426 to 450 of 605 Apache Spark Jobs in the UK

PyTorch) into real customer value Working closely with engineering teams using TypeScript, Node.js, React, and Next.js Partnering with data teams working across AWS, Kafka, Spark, and modern data pipelines Shaping products built on secure, scalable fintech architecture (Event-driven, microservices, serverless) Running discovery experiments and validating concepts at speed ...

Description: This is a generalist mid-level backend position within the Ads Organization. Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Kafka Data stores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Airflow, Docker Job responsibilities: You will work with the existing engineering team and help ...

PyTorch) into real customer value Working closely with engineering teams using TypeScript, Node.js, React, and Next.js Partnering with data teams working across AWS, Kafka, Spark, and modern data pipelines Shaping products built on secure, scalable fintech architecture (Event-driven, microservices, serverless) Running discovery experiments and validating concepts at speed ...

Organization. Ads are the fuel that powers the client's mission. Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Kafka Data stores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Airflow, Docker Job responsibilities: You will work with the existing engineering team and help contribute ...

Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics ...

Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics ...

Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics ...

Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics ...

Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics ...

Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics ...

Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics ...

Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics ...

Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics ...

Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics ...

program supports beginners transitioning into the data domain. Key Responsibilities Learn to design and build data pipelines using tools such as Python, SQL, and Apache Airflow Assist in collecting, transforming, and loading (ETL) data from multiple sources Support data warehousing solutions using platforms like BigQuery, Snowflake, Redshift, or Azure … processes or data modelling Exposure to cloud platforms (AWS, Azure, GCP) Awareness of data visualisation tools or analytics platforms Understanding of Big Data concepts (Spark, Kafka, Hadoop) What You’ll Gain Practical experience working on real-world data engineering projects 1:1 mentorship from experienced Data Engineers Guided training ...

best practices. Required Skills and Experience * Proven experience as a Data Engineer working with Azure cloud services. * Strong proficiency in Databricks, including PySpark, Spark SQL, notebooks, Delta Lake, and job orchestration. * Strong SQL and data modeling skills (e.g., dimensional modeling, data vault). * Experience with Azure Data Factory … Data Engineer Associate/Professional, Azure Data Engineer Associate). * Experience with Azure Synapse SQL or serverless SQL pools. * Familiarity with streaming technologies (e.g., Spark Structured Streaming, Kafka, Event Hub). * Experience with infrastructure-as-code (Terraform or Bicep). * Background in BI or analytics engineering (Power ...

Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations. We build and operate ground-breaking, ultra-secure ...

systems. Influence Opinion and decision-making across AI and ML Skills Python SQL/Pandas/Snowflake/Elasticsearch Docker/Kubernetes Airflow/Spark Familiarity with GenAI models/libraries Requirements 3+ years of relevant software engineering experience post-graduation A degree (ideally a Master’s) in Computer ...

systems. Influence Opinion and decision-making across AI and ML Skills Python SQL/Pandas/Snowflake/Elasticsearch Docker/Kubernetes Airflow/Spark Familiarity with GenAI models/libraries Requirements 3+ years of relevant software engineering experience post-graduation A degree (ideally a Master’s) in Computer ...

Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with data processing frameworks (Spark, Dask) for large-scale workloads Understanding of data governance and compliance frameworks ...

Feast, AWS Feature Store) • Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) • Familiarity with Infrastructure as Code (Terraform, CloudFormation) • Experience with data processing frameworks (Spark, Dask) for large-scale workloads • Understanding of data governance and compliance frameworks ...

deliver at pace and scale. The toolkit you’ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker … Foundry (full training provided). Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where data ...

deliver at pace and scale. The toolkit you’ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker … Foundry (full training provided). Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where data ...

models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity with CI/CD pipelines and deployment automation. ...

models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity with CI/CD pipelines and deployment automation. ...