326 to 350 of 1,307 Databricks Jobs in London

Strong experience with core data science and machine learning libraries such as scikit-learn, pandas, PyTorch and/or TensorFlow . Practical experience with Databricks , including MLflow and Spark-based data processing. Hands-on knowledge of Generative AI and LLMs , including prompt engineering, RAG architectures and vector search. Strong understanding ...

Movar's capability forward through experimentation and continuous learning. Mentor junior data scientists and contribute to knowledge sharing across the team. Technical Stack Core: Databricks Power BI REST APIs MLflow Hugging Face Transformers Microsoft Fabric Docker CI/CD with Azure DevOps Power Automate integration for AI workflows What ...

them into practical technical solutions.Excellent analytical, problem-solving and communication skills.Desirable experienceData-lake or lakehouse technologies such as Delta Lake, Apache Iceberg, Apache Hudi, Databricks, Snowflake or AWS Lake Formation.Image or video visualisation, enhancement, rendering or tagging applications.GIS or geo-referenced imagery.Event-driven architectures using Kafka, RabbitMQ, Redis Streams ...

capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side‐by‐side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview We're seeking an experienced AI Engineer to design, build ...

agile methodologies, CI/CD, application resiliency, and securityPractical cloud-native experiencePreferred Qualifications, Capabilities, and Skills:Experience with modern data technologies such as Databricks or SnowflakeHands-on experience with Spark/PySpark and other big data processing technologiesDemonstrated proficiency in software applications and technical processes within disciplines such as data ...

data technology roadmaps across the organizationTeam Leadership & Organizational DevelopmentBuild, mentor, and direct global data engineering teams to deliver excellenceChampion capability development in cloud engineering, Databricks, CI/CD, SQL, and PythonPromote a culture of innovation, operational rigor, and customer-focused deliveryWhat We're Looking For:Experience & Track RecordStrong advanced level ...

field.Cloud, enterprise architecture, AI/ML, cybersecurity, or data platform certifications.Experience with platforms such as Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, Snowflake, Kubernetes, vector databases, and MLOps/LLMOps tooling.Strong executive presence, technical storytelling, mentorship, stakeholder influence, and ability to simplify complex concepts for business ...

forecasting methodologies and commercial performance measurement. Experience with Power BI, Tableau, Qlik, advanced Excel, or similar analytical and reporting tools. Experience with SQL, Python, Databricks, or similar data platforms would be desirable but is not essential. Strong commercial acumen and understanding of marketing and sales effectiveness. Skills and behaviours Exceptional ...

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 ...

enterprise architecture, AI/ML, cybersecurity, or data platform certifications. Experience with platforms such as Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, Snowflake, Kubernetes, vector databases, and MLOps/LLMOps tooling. Strong executive presence, technical storytelling, mentorship, stakeholder influence, and ability to simplify complex concepts for business ...

governance, and operational support considerations.Bachelor's degree or equivalent work experience.Preferred Skills:Experience with Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, Snowflake, vector databases, orchestration frameworks, and MLOps/LLMOps tooling.Experience supporting large pursuits, proposal development, pricing reviews, or delivery mobilization.AI/ML, cloud, data platform, architecture ...

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 ...

that can be leveraged to strengthen CoStar’s technology platform and development practices.Experience with .NET Core., Python, Jupyter, Notebook, AWS and NoSQL databases.Experience with Databricks and Lakehouse architectureWHAT’S IN IT FOR YOU Working at CoStar Group means you'll enjoy a culture of collaboration and innovation that attracts ...

agile methodologies, CI/CD, application resiliency, and securityPractical cloud-native experiencePreferred Qualifications, Capabilities, and Skills:Experience with modern data technologies such as Databricks or SnowflakeHands-on experience with Spark/PySpark and other big data processing technologiesDemonstrated proficiency in software applications and technical processes within disciplines such as data ...

data.Knowledge of forecasting methodologies and commercial performance measurement.Experience with Power BI, Tableau, Qlik, advanced Excel, or similar analytical and reporting tools.Experience with SQL, Python, Databricks, or similar data platforms would be desirable but is not essential.Strong commercial acumen and understanding of marketing and sales effectiveness.Skills and behavioursExceptional communication and presentation ...

Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. Strong proficiency in Python, R, SQL, or similar tools. Experience with Databricks, Azure, or other cloud/data platforms is a plus. Solid understanding of econometrics, regression analysis, Bayesian statistics, or other advanced modelling techniques. Experience translating data ...

professional qualification or professional accreditation with 5 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 ...

extraction, transformation, and pipeline development. Experience with dashboarding and visualisation tools (e.g., Tableau, Qlik, or similar). Familiarity with big data tools (e.g., Snowflake, Databricks, Spark) and ETL processes. Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical audiences. Strong problem-solving skills ...

fast‐paced, distributed environment with both technical and non‐technical teams Nice to Have Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance Experience automating BI administration through platform APIs, or identity and access through Okta, SCIM or role‐based access controls Experience supporting ...

bring both the strategic acumen of a consultant and the competitive drive of a closer.Demonstrated experience selling in or alongside platforms such as Snowflake, Databricks, AWS, Azure, Google Cloud, or similar.Skilled in uncovering strategic business pain points and aligning value-driven solutions that accelerate AI readiness and trust in data.Strong ...

both the strategic acumen of a consultant and the competitive drive of a closer. Demonstrated experience selling in or alongside platforms such as Snowflake, Databricks, AWS, Azure, Google Cloud, or similar. Skilled in uncovering strategic business pain points and aligning value-driven solutions that accelerate AI readiness and trust ...

self-organising in a fast-paced, distributed environment with both technical and non-technical teamsNice to HaveExperience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performanceExperience automating BI administration through platform APIs, or identity and access through Okta, SCIM or role-based access controlsExperience supporting ...

Strongly Preferred Skills Platform engineering: building reusable software foundations, internal developer platforms, and infrastructure that other teams build on Data Engineering: including platforms like Databricks for data processing and analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen ...

Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field.· Strong proficiency in Python, R, SQL, or similar tools.· Experience with Databricks, Azure, or other cloud/data platforms is a plus.· Solid understanding of econometrics, regression analysis, Bayesian statistics, or other advanced modelling techniques.· Experience translating data ...

both the strategic acumen of a consultant and the competitive drive of a closer. Demonstrated experience selling in or alongside platforms such as Snowflake, Databricks, AWS, Azure, Google Cloud, or similar. Skilled in uncovering strategic business pain points and aligning value-driven solutions that accelerate AI readiness and trust ...