226 to 250 of 331 Pandas Jobs in the UK

some combination of Software Engineering, ML Engineering, Data Science, DevOps, and Cloud Infrastructure work. Expertise in Python which includes experience in libraries such as Pandas, scikit-learn. High proficiency in SQL. Knowledge of best practices in software engineering is necessary. Hands-on industry experience in some combination of the following More ❯

some combination of Software Engineering, ML Engineering, Data Science, DevOps, and Cloud Infrastructure work. Expertise in Python which includes experience in libraries such as Pandas, scikit-learn. High proficiency in SQL. Knowledge of best practices in software engineering is necessary. Hands-on industry experience in some combination of the following 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 ❯

/PyTorch/Jax, Scikit-learn, and MLOps workflows for training, deployment, and monitoring of ML models. Experience working with Polars and/or Pandas for high-performance data processing. Proficiency with cloud platforms (AWS, GCP, or Azure), including containerization and orchestration using Docker and Kubernetes. Hands-on experience with More ❯

probabilistic models, clustering algorithms, classification models and time series techniques in a production environment. Proficiency with Python and all related Data Science libraries (numpy, pandas, matplotlib, etc.), and SQL with excellent analytical and algorithmic skills. A proven record for successful implementation of translating business requirements into a technical solution. Multi More ❯

in a dynamic, fast-paced environment; retail focus preferred. You have experience extracting data from databases using SQL and analysing data using Python (NumPy, Pandas, etc.). You have a bachelor degree in a quantitative subject. You are capable of acting as a trusted advisor when presenting data and insights More ❯

the ability to become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid More ❯

visualizing, analyzing data, and building statistical or machine learning tools. Fluency in one or more data science programming languages (R, Python with NumPy/pandas etc, Julia) with experience in writing documentation. Excellent written and verbal communication skills including the ability to present technical information and to write structured technical More ❯

a team, coordinating others, and managing several research projects simultaneously. Fluency in one or more data science programming languages (R, Python with NumPy/pandas, etc., Julia) with experience in writing documentation. Excellent written and verbal communication skills, particularly with wider stakeholders and across disciplines. Proven time management skills across More ❯

visualizing, analysing data, and building statistical or machine learning tools. Fluency in one or more data science programming languages (R, Python with NumPy/pandas etc, Julia) with experience in writing documentation. Excellent written and verbal communication skills including the ability to present technical information and to write structured technical More ❯

in a data-driven role, with exposure to: building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical); iterating on network architectures More ❯

coders with a demonstrable ability to realise their ideas; some knowledge of Python is essential, including the use of fundamental data science libraries (e.g., Pandas, NumPy, Sci-kit-Learn). You may also have experience with Deep Learning models (libraries including PyTorch, Transformers) and usage of GenAI. Highly numerate and More ❯

coders with a demonstrable ability to realise their ideas; some knowledge of Python is essential, including the use of fundamental data science libraries (e.g., Pandas, NumPy, Sci-kit-Learn). You may also have experience with Deep Learning models (libraries including PyTorch, Transformers) and usage of GenAI. Highly numerate and More ❯

and non-technical stakeholders REQUIREMENTS credit risk modeling/data science role, ideally in fintech, banking, or consumer lending Strong Python and SQL skills (Pandas, Scikit-learn, etc.) Solid understanding of credit risk modelling, statistical methods HOW TO APPLY Please apply below... More ❯

and non-technical stakeholders REQUIREMENTS credit risk modeling/data science role, ideally in fintech, banking, or consumer lending Strong Python and SQL skills (Pandas, Scikit-learn, etc.) Solid understanding of credit risk modelling, statistical methods HOW TO APPLY Please apply below... More ❯

data solutions. Own the reliability, performance, and scalability of data infrastructure. Recruit and lead a growing team of data engineers. Tech Stack Python (3.10+), Pandas, NumPy PostgreSQL (TimescaleDB), SQL optimization RabbitMQ, ZeroMQ, Linux servers Prometheus, Grafana, Zabbix Requirements 5+ years of Data Engineering experience with expertise in Python and SQL. More ❯

data solutions. Own the reliability, performance, and scalability of data infrastructure. Recruit and lead a growing team of data engineers. Tech Stack Python (3.10+), Pandas, NumPy PostgreSQL (TimescaleDB), SQL optimization RabbitMQ, ZeroMQ, Linux servers Prometheus, Grafana, Zabbix Requirements 5+ years of Data Engineering experience with expertise in Python and SQL. More ❯

Requirements Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred). Strong Python skills, especially with libraries like Numpy, Pandas, and Polars. At least 5 years of Python development experience. Excellent problem-solving skills and ability to work well in a fast-paced, collaborative environment. More ❯

Requirements Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred). Strong Python skills, especially with libraries like Numpy, Pandas, and Polars. At least 5 years of Python development experience. Excellent problem-solving skills and ability to work well in a fast-paced, collaborative environment. More ❯

Skills & Experience We’re looking for a Data Scientist with: Strong experience in predictive modeling, customer analytics, or marketing data science. Proficiency in Python (Pandas, NumPy, Sci-Kit Learn) or similar tools. A proven track record of delivering impactful, data-driven solutions. Strong communication skills and the ability to translate More ❯

to computer vision challenges Knowledgeable about key architectures like Vision Transformers, DeepLabv3, and SegFormer Proficient in Python and ML tools, including Scikit-Learn, NumPy, Pandas, PyTorch, TensorFlow, or Keras Capable of applying machine learning to solve real-world problems Please apply via the link for immediate consideration More ❯

to computer vision challenges Knowledgeable about key architectures like Vision Transformers, DeepLabv3, and SegFormer Proficient in Python and ML tools, including Scikit-Learn, NumPy, Pandas, PyTorch, TensorFlow, or Keras Capable of applying machine learning to solve real-world problems Please apply via the link for immediate consideration More ❯

kit learn, tensorflow, metaflow, MLOps) Preferred Experience: Knowledge of Rust Experience with frameworks like Metaflow, Prefect, etc. Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases This role would see you work in their South West office c.1 - 2 days per week ideally. It is available immediately for an More ❯

kit learn, tensorflow, metaflow, MLOps) Preferred Experience: Knowledge of Rust Experience with frameworks like Metaflow, Prefect, etc. Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases This role would see you work in their South West office c.1 - 2 days per week ideally. It is available immediately for an More ❯

architectures, including supervised learning. Experience with GPU training and supporting libraries such as CUDA and PyTorch. Proficiency in the broader data science ecosystem, including pandas and numpy. Familiarity with Kafka data streaming and multiprocessing for deploying models. Strong general Python development skills and adherence to software best practices. More ❯