126 to 150 of 184 Apache Spark Jobs in the UK excluding London

cohesive data repositories to support data-driven decision-making. Ingest data from a variety of sources, including on-premise SQL databases, REST APIs, and Apache Kafka streams. Apply data cleansing rules to ensure data meets quality and consistency standards. Model data appropriately for usage scenarios, including designing single-source … Code (IaC) experience, e.g., Terraform, ARM templates, Bicep Familiarity with test-driven development (TDD) methodologies Experience with streaming technologies, e.g., Azure Stream Analytics or Spark Structured Streaming Power BI engineering or integration experience Certified Scrum Developer (CSD) or similar Agile certification Experience with data governance tools, such as Microsoft More ❯

contribute to architectural decisions. What We’re Looking For: Strong Python programming skills (5+ years preferred). Deep experience with distributed systems (e.g., Kafka, Spark, Ray, Kubernetes). Hands-on work with big data technologies and architectures. Solid understanding of concurrency, fault tolerance, and data consistency. Comfortable in a More ❯

MMM. Expertise in regression modeling, statistical and ML techniques . Experience with probabilistic programming, Bayesian methods, and MCMC. Proficient in SQL and/or Spark for large-scale data mining. Solid understanding of statistical foundations and mathematical modelling. Familiarity with cloud-based frameworks; Azure preferred. Advanced degree (MS/ More ❯

data at scale/data pipelines, with any experience of bioinformatics/genome data advantageous. Experience of data processing platforms such as Kafka and Spark would also be useful Strong experience with Python, with any additional skills with R and/or C++ of benefit Experience of building a More ❯

data at scale/data pipelines, with any experience of bioinformatics/genome data advantageous. Experience of data processing platforms such as Kafka and Spark would also be useful Strong experience with Python, with any additional skills with R and/or C++ of benefit Experience of building a More ❯

SQL-based feature engineering to model development in Python and cloud deployment (AWS) Prototype and test new ideas that solve real business problems or spark client innovation Take ownership of workstreams within larger projects, with opportunities to lead as you grow Work across the stack — from APIs and infrastructure More ❯

data science techniques , including regression, classification, and machine learning. Experience with deep learning or generative AI is a plus but not essential. Proficiency in (Spark)SQL and Python . Experience with PySpark is beneficial but not required. Experience designing and implementing robust testing frameworks . Strong analytical skills with More ❯

data science techniques , including regression, classification, and machine learning. Experience with deep learning or generative AI is a plus but not essential. Proficiency in (Spark)SQL and Python . Experience with PySpark is beneficial but not required. Experience designing and implementing robust testing frameworks . Strong analytical skills with More ❯

data science techniques , including regression, classification, and machine learning. Experience with deep learning or generative AI is a plus but not essential. Proficiency in (Spark)SQL and Python . Experience with PySpark is beneficial but not required. Experience designing and implementing robust testing frameworks . Strong analytical skills with More ❯

data science techniques , including regression, classification, and machine learning. Experience with deep learning or generative AI is a plus but not essential. Proficiency in (Spark)SQL and Python . Experience with PySpark is beneficial but not required. Experience designing and implementing robust testing frameworks . Strong analytical skills with More ❯

data science techniques , including regression, classification, and machine learning. Experience with deep learning or generative AI is a plus but not essential. Proficiency in (Spark)SQL and Python . Experience with PySpark is beneficial but not required. Experience designing and implementing robust testing frameworks . Strong analytical skills with More ❯

s degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python, Spark, and SQL Experience implementing and validating a range of machine learning and optimization techniques Effective scientific communication for varied audiences Autonomy and ownership of More ❯

Functional Relevance of Work Experience: 15+ years of experience as an Enterprise Architect. 5+ years of industry exposure to the Government Sector. Certification across Spark and TOGAF. Other Desired Skills: Skilled in generating business cases and canned presentation material that can be reused across multiple customers. Strong leadership abilities More ❯

problems. Experience with cloud technologies (AWS or GCP), via hands-on work or certification. Practical experience with data lake or data warehouse technologies (e.g., Spark, ETL, Databricks). Preferred Qualifications, Capabilities, and Skills Experience with metadata processes and technology, along with a background in data management and data quality. More ❯

machine learning systems such as profiling and debugging and understanding of system performance and scalability Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. PREFERRED QUALIFICATIONS Experience with popular deep learning frameworks such as MxNet and Tensor Flow. PhD Amazon is an More ❯

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. PhD Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a More ❯

s Degree Required technical and professional expertise Design, develop, and maintain Java-based applications for processing and analyzing large datasets, utilizing frameworks such as Apache Hadoop, Spark, and Kafka. Collaborate with cross-functional teams to define, design, and ship data-intensive features and services. Optimize existing data processing … Technology, or a related field, or equivalent experience. Experience in Big Data Java development. In-depth knowledge of Big Data frameworks, such as Hadoop, Spark, and Kafka, with a strong emphasis on Java development. Proficiency in data modeling, ETL processes, and data warehousing concepts. Experience with data processing languages More ❯

security and Identity and Access Management (IAM). Knowledge of vector databases and retrieval-augmented generation (RAG). Data pipeline development experience using Airflow, Spark, or similar tools. Experience with AWS Lambda and DynamoDB Streams. Why you'll love working at WorkBuzz - Our culture is fast-paced and dynamic More ❯

opportunities and enhancing the platform’s capabilities SKILLS AND EXPERIENCE The successful Senior Data Engineer will have the following skills and experience: Python SQL Spark Snowflake AWS Ideally you will also have: DBT Jenkins Git Tableau BENEFITS The successful Lead Data Engineer will receive the following benefits: Salary between More ❯

for training, inference, monitoring, and iteration Strong background of ML/DL/LLM algorithms, model architectures, and training techniques Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages What you'll get in return An exciting opportunity to join an international organisation More ❯

Experience in building machine learning models for business applications Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc. Experience in implementing Computer Vision algorithms Amazon is an equal opportunities employer. We believe passionately that employing a More ❯

such as Java, C++, Python, or related. Experience with neural deep learning methods and machine learning. Familiarity with modeling tools like R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy. Experience with large-scale distributed systems such as Hadoop, Spark. Amazon is an equal opportunity employer. For accommodations during More ❯

a track record of thought leadership and contributions that have advanced the field. - 2+ years experience with large scale distributed systems such as Hadoop, Spark etc. - Excellent written and spoken communication skills Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status More ❯

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 More ❯

Our systems are self-healing, responding gracefully to extreme loads or unexpected input. We use modern languages like Kotlin and Scala, Data technologies Kafka, Spark, MLflow, Kubeflow, VastStorage, StarRocks and agile development practices. Most importantly, we hire great people from around the world and empower them to be successful. More ❯