426 to 450 of 469 Apache Spark Jobs in England

Senior Machine Learning Operations Specialist Posting Date: 18 Apr 2025 Function: Brand and Marketing Unit: Consumer Location: One Braham (4140), London, United Kingdom Salary: Competitive with great benefits London, Birmingham or Bristol 3 days in the office/2 days More ❯

rekindle program Note: For more details on rekindle program, please visit - rekindle program Amazon's India Ad Tech organization is seeking a highly quantitative, enthusiastic Data Engineer to drive the development of Ads analytics and insights. Be a part of More ❯

to enhance the user experience. Key skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark/Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up to 95,000 (Depending on More ❯

to enhance the user experience. Key skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on More ❯

to enhance the user experience. Key skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on More ❯

developing Java systems. Proven track record of leading a team and delivering projects with a commercial mindset. Prior experience with Event Sourcing (Kafka, Akka, Spark) and Data Distribution based architecture Experience with NoSQL (Mongo, Elastic, Hadoop), in memory (MEMSQL, Ignite) and relational (Sybase, DB2, SybaseIQ) data store solutions. Strong … Strong communication skills and the ability to work in a team. Strong analytical and problem-solving skills. PREFERRED QUALIFICATIONS Experience with Kubernetes deployment architectures Apache NiFi experience Experience building trading controls within an investment bank ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to More ❯

Computer Science, Data Science, Mathematics, or related field. 5+ years of experience in ML modeling, ranking, or recommendation systems . Proficiency in Python, SQL, Spark, PySpark, TensorFlow . Strong knowledge of LLM algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI …/LLMs Familiarity with distributed computing tools (Hadoop, Hive, Spark). Background in banking, risk management, or capital markets . Why Join? This is a unique opportunity to work at the forefront of AI innovation in financial services . If you're ready to apply cutting-edge ML & GenAI More ❯

models using SQL, Python, and R. Build interactive dashboards and data visualisations with Power BI and Tableau. Process and analyse large-scale datasets using Spark and Hadoop. Work with cloud platforms such as AWS and Azure to enhance data capabilities. Translate complex data insights into actionable recommendations for stakeholders. … large datasets for business impact. Strong problem-solving skills and adaptability to client challenges. Nice-to-Have: Experience with big data technologies such as Spark and Hadoop. Background in public sector, National Security, or Defence projects. Familiarity with GDPR and data privacy regulations. Existing security clearance or eligibility to More ❯

powered by best-in-class understanding of customer behavior and automation. Our work spans multiple technical disciplines: from deep-dive analytics using SQL and Spark SQL for large-scale data processing, to building automated marketing solutions with Python, Lambda, React.js, and leveraging internal personalisation toolkits to create and deploy … data science, machine learning and data mining. Experience with theory and practice of design of experiments and statistical analysis of results. Experience with Python, Spark SQL, QuickSight, AWS Lambda & React.js - Core tools of team. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is More ❯

drive improvements in how millions of customers discover and evaluate products. Our work spans multiple technical disciplines: from deep-dive analytics using SQL and Spark SQL for large-scale data processing, to building automated marketing solutions with Python, Lambda, React.js, and leveraging internal personalisation toolkits to create and deploy … data science, machine learning and data mining. - Experience with theory and practice of design of experiments and statistical analysis of results. - Experience with Python, Spark SQL, QuickSight, AWS Lambda & React.js - Core tools of team. More ❯

to enhance the user experience. Key skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark/Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on More ❯

Data Mesh. Knowledge of data migration projects, particularly large-scale migrations to distributed database platforms. Hands-on experience with big data processing technologies, including Spark (PySpark and SparkScala) and Apache Airflow. Expertise in distributed databases and computing environments. Familiarity with Enterprise Architecture methodologies, ideally TOGAF. Strong leadership experience More ❯

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. PhD Amazon is an equal opportunities More ❯

and build something meaningful. 🛠️ What you'll do: Lead and mentor a junior-heavy team of data engineers Build and scale robust pipelines using Spark, Kafka and Delta Lake Define test-driven, documented and repeatable engineering practices Work closely with AI, research and DevOps to deliver products and insights … do it: 2 days a week in the office (1 day in Oxford and 1 day in London) 🧰 Tech you'll use: Python, SQL, Spark, Kafka, Kubernetes, Docker, Airflow, RabbitMQ, AWS, Delta Lake ✅ You’ll thrive here if you: Believe in clean code, strong documentation and a test-first More ❯

systems, tools, and validation strategies to support new features Help design/build distributed real-time systems and features Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink) Minimum … in Java, Shell, Python development Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus. Experience in the Spring Framework is a plus Experience with test-driven development is a plus We offer a More ❯

to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work on cutting-edge projects, using data to drive strategic insights and business decisions. … e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we'd also like to hear about More ❯

to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work on cutting-edge projects, using data to drive strategic insights and business decisions. … e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we'd also like to hear about More ❯

to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work on cutting-edge projects, using data to drive strategic insights and business decisions. … e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we'd also like to hear about More ❯

to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work on cutting-edge projects, using data to drive strategic insights and business decisions. … e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we'd also like to hear about More ❯

Principal Data Engineer, Consulting Bristol Based You must be eligible for SC Clearance Role Overview The Principal Data Engineer will be responsible for designing and implementing cloud-based data solutions using a range of AWS services. This role involves working More ❯

Principal Data Engineer, Consulting Leeds Based You must be eligible for SC Clearance Role Overview The Principal Data Engineer will be responsible for designing and implementing cloud-based data solutions using a range of AWS services. This role involves working More ❯

machine learning models for business application Experience in Computer Vision modelling and techniques 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. More ❯

machine learning models for business application Experience in Computer Vision modelling and techniques 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. More ❯

methods and machine learning Experience in building machine learning models for business application 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 More ❯

Experience in patents or publications at top-tier peer-reviewed conferences or journals. 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. More ❯