7 of 7 Apache Spark Jobs in the North West

Know Salary: Up to £80,000 per annum. Team: Work with cross‐functional teams and mentor junior engineers. Tools: Microsoft Fabric, Azure ML, MLflow, Spark, Python, SQL, CI/CD, and ML frameworks like TensorFlow, PyTorch, Scikit‐learn. Scope: End‐to‐end AI/ML solutions for multi‐product …/ML. Familiarity with Microsoft Fabric (Data Engineering, Data Science, Real‐Time Analytics) and Azure ML, including MLflow. Proficiency with tools such as Apache Spark, Azure Data Factory, GIT, Python and SQL. Skilled in developing, training and deploying machine learning models with frameworks like TensorFlow, PyTorch or Scikit ...

teams to drive outcomes Core skills (indicative) Production pipeline design and deployment experience Strong engineering capability with Python, SQL, plus big data tooling (e.g., Spark, and Java/Scala where relevant AWS, Azure, GCP Working pattern Hybrid working, with the team on client site or in the office ...

lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands‐on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long‐tenured individual contributors while providing ...

scale. The position sits in a team delivering high-impact ML across marketing and advertising, working on both real-time and batch workloads with Spark, Python, Java, and #J-18808-Ljbffr ...

from ingestion and streaming through to warehousing, serving, and cost optimisation You have deep experience with streaming architectures – Kinesis, Kafka/MSK, Flink, or Spark Streaming – and know when each is the right choice You can model the cost implications of architecture decisions and advise clients on trade‐offs … between throughput, latency, durability, and spend AWS certification at professional or specialty level is strongly preferred Mastery of Python, SQL, and Spark – and strong opinions on how they should be used in production data pipelines Deep experience with dbt, Airflow, or equivalent orchestration – including how to build pipelines that ...

business use cases and/or to improve product/system performance, quality and accuracy. Near Real-Time and Batch Inferencing: Use infrastructure like Spark and Ray to stand up inferencing services that integrate with operational/analytics workloads. ML Infrastructure: Help build a first-class machine learning platform … learning on real recommendations use cases (brownie points for productionised sequential learning use cases!). Experience with ML/distributed ML frameworks like Ray, Spark-MLlib, TensorFlow etc. Experience with real-time scoring/evaluation of models with low latency constraints. Great coding skills and strong software development experience ...

business use cases and/or to improve product/system performance, quality and accuracy. Near Real‐Time and Batch Inferencing: Use infrastructure like Spark and Ray to stand up inferencing services that integrate with operational/analytics workloads. ML Infrastructure: Help build a first‐class machine learning platform … learning on real recommendations use cases (brownie points for productionised sequential learning use cases). Experience with ML/distributed ML frameworks like Ray, Spark‐MLlib, TensorFlow etc. Experience with real‐time scoring/evaluation of models with low latency constraints. Great coding skills and strong software development experience ...