13 of 13 SciPy Jobs in the UK

concise documentation and analysis. NICE TO HAVE BUT NOT ESSENTIAL Proficient in python’s various data transformation, visualisation and statistics libraries i.e. pandas, numpy , scipy and plotly Experience leading a team or owning a whole product domain PROCESS 1) Screening call with recruiter - 30 mins 2) Take home Case Study ...

Candidates should be highly proficient in Python and comfortable building production-quality applications and analytics tools. Experience with Python libraries such as Pandas, NumPy, SciPy, Numba , or other data science frameworks would be advantageous. Exposure to financial markets, fixed income products, or credit instruments would be beneficial, although not essential. ...

Candidates should be highly proficient in Python and comfortable building production-quality applications and analytics tools. Experience with Python libraries such as Pandas, NumPy, SciPy, Numba , or other data science frameworks would be advantageous. Exposure to financial markets, fixed income products, or credit instruments would be beneficial, although not essential. ...

Candidates should be highly proficient in Python and comfortable building production-quality applications and analytics tools. Experience with Python libraries such as Pandas, NumPy, SciPy, Numba , or other data science frameworks would be advantageous. Exposure to financial markets, fixed income products, or credit instruments would be beneficial, although not essential. ...

calling, agentic workflows), including evaluation and safety patterns. Expertise with machine learning frameworks and data science packages (e.g., PyTorch, TensorFlow, Scikit-Learn, NumPy, Pandas, SciPy, statsmodels). Experience deploying to AWS (e.g., SageMaker, Bedrock) and operating production workloads with attention to cost, performance, security, and scaling. Experience integrating human ...

Nanoformulations. Skills and Criteria: Degree in Computer Science, Physics, Bioengineering, or a related field. Proficiency in Python programming, and experience with some of NumPy, SciPy, Pandas, Matplotlib, Sklearn and PyTorch. Experience with hardware integration or interfacing software with laboratory instruments. Familiarity with development lifecycles, version control, testing and documentation. Demonstrated ...

Nanoformulations. Skills and Criteria: Degree in Computer Science, Physics, Bioengineering, or a related field. Proficiency in Python programming, and experience with some of NumPy, SciPy, Pandas, Matplotlib, Sklearn and PyTorch. Experience with hardware integration or interfacing software with laboratory instruments. Familiarity with development lifecycles, version control, testing and documentation. Demonstrated ...

Nanoformulations. Skills and Criteria: Degree in Computer Science, Physics, Bioengineering, or a related field. Proficiency in Python programming, and experience with some of NumPy, SciPy, Pandas, Matplotlib, Sklearn and PyTorch. Experience with hardware integration or interfacing software with laboratory instruments. Familiarity with development lifecycles, version control, testing and documentation. Demonstrated ...

leading the delivery of data science or AI projects from concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment ...

over time. Required Skills and Qualifications Technical Expertise (The Core) Programming: Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy . Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch . Statistics & Math: Strong foundation in statistical modeling ...

over time. Required Skills and Qualifications Technical Expertise (The Core) Programming: Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy . Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch . Statistics & Math: Strong foundation in statistical modeling ...

models for business application Experience in applied research Preferred Qualifications Experience with modeling tools such as R, scikit‐learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Equal Opportunity & Privacy Amazon is an equal opportunities employer. We believe passionately that ...

Science, Computer Science, Engineering, Mathematics, Physics, Chemistry, or similar. Strong proficiency in Python and familiarity with core data science libraries such as pandas, numpy, scipy, statsmodels, or scikit-learn. Experience crafting predictive models, especially against time-series or operational sensor data. Knowledge of cloud platforms, preferably Azure, and a good ...

hands-on engineering with strategic thinking, and this role requires both, often in the same week. Familiarity with Python scientific or numerical libraries (NumPy, SciPy, or similar) and comfort working in or around ML workflows. You may also have some experience with or desire to learn: ML infrastructure, distributed computing ...

hands-on engineering with strategic thinking, and this role requires both, often in the same week. Familiarity with Python scientific or numerical libraries (NumPy, SciPy, or similar) and comfort working in or around ML workflows. You may also have some experience with or desire to learn: ML infrastructure, distributed computing ...

hands-on engineering with strategic thinking, and this role requires both, often in the same week. Familiarity with Python scientific or numerical libraries (NumPy, SciPy, or similar) and comfort working in or around ML workflows. You may also have some experience with or desire to learn: ML infrastructure, distributed computing ...

industry setting (excluding post‐doc positions), 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 ...

more for an exceptional candidate) Requirements for RF Data Scientist/Research Engineer: Strong Python skills for data analysis and prototyping (e.g. NumPy, SciPy, matplotlib, PyTorch, scikit-learn) Excellent understanding of digital signal processing techniques — including FFTs, resampling, modulation, and filtering Hands-on experience working with SDR platforms such ...

more for an exceptional candidate) Requirements for RF Data Scientist/Research Engineer: Strong Python skills for data analysis and prototyping (e.g. NumPy, SciPy, matplotlib, PyTorch, scikit-learn) Excellent understanding of digital signal processing techniques — including FFTs, resampling, modulation, and filtering Hands-on experience working with SDR platforms such ...

building machine learning models and pipelines in Python, using common libraries and frameworks (PyTorch/CUDA, ideally with exposure to JAX, NumPy/SciPy), especially including deep learning applications; developing models for bespoke problem settings that involve high‐dimensional data (spatiotemporal, geometric, physical); iterating on network architectures and model structure ...

My client is a London-based financial-services company who are actively seeking a Senior Python Quant Developer to join on an initial 12-month contract basis. What you'll need to succeed : Extensive hands ...