101 to 125 of 157 Apache Spark Jobs in the UK

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 »

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 »

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 »

DW/BI systems · Demonstrated ability in data modeling, ETL development, and Data warehousing. · Strong experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.) · Expertise in a BI solution like Power BI · Hands on experience in modelling databases (particularly nosql), working on indexes, materialized views, performance tuning … with impressive visualization (Power BI) · Experience in building large scale DW/BI systems for B2B SAAS companies · Experience with open-source tools like Apache Flink and AWS tools like S3, Redshift, EMR and RDS. · Experience with AI/Machine Learning and Predictive Analytics · Experience in developing global products more »

processes, and data warehousing. - Significant exposure and hands on at least 2 of the programming languages - Python, Java, Scala, GoLang. - Significant experience with Hadoop, Spark and other distributed processing platforms and frameworks. - Experience working with Open table/storage formats like delta lake, apache iceberg or apache hudi. - Experience of developing and managing real time data streaming pipelines using Change data capture (CDC), Kafka and Apache Spark. - Experience with SQL and database management systems such as Oracle, MySQL or PostgreSQL. - Strong understanding of data governance, data quality, data contracts, and data security best practices. - Exposure 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.Our Commitment to Diversity and InclusionAt Databricks, we are more »

we encourage you to apply. Python App Developer Requirements: Proficiency with Python or PySpark. Exposure to cloud technologies such as Airflow, Astronomer, Kubernetes, AWS, Spark, Kafka. Experience with Big Data solutions or Relational DB. Demonstrated knowledge of software applications and technical processes within a cloud or microservice architecture. Hands more »

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 more »

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 more »

and implement pre-processing pipelines for large data, create visualisation and reports for model performance, whilst collaborating with various engineers to improve knowledge and spark innovation. As the Machine Learning Engineer you will ideally have a degree in a relevant industry; Computer Science, Maths, AI, or similar, at least more »

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 more »

in Python, R, and SQL. Extensive experience (over 5 years) in building Machine Learning models. Understanding of underlying data systems like Cloud architectures, K8S, Spark, and SQL. Fluency in English and German, with French being a plus. Desirable experience in Consulting or Customer-facing Data Science roles, Data Engineering more »

you! Minimum Qualifications Bachelors or Masters Degree in Engineering or Computer Applications Hands-on experience with MS SQL Server and GCP Familiarity with BQ, Spark, Hive, Pig, and other analytical tools. Understanding of finance domain. Preferred Qualification Experience in SAP data modelling Genpact is an Equal Opportunity Employer and more »

skilled SC Cleared DevSecOps Engineer to join their team where your key responsibilities will be to : Manage operational procedures. Transform and process data using Apache Spark. Administer AWS RDS with MySQL. Work with the Hadoop platform. Create reports using Tableau. Utilize Red Hat Decision Central Skills/Experience Required … of the SC Cleared DevSecOps Engineer: Strong operational procedures knowledge. Proficient in Apache Spark, AWS RDS (MySQL), and Hadoop. Knowledge of Tableau and Red Hat Decision Central If this SC Cleared DevSecOps Engineer role sounds a good fit for you get in touch now for a prompt discussion more »

engineer will supply advice to analytical users on how they can access and utilise the new datasets. Qualities Comfortable with Python - ideally experience with Apache Spark and Pyspark Previous data analytics software experience Able to scope new integrations and translate analytical user needs into technical requirement. UK based more »

ideally in a start-up or scale-up. - Machine learning libraries and frameworks (TensorFlow, PyTorch, scikit-learn). - Python - Big data processing tools (e.g., Spark). The role offers a salary range of between £70-100K depending on experience. The successful candidate must be able to work from more »

in programming languages commonly used in machine learning, preferably Python. Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, scikit-learn, or Apache Spark. Proven track record of developing and implementing machine learning solutions in a professional setting. Passion for exploring new technologies and driving innovation in more »

product experimentation, Causal AI, and advanced statistical techniques. Deep knowledge of data science tools (e.g., scikit-learn, TensorFlow, PyTorch) and big data technologies (e.g., Spark). Proficiency in Python for data manipulation, model building, and scripting. Strong communication skills to present findings to both technical and non-technical audiences. more »