201 to 225 of 336 Apache Spark Jobs in London

systems. Influence Opinion and decision-making across AI and ML Skills Python SQL/Pandas/Snowflake/Elasticsearch Docker/Kubernetes Airflow/Spark Familiarity with GenAI models/libraries Requirements 6+ years of relevant software engineering experience post-graduation A degree (ideally a Master’s) in Computer More ❯

create sustainable and resilient solutions. Your experience: Bachelor's degree in Computer Science or relevant certification. Expert level experience in Java and preferably in Spark and Python. Well versed in Cloud architecture and have delivered to one or more; Azure (preferred). Demonstrate hands-on engineering in large scale More ❯

Python. Develop real-time streaming features using big data tools such as Spark. SKILLS AND EXPERIENCE Extensive experience using big data tools such as Apache Spark. Experience working in and maintaining an GCP database. Strong Python coding background. Good knowledge of working with SQL. THE BENEFITS Generous Holiday plan. More ❯

contribute to architectural decisions. What We’re Looking For: Strong Python programming skills (5+ years preferred). Deep experience with distributed systems (e.g., Kafka, Spark, Ray, Kubernetes). Hands-on work with big data technologies and architectures. Solid understanding of concurrency, fault tolerance, and data consistency. Comfortable in a More ❯

contribute to architectural decisions. What We’re Looking For: Strong Python programming skills (5+ years preferred). Deep experience with distributed systems (e.g., Kafka, Spark, Ray, Kubernetes). Hands-on work with big data technologies and architectures. Solid understanding of concurrency, fault tolerance, and data consistency. Comfortable in a More ❯

MMM. Expertise in regression modeling, statistical and ML techniques . Experience with probabilistic programming, Bayesian methods, and MCMC. Proficient in SQL and/or Spark for large-scale data mining. Solid understanding of statistical foundations and mathematical modelling. Familiarity with cloud-based frameworks; Azure preferred. Advanced degree (MS/ More ❯

MMM. Expertise in regression modeling, statistical and ML techniques . Experience with probabilistic programming, Bayesian methods, and MCMC. Proficient in SQL and/or Spark for large-scale data mining. Solid understanding of statistical foundations and mathematical modelling. Familiarity with cloud-based frameworks; Azure preferred. Advanced degree (MS/ More ❯

SQL-based feature engineering to model development in Python and cloud deployment (AWS) Prototype and test new ideas that solve real business problems or spark client innovation Take ownership of workstreams within larger projects, with opportunities to lead as you grow Work across the stack — from APIs and infrastructure More ❯

SQL-based feature engineering to model development in Python and cloud deployment (AWS) Prototype and test new ideas that solve real business problems or spark client innovation Take ownership of workstreams within larger projects, with opportunities to lead as you grow Work across the stack — from APIs and infrastructure More ❯

and monitor the accuracy and effectiveness of external price forecast models. Develop analytics related to Power and Gas fundamentals, such as system margin analysis, spark and dark spread analysis, fuel cost adjustment forecast, maintenance program adjusted system availability, sensitivity and price visualisation tools. Explore innovative ideas using advanced statistical More ❯

Experience using AWS services (IAM, Lambda, EC2, VPC, S3) for security automation. Experience with data science, machine learning, big data, or streaming technologies (Kafka, Spark, Kinesis). We are committed to diversity and equal opportunity. For accommodations during the application process, visit this link . More ❯

are a plus Familiarity with version control software (git or svn) Experience with cloud computing, AWS preferred Exposure to data technologies such as Kafka, Spark or Delta Lake is useful but not mandatory. More ❯

in using Python (pandas, numpy, matplotlib, seaborn) for exploratory data analysis and data visualization. Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive). You have experience with BI tools (e.g., Looker, Tableau, Google Data Studio) to create compelling visual representations of data. More ❯

machine learning systems such as profiling and debugging and understanding of system performance and scalability - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. PREFERRED QUALIFICATIONS - Experience with popular deep learning frameworks such as MxNet and Tensor Flow. - PhD More ❯

with uncertainty quantification and performance estimation (e.g., cross-validation, bootstrapping, Bayesian credible intervals). Familiarity with database and data processing tools (e.g., SQL, MongoDB, Spark, Pandas). Ability to translate ambiguous business problems into structured, measurable, and data-driven approaches. Preferred Qualifications: M.Sc or PhD in Statistics, Electrical Engineering More ❯

programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop/Spark/SQL. Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, scikit-learn, along with data More ❯

Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - PhD Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does More ❯

model governance e.g. model versioning, drift reporting etc. Experience with MLOps tools such as MLFlow, Kubeflow, or DVC Experience with distributed processing systems like Spark (Scala and PySpark would be invaluable) Experience in programming with Scala Experience with LLMs, and/or RAG architecture Experience optimizing model inference for More ❯

or Development, Content Distribution/CDN, Scripting/Automation, Database Architecture, Cloud Architecture, Cloud Migrations, IP Networking, IT Security, Big Data/Hadoop/Spark, Operations Management, Service Oriented Architecture etc. Experience in a 24x7 operational services or support environment. Experience with AWS Cloud services and/or other More ❯

programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop/Spark/SQL. Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, scikit-learn, along with data More ❯

power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything-spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of More ❯

partners. Previous experience in a Data Engineering role: Passion for data and industry best practices in a dynamic environment. Proficiency in technologies such as Spark/PySpark, Azure Data services, Python or Scala, SQL, testing frameworks, open table formats, CI/CD workflows, and cloud infrastructure management. Excellent communication … and agile methodologies. Nice to Have: Experience in retail and/or e-commerce. Knowledge of Big Data, Distributed Computing, and streaming technologies like Spark Structured Streaming or Apache Flink. Additional programming skills in PowerShell or Bash. Understanding of Databricks Ecosystem components. Familiarity with Data Observability or Data More ❯

and conduct unit testing Required qualifications to be successful in this role • Proficient in Java, preferably Kotlin, with experience on Java 11, Gradle and Apache Spark • Experience in GCP, preferably Big Query and Cloud Composer • Experience with CI/CD, preferably GitHub and GitHub action • Experience with Agile More ❯

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 Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive More ❯

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 Spark, Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of More ❯