126 to 150 of 259 Apache Spark Jobs in the UK

scalable data analytical solutions in a large-scale business environment Experience in deep analytic focused work leveraging Distributed File System ecosystem tools: Linux, Python, Spark, Hive; and modern data platforms and tools (e.g. Databricks, NoSQL stores) and AI/ML frameworks (e.g. NLP). LLM integration patterns, RAG pipelines ...

collaboratively Strong communication and interpersonal skills Preferred qualifications: Experience in the gaming or entertainment industry Experience working with tools and technologies such as Spark, Snowflake, Qwak, MLFlow, Airflow, etc Contributions to open‐source AI/ML projects or participation in AI/ML competitions (e.g., Kaggle) Experience with training ...

collaboratively Strong communication and interpersonal skills Preferred qualifications: Experience in the gaming or entertainment industry Experience working with tools and technologies such as Spark, Snowflake, Qwak, MLFlow, Airflow, etc Contributions to open‐source AI/ML projects or participation in AI/ML competitions (e.g., Kaggle) Experience with training ...

batch processing, and scalable enterprise workloads, integrating with clients' incumbent technology estates. Implement hybrid-cloud and multi-cloud strategies using modern data infrastructure (Kafka, Spark, data lakes), MLOps practices, and deployment platforms. Ensure compliance with data privacy regulations (including UK GDPR) and responsible AI standards, incorporating governance, observability ...

language like Go, Java, JavaScript, Python Distributed Software Architecture exposure in high volume production scenarios Working with Data Mesh, BigData technologies such as EMR, Spark, Databricks Designing, tracking and testing to SLOs and Chaos Engineering toError Budgets Implementing Business Continuity (BCP) and Disaster Recovery (DRP) plans including tracking ...

writing, talks, or threads about building with AI. MLOps and model serving experience (BentoML, MLflow, Vertex AI, SageMaker). Streaming and batch ingestion pipelines (Spark, Airflow, Beam, Glue). Healthcare or life sciences domain exposure. AWS Professional certification or other relevant industry certifications. What We Offer At Newpage ...

data models and outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What ...

Essential Skills of the Analytical Platform Engineer Python Kubernetes Docker CI/CD pipelines (GitLab or similar) Desirable skills MLOps and data engineering concepts Apache Spark Scala S3-compatible object storage Graph database technologies If you are an driven and experienced Analytical platform engineer looking for their next ...

rather than “telling”, preferring to inspire stakeholders through built examples. Technical Expertise: Deep experience in core data & AI technologies, including languages (Python, SQL), frameworks (Apache Spark) and platforms (Databricks, etc). Collaboration: You can orchestrate diverse teams to achieve a common goal and explain complex tech ...

unstructured workloads at scale - Integrate multiple sources into modern cloud platforms - Collaborate across engineering and delivery on mission-critical programmes The environment Python, SQL, Spark, Java or Scala AWS, Azure or GCP modern distributed and cloud-native architectures What we need - Active DV clearance essential - Production-scale pipeline experience ...

unstructured workloads at scale - Integrate multiple sources into modern cloud platforms - Collaborate across engineering and delivery on mission-critical programmes **The environment** Python, SQL, Spark, Java or Scala · AWS, Azure or GCP · modern distributed and cloud-native architectures **What we need** - Active DV clearance essential - Production-scale pipeline experience ...

Databricks. Familiarity with cloud‐based application development (AWS & Azure). Familiarity with one or more ML frameworks and technologies: scikit‐learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, Triton. Strong communication skills, able to express ideas clearly and collaborate across teams. #J-18808-Ljbffr ...

Python. Experience with Kubernetes and Docker. Understanding of CI/CD pipelines (e.g. GitLab). Exposure to data platforms, MLOps or machine learning environments. Spark or Scala. AWS services (e.g. S3). Elasticsearch or graph databases. OIDC/OAuth. Node.js or React. To apply for this Analytics Platform Engineer ...

loop, calibration, guardrails, auditability) Experience with hyperparameter tuning at scale and experimentation frameworks Strong technical experience with SQL and Python; significant experience with Spark for large-scale data processing Excellent interpersonal skills with demonstrable collaborative leadership capabilities (coaching, mentoring, guiding, delivery ownership and stakeholder engagement) and strong standards ...

Advanced degree (Master’s or PhD) in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics or Statistics). Proficiency in designing, implementing (python, spark, cloud environments) and deploying quantitative models in a large financial institution, preferably in Front Office. Experience in data analytics or screening model development. Subject ...

collaboration and delivery. What We’re Looking For Strong proficiency in Python, Scala, or Java, with hands-on experience of Big Data technologies including Spark, Hadoop, or similar distributed processing frameworks. Experience building real-time event streaming solutions using technologies such as Kafka, Spark Streaming, or Amazon Kinesis … solutions. Bonus Points For Expertise in data modelling, schema design, and working with structured and semi-structured datasets. Experience with distributed technologies including Hadoop, Spark, HDFS, Hive, Databricks, or AWS Lake Formation. Knowledge of automating ingestion and transformation frameworks within cloud-native data platforms. Experience delivering solutions within highly ...

collaboration and delivery. What We’re Looking For Strong proficiency in Python, Scala, or Java with hands-on experience in Big Data technologies including Spark, Hadoop, or similar distributed processing frameworks. Practical experience building real-time event streaming pipelines using technologies such as Kafka, Spark Streaming, or Amazon … environments. Bonus Points For Expertise in data modelling, schema design, and working with structured and semi-structured datasets. Experience with distributed technologies including Hadoop, Spark, HDFS, Hive, Databricks, or AWS Lake Formation. Knowledge of automating cloud-based ingestion and transformation frameworks. Experience delivering data engineering solutions within highly regulated ...

oriented architecture, data mesh, data Lake and data analytics solution using Azure data services with large and multi-format data proficient coding experience using Spark (Python/Scala) and SQL hands on experience with one of scripting language: Linux/PowerShell. prior ETL development experience using industry tool e.g. … agile SDLC environment, leveraging modern programming languages, DevOps, and test-driven development Exposure to Docker, Git hands on experience with pipeline orchestration tools like Apache Airflow, Autosys, Control-M – Preferred Apache Ariflow proficient at working with large and complex code bases using GitLab/Github, Fork/Pull ...

Role : Senior Data Manager/Lead Location : London (Hybrid) Comp : £115,000 P/A (FTC) Duration: 12 Months Skills: Python (Programming Language), SQL, Apache Spark, PySpark, Azure Databricks, Data Lakes, Data Warehouse Architecture, Leadership, Software Development, Management The role We're partnering with a large, data-driven ...

kubernetes) Experience with Key value stores Experience in git and basic Unix Commands You might also have (Desirable) Experience with large data processing technologies (Apache Spark) Other helpful information Hybrid Working: At EMBL-EBI we are pleased to offer hybrid working options for all our employees. A dedicated ...

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, Facebook. Benefits At Databricks, we strive to provide comprehensive benefits ...

while adhering to regulatory standards. You’ll own the codebase, drive DevOps practices with Terraform, CI/CD, Jenkins and Harness, and work with Spark/Hadoop and AWS services like Glue, S3, and Lake formation. #J-18808-Ljbffr ...

hybrid approaches) Strong proficiency in Python and common ML libraries (e.g. TensorFlow, PyTorch, Scikit-learn) Experience working with large-scale data processing tools (e.g. Spark) Strong understanding of software engineering best practices If you are interested in the Machine Learning Engineer role, please send an application detailing proof ...

Python and a solid understanding of software development lifecycle principles Experience in modular code, unit testing, regression testing, and distributed computing (e.g., MapReduce, Spark DataFrames) Proven track record of leading and executing enterprise‐wide initiatives Strong communicator able to explain complex methodologies to senior stakeholders, auditors and regulators Skills ...

experience Term structure modelling, stochastic calculus or Monte Carlo methods Interest rate curve bootstrapping Algorithmic execution experience Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.) We’re people without borders — without judgement or prejudice, too. We want to work with the best people, no matter their background. ...