11 of 11 Pandas Jobs in Northern Ireland

Science, Statistics, Mathematics, Data Science, or a related quantitative field. Proficiency in Python, including hands-on experience with machine learning libraries and frameworks (e.g., Pandas, Pytorch, Tensorflow, HuggingFace). Demonstrated experience in data science and machine learning through projects, internships, or prior roles, with exposure to or hands on experience More ❯

What you’ll bring: Over 3 years of practical experience in data analytics and machine learning Strong Python skills, with experience using libraries like Pandas and Scikit-learn (or similar) Familiarity with data exploration tools and visualisation methods A relevant third-level qualification (e.g. Computer Science, Data Science, Software Engineering More ❯

Very strong knowledge of Python. Desirable Qualifications Knowledge of any machine learning framework (e.g. Torch, huggingface, ...) and/or data analysis platform (e.g. Pandas). Past experience with open source projects. Past experience in community engagement projects. Familiarity with Scrum/Agile software development practices. Our Offer Competitive salary More ❯

experience involving data analytics, machine learning models and AI principles and application in implementation and practical delivery. Experienced in Python development and tooling including Pandas, Scikit-learn or equivalent. A third level qualification in Computer Science, Software Engineering, Data Science or other related discipline. Experience with data exploration and visualisation. More ❯

Ecommerce is an advantage but not required ??Experience of deployment in a cloud environment ??Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas ??Experience with API development ??SQL experience ??Software engineering experience ??DevOps/MLOps experience ??Good working understanding of CI/CD If you hold the experience More ❯

experience with Oracle, SQL Server, and PostGres SQL databases. Technical Skills: Proficiency in at least 2 of the following: SQL, PSQL, C#, Python and Pandas for data manipulation and analysis. Problem Solving: Detail-oriented with exceptional problem-solving skills, capable of troubleshooting issues quickly and efficiently. Communication: Excellent ability to More ❯

of data science in finance, insurance or Ecommerce is an advantage but not required. ??Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas If you hold the experience and technical skills outlined above which would enable you to hit the ground running, please apply to find out more More ❯

metrics The Person Experience in a data/product/business analyst role (ideally in tech or SaaS) Strong SQL and Python skills (e.g. Pandas, NumPy) and confidence handling large, complex datasets Proficiency with BI tools (e.g. Tableau, Looker, Metabase) Excellent communication and data storytelling skills Comfortable working cross-functionally More ❯

following: Experience in a similar role, with a proven record of success in developing and deploying machine learning models. Strong skills in Python and Pandas, with experience in converting and optimising CPU-based models and algorithms to run efficiently on GPUs. Familiarity with Spark and/or PySpark for handling More ❯

3+ years of professional experience in machine learning engineering. 2+ years of leadership or technical mentoring experience. Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement … LIME). Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large-scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights & Biases #J-18808-Ljbffr More ❯

technologies. Responsibilities: Design, develop, and maintain Python applications, primarily focused on data manipulation and processing. Work with geospatial data using Python libraries such as Pandas and GeoPandas for advanced data analysis and transformation. Develop and maintain RESTful APIs using FastAPI to handle data processing and interaction with other services. Manage … in one or more of the following: Experience in working with geospatial data and Geographic Information Systems (GIS) . Experience using libraries such as Pandas and GeoPandas . Building APIs using FastAPI . Experience in setting up CI/CD pipelines in GitLab . Hands-on experience with Docker and More ❯