1 to 25 of 30 NumPy Jobs in the North of England

team practices Mentor peers and help grow a high-trust, high-impact engineering culture Tech Stack Python 3.x with FastAPI, Pydantic, SQLAlchemy, Pandas, and NumPy Relational databases: MySQL and PostgreSQL GCP experience is a plus, but not required Modern Middleware is a plus – e.g. Pub/Sub, Memcache Docker, GitLab ...

team practices Mentor peers and help grow a high-trust, high-impact engineering culture Tech Stack Python 3.x with FastAPI, Pydantic, SQLAlchemy, Pandas, and NumPy Relational databases: MySQL and PostgreSQL GCP experience is a plus, but not required Modern Middleware is a plus – e.g. Pub/Sub, Memcache Docker, GitLab ...

team practices Mentor peers and help grow a high-trust, high-impact engineering culture Tech Stack Python 3.x with FastAPI, Pydantic, SQLAlchemy, Pandas, and NumPy Relational databases: MySQL and PostgreSQL GCP experience is a plus, but not required Modern Middleware is a plus – e.g. Pub/Sub, Memcache Docker, GitLab ...

language agnostic; there are many ways to solve the same problem. We do, however, have an emphasis on Python and Node. Backend: Python, pandas, numpy Infrastructure: AWS, Terraform Company Benefits Remote first Unlimited Paid Time Off Interview Process (1) Interview with Hiring Manager (2) Case study (3) Interview with Leadership ...

data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn and work collaboratively in a team environment Nice to Have ...

people to innovate, explore possibilities and grow with purpose. What you'll need Advanced proficiency in Python and SQL; hands‐on use of pandas, NumPy, scikit‐learn, PyTorch. Strong knowledge of supervised/unsupervised learning; experience in NLP, anomaly detection, classification. Experience across the full software development lifecycle, from experimentation ...

people to innovate, explore possibilities and grow with purpose. What you'll need Advanced proficiency in Python and SQL; hands‐on use of pandas, NumPy, scikit‐learn, PyTorch. Strong knowledge of supervised/unsupervised learning; experience in NLP, anomaly detection, classification. Experience across the full software development lifecycle, from experimentation ...

people to innovate, explore possibilities and grow with purpose. What you'll need Advanced proficiency in Python and SQL; hands‐on use of pandas, NumPy, scikit‐learn, PyTorch. Strong knowledge of supervised/unsupervised learning; experience in NLP, anomaly detection, classification. Experience across the full software development lifecycle, from experimentation ...

people to innovate, explore possibilities and grow with purpose. What you'll need Advanced proficiency in Python and SQL; hands‐on use of pandas, NumPy, scikit‐learn, PyTorch. Strong knowledge of supervised/unsupervised learning; experience in NLP, anomaly detection, classification. Experience across the full software development lifecycle, from experimentation ...

people to innovate, explore possibilities and grow with purpose. What you'll need Advanced proficiency in Python and SQL; hands‐on use of pandas, NumPy, scikit‐learn, PyTorch. Strong knowledge of supervised/unsupervised learning; experience in NLP, anomaly detection, classification. Experience across the full software development lifecycle, from experimentation ...

people to innovate, explore possibilities and grow with purpose. What you'll need Advanced proficiency in Python and SQL; hands‐on use of pandas, NumPy, scikit‐learn, PyTorch. Strong knowledge of supervised/unsupervised learning; experience in NLP, anomaly detection, classification. Experience across the full software development lifecycle, from experimentation ...

people to innovate, explore possibilities and grow with purpose. What you'll need Advanced proficiency in Python and SQL; hands‐on use of pandas, NumPy, scikit‐learn, PyTorch. Strong knowledge of supervised/unsupervised learning; experience in NLP, anomaly detection, classification. Experience across the full software development lifecycle, from experimentation ...

reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference ...

reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference ...

reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference ...

reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference ...

reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference ...

reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference ...

reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference ...

reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference ...

looking for a talented ML Ops Engineer to join our growing teams. Key Responsibilities Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools ...

engineering standards, architect packages, and own architectural and procedural choices for effective shared codebases within Foundry. Knowledge of Python and scientific computing packages (PyTorch, NumPy, Scikit-learn, TensorFlow). Experience with data modeling and pipeline development in Palantir Foundry. Experience with frontend development for intuitive user experience. Practical understanding ...

tier rankings). Strong experience in data science, analytics, or ML-driven research. Proficiency in Python and key libraries such as Pandas, NumPy, Polars, and scikit-learn. Solid knowledge of experiment design, causal inference, and statistical modeling. Familiarity with SQL, distributed data systems, and experiment tracking tools. Excellent communication ...

tier rankings). Strong experience in data science, analytics, or ML-driven research. Proficiency in Python and key libraries such as Pandas, NumPy, Polars, and scikit-learn. Solid knowledge of experiment design, causal inference, and statistical modeling. Familiarity with SQL, distributed data systems, and experiment tracking tools. Excellent communication ...

tier rankings). Strong experience in data science, analytics, or ML-driven research. Proficiency in Python and key libraries such as Pandas, NumPy, Polars, and scikit-learn. Solid knowledge of experiment design, causal inference, and statistical modeling. Familiarity with SQL, distributed data systems, and experiment tracking tools. Excellent communication ...