22 of 22 Hadoop Jobs in London

Quantexa components such as: Entity Resolution (ER) Scoring Framework Contextual Network Generation UI Configuration Strong background in Big Data technologies, including:Scala, Apache Spark, Hadoop, ElasticSearch Experience with data modelling and design in the context of large-scale analytics platforms. Strong stakeholder management and communication skills – capable of interfacing ...

closely with stakeholders and translate business requirements into effective AI solutions Desirable Generative AI experience Large Language Models (LLMs) LangChain or similar frameworks Spark, Hadoop or other big data technologies Experience with distributed computing, streaming platforms or workflow orchestration tools Experience monitoring and optimising model performance in production environments ...

production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment, and model governance. Excellent communication and stakeholder management skills with the ability ...

Understanding of Computer Vision: Familiarity with computer vision techniques and libraries like OpenCV. Experience with Big Data Tools: Experience with big data tools like Hadoop, Spark, or Hive. Knowledge of Reinforcement Learning: Understanding of reinforcement learning techniques and algorithms. Familiarity with Robotics: Experience with robotics and robotic process automation ...

Life Sciences. Experience working for a software vendor, SaaS provider, or professional services organisation. Familiarity with Ataccama or similar enterprise data platforms. Exposure to Hadoop/Spark, NoSQL, XSLT, Hive, Kafka, Snowflake, or Databricks. Python or other programming languages. Familiarity with SDLC, code management and upgrades, and Unix/ ...

Cloud; Kubernetes and containerization. AI Expertise: Machine learning model development, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP techniques. Big Data: Experience with Hadoop and Spark. Ethics: Knowledge of AI ethics and governance. Methodologies: Agile and Scrum project management. Other Requirements Verifiable Certification At least one recognized cloud ...

Artificial Intelligence modeling techniques (logit, GLM, time series, random forests, clustering, XGBoost), statistical programming languages (SAS, R, Python, Matlab), big data tools and platforms (Hadoop, Hive, etc.) and cloud platforms (AWS, Azure, GCP). Solid academic record. Strong computer skills. Postgraduate studies and/or specialized courses ...

based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy) is highly beneficial Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial Proven experience implementing CI/CD and DevOps practices, with the ability to improve deployment reliability, testing standards ...

technical concepts clearly to non-technical business partners and consult pragmatically on architecture trade-offs. Bonus Experience: Migration of enterprise-scale legacy platforms (e.g., Hadoop, traditional RDBMS) to GCP. Exposure to streaming platforms like Kafka , MLOps workflows, or data governance tools like Dataplex and Cloud Data Catalog . ...

with Apache Kafka and Apache Flink. Experience helping customers build distributed systems or streaming solutions that use Kafka alongside technologies such as Spark, Flink, Hadoop, Cassandra, etc. Other Relevant Job Details For additional information about location requirements, please discuss with the recruiter following submission of your application. Some travel ...

Strong technical skills in Python and SQL, including building data pipelines and working with large-scale datasets and distributed data platforms (e.g., BigQuery, Snowflake, Hadoop or similar) Experience applying data science, machine learning, or data engineering approaches within data-intensive domains such as Finance or Operations Proficiency with ...

stakeholders. Preferred qualifications, capabilities, and skills Experience designing/implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray) Experience of big data technologies (e.g. Spark, Hadoop) Have constructed batch and streaming microservices exposed as REST/gRPC endpoints Familiarity with GraphQL We recognize that our people are our strength ...

lineage. Support Data Governance initiatives, ensuring data security, privacy and compliance standards are maintained. Work with large and complex datasets using SQL, Python, Spark, Hadoop and modern data technologies. Collaborate with technical and business stakeholders within Agile delivery environments. Support data architecture and data modelling activities across enterprise platforms. … skills and proficiency in Python or similar programming languages. Experience with ETL/ELT tools, data warehousing and automated data pipelines. Knowledge of Spark, Hadoop or similar big data technologies. Strong understanding of Data Governance principles, policies, controls and data lifecycle management. Experience working within Agile delivery environments. Familiarity ...

cluster capabilities Demonstrate advanced proficiency in Python with extensive experience building production applications and services Experience with modern cluster compute technologies (e.g., Kubernetes, Spark, Hadoop Yarn, Ray, Airflow) Experience leading work in a formal software development environment in collaboration with other engineers Strong experience building platforms on the Linux ...

compute cluster capabilities Advanced proficiency in Python, with extensive professional experience in building production applications and services Experience of modern cluster compute - Kubernetes, Spark, Hadoop Yarn, Ray, Airflow are some of the technologies we use Experience leading work in a formal software development environment alongside other engineers ...

Competencies Essential Advanced proficiency in Python, with extensive professional experience in building production applications and services Experience of modern cluster compute - Kubernetes, Spark, Hadoop Yarn, Ray, Airflow are some of the technologies we use Experience leading work in a formal software development environment alongside other engineers in a collaborative ...

processes and systems within the domain of expertise Knowledge of Puppet or similar configuration management tools Knowledge of ‘big data’ platforms, e.g. Horton Works, Hadoop etc. ...

processes and systems within the domain of expertise Knowledge of Puppet or similar configuration management tools Knowledge of ‘big data’ platforms, e.g. Horton Works, Hadoop etc. ...

technology teams to deliver scalable, production-grade Python services and APIs for research and operations. The role emphasizes modern cluster compute technologies (Kubernetes, Spark, Hadoop Yarn, Ray, Airflow) and strong proficiency in Python. A background in mathematics or computing is advantageous. #J-18808-Ljbffr ...

used by researchers and engineers across the firm. Ideal candidates have deep Python expertise, hands-on experience with modern cluster compute technologies (Kubernetes, Spark, Hadoop/Yarn, Ray, Airflow) and a track record of delivering scalable infrastructure in a multi-user #J-18808-Ljbffr ...

solutions with a focus on scalability, reliability, and observability.Strong knowledge of the JVM and server-side Kotlin/Java programming.Solid understanding of the Hadoop ecosystem, including Spark, Hadoop, and Hive.Strong experience with cloud platforms and data infrastructure, especially AWS, including EMR, S3, and Glue.Experience working in Agile environments ...

simplifies the execution of Spark jobs, facilitating the analysis of terabytes of data with ease and cost-effectiveness. The runtime environment is based on Hadoop clusters on EC2 spot instances, dynamically scaling up as required, ensuring high resource utilization and stability. Our team is responsible for the development … implementing computational improvements Making improvements and/or fixing bugs by submitting patches to open-source projects in our stack, such as Spark, Iceberg, Hadoop, Airflow, and many others Acting as an expert on Spark and Scala Mentoring engineers (including through pairing, design discussions, and knowledge-sharing sessions ...