201 to 225 of 312 Apache Spark Jobs in London

deploying ML-powered services into production.Strong Python and Java, both of which are in active use across the team's production services.Experience with Snowflake, Spark, Databricks or similar technologies, CI/CD pipelines, and modern DevOps tooling.Solid understanding of SecOps practices and security-conscious system design.Demonstrable track record ...

powered services into production. Strong Python and Java, both of which are in active use across the team's production services. Experience with Snowflake, Spark, Databricks or similar technologies, CI/CD pipelines, and modern DevOps tooling. Solid understanding of SecOps practices and security-conscious system design. Demonstrable track ...

DatabricksFamiliarity in Cloud-based application development (we use AWS & Azure)Familiarity with one or more ML frameworks and technologies: scikit-learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, TritonStrong communication skills, able to express ideas clearly and collaborate across teamsAdditional InformationBring all of you to workWe create ...

leader, and/or technical program manager. Data Engineering Proficiency : Expertise in SQL, Python, Pandas, Matlab, or R. Bonus if familiarity with Influx, Grafana, Spark, Polars, Arrow, Kafka, Beam, and Flink. [Bonus] In-Field Hardware Mastery : Proficiency with hardware engineering tools such as DAQs, DDS, Nix, RTOS, MCAP ...

cloud platforms (AWS, Azure, GCP)Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuningFamiliarity with the Hadoop and/or Spark ecosystemsHow you'll stand out Experience with PythonData-Science knowledgeBasic knowledge of JavaFamiliarity with ML-Ops practices and toolsWhat does the hiring process look ...

fastest growing scale-upsExperience in the following would be beneficial but not essential:Working with big data technology, ideally Spark but others will also be useful such as Hadoop or ElasticsearchExperience with DevOps tooling and approaches (automation and tooling is something we are passionate about, we even have ...

retrieval, and multi‐modal representation learning. Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands‐on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge graphs, or graph embeddings to map complex ...

semantic retrieval, and multi-modal representation learning.Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands-on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP).Desired:Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge graphs, or graph embeddings to map complex ...

retrieval, and multi-modal representation learning. Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands-on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge graphs, or graph embeddings to map complex ...

service discovery.A track record of driving technical strategy across teams—not just executing within one.Valuable ExperienceDistributed storage systems (e.g. Ceph)Big data infrastructure: Hadoop, Spark, HBase, Kafka.Observability stack design: Prometheus, Grafana, ELK, Mimir, Loki, Tempo.Secrets management (Vault), certificate management, access control at scale.Hybrid cloud architectures: federating public cloud ...

enhance collaboration and delivery.What We’re Looking ForStrong 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 within … high-quality technical solutions.Bonus Points ForExpertise 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 regulated industries ...

improve collaboration and delivery.What We’re Looking ForStrong 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 Kinesis within … teams and client environments.Bonus Points ForExpertise 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 industries such ...

enhance collaboration and delivery. What We're Looking ForStrong 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 … technical solutions. Bonus Points ForExpertise 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 ...

improve collaboration and delivery. What We're Looking ForStrong 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 … client environments. Bonus Points ForExpertise 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 ...

delivery. Experience working across cross-functional teams including Architecture, Product, Engineering, and Business stakeholders. Data Engineering & Platforms Databricks Delta Lake Unity Catalog dbt Spark/PySpark Data pipeline development and optimisation Lakehouse architecture Data integration and ETL/ELT frameworks Data platform design and implementation Cloud Technologies … subject to confirmation) Start Date: ASAP/Short notice preferred Apply If you are an experienced Principal Data Engineer with expertise across Databricks, dbt, Spark, and AWS , and enjoy combining technical leadership with hands-on engineering delivery, we'd like to hear from you. Apply with your latest ...

required; experience with additional cloud providers is a plus.Demonstrated success leading initiatives involving complex data pipelines and analytics platforms utilizing technologies such as Hive, Spark, Presto, Cassandra, Hadoop, and ML/NLP capabilities.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence ...

money doing something you are passionate about.My client is based in LondonFollow me on Twitter for more roles and news @SebFintechSytems ENgineer – Security, Hadoop, SPark, debian, SELinux, Debian, puppet, ruby , python, kerberos ...

experience with additional cloud providers is a plus. Demonstrated success leading initiatives involving complex data pipelines and analytics platforms utilizing technologies such as Hive, Spark, Presto, Cassandra, Hadoop, and ML/NLP capabilities. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence ...

looking for a mixture of the following skills: Python Kubernetes Docker CI/CD basics (Gitlab pipelines) Data science and MLOps knowledge (highly desirable) Spark (highly desirable) Scala (highly desirable) S3 (highly desirable) Graph databases (highly desirable) Elasticsearch (highly desirable) Vector stores (highly desirable) OIDC/OAuth (highly desirable ...

networking, storage, to applications Work in Python to design and deliver open source code Architect cloud infrastructure solutions like OpenStack, Kubernetes, Ceph, Hadoop and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud) Coach and develop your colleagues where you have insights Grow a healthy, collaborative ...

with product stakeholders to align technical strategy with business goals and resolve blockers across the team. Apply efficient data transformations using distributed computing (e.g., Spark, Dask) and ensure robust test coverage for production systems. Mentor junior team members and utilise model explainability methods to drive feature performance improvements. About ...

problems.Collaborate with product stakeholders to align technical strategy with business goals and resolve blockers across the team.Apply efficient data transformations using distributed computing (e.g., Spark, Dask) and ensure robust test coverage for production systems.Mentor junior team members and utilise model explainability methods to drive feature performance improvements.About You5+ years ...

withFX or financial markets experienceTerm structure modelling, stochastic calculus or Monte Carlo methodsInterest rate curve bootstrappingAlgorithmic execution experienceData 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. ...

such as customer lifetime value, risk scoring, financial crime or marketing analytics.Technical proficiency with SQL databases and analytical tools such as Python, R or Spark, with an openness to using approved AI-assisted capabilities to improve productivity and code quality where appropriate.Strong experience developing dashboards and data visualisations using ...

with product stakeholders to align technical strategy with business goals and resolve blockers across the team. Apply efficient data transformations using distributed computing (e.g., Spark, Dask) and ensure robust test coverage for production systems. Mentor junior team members and utilise model explainability methods to drive feature performance improvements. About ...