10 of 10 Remote/Hybrid Permanent Pandas Jobs

machine learning expertise with hands-on experience productionising models and building scalable ML systems. Machine Learning Engineer, key skills: Strong experience in Python (e.g. pandas, scikit-learn, NumPy, TensorFlow/PyTorch) Proven experience in model productionisation and deployment in real-world environments Hands-on experience with MLOps, including CI/ ...

platforms (e.g., Hadoop), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure). Programming Skills: Programming skills in languages like Python (NumPy, pandas, PySpark), Java (Core Spark with Java, functional interface, collections), or Scala with experience in automation and scripting. Infrastructure Tools: Experience with containerization and orchestration tools ...

emerging trends in AI, ML, and data science What you'll bring: * Solid experience in data science or advanced analytics roles * Strong Python skills (pandas, NumPy, scikit-learn) * Experience building predictive models (forecasting, clustering, regression) * Hands-on experience with LLMs, NLP, or generative AI techniques * Strong SQL skills and experience ...

explain code and talk through problem-solving Git experience Computer Science or related degree Personal projects or evidence of curiosity Nice to have: pandas experience Exposure to Azure or AWS Basic Docker or DevOps knowledge Interest in AI/ML Experience with streaming tools (Kafka, RabbitMQ) Hybrid working – 3 days ...

need to succeed: Extensive hands-on Python Development experience building REST APIs with FastAPI or similar. Strong quantitative background - must have. Strong experience with Pandas, NumPy, and/or SciPy. Good experience with time series or market data models. Experience with Docker, Kubernetes, and Cloud. What ...

data products Your Skills and Experience * Strong commercial experience in data analytics, data science, or consulting environments * Proficiency in Python, including libraries such as Pandas, NumPy and scikit learn * Strong SQL skills and experience working with structured data * Solid understanding of statistical analysis and regression techniques * Exposure to cloud platforms ...

Science delivery with measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong Python (pandas, numpy, scikit-learn or similar) Strong SQL (complex joins, aggregations, analytical functions) Solid grounding in applied statistics, evaluation design, calibration, bias/fairness Experience working ...

with common machine learning and model acceleration frameworks (e.g. PyTorch, ONNX, ONNX Runtime)* Experienced with Python data and matrix manipulation libraries (e.g. numpy and pandas),* Knowledgeable about Python memory management and optimising GPU usage (beneficial but not essential),* Experienced with Rust, specifically the ort crate (beneficial but not essential)* Interested ...

Salary negotiable DOE Full-time, Permanent At a Glance Data science role at a US FinTech scale-up doing something genuinely new Python-first (Pandas, Polars, NumPy) with GCP and LLM exposure Fully remote across Northern Ireland Salary negotiable depending on experience Real product influence - not dashboard maintenance About … analytical models Design and implement profit intelligence frameworks covering cost allocation, margin analysis, and unit economics Build data pipelines and transformation logic in Python (Pandas, Polars, NumPy) Apply LLMs to map unknown data structures to canonical models, infer relationships, and generate explainable financial insights Collaborate with engineering to productionise models ...

Salary negotiable DOE Full-time, Permanent At a Glance Data science role at a US FinTech scale-up doing something genuinely new Python-first (Pandas, Polars, NumPy) with GCP and LLM exposure Fully remote across Northern Ireland Salary negotiable depending on experience Real product influence - not dashboard maintenance About … analytical models Design and implement profit intelligence frameworks covering cost allocation, margin analysis, and unit economics Build data pipelines and transformation logic in Python (Pandas, Polars, NumPy) Apply LLMs to map unknown data structures to canonical models, infer relationships, and generate explainable financial insights Collaborate with engineering to productionise models ...