26 to 50 of 99 Pandas Jobs in London

z2bz0 years of experience in a Data Science setting Experience in AI/Machine Learning + either PyTorch/TensorFlow Experience with NumPy/Pandas Matplotlib/Plotly SQL/MySQL/database experience The ability driving projects from conception to completion Excellent communication skills, Fluency in English is required more »

or more relevant database technologies e.g. Oracle, MongoDB Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, React Familiarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns Personal Attributes: Candidates must have more »

Experience as a Data Analyst/Data Scientist working with vast quantities of raw data Experience with Python, including libraries such as NumPy, SciPy, Pandas etc. Any Medical Device Software experience and understanding of ISO 13485 would really set your application apart! What Next? If you’re a Data Analyst more »

of data engineering experience.Python and SQL.Cloud technologies, ideally AWS.Columnar database, ideally Redshift.ETL and related practices. Excellent communication skills. Other technologies such as Kubernetes, Terraform, Pandas, EMR. Must be fully eligible to work in the UK, cannot offer sponsorship. more »

optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python required understanding of the ML/DS frameworks (XGBoost, Scikit-learn, Pandas, Numpy, etc.), and modular/modern OOP software design practices with a modern ML/Data/Cloud engineering technical stack If you’re interested more »

Requirements: Minimum of 5 years of hands-on experience in machine learning engineering. Proven expertise in regression modelling and time series modelling. Numpy/Pandas/Keras/Tensorslow/XGBoost/Scikit-learn Experienced in GCP preferably Extensive background in deploying and productionizing machine learning models. Strong programming skills more »

with data in Excel or in a database such as MySQL. Working Python experience, including a strong understanding of common libraries such as numpy, pandas, and scipy. Comfort with Linux and command line tools is essential. Meticulous attention to detail to ensure that all aspects of our data are correct. more »

developing AI-based products Experience of developing using Computer Vision 3+ years of experience implementing and/or architecting MLOps solutions Python (NumPy, PyTorch, Pandas, etc.), Demonstrable leadership experience in managing a team of 4+ individuals Experience of working within a start-up would be beneficial but not an essential more »

Working Arrangements: Hybrid (2-3 days p/w in office) Salary: £120,000 – £130,000 Industry: Consultancy/Finance Tech Stack: Python, SQL, Pandas, Numpy 👩🏻‍💻 Great opportunity for a talented Developer (Python, SQL, Pandas, Numpy) to join a tech consultancy that deliver greenfield platforms for their clients. The Company … banks in the world, they operate across the globe and a renowned household name. The Role ✨ They are seeking a skilled Developer (Python, SQL, Pandas, Numpy) to join a Front Office equity trading team. This is a great opportunity to join a Front Office team (Python, SQL, Pandas, Numpy), working … directly on design and architecture and overseeing the scalability of infrastructure. Desired Skills ⚙️ Python (Django or FastAPI a plus but not a requirement) SQL Pandas, Numpy Postgres, MongoDB Benefits 🏖 10% matched pension Health Insurance If you are a skilled Developer (Python, SQL, Pandas, Numpy) who is interested in this role more »

Python Application Developer Industries: Energy/Oil & Gas/Financial Services/Commodities/Trading Location: London Job Type: Full-Time Salary: Up to £120,000 base salary + benefits/bonus The Role: We're delighted to have partnered more »

including data integration, modelling, optimisation and data quality Exceptional understanding of Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Databricks, BigQuery Familiar with AWS Step Functions, Airflow, Dagster, or other workflow orchestration tools Commercial experience more »

Mathematics/Computer Science Academic background 3-5 years of experience with Python (writing and managing code releases) Familiarity with numerical Python libraries, e.g. Pandas, Numpy Firm understanding of version control, testing, and continuous integration Understanding and appreciation for best practices Experience working with SQL databases and Sqlalchemy desired We more »

software systems that incorporate various data backends, query languages and ORM frameworks. Experience designing and building ETL pipelines built around libraries and frameworks like Pandas and Apache Spark. Strong API design skills and a familiarity with building web applications. A proponent of great testing, first-class observability and automating everything. more »

with the following experience:Experience building enterprise systems in Python with a high level of Python fluency (mandatory)Core Python (mandatory) (mandatory)SQL (mandatory)Pandas, NumPy, SciPy etc (preferred)Cloud experience (preferred)TDD (mandatory)Experience writing clean, maintainable code (mandatory)Front office experience (preferred)This is an initial 12 month more »

working in a tech team using a diverse tech stack including: Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, Flask.Frontend: React, Next.js.Data Science: Python, Jupyter, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Weights and biases.Infra: Pulumi, Docker, AWS AppRunner, Step Functions, Grafana cloud monitoring, Prefect.Who you areMust haves:Experience using Python with one more »

or Wealth Management environment. Systems/Internal Processes Familiarity with programming languages such as Python, R or Java and with data analysis libraries (e.g. Pandas, NumPy, scikit-learn). Understanding of database technologies (ETL) and SQL proficiency for data manipulation, data mining and querying. Knowledge of Big Data Tools (Spark more »

working with large and complex data sets to extract insights and identify trends Advanced programming skills with Python, including experience with Jupyter notebooks, PyTest, Pandas, SciKit, PyTorch, type-checking, functional programming, CI/CD, and Git A borad background in machine learning for customer and marketing purposes around pricing, promotions more »

SQL, working with large and complex data sets to extract insights and identify trendsAdvanced programming skills with Python, including experience with Jupyter notebooks, PyTest, Pandas, SciKit, PyTorch, type-checking, functional programming, CI/CD, and GitA strong background in machine learning for customer and marketing purposes around pricing, promotions, recommendations more »

markets, trading dynamics, and market microstructure.Proficiency in programming languages such as Python, R, or C++, with experience in quantitative libraries and tools (e.g., NumPy, pandas, TensorFlow).Experience with data analysis, statistical modeling, and machine learning techniques applied to financial data.Knowledge of trading platforms, order execution systems, and electronic trading protocols.Excellent more »

Influencer Marketing Awards 2022: “Industry Choice of SaaS or Technology” and “Best Influencer Marketing Technology”OUR DATA STACK:Our main technologies are:Python (ScikitLearn, Pandas, Numpy, Scipy)PostgreSQLGoogle CloudKEY REMIT:Your responsibilities will fall across two areas:Creating algorithms and using existing technology to generate reports and insight more quickly more »

understanding complex multi-layered "location" data.The Tools You'll Be Using:You'll be working in a cloud-first Google Cloud Platform environment.Using Python (Pandas) for Data Manipulation.Leveraging Python further for ML-based algorithms.The Experience You Need:You will bring 2-3 years of experience as a Data Scientist.Proficiency in more »

methods, optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python requiredunderstanding of the ML/DS frameworks (XGBoost, Scikit-learn, Pandas, Numpy, etc.), and modular/modern OOP software design practiceswith a modern ML/Data/Cloud engineering technical stackIf you’re interested in this more »

Architectures (e.g., MLP, RNN, CNN) and popular frameworks (e.g., TensorFlow, PyTorch, Keras). Expertise in multiple open-source machine learning libraries (e.g., scikit-learn, Pandas, NumPy, Matplotlib, seaborn, Spacy, NLTK, transformers, Hugging Face, pymupdf). Practical experience solving NLP and document extraction problems. Ability to create compelling stories and visualizations more »

of experience developing AI-based productsExperience of developing using Computer Vision3+ years of experience implementing and/or architecting MLOps solutions Python (NumPy, PyTorch, Pandas, etc.),Demonstrable leadership experience in managing a team of 4+ individuals Experience of working within a start-up would be beneficial but not an essential more »

or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine LearningDeep expertise in Python (production-level) and SQLProficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deploymentExceptional communication skills, able to engage confidently with non-technical stakeholdersExperience resolving operational or customer more »