51 to 75 of 144 Databricks Jobs in Scotland

realized by automation.Required qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and proficient applied experienceStrong hands-on data engineering experience with Databricks and AWSHands-on practical experience in system design, application development, testing, and operational stabilityProficiency in coding in PythonSolid understanding of agile methodologies such ...

translate real-world requirements into working softwarePreferred Skills/Qualifications: Experience with data backends such as Postgres, Redis, Elasticsearch, or S3Hands-on experience with Databricks or modern data Lakehouse toolingExperience building or operating monitoring and alerting systems such as Grafana, Prometheus, or NagiosInfrastructure as Code experience with tools such ...

public sector or other complex data environments involving data sharing, multiple stakeholders and evidence-based decision making. Experience with Microsoft Fabric, Azure Data Factory, Databricks, PowerBI semantic models or equivalent technologies. Professional qualification or certification in Data Architecture, Enterprise Architecture, Data management, or Data Engineering (e.g. TOGAF, DAMA CDMP ...

JPMorganChase is seeking a Data Engineer to enhance, build, and deliver scalable data collection, storage, and analytics solutions for CIO, Treasury & Corporate Risk Management. You will maintain critical data pipelines across multiple technical areas and ...

This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions. As a Senior Manager of Software Engineering at JPMorgan ...

evolve data strategy. In this Director-level Data & Analytics Engineering role, you will craft data models, implement governance, and drive scalable solutions using Snowflake, Databricks, Python, Spark, and cloud services. #J-18808-Ljbffr ...

integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery ...

multidisciplinary teamsExperience Required:·Experience designing AI, ML or modern data architectures within enterprise environments·Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies·Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments·Experience with LLMs, prompt engineering, embeddings, semantic search ...

Exposure to LLM models like ChatGPT, Google Bard etc. Exposure to Langchain, RAG and Fine Tuning of the LLM Models. Exposure to PySpark and Databricks for Data pipeline creation. Familiarity with modern front-end technologies Exposure to cloud technologies Experience with ReactJS front-end development is a plus #J ...

certification (e.g., AWS Certified Generative AI Developer - Professional, or similar) Experience within financial services technology, particularly wealth, private banking, or asset management Experience with Databricks, Kubernetes, or comparable ML/cloud platforms Experience designing or contributing to AI governance, model validation, or guardrail frameworks Familiarity with JPM-internal AI/ ...

qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and advanced applied experience with SQL, Data Transformation, ETL, Python.Working knowledge of AWS, Databricks and big data technologies and concepts.Hands-on practical experience in system design, application development, testing, and operational stabilityExperience in developing, debugging, and maintaining code ...

Skills Formal training or certification on software engineering concepts and advanced applied experience with SQL, Data Transformation, ETL, Python. Working knowledge of AWS, Databricks and big data technologies and concepts. Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code ...

GenAI certification (e.g., AWS Certified Generative AI Developer - Professional, or similar)Experience within financial services technology, particularly wealth, private banking, or asset managementExperience with Databricks, Kubernetes, or comparable ML/cloud platformsExperience designing or contributing to AI governance, model validation, or guardrail frameworksFamiliarity with JPM-internal AI/ML infrastructure ...

/CD, model versioning, automated testing, retraining, monitoring and reproducible delivery.Experience using cloud platforms and data science environments such as Azure, AWS, GCP, Databricks or equivalent to build and deploy scalable ML solutions.Strong communication, stakeholder management and problem-solving skills, with the ability to explain complex modelling approaches, trade-offs ...

/CD, model versioning, automated testing, retraining, monitoring and reproducible delivery.Experience using cloud platforms and data science environments such as Azure, AWS, GCP, Databricks or equivalent to build and deploy scalable ML solutions.Strong communication, stakeholder management and problem-solving skills, with the ability to explain complex modelling approaches, trade-offs ...

data quality, or analytics transformation programsStrong technical skills in data profiling, analysis, and data management using modern tools and environments (Python, R, SQL, Spark, DataBricks, cloud platforms)Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloguingDemonstrated experience using enterprise-authorized AI capabilities within ...

data quality, or analytics transformation programsStrong technical skills in data profiling, analysis, and data management using modern tools and environments (Python, R, SQL, Spark, DataBricks, cloud platforms)Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloguingExcellent communication skills with the ability to convey complex ...

quality, or analytics transformation programs Strong technical skills in data profiling, analysis, and data management using modern tools and environments (Python, R, SQL, Spark, DataBricks, cloud platforms) Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloguing Excellent communication skills with the ability to convey ...

Professional, or similar) Experience building or deploying an ML or LLM-powered application (academic, internship, or professional) Exposure to financial services technology Familiarity with Databricks, Kubernetes, or comparable ML/cloud platforms Familiarity with JPM-internal AI/ML infrastructure and governance for internal candidates #J-18808-Ljbffr ...

skills Formal training or certification on software engineering concepts and advanced applied experience with SQL, Data Transformation, ETL, Python. Working knowledge of AWS, Databricks and big data technologies and concepts. Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code ...

delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron FinLabs accelerators and strategic partnerships with AWS, Microsoft, Databricks, Salesforce, and ServiceNow, we enable clients to innovate fast and lead with confidence. For more information on the company, please visit our website or LinkedIn ...

Developer - Professional, or similar)Experience building or deploying an ML or LLM-powered application (academic, internship, or professional)Exposure to financial services technologyFamiliarity with Databricks, Kubernetes, or comparable ML/cloud platformsFamiliarity with JPM-internal AI/ML infrastructure and governance for internal candidatesJ.P. Morgan is a global leader ...

learningPractical experience with CI/CD, containerization, and cloud-native deployment patternsExperience within financial services technology, particularly wealth, private banking, or asset managementExperience with Databricks, Kubernetes, or comparable ML/cloud platformsExperience designing or contributing to AI governance, model validation, or guardrail frameworksJ.P. Morgan is a global leader in financial ...

transition into the world of Architecture. Knowledge across key principles including data modelling, pipelining, quality and management. Working knowledge with the likes of Databricks, Snowflake, Fabric etc. Excellent communication and collaboration skills. Experience working in client facing environments and a proven track record in meeting deadlines consistently. A strategic thinker ...

transition into the world of Architecture. Knowledge across key principles including data modelling, pipelining, quality and management. Working knowledge with the likes of Databricks, Snowflake, Fabric etc Excellent communication and collaboration skills. Experience working in client facing environments and a proven track record in meeting deadlines consistently. A strategic thinker ...