126 to 150 of 182 Pandas Jobs in the South East

part in design and architecture discussions. About you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools like Weights & Biases or MLflow is a plus. Curious, proactive, and confident working independently. Ideally based More ❯

development of AI/ML proof-of-concepts and evaluate their business value 🧠 What You will Bring Extensive experience with Python and data science Python packages (e.g. scikit-learn, pandas, numpy, etc). (LEAD) Understanding of data science concepts, AI/ML models, evaluation approaches, and data science applications to enhance business processes. (LEAD) Proven hands-on experience in Microsoft More ❯

development of AI/ML proof-of-concepts and evaluate their business value 🧠 What You will Bring Extensive experience with Python and data science Python packages (e.g. scikit-learn, pandas, numpy, etc). (LEAD) Understanding of data science concepts, AI/ML models, evaluation approaches, and data science applications to enhance business processes. (LEAD) Proven hands-on experience in Microsoft More ❯

development of AI/ML proof-of-concepts and evaluate their business value 🧠 What You will Bring Extensive experience with Python and data science Python packages (e.g. scikit-learn, pandas, numpy, etc). (LEAD) Understanding of data science concepts, AI/ML models, evaluation approaches, and data science applications to enhance business processes. (LEAD) Proven hands-on experience in Microsoft More ❯

of-concepts and assist the business with evaluations to measure success and estimate value proposition. Essential Criteria: * Extensive experience with Python and data science Python packages (e.g. scikit-learn, pandas, numpy, etc) * Understanding of data science concepts, AI/ML models, evaluation approaches, and data science applications to enhance business processes * Proven hands-on experience in Microsoft Azure ML Studio More ❯

AI applications, and mentoring a team of talented data scientists. What You’ll Bring 🔥 Deep expertise in machine learning and statistical modelling ⚙️ Skilled with core data science tools (NumPy, Pandas, Scikit-Learn) and deep learning frameworks (PyTorch, TensorFlow) 💡 Proven track record delivering impactful AI/ML projects (e.g. forecasting, recommendation systems, or optimisation) 📈 Experienced project lead with strong technical decision More ❯

experience as a Data Scientist , ideally in a government or large-scale enterprise environment. Strong Python programming skills, including experience with data science and AI/ML frameworks (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow). Experience developing and fine-tuning LLMs and working with generative AI tools. Hands-on experience with Microsoft Azure (Azure ML, Databricks, or other AI More ❯

AI applications, and mentoring a team of talented data scientists. What You’ll Bring 🔥 Deep expertise in machine learning and statistical modelling ⚙️ Skilled with core data science tools (NumPy, Pandas, Scikit-Learn) and deep learning frameworks (PyTorch, TensorFlow) 💡 Proven track record delivering impactful AI/ML projects (e.g. forecasting, recommendation systems, or optimisation) 📈 Experienced project lead with strong technical decision More ❯

AI applications, and mentoring a team of talented data scientists. What You’ll Bring 🔥 Deep expertise in machine learning and statistical modelling ⚙️ Skilled with core data science tools (NumPy, Pandas, Scikit-Learn) and deep learning frameworks (PyTorch, TensorFlow) 💡 Proven track record delivering impactful AI/ML projects (e.g. forecasting, recommendation systems, or optimisation) 📈 Experienced project lead with strong technical decision More ❯

Participate in system release cycles, post-trade analysis, and incident reviews to drive continuous improvement and operational resilience. Required Skills & Experience Strong Python skills, including scripting and data analysis (Pandas, NumPy). Advanced SQL experience (PostgreSQL or similar) working with large, real-time datasets. Proven Linux system administration experience, including shell scripting, process monitoring, and performance optimization in low-latency More ❯

Participate in system release cycles, post-trade analysis, and incident reviews to drive continuous improvement and operational resilience. Required Skills & Experience Strong Python skills, including scripting and data analysis (Pandas, NumPy). Advanced SQL experience (PostgreSQL or similar) working with large, real-time datasets. Proven Linux system administration experience, including shell scripting, process monitoring, and performance optimization in low-latency More ❯

Participate in system release cycles, post-trade analysis, and incident reviews to drive continuous improvement and operational resilience. Required Skills & Experience Strong Python skills, including scripting and data analysis (Pandas, NumPy). Advanced SQL experience (PostgreSQL or similar) working with large, real-time datasets. Proven Linux system administration experience, including shell scripting, process monitoring, and performance optimization in low-latency More ❯

experience. Skills & Experience: Strong hands-on experience deploying ML models in production environments. Excellent programming skills in Python and familiarity with ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Pandas). Practical experience with RAG or agentic AI frameworks (LangChain, LlamaIndex). Experience working with LLM APIs (e.g. Hugging Face, OpenAI). Exposure to conversational AI platforms (Dialogflow, Lex, Rasa More ❯

experience. Skills & Experience: Strong hands-on experience deploying ML models in production environments. Excellent programming skills in Python and familiarity with ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Pandas). Practical experience with RAG or agentic AI frameworks (LangChain, LlamaIndex). Experience working with LLM APIs (e.g. Hugging Face, OpenAI). Exposure to conversational AI platforms (Dialogflow, Lex, Rasa More ❯

experience. Skills & Experience: Strong hands-on experience deploying ML models in production environments. Excellent programming skills in Python and familiarity with ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Pandas). Practical experience with RAG or agentic AI frameworks (LangChain, LlamaIndex). Experience working with LLM APIs (e.g. Hugging Face, OpenAI). Exposure to conversational AI platforms (Dialogflow, Lex, Rasa More ❯

in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. Solid understanding of data More ❯

in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. Solid understanding of data More ❯

Experience: Proven experience working as a Data Scientist or Machine Learning Engineer in a commercial setting. Strong programming skills in Python, with hands-on experience using libraries such as Pandas, Scikit-Learn, Jupyter, and Matplotlib. Proficient in SQL for data extraction and transformation. Experience with Google Cloud Platform (GCP) and Vertex AI for developing and deploying ML services is highly More ❯

delivering impactful quantitative models. Deep understanding of mathematical and statistical modelling, including complex probability distributions and stochastic methods. Highly proficient in Python for modelling, data manipulation, and analysis (NumPy, pandas, SciPy, scikit-learn, etc.). Preferred Qualifications Advanced degree (MSc or PhD) in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Engineering. Experience in sports modelling, market More ❯

and automation into data workflows, unlocking even more potential from their datasets. Skills & Experience Strong Python experience Experience with a web framework – Flask, FastAPI, Django, etc. Solid understanding of Pandas/NumPy for data manipulation SQL Server experience Experience building or maintaining web scraping tools to collect and structure data from online sources Who this role is great for Early More ❯

delivering impactful quantitative models. Deep understanding of mathematical and statistical modelling, including complex probability distributions and stochastic methods. Highly proficient in Python for modelling, data manipulation, and analysis (NumPy, pandas, SciPy, scikit-learn, etc.). Preferred Qualifications Advanced degree (MSc or PhD) in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Engineering. Experience in sports modelling, market More ❯

delivering impactful quantitative models. Deep understanding of mathematical and statistical modelling, including complex probability distributions and stochastic methods. Highly proficient in Python for modelling, data manipulation, and analysis (NumPy, pandas, SciPy, scikit-learn, etc.). Preferred Qualifications Advanced degree (MSc or PhD) in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Engineering. Experience in sports modelling, market More ❯

and automation into data workflows, unlocking even more potential from their datasets. Skills & Experience Strong Python experience Experience with a web framework – Flask, FastAPI, Django, etc. Solid understanding of Pandas/NumPy for data manipulation SQL Server experience Experience building or maintaining web scraping tools to collect and structure data from online sources Who this role is great for Early More ❯

and AI engineering. Proven track record of delivering AI software and deploying solutions in production. Strong proficiency in Python and libraries such as PyTorch, TensorFlow, Scikit-Learn, Keras, Numpy, Pandas, Langchain, Pinecone, and more. Experience with cloud platforms and compute systems for model training and deployment. Excellent communication and strategic thinking skills. Preferred Experience: Familiarity with industrial domains such as More ❯

and AI engineering. Proven track record of delivering AI software and deploying solutions in production. Strong proficiency in Python and libraries such as PyTorch, TensorFlow, Scikit-Learn, Keras, Numpy, Pandas, Langchain, Pinecone, and more. Experience with cloud platforms and compute systems for model training and deployment. Excellent communication and strategic thinking skills. Preferred Experience: Familiarity with industrial domains such as More ❯