76 to 100 of 233 Pandas Jobs in London

Requirements Essential Expert Python, with deep hands-on PyTorch experience (TensorFlow also welcome) and the surrounding ecosystem: Hugging Face Transformers, timm, scikit-learn, NumPy, pandas, OpenCV. Production experience on AWS, specifically Amazon SageMaker: training and processing jobs, pipelines, model registry, endpoints. Practical MLOps: experiment tracking and model versioning with MLflow ...

party packagesExperience leading design of large-scale, efficient and performant analytics workflows, including ETL, orchestration, and distributed compute, using industry-standard libraries such as Pandas, Polars, and Dask. Experience with both SQL and NoSQL database platforms, as well as OLAP and OLTP databasesAn understanding of data structures and common data ...

data transformation methodologiesExperience contributing to large-scale, efficient and performant analytics workflows, including ETL, orchestration, and distributed compute, using industry-standard libraries such as Pandas, Polars, and Dask. Experience working in a modern software engineering environment leveraging Agile (Scrum), DevSecOps methodologies, CI/CD workflows, and tools including ...

Excellent English and strong presentation skills Experience with Microsoft PowerPoint and Excel Preferred Qualifications Programming skills in Python including data science libraries such as pandas, numpy or plotly Work experience in: Consulting or a client-facing business Quantitative research methods (especially surveys and experiments) Media and conversation analysis Expertise ...

particularly in AWS environments, using infrastructure-as-code tools (such as Terraform, CloudFormation, or Pulumi)Experience with data manipulation and analysis tools (such as Pandas or SQL) for processing high-volume security telemetry and creating sophisticated automation triggersAdditional Preferred Qualifications: Experience with Google SecOps platform and familiarity with integrating Agentic ...

role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferredStrong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines ...

deploy Machine Learning capabilities and techniques into other systems. Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit‐learn Take pride in writing clean, reusable, maintainable and well‐tested code A desire to learn and embrace new and emerging ...

with data from multiple sources and formats. Working with cloud-based data platforms, ideally Microsoft Azure. Python: core data science libraries such as numPy, pandas/polar #J-18808-Ljbffr ...

role you should have: Proficiency in Python: Ability to write functional, reproducible, and well documented code. Proficient with typical data scientist modules (pandas, numpy, matplotlib, scikit-learn). Strong Statistical knowledge: Good understanding of fundamental statistical concepts (e.g. bias, variance, R-squared). Good understanding of the theory and practice ...

ResearchA strong background in mathematics and statisticsStrong proficiency in programming languages such as Python, with experience in libraries like numpy, pytorch, polars, pandas, and rayDemonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoringUnderstanding of and experience with modern software ...

observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch and related data science python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud providers (Azure, AWS, GCP) Ability to communicate technical ...

practices concerning code maintainability, documentation, quality assurance, continuous integration and deployment Experience supporting production systems Experience with any of the following: gRPC microservices, Postgres, Pandas, Golang, R, Git, Jenkins, Bazel, Prometheus, Grafana, Airflow, Kubernetes Equal Opportunity EmployerThe the company Group is an Equal Opportunity employer. Applicants are considered without regard ...

solid understanding of machine learning and deep learning methods Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Experience with ...

XGBoost, etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.). Strong knowledge of SQL and Python’s ecosystem for data analysis (Jupyter, Pandas, Scikit‐Learn, Matplotlib). Strong software development skills (Python is the preferred language). Strong management and leadership skills – previous experience managing a team. Strong ...

observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with PyTorch and related data science Python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud providers (Azure, AWS, GCP) Ability to communicate technical ...

exceptions. Technical/Analytical Skills Proficiency in SQL (advanced querying, reconciliation logic, data validation). Strong proficiency in Python for data analysis and automation (pandas, validation frameworks, scripting). Experience supporting or validating ETL/ELT pipelines and data quality frameworks (rules, thresholds, exception handling). Exposure to lineage ...

reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time periodExtensive experience with pytorch and related data science python libraries (e.g. pandas)Experience of containerising applications or models for deployment (Docker)Experience with one of the major public cloud providers (Azure, AWS, GCP)Ability to communicate technical ...

hands-on experience in data analysis and writing production-quality code. Extensive experience with machine learning and data analysis toolkits (e.g., NumPy, Scikit-Learn, Pandas).Ability to effectively leverage Generative AI tools to enhance productivity, analysis, and problem-solving in day-to-day work. Strong written and spoken communication skills ...

with significant industry or research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit‐Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Hands ...

Preferred qualifications Experience working with AWS and core concepts (accounts, regions, IAM, networking, compute/storage, tagging). Python for analytics/automation (e.g., pandas) and building repeatable pipelines. Experience with cloud data platforms (e.g., Snowflake/Redshift/BigQuery) and ELT tooling (e.g., dbt). J.P. Morgan ...

building production systems that deliver measurable business impact Technical Mastery: High proficiency in Python and SQL. Expert-level experience with the Python data stack (pandas, NumPy, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/LightGBM) Systemic Problem Solving: Ability to work on unique ...

Experience in travel, transport, marketplaces, or similarly complex digital platforms Our technology stack Python and associated ML/DS libraries (scikit-learn, NumPy, LightGBM, Pandas, LangChain/LangGraph, TensorFlow, etc.) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc MLOps/DevOps: Terraform, Docker, Airflow, MLFlow Monitoring and evaluation platforms including ...

8+ years (or equivalent experience) applying statistical modeling or machine learning to large-scale datasets Strong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit‐learn, PyTorch or TensorFlow) Demonstrated experience designing and analyzing controlled experiments (A/B testing, causal inference, hypothesis testing) Experience working with distributed ...

lifecycle in production Communicate insights to executive stakeholders with clarity What you bring 4+ years applied data science with production deployments Strong Python (pandas, scikit-learn, PyTorch) and SQL Solid grounding in statistics, experimentation and causal inference Experience with at least one MLOps stack (MLflow, SageMaker, Vertex) Nice to have ...

Essential Skills Strong Python development experience (FastAPI, Pydantic, SQLAlchemy, Pytest). Experience with PostgreSQL, Docker, Git/GitHub, GitHub Actions, and microservices. Knowledge of Pandas, NumPy, OpenTelemetry, and cloud-native development. Strong communication, problem-solving, and stakeholder management skills. Ability to take ownership and thrive in a fast-moving environment. ...