51 to 67 of 67 Pandas Jobs in the UK

experiments for LLM fine-tuning, retrieval-augmented generation (RAG), and multi-agent AI workflows . Deliver production-grade Python code using advanced data science, ML, and analytics libraries (eg, Pandas, NumPy, Scikit-learn, PyTorch, Hugging Face Transformers, Pydantic ). Document and communicate AI designs, decisions, and experiment outcomes to both technical and non-technical stakeholders. Lead the design and deployment More ❯

Intel AI tools an advantage. Digital Support/IT Support: Windows/macOS, O365/M365, ticketing, troubleshooting, networking basics, hardware/peripherals, customer service. Data: Excel, SQL, Python (Pandas), data cleaning, visualisation, basic analytics; Power BI/Tableau a plus. Confident online facilitator with excellent communication and pacing; able to engage beginners and upskill returners. Prior teaching/training More ❯

Data Scientist, your background will include: 3+ years industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g. More ❯

degree in a quantitative discipline (computer science, maths, engineering), with an expected graduation date of Spring 2027 or later Strong proficiency in SQL and Python (with an emphasis on Pandas, PySpark, etc.) Excel skills and visualisation skills are preferred Excellent attention to detail, organisation, and project management skills Strong verbal and written communication skills Commitment to the highest ethical standards More ❯

relevant field. Knowledge and experience of PowerBI, SQL and Python. Experience with Power Apps, Power Automate and Microsoft Azure would be desirable. Experience with data processing libraries such as Pandas and PySpark would be a plus. Experience acquiring structured, semi- structured and unstructured data from various sources, including databases, blob storage and API's. Experience in both producing datasets and More ❯

an umbrella company for the duration of the contract. You must have several years of experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc. You will also have a number of years hands-on experience with cloud services, especially Databricks, for building and managing scalable data pipelines. ETL process expertise is More ❯

management initiatives to support adoption of data-driven solutions. Essential Skills & Experience Background in Data Science with experience in project management. Proficiency in Python and the data stack (NumPy, Pandas, etc.). Experience in Microsoft Azure data science environments. Understanding of project management methodologies and change management. Ability to manage multiple projects simultaneously in a fast-paced environment. Why Join More ❯

pressure). Communicate findings effectively to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics or personal projects related to football data. Knowledge of advanced football metrics (possession value More ❯

pressure). Communicate findings effectively to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics or personal projects related to football data. Knowledge of advanced football metrics (possession value More ❯

Principal Data and Platform Engineer - Audience Measurement Make Your Mark at Ipsos The Audience Measurement team at Ipsos uses a deep understanding of people to make sense of audiences and how they consume media. We use these insights to influence More ❯

Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that's … seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing AI, science, and engineering to More ❯

an experienced Data Developer to join their team on a permanent basis. In order to be successful, you will have the following experience: Extensive Data Development background within Python (Pandas) Strong SQL skills along with JSON, XML and CSV formats Experience of using APIs for data access Experience with ETL processes and pipeline development SC Cleared Within this role, you … will be responsible for: Cleaning and processing tabular data (Excel, CSV, databases) Building data transformation pipelines using Python and pandas Writing SQL queries to extract and manipulate relational data Implementing data validation and quality assurance processes Working with JSON, XML, and CSV formats Supporting metadata cataloguing and reference data management Learning and applying RDF and semantic web concepts Collaborating with More ❯

Science. Large Language Models(GPT, Claude), Generative AI, Retrieval Augmented Generation. Agentic AI, CoPilot, MCPs. AIML Algorithms(Regression, Classification, Decision Trees, KNN, K-Means) Python (NLTK, NumPy, Scikit-learn, Pandas) Candidates will be expected to work on developing & implementing AIML Solutions for Test Automation in the Securities Processing space. This will entail building AIML Solutions for Test Generation, Test Prioritization … to have. Front End experience in React to build front end for the AIML solutions is a plus. Hands- on experience with Python libraries like(NLTK, NumPy, Scikit-learn, Pandas). Knowledge of AIML algorithms (Regression, Classification, Decision Trees, KNN, K-Means) is preferred. Experience with building, training & finetuning AIML models is a plus. Bachelors degree in Computer Science or More ❯

of the process. Working closely with the biological research team, youll design intuitive user interfaces, translate lab workflows into functional software, and develop robust data analysis pipelines using Python, pandas, matplotlib, and related libraries. Youll even have the chance to take ownership of small development projects from concept to deployment, contributing to GitHub-based workflows and helping shape the platforms … considered as a Software Developer, you will need: - At least one year of software development experience (a placement year will be accepted) - Experience with Python libraries such as tkinter, pandas, and matplotlib - Experience using GitHub or similar version control platforms - Strong proficiency in Python - Familiarity with SQL or other database systems - The a bility to design and build user-friendly More ❯

Role Summary We are seeking a highly skilled Data Engineer with strong AIML (LLMs, Generative AI, Agentic AI) and Python expertise to design, develop, and implement AI/ML-driven solutions for Test Automation within the Securities Processing domain. The More ❯

an experienced Data Developer to join their team on a permanent basis. In order to be successful, you will have the following experience: Extensive Data Development background within Python (Pandas) Strong SQL skills along with JSON, XML and CSV formats Experience of using APIs for data access Experience with ETL processes and pipeline development SC Cleared Within this role, you … will be responsible for: Cleaning and processing tabular data (Excel, CSV, databases) Building data transformation pipelines using Python and pandas Writing SQL queries to extract and manipulate relational data Implementing data validation and quality assurance processes Working with JSON, XML, and CSV formats Supporting metadata cataloguing and reference data management Learning and applying RDF and semantic web concepts Collaborating with More ❯

Data Scientist Location: Hybrid (Greater Bristol Area) Salary: £54,000 Python - PySpark - Azure - Pandas - Scikit-learn - TensorFlow - PyStats - Data Science - Power BI We're supporting a growing, forward-thinking organisation in their search for an experienced Data Specialist. This is an exciting opportunity to join a dynamic team at a pivotal point in its growth, helping shape data strategy, deliver … solutions through advanced machine learning models, statistical methods, and high-performance data pipelines. Skills & Experience Required To be considered, you will need: Strong proficiency in Python and key libraries (pandas, scikit-learn, TensorFlow, PyStats). A solid understanding of machine learning techniques and real-world performance trade-offs. Experience building and maintaining end-to-end machine learning applications. Hands-on … AI/ML, Data Science, Mathematics, Computer Science or similar discipline. IoT Data Scientist (Data Science & Data Engineering) Location: Hybrid (Greater Bristol Area) Salary: £54,000 Python - PySpark - Azure - Pandas - Scikit-learn - TensorFlow - PyStats - Data Science - Power BI More ❯