101 to 125 of 164 NumPy Jobs in London

program) who is eligible for full-time roles in 2027Fluency in PythonExperience with statistical analysis, numerical programming, or machine learning in Python,Pandas/Numpy, R, and/or MATLABBrilliant analytical and problem-solving skillsAbility to work creatively and independently on long-term technical problemsBase salary ...

Masters or PhD in Computer Science, Engineering, or a related field (or equivalent practical experience)Excellent knowledge of Python language and statistical libraries like Numpy, Pandas, PolarsDemonstrable experience in Python in a production environment Strong problem-solving skills and the ability to work in a fast-paced, collaborative and geographically ...

professional data science or quantitative academic role, underpinned by high mathematical and statistical competence. You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch). You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time ...

with the ability to query, join, and manipulate large and complex datasets Strong working knowledge of Python for data analysis and automation (e.g. pandas, numpy) Ability to understand new datasets quickly and extract meaningful insights. Experience working with large, complex datasets across multiple sources. Proficiency in data visualisation tools (Looker ...

science position or a quantitative academic field. You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating ...

consider a reasonable commute to be no longer than 1.5 hours each way) Demonstrable proficiency in Python, including the use of relevant libraries (NumPy, pandas, etc.). For example, a PCAP certification or equivalent, professional experience or meaningful academic experience. Experience in: Using data analysis tools (e.g. Power BI, Tableau ...

communicate effectively with team members in diverse fields Strong programming abilities in Python, and extensive experience with the scientific and machine-learning stack: Numpy, Torch/Tensorflow/Jax, Scikit-learn, Polars, SQL Expertise with deep learning approaches such as diffusion or flow matching Proficiency in modern software development practices ...

Computer Science 3–5 Years of experience with Python, including writing and managing code releases Familiarity with numerical Python libraries such as Pandas and Numpy Firm understanding of version control, testing, and continuous integration Understanding and appreciation of best practices Nice to have: experience with SQL databases and Sqlalchemy Условия ...

Experience developing forecasting or predictive models using machine learning techniques. Strong Python programming skills and experience with common data science libraries such as Pandas, NumPy and Scikit-learn. A solid understanding of statistics, time-series analysis and predictive modelling. #J-18808-Ljbffr ...

checked. What You Will Need Evidence you can build things. Code you have written yourself that someone else has run. Fluent scientific Python, particularly NumPy and SciPy. Proper engineering habits, testing your own work and using Git in a team. Enough mathematical grounding for the domain, from a physics, maths ...

integrity, and dashboard performance issues Act as a trusted advisor to client stakeholders on data analytics matters Python for data analysis and automation (pandas, numpy, scipy, etc.) Data Engineering Knowledge: Familiarity with ETL processes, data integration tools, and modern data platforms (e.g., Databricks) Communication: Excellent stakeholder management and presentation skills ...

/CeleryGood knowledge of RDBMS (Postgres) & NoSQL (Elasticsearch)Good understanding of RESTful APIsGood knowledge of software version control with gitYou will gain exposure to NumPy, SciPy, pandas, IPython and other Python libraries with ability to source, clean and manipulate large data sets as well as google mapping. You will ...

verbal) Risk and control-oriented mindset: ability to ask incisive questions, assess materiality of model issues, and escalation issues appropriately. Proficiency in Python (NumPy, SciPy, Pandas, etc). Curious, ownership-driven, and teamwork-oriented mindset. Preferred qualifications, capabilities and skills Prior model validation or front-office quant experience in pricing ...

learn from and contribute to the body of knowledge. Key Skills Experience using Python and SQL. Strong proficiency with data manipulation including packages like NumPy, Pandas. Knowledge of machine learning techniques and their respective pros and cons. Confident communicator and contributes effectively within a team environment. Self driven and willing ...

academic background in Quantitative Finance, Mathematics, Physics, Engineering, Computer Science, or a related STEM discipline Strong understanding of data fundamentals and their python implementations (numpy, polars, scipy) Strong knowledge of AI/ML techniques with experience delivering related work into production You're curious to explore how AI can improve ...

Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Extensive experience with pytorch, numpy, pandas Hands‐on experience in implementing distributed/multi‐threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.) Able to communicate technical ...

compliance/Financial Services/regulated environment preferred Highly motivated to learn about Fundment’s products Technical Expertise: Python: FastAPI, Pydantic, SQLAlchemy, PyTest, Pandas, Numpy Cloud: Experience supporting production systems Security & Compliance: Familiar with secure coding and regulated environments Values Collaborative – Deliver as a team, communicate clearly, and prioritise collective ...

verbal) Risk and control-oriented mindset: ability to ask incisive questions, assess materiality of model issues, and escalation issues appropriately. Proficiency in Python (NumPy, SciPy, Pandas, etc). Curious, ownership-driven, and teamwork-oriented mindset. Preferred qualifications, capabilities and skills Prior model validation or front-office quant experience in pricing ...

develop and deploy business-critical, data-intensive applications Extensive experience with AWS and Kubernetes Proficiency with lower-level libraries such as PyTorch and NumPy Hands-on experience implementing distributed, multi-threaded, and scalable applications Experience with automated building, testing, and deployment pipelines Familiarity with higher-level interfaces like Pydantic ...

Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Extensive experience with pytorch, numpy, pandas Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.) Able to communicate technical ...

evaluation. Experience designing or contributing to evaluation frameworks for ML models, ideally with imaging or comparable scientific image data. Strong Python data-science stack (numpy, pandas/polars, scikit-learn, PyTorch). Familiarity with terabyte-scale imaging data and standard scientific formats. Strong biological grounding and the ability to partner ...

developing machine learning models in a cloud environmentProficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)Nice to haves: Strong knowledge of software engineering best practicesHave built applications taking advantage of Generative AI in real, production use casesFamiliarity with state of the art LLMs ...

visualisation. Strong knowledge of linear algebra, calculus and statistics. Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas. A passion for applying ML research to real world problems. Depending on your experience: project supervision, leadership, or management. Nice to havePhD ...

Dimensional data modeling or semantic model design for Power BI or similar platforms. Python experience for data transformation, automation, validation, and analysis, including Pandas, NumPy or similar libraries. Experience with ETL/ELT workflows, automated validation routines, controlled data refreshes, or data pipeline documentation. Exposure to benchmarking, normalization, regional factors ...

tuning Strong knowledge of linear algebra, calculus and statistics. Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas. Depending on your experience: project supervision, leadership, or management. Strong knowledge of LLM landscape today, and likely developments for the near futureExperience ...