101 to 125 of 299 NumPy Jobs in England

between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem-solving. Technical Expertise & Tools : Python: Advanced, production-grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code. SQL: Expert querying, database design, partitioning, and optimization strategies for large ...

between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem-solving. Technical Expertise & Tools : Python: Advanced, production-grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code. SQL: Expert querying, database design, partitioning, and optimization strategies for large ...

production. You write production-grade code, not just notebooks.Strong Python and SQL (we use Snowflake). Comfortable with the scientific Python stack: Polars, Pandas, NumPy, SciPy, and scikit-learn. Experience developing and evaluating ML models on tabular data classification or regression tasks where evaluation matters as much as model choice. ...

write production-grade code, not just notebooks. Strong Python and SQL (we use Snowflake). Comfortable with the scientific Python stack: Polars, Pandas, NumPy, SciPy, and scikit-learn. Experience developing and evaluating ML models on tabular data classification or regression tasks where evaluation matters as much as model choice. Think ...

protocols.Experience building distributed systems with message buses (Kafka, ZeroMQ) and asynchronous I/O (e.g. tokio)Knowledge of statistical/ML libraries and tooling (NumPy, pandas, scikit‐learn, PyTorch); experience shipping inference in production.Experience with cloud or on‐prem orchestration and scheduling (Kubernetes, Ray, HTCondor, SLURM).BenefitsTower’s headquarters ...

review as standard practice Models you've personally taken into production and supported in life Machine learning across the usual toolkit: scikit-learn, pandas, NumPy, statsmodels or similar MLOps and CI/CD in practice. Pipeline orchestration, model versioning, automated deployment, monitoring and retraining Cloud based ML delivery, ideally Azure ...

Your Skills and Experience Strong commercial experience developing machine learning solutions in Python Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow Experience building and deploying containerised services and APIs Working knowledge of SQL and data driven ...

design and software engineering fundamentals: version control, code review, automated testing, dependency and environment management. Machine learning across the standard toolkit (scikit learn, pandas, NumPy, statsmodels or equivalents), with sound judgement about model selection, validation and the limits of what the data supports. MLOps and CI/CD in practice ...

engineering skills, with a track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience building and operating backend systems and data pipelines ...

memory management, and interoperability protocols such as MCP Experience with machine learning frameworks and data science packages such as PyTorch, TensorFlow, scikit‐learn, NumPy, pandas, SciPy, and statsmodels Experience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model and machine learning workloads with ...

cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps. Experience with data science Python libraries such as Scikit-learn, Pandas, NumPy, Pytorch etc. Comfortable working with Docker and containerised applications Experience using AWS or similar cloud computing platform Experience delivering machine learning solutions within regulated environments ...

training of AI/ML solutionsSkills required: • Overall 8+ years of experience.• 5+ Years of strong Python coding skills and python libraries (like NumPy, Pandas etc.)• 3 Years of solid understanding of generative AI models (GANs, VAEs, LLMs) and their underlying principles• Strong experience in using Neo4J, Mongo DB• Experience ...

between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem‐solving. **Technical Expertise & Tools**: Python: Advanced, production‐grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code. SQL: Expert querying, database design, partitioning, and optimization strategies for large ...

/or sequential modelingExcellent communication skills with the ability to communicate concepts clearly and preciselyExperience writing software using: i) Python for data science (numpy, scipy, scikit, pandas; ii) databases; and iii) cloud platform services (AWS, GCP, Azure)NICE TO HAVESExperience as a Data Architect or Senior ManagerProven track record ...

sequential modeling Excellent communication skills with the ability to communicate concepts clearly and precisely Experience writing software using: i) Python for data science (numpy, scipy, scikit, pandas; ii) databases; and iii) cloud platform services (AWS, GCP, Azure) NICE TO HAVES Experience as a Data Architect or Senior Manager Proven track ...

memory management, and interoperability protocols such as MCP Experience with machine learning frameworks and data science packages such as PyTorch, TensorFlow, scikit-learn, NumPy, pandas, SciPy, and statsmodels Experience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model and machine learning workloads with ...

context and memory management, and interoperability protocols such as MCPExperience with machine learning frameworks and data science packages such as PyTorch, TensorFlow, scikit-learn, NumPy, pandas, SciPy, and statsmodelsExperience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model and machine learning workloads with ...

architecture deployed at scale on Kubernetes. The rest of the tech stack includes Django REST Framework, FastAPI, PostgreSQL, AWS, React.js, Docker, Redis, Celery, Pandas, NumPy, Git, Jenkins, and Elasticsearch. We put significant emphasis on design patterns, code readability, automated testing, maintainability, and extensibility. As Software Architect ...

tech stack include Django Erlang REST Framework, PostgreSQL, PostGIS, AWS, ES6, React.js, Alt.js, Node.js, Express, Amazon Redshift, Kubernetes, Docker, Redis, Celery, Pandas, Numpy, Scrapy, Git with Zenhub, Jenkins, Elasticsearch, Logstash and lots of raw SQL for analytics.Python Developers Must Ideally Have: Computer Science or Engineering degree. Previous commercial experience ...

tech stack include Django Erlang REST Framework, PostgreSQL, PostGIS, AWS, ES6, React.js, Alt.js, Node.js, Express, Amazon Redshift, Kubernetes, Docker, Redis, Celery, Pandas, Numpy, Scrapy, Git with Zenhub, Jenkins, Elasticsearch, Logstash and lots of raw SQL for analytics.Python Developers Must Ideally Have: Computer Science or Engineering degree. Previous commercial experience ...

technical stakeholders. Best practice: Contribute to how the wider data science function approaches tooling, methodology, and model governance. Technical Environment Languages/Tools: Python (NumPy, Pandas, Scikit learn), deep learning frameworks (PyTorch/TensorFlow), SQL. MLOps: MLflow, cloud ML platforms (Azure ML, AWS SageMaker, or Databricks). Focus areas: Predictive ...

emerging AI technologies and identify opportunities to improve business efficiency through intelligent automation.Skills & ExperienceStrong Python programming skills with experience using libraries such as Pandas, NumPy, Scikit-learn, XGBoost or LightGBM, and Plotly, Rust, Typescript, Python or Matplotlib.Experience developing machine learning models for prediction, optimisation or classification.Strong SQL skills and experience ...

technologies and identify opportunities to improve business efficiency through intelligent automation. Skills & Experience Strong Python programming skills with experience using libraries such as Pandas, NumPy, Scikit-learn, XGBoost or LightGBM, and Plotly, Rust, Typescript, Python or Matplotlib. Experience developing machine learning models for prediction, optimisation or classification. Strong SQL skills ...

problems. Experience in managing data and implementing data science processes. Experience in translating customer requirements intotechnical requirements and development objectives. Pythonexpertisecovering standard data sciencelibraries (NumPy, pandas, matplotlib, Scikit-learn,PyTorch, etc),web frameworks (Flask or FastAPI) and visualisation(Dash,Plotly,&Streamlit). Proficient inSQL. Working with unstructured data Building customer ...

degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline.Strong proficiency in Python or R, including libraries such as pandas, scikit‐learn, NumPy, TensorFlow, or PyTorch.Solid understanding of statistical analysis, hypothesis testing, and experimental design.Hands‐on experience applying a range of supervised and unsupervised machine learning techniques (e.g. ...