10 of 10 NumPy Jobs in Bristol

for solving problems, ideally including Large Language Models Proficiency in Python, particularly with machine learning and data science libraries such as PyTorch, scikit-learn, numpy and scipy Good communication and interpersonal skills Experience working with large-scale data processing systems such as Spark and Hadoop Experience in software development in More ❯

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. Attention to detail and ability to follow defined More ❯

with image data , ideally in defence, aerospace, or industrial domains (e.g., satellite, UAV, thermal imaging). Proficient in Python and libraries such as Pandas, NumPy, OpenCV, TensorFlow, or PyTorch . Experience with data annotation tools (e.g., Labelbox, CVAT, VIA, or custom platforms). Strong knowledge of data handling best practices More ❯

AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. More ❯

Knowledge of programming languages (e.g., Python), cloud infrastructure (e.g., Google Cloud), software (e.g., GitHub, Docker), ML model design and scientific libraries (e.g. TensorFlow, PyTorch, NumPy and Pandas). Experience with Cell Therapy Conferences such as: Advanced Therapies Week (Phacilitate), Allogeneic Cell Therapies Summit, ASGCT, ISCT, or Meeting on the Mesa More ❯

Understanding of transfer learning and popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond the day job More ❯

years of professional experience in machine learning engineering. 2+ years of leadership or technical mentoring experience. Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning … . Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large-scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights & Biases #J-18808-Ljbffr More ❯

AI and machine learning models, integrating plasma physics insights to innovate semiconductor solutions, such as plasma etch and deposition. Utilize Python libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) to architect and prototype cutting-edge ML systems, leveraging Linux environments. Able to expand programming expertise to other languages such as … development projects. Advanced proficiency in at least one of Python, C++, Fortran, Julia, or Java, with experience in AI/ML libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) and familiarity with Linux environments. Strong understanding of physics and engineering principles, ideally with plasma physics knowledge relevant to semiconductor processing. More ❯

innovation, inclusivity, and career growth, empowering you to make a global impact. Key Responsibilities Write clean, efficient code in Python (using libraries like Pandas, NumPy, Scikit-learn) to build and test ML models and prototypes in Linux environments Expand programming skills to other languages (e.g., C++, Java) as needed for … Person/Qualifications Proficiency in Python, C++, Fortran, Julia, or Java, with familiarity with Linux environments Experience with AI/ML libraries (e.g., Pandas, NumPy, Scikit-learn) or simulation methods (desirable) Strong problem-solving skills and a curious, innovative mindset Effective communication skills to collaborate with technical and non-technical More ❯

AI and machine learning models, integrating plasma physics insights to innovate semiconductor solutions, such as plasma etch and deposition. Utilize Python libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) to architect and prototype cutting-edge ML systems, leveraging Linux environments. Able to expand programming expertise to other languages such as … development projects. Advanced proficiency in at least one of Python, C++, Fortran, Julia, or Java, with experience in AI/ML libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) and familiarity with Linux environments. Strong understanding of physics and engineering principles, ideally with plasma physics knowledge relevant to semiconductor processing. More ❯