data engineering principles and advanced analytics techniques. Proficiency in programming languages (Python, R, SQL). Experience with data manipulation and analysis tools (Pandas, NumPy, Dask). Strong leadership and communication skills. Ability to lead cross-functional teams and manage stakeholder expectations. Attention to detail and ability to follow defined processes More ❯
use of development environments such as PyCharm, VS Code, and Jupyter Notebooks. It includes expertise in data manipulation using tools like Pandas, NumPy, and Dask, and data visualization with Matplotlib, Seaborn, and Plotly. Scripting abilities in shell scripting, along with experience in managing databases like SQL, MongoDB, Cassandra, PostgreSQL, and More ❯
etc) Nice to Have A ComSci degree from a top rated uni Experience in a fast-paced startup environment Task orchestration frameworks (e.g. Luigi, Dask, Airflow + Celery etc) Experience owning or being involved longer-term in an open-source project Demonstrable Rust experience or keen interest Data pipelines and More ❯
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 More ❯
Airflow Willingness to work with proprietary technologies like Slang/SECDB Understanding of compute resources and performance metrics Knowledge of distributed computing frameworks like DASK and cloud processing Experience managing projects through entire SDLC About Goldman Sachs Goldman Sachs is a leading global investment banking, securities, and investment management firm More ❯
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 the entire life cycle of the project from start to end. ABOUT More ❯
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 More ❯
Staines-upon-Thames, England, United Kingdom Hybrid / WFH Options
IFS
Company Description IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters More ❯