26 to 39 of 39 Hadoop Jobs in the East of England

e.g., Kubernetes). Preferred Skills: Experience with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP More ❯

AWS. Working with a variety of stakeholders and cross-functional teams, performing analysis of their data requirements and documenting it. Big data tools and stream-processing systems such as: Hadoop, Spark, Kafka, Storm, Spark-Streaming. Relational SQL and NoSQL databases, including Postgres and Cassandra. Experience designing and implementing knowledge graphs for data integration and analysis. Data pipeline and workflow More ❯

Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). Ability to work independently and lead projects from inception to deployment. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is desirable. MSc or PhD in Computer Science, Data Science, Artificial Intelligence, or related field is preferred. #J-18808-Ljbffr More ❯

learn). Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is desirable. MSc or PhD in Computer Science, Data Science, Artificial Intelligence, or related field is preferred. More ❯

Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). • Ability to work independently and lead projects from inception to deployment. • Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is desirable. • MSc or PhD in Computer Science, Data Science, Artificial Intelligence, or related field is preferred. What does ‘Get The More ❯

Comfortable working independently on end-to-end ML pipelines - Experienced in visualisation tools (e.g. Matplotlib, Seaborn, Tableau) Desirable: - Exposure to cloud platforms (AWS, GCP, Azure) and big data tools (Hadoop, Spark) - MSc/PhD in Computer Science, AI, Data Science, or related field More ❯

Skilled in statistical modelling and data visualization tools (e.g., Tableau, Seaborn, Matplotlib). Able to independently lead complex projects from design to deployment. Desirable: Experience with big data tools (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure). MSc or PhD in Computer Science, Data Science, AI or related disciplines. Ready to shape the future of AI? Apply now More ❯

Skilled in statistical modelling and data visualization tools (e.g., Tableau, Seaborn, Matplotlib). Able to independently lead complex projects from design to deployment. Desirable: Experience with big data tools (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure). MSc or PhD in Computer Science, Data Science, AI or related disciplines. Ready to shape the future of AI? Apply now More ❯

Skilled in statistical modelling and data visualization tools (e.g., Tableau, Seaborn, Matplotlib). Able to independently lead complex projects from design to deployment. Desirable: Experience with big data tools (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure). MSc or PhD in Computer Science, Data Science, AI or related disciplines. Ready to shape the future of AI? Apply now More ❯

Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). Ability to work independently and lead projects from inception to deployment. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is desirable. TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health More ❯

BASIC QUALIFICATIONS - 3+ years of experience in cloud architecture and implementation - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience in consulting, design and implementation of serverless distributed solutions - Experience in software development with object oriented language PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in More ❯

languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Ability to work independently and lead projects from inception to deployment. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure). Preferred Skills: • MSc or PhD in Computer Science, Artificial Intelligence, or related field. ADDITIONAL NOTES: • Ability to work independently or More ❯

production setting Excellent critical thinking, writing and verbal communication skills High level of competence in Python, Spark, and Unix/Linux scripts Demonstrable experience using distributed systems (for example, Hadoop, Hive, Impala) Extensive experience with SAS/SQL/Hive for extracting and aggregating data Experience with time series modelling problems Deep learning experience with TensorFlow Additional Information Visa More ❯

production setting Excellent critical thinking, writing and verbal communication skills High level of competence in Python, Spark, and Unix/Linux scripts Demonstrable experience using distributed systems (for example, Hadoop, Hive, Impala) Extensive experience with SAS/SQL/Hive for extracting and aggregating data Experience with time series modelling problems Deep learning experience with TensorFlow Additional Information Visa More ❯