51 to 75 of 116 Apache Spark Jobs in the UK

inputs/outputs, and adherence to resiliency and security expectations Preferred qualifications, capabilities, and skills Experience with data lakehouse architectures using Delta Lake, Apache Spark, or similar open-source frameworks Familiarity with AWS-native data services such as Glue, Lake Formation, Redshift, or Athena Exposure to data governance ...

technical teams in data engineering, data platforms, software engineering, or AI/ML.Technical Depth: Strong technical background capable of evaluating architectures spanning distributed computing (Apache Spark), Python/Scala, modern cloud ecosystems (AWS, Azure, GCP), CI/CD, and MLOps/GenAI frameworks. Leadership Skills: Proven ability ...

time ML & reproducibility: A strong grasp of production inference patterns and reproducible environments (Docker, MLflow or equivalent). Cloud & tooling: AWS, plus SageMaker, Snowflake, Spark/Databricks and Kubernetes. Engineering mindset: A focus on reliability, maintainability and continuous improvement. ...

into robust approaches and measurable outcomes. Strong practical capability in Python and SQL across data exploration, feature engineering, modelling and validation, with experience of Spark and modern cloud data platforms. Expertise in statistical analysis, forecasting, predictive modelling, classification, clustering and optimisation, including developing and deploying production machine-learning solutions. ...

/GraphQL) Machine Learning: Foundations of MLflow, Weights & Biases, LoRA, PEFT, SageMaker, Vertex AI, AzureML, Kubeflow, Airflow, Prefect, TorchServe, Triton, vLLM, SHAP, LIME, pandas, Spark, SQLLLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management Performance & observability: Skilled in debugging distributed systems, tuning for latency ...

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 Experience working in regulated industries (finance, healthcare, or similar) Security Clearance ...

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 Experience working in regulated industries (finance, healthcare, or similar) Security Clearance ...

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 Experience working in regulated industries (finance, healthcare, or similar) Security Clearance ...

data extraction, transformation, and pipeline development Experience with dashboarding and visualization tools (Tableau, Qlik, or similar) Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes Experience with Python or R for advanced analytics, automation, or experimentation support preferred Knowledge of statistical methods and experimentation (A/ ...

about you: Strong Python knowledge. Ability to read through code. Demonstrable experience collaborating with engineers. Experience with big data technologies such as Hadoop, Spark, or similar. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions. Strong knowledge in at least a few of the following areas ...

model validation. Experiment tracking and reproducibility tools, for example MLflow, Weights & Biases or equivalent. Data wrangling and analysis using Pandas, NumPy, SQL; familiarity with Spark or similar is a plus. Model optimisation and research-to-prototype deployment fundamentals, including ONNX, TorchScript, FastAPI/gRPC and GPU acceleration, with CUDA ...

robust data models, ETL pipelines, metadata frameworks, and modern data warehousing solutions. Design and optimise large-scale streaming data platforms using technologies such as Apache Flink and other real-time processing frameworks. Ensure all solutions comply with industry best practices, governance frameworks, and regulatory requirements, maintaining the highest standards … Lambda, Redshift , and related data services. Proven experience designing secure architectures within sensitive or highly regulated environments. Hands-on experience with Apache Flink and real-time data processing architectures. Strong understanding of data modelling methodologies, architectural patterns, and industry standards. Expertise across ETL processes, data integration, data warehousing, distributed ...

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 ...

senior stakeholders and contribute to business development initiatives. Provide thought leadership through industry engagement and innovation. Requirements Strong Python, SQL, Pandas, Scikit-Learn and Spark experience. Experience delivering real-world AI and machine learning systems. Understanding of statistics and machine learning methodologies. Experience with cloud platforms and large-scale ...

with experience shaping technical direction across teams and stakeholders Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats, as well ...

seasonality analysis) Solid foundation in statistical modelling and machine learning theory Proficiency in Python and experience working with large, complex datasets using SQL and Spark Ability to manage multiple priorities across a portfolio of projects Experience engaging both technical and business stakeholders Experience with libraries such as SciPy, Scikit ...

large language model (LLM) systems, including retrieval augmented generation (RAG) and fine-tuning. Build scalable ETL/ELT pipelines using tools such as Spark or dbt, so data is high quality, time-stamped, and ready for both training and real-time inference. Design and deploy data collection systems ...

Event Hubs on Azure, or BigQuery, Dataflow and Pub/Sub on GCP Databricks and Snowflake running on top of any of the three Spark and distributed processing frameworks for large-scale data Streaming technologies such as Kafka or the native cloud equivalents You’re expected to pick ...

Event Hubs on Azure, or BigQuery, Dataflow and Pub/Sub on GCP Databricks and Snowflake running on top of any of the three Spark and distributed processing frameworks for large-scale data Streaming technologies such as Kafka or the native cloud equivalents You’re expected to pick ...

large language model (LLM) systems, including retrieval-augmented generation (RAG) and fine-tuning. Build scalable ETL/ELT pipelines using tools such as Spark or dbt, ensuring data is high quality, time-stamped and ready for both training and real-time inference. Design and deploy data collection systems ...

pipelines to collect, transform and deliver datasets for analytical decision making • Work with cloud platforms, big data technologies, and modern programming languages (Python, SQL, Spark etc) to solve complex data challenges • Support data modelling, database design and integrated data sources • Apply data quality, governance and security controls in line ...

. Experience with Natural Language Processing (NLP), Large Language Models (LLMs) or Image Processing. Experience in areas of model development, data processing and streaming (Spark, Kafka), microservices in python (Flask or FastAPI), and interactive visualisations and User Interfaces (Streamlit, Plotly, Gradio etc). While we think the above experience ...

Familiarity with monitoring tools such as CloudWatch, Prometheus or Grafana. Useful additional experience Relevant AWS certifications. Exposure to data-processing environments using Databricks or Apache Spark. The person we are looking for You enjoy making systems easier to run and reducing the need for manual intervention. You investigate problems ...

management and international regulatory compliance. YOUR SKILLS AND EXPERIENCE ESSENTIAL CRITERIA Strong experience designing, building and maintaining scalable data pipelines and integration solutions using Apache Airflow (or similar orchestration platforms), Python, SQL and bash/linux. Experience developing cloud-native data platforms and solutions on AWS, including working with … platforms such as Amazon Bedrock. Experience developing data-based apps in Streamlit/Shiny Skills in 'Big Data' technology tools like Hadoop/Spark Knowledge of Infrastructure as Code tools like CloudFormation/Terraform If you can bring some of these skills and experiences, along with transferable strengths ...