101 to 125 of 178 Apache Spark Jobs in the UK

Experience with a JVM language, Kotlin, Java, Scala, Clojure Knowledge of Typescript and React is beneficial Exposure to data pipelines using technologies such as Spark and Kafka Experience with cloud services (ideally AWS) Hybrid working 1-2 days per week in Central London. £110,000 depending on experience. Please more »

business development and ensuring high levels of client satisfaction during delivery Skills Must have strong hands-on technical Skills in Python Pyspark Azure Databricks Spark ETL Cloud Azure preferred Good to have knowledge on ADF CI CD more »

software solutions. Skills Required: In depth experience designing & building backend applications in Python. Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Experience developing in a highly Agile/Scrum environment. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS). Benefits more »

analytical abilities. Preferred Skills: Experience with cloud databases (e.g., AWS, Azure, Google Cloud Platform). Knowledge of big data tools and frameworks (e.g., Hadoop, Spark). Certification in database management (e.g., Microsoft Certified: Azure Data Engineer Associate). What We Offer: Competitive salary and comprehensive benefits package. Opportunity to more »

to 4 Senior Data EngineersThe successful Data Engineering Technical Lead will have the following skills and experienceFull Proficiency in AWS, Python, CI/CD, Spark, Terraform THE BENEFITSHYBRID WORKING PACKAGE HOW TO APPLY:Please register your interest by submitting your CV to Callum Aris via the apply link on more »

with JavaScript or Python Experience deploying software into the cloud and on-premise. Developing software products. Experience with EKS, Kubernetes, OpenSearch/ElasticSearch, MongoDB, Spark or NiFi. Experience with microservices architectures. Experience with AI/ML systems TO BE CONSIDERED…. Please either apply by clicking online or emailing more »

need broad expertise across various areas of the technology/software domain. Proficiency in AWS or Big Data, Hadoop or other SQL databases, Lucene, Spark, web app development (JavaScript, Node.js), Docker, Jenkins, Git, Python, or Ruby would be highly beneficial. Key Responsibilities: Meet with clients throughout the sales and more »

software solutions. Skills Required: In depth experience designing & building backend applications in Python. Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Experience developing in a highly Agile/Scrum environment. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS). Benefits more »

as Python, C#, .Net and/or JavaScript is highly desirable. Experience with cloud platforms (e.g., Azure) and data technologies (e.g., SQL, NoSQL, Hadoop, Spark). PLEASE NOTE: You must have either UK citizenship or permanent leave to remain in the UK. Due to the high volume of applications more »

Pharmaceutical industry experience Experience in distributed system design Experience with Pure/Alloy Working knowledge of open-source tools such as AWS lambda, Prometheus Spark, Hadoop orSnowflake knowledge would be a plus. Additional Information Location: This role can be delivered in a hybrid nature from one of these offices more »

Pharmaceutical industry experience Experience in distributed system design Experience with Pure/Alloy Working knowledge of open-source tools such as AWS lambda, Prometheus Spark, Hadoop orSnowflake knowledge would be a plus. Additional Information Location: This role can be delivered in a hybrid nature from one of these offices more »

Pharmaceutical industry experience Experience in distributed system design Experience with Pure/Alloy Working knowledge of open-source tools such as AWS lambda, Prometheus Spark, Hadoop orSnowflake knowledge would be a plus. Additional Information Location: This role can be delivered in a hybrid nature from one of these offices more »

Pharmaceutical industry experience Experience in distributed system design Experience with Pure/Alloy Working knowledge of open-source tools such as AWS lambda, Prometheus Spark, Hadoop orSnowflake knowledge would be a plus. Additional Information Location: This role can be delivered in a hybrid nature from one of these offices more »

designing and building robust, scalable, distributed data systems and pipelines, using open source and public cloud technologies. Strong experience with data orchestration tools: e.g. Apache Airflow, Dagster. Experience with big data storage and processing technologies: e.g. DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, RDBMSs (PostgreSQL/MySQL … . Knowledge of event-driven architectures and streaming technologies: e.g. Apache Kafka, Kafka Streams, Apache Flink. Experience with public cloud environments: e.g. AWS, GCP, Azure, Terraform. Strong knowledge of software engineering practices: e.g. testing, CI/CD (Jenkins, Github Actions), agile development, git/version control, containers etc. more »

master and meta data management Experience with Azure SQL Database, Azure Data Factory, Azure Storage, Azure IaaS/PaaS related database implementations. Experience with Apache spark and new Fabric framework would be a plus. more »

for business improvements Lead a small team of data scientist on Neural Networks LLMs (CNN & RNN), ML, & NLP NLP/AI/ML/Spark/Python/Data scientist/Machine Learning Engineer/OCR/Deep Learning Requirements Bachelor's degree or equivalent experience in quantitative field more »

Azure or AWS experience Data access methods (SQL, GraphQL, APIs) Beneficial Requirements Experience around data science tools and algorithms Manipulation technologies (e.g., WebSockets, Kafka, Spark) TensorFlow, Pandas, pySpark and scikit-learn would be great Salary up to £75K + 20% bonus and benefits package We have interview slots lined more »

Service, tackling the ML Ops loop as a service, interesting challenge. They are going to enable edge AI, another pioneering aspect. Tech stack: Athena, Spark, ECS, Temporal, Python, Flask, Redis, Postgres, React, Plotly, Docker more »

complex issues they are facing. out data-driven analysis, craft solutions to resolve business problems. Artificial Intelligence and data science approaches (Python, R, Matlab, Spark etc). database technologies such as Hadoop. tools that expand the companies tool kit, advancing their ability to serve clients. Experience needed Strong consulting more »

complex issues they are facing. out data-driven analysis, craft solutions to resolve business problems. Artificial Intelligence and data science approaches (Python, R, Matlab, Spark etc). database technologies such as Hadoop. tools that expand the companies tool kit, advancing their ability to serve clients. Experience needed in a more »

end ownership • Python or similar (Ruby or Node) or another Functional Language • JavaScript and associated frameworks, preferably Vue, or similar • Cloud technologies • SQL (advantageous) • Spark (advantageous) • Docker/Kubernetes – advantageous ) • MongoDB, SQL, Postgres & Snowflake (advantageous) • Developing online, cloud based SaaS products. • Leading and building scalable architectures and distributed systems more »

a Data Scientist.DevOps experience in CI/CD.Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow.Experience using Python is a must (tools like AWS and Spark are beneficial)Excellent communication skills and team and colleague engagement.A keen interest in problem-solving and using scalable machine learning to solve the biggest more »

of databases. Snowflake is widely used, as are Docker and Kubernetes for containerisation. ETL and ELT tech are also used every day, primarily Airflow, Spark, Hive and a lot more. You’ll need to come from a strong academic background with some commercial experience in a data heavy software more »

and manage data lake/data warehouse platforms. (Some of the following types of providers: AWS, Microsoft Azure, Google Cloud Platform, Databricks, Snowflake, Cloudera, Spark, MongoDB) Done this at companies using high volumes of data, ideally in retailing. Other sectors where used high volume data would also be relevant more »

Redshift, DynamoDB, Glue and SageMaker Infrastructure-as-Code tools and approaches (we use the AWS CDK with CloudFormation) Data processing frameworks such as pandas, Spark and PySpark Machine learning concepts like model training, model registry, model deployment and monitoring Development and CI/CD tools (we use GitHub, CodePipeline more »