11 of 11 Permanent Dask Jobs

Docker, and Kubernetes. Strong ownership, accountability, and communication skills. Bonus Points For: Experience leading projects in SCIF environments. Expertise in Cyber Analytics, PCAP, or network monitoring. Familiarity with Spark, Dask, Snowpark, Kafka, or task schedulers like Airflow and Celery. More ❯

Nice-to-Haves: Demonstrated experience leading project development efforts from a SCIF. Familiarity with cybersecurity analytics, including PCAP, CVEs, and network monitoring. Experience integrating with technologies such as Spark, Dask, Snowpark, or Kafka. Background in web application stacks (e.g., Flask, Django) or task schedulers (e.g., Airflow, Celery, Prefect). Compensation & Benefits: Competitive salary, equity, and performance-based bonus. Full benefits More ❯

Science, Engineering, or equivalent practical experience Desirable: Experience with LLMs or transformer-based architectures (e.g., OpenAI, Mistral, or custom-trained models) Familiarity with tools such as Airflow, Spark, or Dask for large-scale data processing Awareness of AI ethics, data privacy, and legal considerations in high-stakes environments People Source Consulting Ltd is acting as an Employment Agency in relation More ❯

in data modeling, architecture, and processing unstructured data. Experience with processing 3D geometric data. Experience with large-scale, data-intensive systems in production. Knowledge of distributed computing frameworks (Spark, Dask, Ray). Experience with cloud platforms (AWS, Azure, GCP). Proficiency with Docker, Linux, and bash. Ability to document code, architectures, and experiments. Preferred Qualifications Experience with databases and data More ❯

especially GitLab CI Monitoring and telemetry tools: Prometheus, Grafana Version control with Git Preferred Qualifications: Experience debugging GPU-enabled applications Familiarity with OpenAPI, HTMX, or Hyperscript Experience with Spark, Dask, or Ray for distributed data workflows Knowledge of AI inference tools (e.g., Nvidia NIM, Triton, vLLM) Understanding of multi-GPU model training and hardware integration Experience with SQL, Elasticsearch, or More ❯

computer programming skills, with knowledge of Python, R, and Java. Experience scaling machine learning on data and compute grids. Proficiency with Kubernetes, Docker, Linux, and cloud computing. Experience with Dask, Airflow, and MLflow. MLOps, CI, Git, and Agile processes. Why you do not want to miss this career opportunity? We are a mission-driven firm that is revolutionising the Insurance More ❯

AI. - Understanding of ethical AI principles, bias mitigation techniques, and responsible AI practices. - Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks (e.g., Apache Spark, Dask). - Strong problem-solving, analytical, and critical thinking skills. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a More ❯

Join us on our mission to make a better world of work. Culture Amp is the world's leading employee experience platform, revolutionizing how 25 million employees across more than 6,500 companies create a better world of work. Culture More ❯

ability to manipulate large financial datasets and time series data and perform calculations with at least one modern programming language like Python (utilizing packages like scikit-learn, pandas, or dask), R (utilizing packages like caret, dplyr, or data.table), or other modern language. • Ability to apply, modify and formulate algorithms and processes to solve computational financial problems. • Desire and ability to More ❯

major ML conferences; Experience with one lower level language (not limited to, but such as C++, Rust); Experience with large scale data processing and database tools such as MapReduce, Dask, SQL, Hugging Face Datasets, TileDB, Ray. The salary range for Cambridge, UK: - Senior Machine Learning Engineer: £90,950 - £123,050 Staff Machine Learning Engineer: £113,900 - £154,100 Exact compensation More ❯

compute resources and the ability to interpret performance metrics (e.g., CPU, memory, threads, file handles). Knowledge and experience in distributed computing - parallel computation on a single machine like DASK, Distributed processing on Public Cloud. Knowledge of SDLC and experience in working through entire life cycle of the project from start to end ABOUT GOLDMAN SACHS At Goldman Sachs, we More ❯