76 to 100 of 120 NumPy Jobs in the UK

Chatbors, particular voice, is a must-have. Strong recent hands-on capabilities in Python are a must-have. Experience with a microservice environment using tools such as Jupyter, Pandas, Numpy, Fast API, and SQL alchemy is a must. Srong's understanding of deploying and supporting LLM’s in a production environment is a must-have. An interest and understanding of More ❯

testing pipelines and evaluation frameworks. Collaborate with data scientists, software engineers, and domain experts to deliver high-impact solutions. Essential Skills Expert-level Python programming with libraries such as NumPy, Pandas, Scikit-learn, LangChain, LlamaIndex, and Azure AI Foundry. Strong experience with Azure and generative AI R&D. Practical knowledge of GenAI techniques including prompt orchestration, retrieval methods, and agentic More ❯

code quality, documentation, and testing Develop evaluation pipelines and ensure robust quality control across deployments Essential Skills and Experience: Advanced Python programming skills with experience in libraries such as Numpy, Pandas, Scikit-Learn, Langchain, LlamaIndex Deep expertise in Azure and its AI services, including Azure AI Foundry Hands-on experience with GenAI techniques: prompt orchestration, retrieval methods (RAG, knowledge graphs More ❯

code quality, documentation, and testing Develop evaluation pipelines and ensure robust quality control across deployments Essential Skills and Experience: Advanced Python programming skills with experience in libraries such as Numpy, Pandas, Scikit-Learn, Langchain, LlamaIndex Deep expertise in Azure and its AI services, including Azure AI Foundry Hands-on experience with GenAI techniques: prompt orchestration, retrieval methods (RAG, knowledge graphs More ❯

Object Detection and LLM analysis implementation LLM fine tuning Machine Learning & AI Libraries including: Transformers/Hugging Face Python expertise with an understanding of object-oriented programming Pandas, PyTorch, Numpy SQLAlchemy, Boto3 AWS - Lambda, S3, CDK API Development Design and implementation of AI/ML solutions Excellent communicator Strong stakeholder management Keen collaborator The above is not exhaustive. For further More ❯

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 structures More ❯

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 structures More ❯

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 structures More ❯

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 structures More ❯

tools to query, analyse, and visualise complex datasets. Skills & Experience Proficiency in SQL and Excel; experience with BI tools such as Power BI or Tableau. Familiarity with Python (pandas, numpy) for advanced analysis and automation. Previous experience in a data or BI analyst role, ideally within a wholesale or distribution environment. Knowledge of ERP systems, Salesforce, or Google Analytics is More ❯

Significant experience in data science or a quantitative academic field. Strong programming background; must be able to quickly become fluent in Python . Proficiency with key data science libraries (NumPy, Pandas, Scikit-Learn) and experience with deep learning frameworks (TensorFlow, PyTorch, or Caffe). Strong mathematical and statistical skills. Broad knowledge of core data science techniques, such as: Supervised/ More ❯

Requirements: 5+ years of experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Strong Python skills (including libraries like Pandas, NumPy, Scikit-learn); experience with other languages is a plus Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and More ❯

Requirements: 5+ years of experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Strong Python skills (including libraries like Pandas, NumPy, Scikit-learn); experience with other languages is a plus Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and More ❯

design principles in C++/Java . Creative use of computers (e.g. music/video production ). Experience using (or creating!) audio systems or devices. Familiarity with SciPy/NumPy/Matlab . Mobile development (Android/iOS). Practical DSP knowledge. BSc level understanding of maths or physics . For more company details, please visit our website at https More ❯

design principles in C++/Java . Creative use of computers (e.g. music/video production ). Experience using (or creating!) audio systems or devices. Familiarity with SciPy/NumPy/Matlab . Mobile development (Android/iOS). Practical DSP knowledge. BSc level understanding of maths or physics . For more company details, please visit our website at https More ❯

and professional expertise Extensive experience with data engineering principles and advanced analytics techniques. Proficiency in programming languages (Python, R, SQL). Experience with data manipulation and analysis tools (Pandas, NumPy, Dask). Strong leadership and communication skills. Ability to lead cross-functional teams and manage stakeholder expectations As an equal opportunities' employer, we welcome applications from individuals of all backgrounds. More ❯

and guiding teams through technical transformation. To be successful as a Lead Data Scientist, you should have experience with: Advanced Python Programming- Expert knowledge of data science libraries e.g. NumPy, Pandas, scikit-learn, PyTorch Machine Learning Expertise- Demonstrated experience in designing, training, evaluating, and deploying production-grade ML models Software Engineering Excellence- Experience building modular, maintainable code with CI/ More ❯

related technical discipline. Good knowledge of machine learning and computer vision algorithms. Familiarity with real-time imaging pipelines. Experience with scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit's, etc. Experience in standard software engineering practices including version control systems and software testing methodologies. Excellent oral and written communication skills. Analytical thinker, attentive to details, creative and More ❯

Occasionally the employee might be part of collaborations across different teams and must report to different project managers.Role Requirements Advanced programming with Python and related data science libraries (pandas, numpy, scipy, etc) at least 2 years, possibly at production level Data science skills: statistical analyses, machine learning techniques. Previous experience in statistical matching and segmentation techniques is a great bonus More ❯

Unix computing environment and High Performance Computing (HPC). Knowledge of statistics and experience with statistical software and data processing modules such as R and python modules including pandas, numpy and Matplotlib. Experience in data presentation and statistical analyses. Desirable Experience in a diagnostic laboratory. Experience participating in collaborative research projects. Some experience of research in a clinical environment. Proven More ❯

model deployment and beyond (monitoring and improvement). In-depth knowledge of statistical hypothesis testing and ML modeling techniques. Experience in using Python for numerical/statistical programming (including Numpy, Pandas, and Scikit-learn). Significant experience in using SQL. Ability to communicate effectively with audiences of various backgrounds, levels, and functions. Experience in conducting and analyzing AB tests in More ❯

to ethical AI assurance by identifying and documenting model limitations and risks. Essential Skills & Experience Proficient in Python with a strong command of data science libraries such as pandas, NumPy, scikit-learn, and similar tools. Experience designing experiments and validating machine learning models with appropriate statistical rigor. Deep understanding of machine learning performance metrics and statistical evaluation techniques. Knowledge of More ❯

communicate findings in a clear, concise manner. Collaborate with the data engineering team to maintain good data hygiene and integration. Essential Requirements Proficiency in Python for data analysis (pandas, NumPy, matplotlib/seaborn). Solid foundation in statistics: distributions, hypothesis testing, confidence intervals, regression. Experience working with structured datasets Ability to produce clear, well-commented code and visual outputs (e.g. More ❯

expertise to drive results. What you'll bring Minimum bachelors degree in a STEM subject at a reputable academic institution. 3+ years professional experience in Python including use of NumPy, Pandas and other scientific libraries. Experience working in a Linux environment. A desire to work closely with Researchers and accelerate their research. The ability to self-manage, self-motivate, and More ❯

expertise to drive results. What you'll bring Minimum bachelors degree in a STEM subject at a reputable academic institution. 3+ years professional experience in Python including use of NumPy, Pandas and other scientific libraries. Experience working in a Linux environment. A desire to work closely with Researchers and accelerate their research. The ability to self-manage, self-motivate, and More ❯