spec and discussion around the role, company, growth prospects more »
Nestlé Information Technology is the digital arm of the world's largest nutrition, health, and wellness company. With 150+ years in business, 2,000+ brands, and 270,000+ diverse team members-you're joining an organization that's revolutionizing food more »
Nestlé Information Technology is the digital arm of the world's largest nutrition, health, and wellness company. With 150+ years in business, 2,000+ brands, and 270,000+ diverse team members-you're joining an organization that's revolutionizing food more »
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 »
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 »
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 »
SLSQ225R141Do you want to help solve the world's toughest problems with big data and AI? This is what we do everyday at Databricks.Reporting to the Senior Director, Enterprise, as a Strategic Account Executive your mission will be to grow 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 »
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 »
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 »
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 »
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 »
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 »
