126 to 150 of 369 Pandas Jobs in the UK

life 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 ...

data pre- and post-processing, sampling and curation, ablation studies, evaluation Experience writing software using: i) Python for data science (numpy, scipy, scikit, pandas; ii) database; and iii) cloud platform services (AWS, GCP, Azure) NICE TO HAVES 5+ years experience in data science or related areas 2+ years tech lead ...

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 ...

such as: data pre- and post-processing, sampling and curation, ablation studies, evaluationExperience writing software using: i) Python for data science (numpy, scipy, scikit, pandas; ii) database; and iii) cloud platform services (AWS, GCP, Azure)NICE TO HAVES5+ years experience in data science or related areas2+ years tech lead ...

classical ML approaches, experimental design, and emerging AI/ML methodologies. Expert‐level Python proficiency with extensive experience using scientific and ML libraries (e.g., pandas, scikit‐learn, statsmodels, PyTorch/TensorFlow). Extensive hands‐on experience with large‐scale analytical data warehouses (BigQuery or equivalent). Experience defining modeling strategies ...

Language Processing (NLP), or related field.- Experience with Large Language Models, NLP, or Machine Learning.- Experience with Python libraries for data analysis such as pandas and scikit-learn.- Familiarity with AI coding assistants. Preferred qualification - PhD in Applied Linguistics, Computational Linguistics, Natural Language Processing (NLP), or related technical field.- Experience ...

Extensive experience with traditional ML algorithms, Deep Learning frameworks, and complex time-series forecasting. Experience developing production-grade Python code: High proficiency in Python, Pandas, and modern software practices (testing, clean code, code review, CI/CD). Data & Pipeline Expertise: Hands-on experience optimizing data models and access patterns ...

area such as predictive modelling, classification, regression, optimisation or recommendation systems Strong proficiency in Python and open-source data libraries such as Pandas, NumPy and Scikit-learn A solid grounding in statistical methodologies, along with data extraction, manipulation and feature engineering techniques Experience with Spark, agile delivery methods ...

Master's degree in data science, statistics, mathematics, computer science, economics, engineering or a closely related quantitative discipline. Strong Python and SQL fundamentals, including pandas or comparable data‐analysis tools and the ability to work with relational data. Sound grasp of descriptive statistics, exploratory analysis, data visualisation, hypothesis testing ...

making Quantitative & Analytical Econometric analysis, statistical modeling, demand/supply forecasting, scenario analysis, backtesting, and supply/demand balance modeling Programming & Data Tools Python (pandas, NumPy), SQL, VBA, Advanced Excel, API integration, Power Query; familiarity with R, MATLAB, or C++ a plus Visualization & Dashboarding Power BI, Tableau, or similar tools ...

Months Contract (Extendable)****JOB DETAILS:** **Technical Skills/Competencies:****Python:** Design, develop, and maintain Python scripts for data processing and transformation. Work extensively with Pandas and NumPy for data analysis and manipulation. Work experience in file processing libraries and other python libraries. Work extensively with testing frameworks (unittest/pytest ...

batch and online) Solid understanding of statistical methods, including GLMs and modern ML techniques Proven ability to build and deploy production-quality Python applications (pandas, scikit-learn) Experience with DevOps and ML tooling, including Kubernetes, Docker, CI/CD, and git-based workflows Familiarity with cloud platforms (AWS) and cloud ...

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 If you meet all of the criteria as set out above, please send me a targeted ...

rest of the 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. ...

looking for 2–3+ years' commercial Data Science experience Strong statistical fundamentals across regression, classification, clustering, time series and experimental design Strong Python, including pandas, NumPy and scikit-learn Experience of taking models beyond the notebook and into production Understanding of MLOps, CI/CD and model deployment, or experience ...

Python for automation, parsing, rules engines, and data quality checks, ability to write maintainable code. Experience using Python packages for data wrangling (e.g. Pandas, Polars), modelling (e.g. scikit-learn) and visualization (e.g. matplotlib) Experience with modern data tooling (for example, Spark, Azure Data Factory) or ability to implement equivalents with ...

Pulumi Proficiency with AWS and container technologies such as Docker and Kubernetes Solid Python skills and familiarity with ML libraries and tooling (e.g., MLflow, pandas, scikit-learn) A track record of owning and operating complex systems at scale Strong communication skills with the ability to produce clear, technical documentationExperience working ...

applied across domains such as NLP, computer vision, audio, graphs, time-series or tabular data Strong Python skills and experience with common libraries (e.g. pandas, NumPy, scikit-learn, PyTorch, Transformers, statsmodels, PyMC) Understanding of software engineering and ML best practices, including version control, packaging and model deployment Experience training ...

awareness is a plus). Proficiency in SQL (advanced querying, performance tuning, reconciliation logic). 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). Working knowledge of scheduling ...

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 ...

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 ...

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 ...

frameworks, and deployment pipelines Solid foundations and understanding of production‐grade, cloud‐native platform and infrastructure requirements, design, and implementation. Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM‐based systems Ability to work with ambiguity and optimise non‐deterministic systems through a process of experimentation ...

equivalent industry experience. Strong proficiency in relevant programming languages (Python – essential; C++ – preferred; SQL – exposure), tools and technologies (Pytorch or Tensorflow – essential; Opencv, Scipy, Pandas, or equivalent libraries for image processing and data science - essential; MS Azure Synapse – exposure) used in the development of machine learning, image analysis and software ...

Forest, 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) Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow Strong management ...