Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, ApacheSpark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that More ❯
Image Processing and CNNs Excellent communication skills Degree in CS, maths, statistics, engineering, physics or similar Desirable Requirements: NoSQL databases - Elasticsearch, MongoDB etc (bonus) Modern Data tools such as Spark/Beam (bonus) Streaming technologies such as Spark/Akka Streams (bonus) Tagged as: Industry , NLP , United Kingdom More ❯
learning methods and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing More ❯
learning methods and machine learning - Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing More ❯
suitable for machine learning research and production. High-Performance Data Pipelines Develop and optimize distributed systems for data processing, including filtering, indexing, and retrieval, leveraging frameworks like Ray, Metaflow, Spark, or Hadoop. Synthetic Data Generation Build and orchestrate pipelines to generate synthetic data at scale, advancing research on cost-efficient inference and training strategies. Experiments & Analysis Design and conduct … of inference of pretrained models, 3D rendering engines, and/or other softwares. Distributed Computing & MLOps Demonstrated proficiency in setting up large-scale, robust data pipelines, using frameworks like Spark, Ray, or Metaflow. Comfortable with model versioning, and experiment tracking. Performance Optimization Good understanding of parallel and distributed computing. Experienced with setting up evaluation methods Cloud & Storage Systems Experience More ❯
learning PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Excellent technical publications and material contributions to the CV/ML More ❯
At least one successful cross-system full-link data fortification implementation experience. Familiarity with at least one language, such as Java, Go, or Python, and knowledge of Hadoop/Spark ecosystems in the big data domain. Preference for candidates with multinational corporate experience in data security and over 3 years of experience in international data security, encryption engineering, or More ❯
At least one successful cross-system full-link data fortification implementation experience. Familiarity with at least one language, such as Java, Go, or Python, and knowledge of Hadoop/Spark ecosystems in the big data domain. Preference for candidates with multinational corporate experience in data security and over 3 years of experience in international data security, encryption engineering, or More ❯
e.g., GDPR, CCPA, SOC). Preferred Experience Proficiency in SQL, data modeling, ETL processes, and modern data warehousing. Experience with functional programming and real-time stream processing (e.g., Flink, Spark Streaming, or similar). Demonstrated ability to handle production environments processing tens of thousands of events per second from diverse sources. This is an opportunity to join a mission More ❯
e.g., GDPR, CCPA, SOC). Preferred Experience Proficiency in SQL, data modeling, ETL processes, and modern data warehousing. Experience with functional programming and real-time stream processing (e.g., Flink, Spark Streaming, or similar). Demonstrated ability to handle production environments processing tens of thousands of events per second from diverse sources. This is an opportunity to join a mission More ❯
e.g., GDPR, CCPA, SOC). Preferred Experience Proficiency in SQL, data modeling, ETL processes, and modern data warehousing. Experience with functional programming and real-time stream processing (e.g., Flink, Spark Streaming, or similar). Demonstrated ability to handle production environments processing tens of thousands of events per second from diverse sources. This is an opportunity to join a mission More ❯
equivalent UCAS points (please ensure A-Level grades are included on your CV). Basic scripting knowledge in Python or Bash Excellent customer-facing skills You have a sales spark - while this role isn't a focussed sales role, this is required due to the nature of the role A motivated self-starter with a problem-solving attitude Strong More ❯
equivalent UCAS points (please ensure A-Level grades are included on your CV). Basic scripting knowledge in Python or Bash Excellent customer-facing skills You have a sales spark - while this role isn't a focussed sales role, this is required due to the nature of the role A motivated self-starter with a problem-solving attitude Strong More ❯
products includes on-premise cloud solutions such as Openstack, MicroCloud and Ceph, and solutions that could be deployed either on-premises or in public clouds such as Kubernetes, Kubeflow, Spark, PostgreSQL, etc. The team works hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of More ❯
scale data environments. We're looking for a skilled Agentic AI Engineer to join our growing team and play a pivotal role in developing scalable, intelligent models using Python, Spark, and MCP-based infrastructure. Role Overview: As an Agentic AI Engineer, you will be responsible for designing and developing intelligent agents capable of autonomous decision-making in distributed environments. … You will leverage your expertise in Python and Spark to process large-scale data, and use modelling techniques to enable complex agentic behaviours. Experience working with MCP servers or similar distributed computing platforms is key. Key Responsibilities: Design and develop agentic AI systems that operate autonomously across diverse data sources and workflows. Implement scalable data processing pipelines using ApacheSpark and Python. Build, train, and fine-tune advanced AI/ML models for agent reasoning, planning, and execution. Integrate solutions with MCP (Massively Concurrent Processing) servers or equivalent architectures. Work closely with data engineers, researchers, and platform teams to ensure robust deployment. Continuously research and integrate emerging techniques in agent-based AI, multi-agent systems, and reinforcement More ❯
for real-world applications such as fraud detection, network analysis, and knowledge graphs. - Optimize performance of graph queries and design for scalability. - Support ingestion of large-scale datasets using Apache Beam, Spark, or Kafka into GCP environments. - Implement metadata management, security, and data governance using Data Catalog and IAM. - Work across functional teams and clients in diverse EMEA More ❯
Scala programming on the JVM Experience with concurrency, memory management and I/O Experience with Linux or other Unix-like systems Experience with distributed databases, DataStax Enterprise or Apache Cassandra in particular Experience with distributed computing platforms, ApacheSpark in particular ABOUT BUSINESS UNIT IBM Software infuses core business operations with intelligence-from machine learning to More ❯
Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, ApacheSpark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that More ❯
Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, ApacheSpark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet More ❯
an excellent understanding of data analytics. The Client would also like to see experience of managing and leading a team of Data Scientists. Should have experience of SCALA/SPARK and Hadoop. Initially this is a 3 month contract assignment in Canary Wharf ?" with likelihood that it will go on beyond that point. Location is Canary Wharf London. Please More ❯
Experience programming in Java, C++, 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. - Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for More ❯
Gloucestershire, England, United Kingdom Hybrid / WFH Options
BrightBox Group
nature of the data we handle. Required - Proficiency in AWS services and tools related to data storage, processing, and analytics. - Strong experience with big data technologies such as Hadoop, Spark, or similar frameworks. - Active SC clearance is essential for this role. More ❯
