401 to 425 of 1,316 Databricks Jobs in London

training or certification on infrastructure engineering concepts and advanced applied experience in Cloud technologies including Kubernetes, Terraform and AWS Data Lake technologies (e.g. Snowflake, Databricks, AWS Glue/Athena, Lake Formation) Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation ...

languages such as Python and SQL. Knowledge of modern visualization tools such as PowerBI is a plus.Familiarity with cloud-based platforms such as Databricks, Snowflake and Azure is an advantage, but not essential.Effective task/project management and general organization skills.· Excellent verbal and written communications skills; ability to convey ...

practices Solid grasp of MLOps principles with experience deploying models in production Proficiency in Python and tools/platforms such as Azure, AWS, GCP, Databricks, MLFlow, and Airflow Strong communication skills with the ability to engage business and technical stakeholders We offer EPAM Employee Stock Purchase Plan (ESPP) Protection benefits ...

working across both digital and physical/store channels Experience within retail, eCommerce or another consumer-facing environment would be highly beneficial Experience with Databricks, Snowflake, BigQuery or similar cloud data platforms would be advantageous Python would be a plus The successful candidate will be a commercially minded Marketing Analytics ...

working across both digital and physical/store channels Experience within retail, eCommerce or another consumer-facing environment would be highly beneficial Experience with Databricks, Snowflake, BigQuery or similar cloud data platforms would be advantageous Python would be a plus The successful candidate will be a commercially minded Marketing Analytics ...

teams.Experience with large-scale real-world data (administrative claims, EHR, OMOP/CDM, registries). Familiarity with cloud or big-data environments (SQL, Spark, Databricks, AWS, Azure, GCP). Experience with Bayesian modeling or probabilistic machine learning. Publications or applied research in ML + healthcare or RWE.Interest in translating academic ...

Python and SQL with experience in frameworks such as PyTorch, TensorFlow and Hugging Face Experience using data platforms and big data frameworks like Databricks and Spark Excellent communication skills for engaging C-level stakeholders and aligning technical outcomes with business value Nice to have Experience applying AI in drug discovery ...

operations, outage reporting or regulatory reporting exposure. Hyper‐V, Red Hat server environments and IT/OT infrastructure refresh projects. Power BI, Business Objects, Databricks or operational reporting modernization exposure. Personal High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal ...

users. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3 years applied experience. Good working knowledge of AWS, Databricks, and Python. Experience across the data lifecycle. Advanced at SQL, including joins and aggregations. Working understanding of NoSQL databases. Significant experience with statistical data analysis ...

have experience with some combination of:Data architecture, modelling, integration, governance or migrationCloud technologies such as Azure, AWS or GCPModern data platforms such as Databricks or SnowflakeApplication and integration architectureAI, ML or GenAITechnology transformation and modernisationArchitecture frameworks, roadmaps and solution designWorking directly with clients and senior stakeholdersExperience with industry platforms ...

generative AI applications with strong knowledge of MLOps and LLMOps lifecycles Advanced understanding of cloud-scale data platforms such as AWS, Azure, GCP or Databricks and data engineering best practices Knowledge of data governance, data security and emerging AI regulatory frameworks including the EU AI Act Experience orchestrating multi-disciplinary ...

concepts and GenAI frameworks (e.g., LangChain, Hugging Face) and cloud-native AI services (AWS, Azure or GCP) Knowledge of MLOps practices and tools like Databricks or MLflow Ability to tackle ambiguous problems with structured, analytical approachesStrong verbal and written communication skills for technical and executive audiences Experience in hybrid consulting ...

operations, outage reporting or regulatory reporting exposure.• Hyper-V, Red Hat server environments and IT/OT infrastructure refresh projects.• Power BI, Business Objects, Databricks or operational reporting modernization exposure.PersonalBesides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile. These include:• High ...

dynamic environment Comfortable manipulating and analysing data in a scripting language Our tech stack Python as our main programming language DBT for data modelling Databricks as our datalake platform Kubernetes for data services Orchestra for task orchestration Terraform for infrastructure Lightdash for data applications Airflow and Astronomer for job scheduling ...

roughly 75% analytics/25% data engineering) with a deep understanding of data platform architecture and data modeling. Tooling: Proficiency in SQL, Python, and Databricks is essential. Experience with Snowflake, Sigma, and dbt Cloud is highly preferred. Industry Context: Previous experience in Fintech (small to midsize) or regulated industries (gaming ...

platforms, and advanced analytics to enhance decision-making and client outcomes. We partner with leading AI and technology providers — including Anthropic, Microsoft, AWS, and Databricks — to accelerate innovation and expand platform capabilities. By connecting proprietary data, AI infrastructure, and commercial strategy, the team drives transformation across Moody's, delivering solutions ...

platforms, and advanced analytics to enhance decision-making and client outcomes. We partner with leading AI and technology providers — including Anthropic, Microsoft, AWS, and Databricks — to accelerate innovation and expand platform capabilities. By connecting proprietary data, AI infrastructure, and commercial strategy, the team drives transformation across Moody's, delivering solutions ...

platforms, and advanced analytics to enhance decision-making and client outcomes. We partner with leading AI and technology providers — including Anthropic, Microsoft, AWS, and Databricks — to accelerate innovation and expand platform capabilities. By connecting proprietary data, AI infrastructure, and commercial strategy, the team drives transformation across Moody's, delivering solutions ...

automation, deployment)Proficient software development experience in one of Java, Scala, or PythonSoftware development experience with data-processing platforms from vendors including Informatica,Azure Databricks or any relevant ETL toolsExpert in SQL or SQL extensions for analytical use caseExpert understanding of distributed data stores and data processing frameworksAbility to simply ...

platforms, and advanced analytics to enhance decision-making and client outcomes. We partner with leading AI and technology providers including Anthropic, Microsoft, AWS, and Databricks to accelerate innovation and expand platform capabilities. By connecting proprietary data, AI infrastructure, and commercial strategy, the team drives transformation across Moody's, delivering solutions ...

optimisation.* AI observability and evaluation.**Preferred Certifications*** Google Cloud AI/ML or Vertex AI certification.* Azure AI Engineer or AWS Machine Learning certification.* Databricks, BigQuery, or data engineering certification.* Kubernetes certification.* TM Forum Autonomous Networks or Open API certification.**Nice-to-Have Qualifications*** Experience with Google Vertex AI, Gemini ...

environments is a plusWhile we advocate using the right tech for the right task, we often leverage: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such as AWS, GCP, and AzureFamiliarity with Generative AI (GenAI ...

challengesWhile we advocate using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such as AWS, GCP, and AzureExperience with Generative AI (GenAI ...

design, test, and deploy our data platform and services using the below technologies: Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes for application deployment ...

professional qualification or professional accreditation with 4 years post related experience.Demonstrable experience of delivering data integration using AI and or Machine Learning Tools e.g. Databricks, Watson, Microsoft Cognitive Toolkit, TensorFlow. Demonstrable experience of designing mathematical and statistical models to resolve business challenges.Demonstrable experience applying data science, analytics and data integration ...