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 »
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, JIRA DISCOVER your opportunity What will your essential responsibilities include? · Set engineering standards and be accountable for more »
deep learning and knowledge of neural networks (TensorFlow, PyTorch). - Familiarity with cloud computing platforms (AWS, GCP, Azure) and MLOps practices, including tools like MLFlow, BentoML, and Evidently AI. - Awareness of AI ethics, privacy considerations, and a commitment to continuous learning in the rapidly evolving ML/AI field. Employee more »
e.g., versioning, testing, CI/CD, API design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., PyTorch, MLFlow, JAX) Distributed computing frameworks (e.g., Spark, Dask) Cloud platforms (e.g., AWS, Azure, GCP) and HP computing Containerization and orchestration (Docker, Kubernetes) Ability to scope and more »
Language Models (fine tuning, RAG, agents) Our technology stack Python PySpark for processing big data AWS: EMR, ECS, Athena, etc. DevOps: Terraform, Docker, Airflow, MLFlow Additional Information Why should you jump on board? We pay special attention to learning and development and organise quarterly company learning days as well as more »
will contribute in this role: Architecting, building and maintaining ML processing pipelines/workflows in Python via technologies such as Spark, serverless functions, Airflow, MLflow, or other. Implement MLOps and related DevOps focused on creating ML workflows for deploying models for large scale inference and optimisations. Build Docker containers, in more »
have proven experience with big data technologies, specifically Spark and Kafka. You have experience working with state-of-art ML pipeline technologies (such as MLflow, Sagemaker...) or building a ML pipeline by yourself (Docker, Kubernetes, Paperspace, Airflow...). You have a Ph. D. in a quantitative field (computer science, mathematics more »
least 5 years of professional experience in a data science or similar role. Expertise in Python, Jupyter Notebooks, SageMaker (or similar), and familiarity with MLFlow or equivalent model management tools. Extensive experience in developing and deploying machine learning models in production, preferably within B2C, online retail or similar sectors. Proven more »
At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We more »
(Senior) Data Scientist - Marketplace - London Location : We are flexible! Come and join us either in Hamburg, Berlin, London or Athens At FREE NOW, we are at an exciting point in our history we are building a world-class product used more »
We are looking for a Director, Field Engineering in London to join our world-class hypergrowth organisation. In this role, you will lead first-line Managers and teams of pre-sales Solutions Architects focusing on complex accounts, helping to drive more »
The team, currently five people in size, is focused on building and expanding upon our success in the Healthcare, Professional Business Services, Retail, CPG Industry verticals in the UK & Ireland. You will have the opportunity to make an impact with 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 »
