17 of 17 Remote NumPy Jobs

software engineering best practices including CI/CD, testing, version control and code quality standards.Experience with data processing and analysis tools including Pandas, NumPy, SQL and model deployment technologies such as FastAPI, ONNX or TorchScript.Soft Skills & CollaborationStrong communication skills with the ability to engage technical and non-technical stakeholders.Collaborative approach ...

data and implementing data science processes. Experience in translating customer requirements into technical requirements and development objectives. Python expertise covering standard data science libraries (NumPy, pandas, matplotlib, Scikit-learn, PyTorch, etc ), web frameworks (Flask or FastAPI) and visualisation (Dash, Plotly, & Streamlit). Proficient in SQL. Working with unstructured data Building ...

data and implementing data science processes. Experience in translating customer requirements into technical requirements and development objectives. Python expertise covering standard data science libraries (NumPy, pandas, matplotlib, Scikit-learn, PyTorch, etc...), web frameworks (Flask or FastAPI) and visualisation (Dash, Plotly, & Streamlit). Proficient in SQL. Working with unstructured data Building ...

data and implementing data science processes. Experience in translating customer requirements into technical requirements and development objectives. Python expertise covering standard data science libraries (NumPy, pandas, matplotlib, Scikit-learn, PyTorch, etc ), web frameworks (Flask or FastAPI) and visualisation (Dash, Plotly, & Streamlit). Proficient in SQL. Working with unstructured data Building ...

analysis/stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required.Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.).Proven experience developing, refining, and monitoring NLP models.Familiarity with database management tools and techniques (e.g., SQL, Selenium ...

/stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required. Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.). Proven experience developing, refining, and monitoring NLP models. Familiarity with database management tools and techniques (e.g. ...

structured, semi-structured, or unstructured data, especially large-scale text or content datasets.Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib.The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking, problem ...

stakeholders through verbal and written communicationShare ideas with the wider team, learn from and contribute to the body of knowledgeKey SkillsExperience using Python (pandas, numpy, scikit-learn) and SQLTheoretical understanding of core ML techniques and statistical principlesStrong numerical and analytical skills, comfortable working with large datasetsConfident communicator and contributes effectively ...

skills for being effective in the role are:Technical Proficiency: Strong proficiency in Python for data analysis, machine learning and statistical modelling (e.g. pandas, NumPy, scikit-learn), alongside familiarity with cloud-based data platforms, preferably Google Cloud.Analytical Modelling: Proven experience developing analytical, statistical or machine learning solutions within complex operational ...

used, why you chose them and what alternatives you considered. Python: Strong proficiency in Python and its data/ML ecosystem (pandas, NumPy, scikit-learn), writing maintainable, production-quality code. AWS: Hands-on experience building, training and deploying ML models on the AWS stack, ideally with experience in Amazon SageMaker ...

used, why you chose them and what alternatives you considered. Python: Strong proficiency in Python and its data/ML ecosystem (pandas, NumPy, scikit-learn), writing maintainable, production-quality code. AWS: Hands-on experience building, training and deploying ML models on the AWS stack, ideally with experience in Amazon SageMaker ...

analysis, and 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 in machine learning ...

fine-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 working with ...

detail Comfortable in profiling tools like Nsight or PyTorch Profiler, and monitoring stacks like Prometheus and Grafana Python for data work, Pandas and NumPy, plus general scripting Nice to have rather than essential: a postgraduate degree and research background (publications welcome), real depth on inference serving frameworks like vLLM ...

similar Familiarity with profiling tools (Nsight, PyTorch Profiler) and ideally some exposure to monitoring stacks (Prometheus, Grafana) Strong Python for data work, Pandas and NumPy, genuine scripting ability Nice to have: exposure to inference serving frameworks like vLLM, published research, or open source contributions in this space. Why look twice ...

insurance and/or options pricing or financial services • Knowledge of extreme statistics • Proficiency in Python and associated Data Science libraries and tools (pandas, numpy, seaborn, matplotlib, scipy) My client is based in the City of London but this is a Remote Role. ...

government and enterprise clients, both virtually and face to face Teach vendor-specific and bespoke courses covering prompt engineering, machine learning techniques and the NumPy ecosystem Design and develop courseware using instructional design principles and adult learning theory, tailored to client requirements Act as a subject matter expert, feeding insight … technical audiences, virtually and in person Strong knowledge of GenAI concepts and prompt engineering Solid grounding in machine learning techniques and Python, including the NumPy ecosystem Experience designing learner-centred courseware Eligible for, and willing to obtain, SC security clearance Desirable: Hands-on experience with TensorFlow or PyTorch Familiarity with ...