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 ❯
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 ❯
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 ❯
decisions in the face of many nuanced trade offs and varied opinions. Experience in a range of tools sets comparable with our own: Database technologies: SQL, Redshift, Postgres, DBT, Dask, airflow etc. AI Feature Development: LangChain, LangSmith, pandas, numpy, sci kit learn, scipy, hugging face, etc. Data visualization tools such as plotly, seaborn, streamlit etc You are Able to chart 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 ❯
