126 to 150 of 312 Apache Spark Jobs in London

auction systems Excellent communication skills, able to explain complex technical systems to commercial, operations and senior leadership teams. Experience with Google Cloud, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse or similar production infrastructure Experience owning product roadmaps, release governance or cross-functional delivery across distributed teams and time zones. What ...

deploying machine learning models into production environments (MLOps experience is advantageous).Hands‐on experience with big‐data or distributed computing tools such as Spark or Databricks. Familiarity with visualisation tools such as Power BI, Tableau, or Plotly. Industry experience in sectors such as retail, finance, healthcare, or similar (customisable ...

deploying machine learning models into production environments (MLOps experience is advantageous).Hands‐on experience with big‐data or distributed computing tools such as Spark or Databricks.Familiarity with visualisation tools such as Power BI, Tableau, or Plotly.Industry experience in sectors such as retail, finance, healthcare, or similar (customisable). ...

such as MLflow, Airflow, model monitoring, API monitoring, data validation, data drift detection, autoscaling and access management. Strong Python experience, with helpful knowledge of Spark or PySpark for working with large‐scale data and machine learning systems. An understanding of feature stores and related data technologies used to support ...

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 ...

including feature engineering, model training, and evaluation metrics Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark Experience with large scale data processing systems, e.g., Spark Work in a way that works for youWe promote a healthy work/life balance across the organization. We offer an appealing working prospect ...

Company descriptionCompany DescriptionPublicis Media harnesses the power of modern media through leading agency brands Dysrupt, Infinite Roar, Publicis Collective, Publicis Health Media, Spark Foundry, Starcom and Zenith, as well as global accelerator PMX; immersive experience group PMCI and access to integrated platform-based technologies and offerings from CJ, Epsilon ...

designing and enforcing data contracts and quality SLAs in distributed data ecosystems. Proficiency in Python, Java, or Scala, and experience building pipelines with Databricks, Spark, or Kafka. Strong understanding of data governance principles, privacy regulations (GDPR, CCPA), and secure data handling practices. Familiarity with metadata management and data catalog ...

e.g., AWS, Azure, GCP or equivalent) and their AI/ML services.Proficiency in data manipulation and analysis using SQL and big data technologies (e.g., Spark, Hadoop) is a plus.Experience with MLOps tools and best practices for model deployment, monitoring, and governance.Education and Experience:Bachelor's or Master ...

libraries (e.g., scikit-learn, pandas, PyTorch or TensorFlow). Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt engineering, RAG patterns, and vector search. A solid understanding of MLOps ...

libraries (e.g., scikit-learn, pandas, PyTorch or TensorFlow). Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt engineering, RAG patterns, and vector search. A solid understanding of MLOps ...

MLOps/LLMOps principles, including CI/CD for ML, model monitoring, and governance frameworks.Proficiency with data processing and storage technologies (eg SQL, Spark)Strong stakeholder management and communication skills, with proven ability to translate complex AI concepts for diverse audiences.SUSTAINABLE BUSINESSPassion and curiosity to tackle some of industry ...

MLOps/LLMOps principles, including CI/CD for ML, model monitoring, and governance frameworks.Proficiency with large-scale data processing and storage technologies (SQL, Spark, Hadoop) is a plus.Excellent stakeholder management and communication skills, with proven ability to translate complex AI concepts for diverse audiences.You can understand client challenges ...

using Python, PySpark, and dbtBuild and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observabilityDevelop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformationsModel and transform data for analytics using SQL and dbt to support business intelligence … scale distributed data processing and performance tuningHands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar)Strong SQL skills and experience with SQL-based transformation tooling (e.g. ...

Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain).Hands-on experience working with Distributed Spark based systemsExperience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across … variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred[Preferred] Experience working with Apache Spark to process large-scale distributed datasetsCommunication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences.Core Traits: Passion for lifelong learning ...

language processing, including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAIHands-on experience working with Distributed Spark based systems.Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experienceExperience communicating and teaching technical concepts … driving our values through ML[Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role[Preferred] Experience working with Apache Spark to process large-scale distributed datasetsCan meet expectations for technical training and role-specific outcomes within 3 months of hireCan travel ...

rather than “telling”, preferring to inspire stakeholders through built examples. Technical Expertise: Deep experience in core data & AI technologies, including languages (Python, SQL), frameworks (Apache Spark) and platforms (Databricks, etc.). Collaboration: You can orchestrate diverse teams to achieve a common goal and explain complex tech … data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits ...

showing” rather than “telling”, preferring to inspire stakeholders through built examples.Technical Expertise: Deep experience in core data & AI technologies, including languages (Python, SQL), frameworks (Apache Spark) and platforms (Databricks, etc.)Collaboration: You can orchestrate diverse teams to achieve a common goal and explain complex tech to non-technical ...

Feature Store Containerisation and orchestration using Docker, Kubernetes or ECS Infrastructure as Code using Terraform or CloudFormation Large-scale data processing frameworks such as Spark or Dask Knowledge of data governance, compliance and regulated environments Experience delivering solutions within highly regulated industries such as government, finance or healthcare Security ...

quality programs, or analytics transformation Strong technical proficiency in data profiling, analysis, and data management using modern tools and environments, including Python, R, SQL, Spark, and cloud platforms Experience with data quality frameworks, including profiling, rule development, issue remediation, and the design of preventative controls Ability to translate complex ...

objectives.A bit about you: Strong Python knowledge. Ability to read through code. Demonstrable experience collaborating with engineers.Experience with big data technologies such as Hadoop, Spark, or similar. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions.Strong knowledge in at least a few of the following areas ...

about you: Strong Python knowledge. Ability to read through code. Demonstrable experience collaborating with engineers. Experience with big data technologies such as Hadoop, Spark, or similar. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions. Strong knowledge in at least a few of the following areas ...

experience in software engineering, MLOps, and deploying machine learning models at scale.Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure).Industry knowledge: Experience in gaming or digital entertainment is a strong plus.Why Product Madness ...

ability to architect and demo enterprise-grade solutions liveProficiency in SQL, Python, and data engineering tools commonly used in FSI environments (dbt, Spark, Kafka, or equivalent)Excellent executive communication skills with the ability to engage credibly with CDOs, CTOs, and CIOs at global financial institutionsTrack record of leading complex ...

Feast or AWS Feature StoreContainerisation and orchestration using Docker, Kubernetes or ECSInfrastructure as Code using Terraform or CloudFormationLarge-scale data processing frameworks such as Spark or DaskKnowledge of data governance, compliance and regulated environmentsExperience delivering solutions within highly regulated industries such as government, finance or healthcareSecurity ClearanceThis role requires ...