Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
Net Talent
or a related field, with a focus on building scalable data systems and platforms. Strong expertise with modern data tools and frameworks such as Spark , dbt , Airflow , Kafka , Databricks , and cloud-native services (AWS, GCP, or Azure). Deep understanding of data modeling , distributed systems , streaming architectures , and ETL More ❯
Intelligence platform, either on Azure or AWS. Good working knowledge of Databricks components: DeltaLake, Unity Catalog, ML Flow, etc. Expertise in SQL, Python and Spark (Scala or Python). Experience working with relational SQL databases either on premises or in the cloud. Experience delivering multiple solutions using key techniques More ❯
to our product experience. You'll typically be working in Java or Python, and with a technology stack that includes AWS, Kinesis, S3, Kubernetes, Spark, Airflow, gRPC, New Relic, Databricks, and more. This role requires expertise in distributed systems, microservices, and data pipelines, combined with a strong focus on More ❯
edinburgh, central scotland, United Kingdom Hybrid / WFH Options
Peaple Talent
Azure or AWS Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as ApacheSpark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What More ❯
like TensorFlow, Keras, or PyTorch. Knowledge of data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib). Familiarity with big data technologies (e.g., Hadoop, Spark). Excellent problem-solving skills and attention to detail. Ability to work independently and as part of a team. Preferred Qualifications: Experience with natural More ❯
skills. Experience working with real-world data sets and building scalable models from big data. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow. Experience with large-scale distributed systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you More ❯
machine learning systems such as profiling and debugging and understanding of system performance and scalability Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. PREFERRED QUALIFICATIONS Experience with popular deep learning frameworks such as MxNet and Tensor Flow. PhD Amazon is an More ❯
Python or related language Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. PhD Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a More ❯
City, Edinburgh, United Kingdom Hybrid / WFH Options
ENGINEERINGUK
years in software engineering, with 3+ years in API-backed ML deployment. Strong programming language skills in Python. Significant experience with SQL (e.g., RDBMS, Spark, Presto, or BigQuery). Experience with machine learning, optimization, and data manipulation tools (e.g., scikit-learn, XGBoost, cvxpy, Pandas, Spark, or PyTorch). More ❯
neural deep learning methods and machine learning - Experience with prompting techniques for LLMs PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - PhD in math/statistics/ More ❯