176 to 200 of 234 Pandas Jobs in London

ahead and survivorship bias, and reconstructing what was knowable on a given date. Statistical modelling and optimisation (statsmodels, cvxpy; PyTorch useful). Datasets in pandas and Parquet/Arrow, plus an analytical engine such as DuckDB. Nice to have Quantitative research background, academic or industry. Index construction and classification taxonomies. ...

systems (latency histograms, throughput metrics, SLAs). Familiarity with scripting languages (e.g., Python, Bash) for tooling and automation. KDB+ Data Analysis with python (pytorch, pandas, arrow) #J-18808-Ljbffr ...

tuning paradigms, from SFT to the principles behind RLHF/RLAIF preference modelling; Strong Python skills with LangChain, HuggingFace Transformers, and data pipelines using Pandas, DVC, and Weights & Biases; Ability to define and track generation quality using BLEU, ROUGE, and editorial-specific evaluators; Experience with STT/TTS tools ...

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, risk ...

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 information ...

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 ...

demonstrable impact on product and commercial outcomes. Advanced SQL — comfortable writing performant queries against large, complex datasets; window functions, CTEs, query optimisation. Strong Python — pandas, numpy, scipy, statsmodels (or equivalent); able to build analysis pipelines, not just notebooks. Solid applied statistics — experimental design, hypothesis testing, sample sizing, multiple testing correction ...

within the rail , energy or mining sectors Experience in implementing low-power modes and optimising power consumption Comfort analysing device data in Python (e.g. pandas) to support engineering and product decisions Familiarity with real-time operating systems (RTOS) and their implementation Familiarity with designing, implementing and maintaining OTA firmware update ...

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 distributed environmentExcellent communication ...

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, risk ...

simulation environments from the ground up. Deep knowledge of cryptocurrency market structure, DeFi protocols and on‐chain data. Familiarity with data analysis libraries (e.g., Pandas, NumPy, SciPy) and machine learning concepts. Experience working with large‐scale time‐series data and databases (e.g., KDB+, InfluxDB, TimescaleDB). Experience in a performance ...

simulation environments from the ground up. Deep knowledge of cryptocurrency market structure, DeFi protocols and on-chain data. Familiarity with data analysis libraries (e.g., Pandas, NumPy, SciPy) and machine learning concepts. Experience working with large-scale time-series data and databases (e.g., KDB+, InfluxDB, TimescaleDB).Experience in a performance-sensitive ...

developing machine learning models in a cloud environment Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas) Nice to haves: Strong knowledge of software engineering best practices Have built applications taking advantage of Generative AI in real, production use cases Familiarity with state ...

large, complex datasets is essential. Experience with data analytics tools is highly advantageous , particularly: SQL for data querying and manipulation. Python (especially libraries like Pandas) for data analysis. Business Intelligence packages such as Looker or Power BI for visualisation and reporting. Proven Transformation Experience: Demonstrable experience contributing to finance change ...

tuning paradigms, from SFT to the principles behind RLHF/RLAIF preference modelingStrong Python skills, including working with LangChain, HuggingFace Transformers, and data pipelines (Pandas, DVC, Weights & Biases)Comfortable defining and tracking generation quality with eval metrics like BLEU, ROUGE, and building editorial-specific evaluatorsExposure to STT/TTS tools ...

hedge fund, market maker, or quantitative trading firm Proven experience building and supporting production systems for live systematic trading strategies Strong Python development (NumPy, Pandas, and the wider data ecosystem) Background as a Software Engineer/Quant Developer, not a Quant Researcher Experience with market data engineering, ML pipelines, execution ...

manipulate large, raw data sources Demonstrated proficiency in Python, R, or C/C++. Familiarly with data science toolkits, such as scikit-learn, Pandas Strong command of foundations of applied and theoretical statistics, linear algebra, and machine learning techniques Collaborative mindset with strong independent research abilities Commitment to the highest ...

exposure to bond pricing, stochastic volatility modelling and Monte Carlo simulations. Proficient in time‐series analysis, econometrics and factor‐based modelling. Advanced Python (numpy, pandas) with production deployment experience. C++ highly valued; SQL proficiency; MS Office with VBA a plus. Clear communicator able to explain complex ideas to non‐specialists. ...

commercial development experience any language Golang experience, doesn't have to be commercial PostgreSQL Celery Ideally APi DevelopmentYou 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 be joining ...

relevant software engineering experience Hands on technical expert, confident to lead development in dotnet core/aspnet core Experience in Python, with emphasis on Pandas Experience with Postgres, Snowflake and/or handling large datasets Experience with linux, docker and cloud-based development platforms and cloud-based technologies and architecture ...

proprietary research platform to support new exchanges, products and functionality. Python Developers Must Have: Expert in writing production level Python code including numpy, pandas, scipy, statsmodels etc (Python packages for numerical and statistical analysis)Able to take high level requirements and lead with constructing the engineering concept to underpin that ...

proprietary research platform to support new exchanges, products and functionality. Python Developers Must Have: Expert in writing production level Python code including numpy, pandas, scipy, statsmodels etc (Python packages for numerical and statistical analysis)Able to take high level requirements and lead with constructing the engineering concept to underpin that ...

proprietary research platform to support new exchanges, products and functionality. Python Developers Must Have: Expert in writing production level Python code including numpy, pandas, scipy, statsmodels etc (Python packages for numerical and statistical analysis)Able to take high level requirements and lead with constructing the engineering concept to underpin that ...

paradigms, from SFT to the principles behind RLHF/RLAIF preference modeling Strong Python skills, including working with LangChain, HuggingFace Transformers, and data pipelines (Pandas, DVC, Weights & Biases) Comfortable defining and tracking generation quality with eval metrics like BLEU, ROUGE, and building editorial-specific evaluators Exposure to STT/ ...

safety research, or a quantitative academic field with strong experiment design methodology. You demonstrate strong programming skills in Python using core scientific libraries (NumPy, Pandas) and , ideally, evaluation frameworks and tooling (e.g. Inspect AI) and agentic harnesses. You bring deep curiosity and expertise across the data science toolkit, with ...