using a diverse tech stack including: Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, Flask. Frontend: React, Next.js. Data Science: Python, Jupyter, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Weights and biases. Infra: Pulumi, Docker, AWS AppRunner, Step Functions, Grafana cloud monitoring, Prefect. Who you are Must haves: Experience using Python with one more »
existing and new datasets to develop significant insights and decision support tools for investment teams. Required Skills: Advanced knowledge and experience with Python (Pandas, NumPy + more) and SQL Strong background in advanced analytics and statistical modelling Strong analytical and quantitative skills Experience working with large, unstructured data sets Prior more »
and then turning those insights into practical modelling solutions that can deploy to production. About you Strong Python experience, including DS libraries such as NumPy, SciPy, Pandas, Seaborne/MatPlotLib etc Experience working with large datasets in SQL and RDBMSs, and ability to identify and fix data quality issues & perform more »
code quality, performance, and scalability. Qualifications Bachelor’s Degree in Computer Science, Information Systems, Mathematics, etc. 7+ years in Python and libraries like PyTorch, NumPy, Pandas, Matplotlib, QuantLib, etc Experience in Systems that handle high-throughput, low-latency data Experience with multi-threading, concurrency, and high-frequency trading (HFT). more »
Strong knowledge of one or more relevant database technologies e.g. Oracle, MongoDB Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, React Familiarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns Personal more »
markets, trading dynamics, and market microstructure. Proficiency in programming languages such as Python, R, or C++, with experience in quantitative libraries and tools (e.g., NumPy, pandas, TensorFlow). Experience with data analysis, statistical modeling, and machine learning techniques applied to financial data. Knowledge of trading platforms, order execution systems, and more »
Marketing Awards 2022: “Industry Choice of SaaS or Technology” and “Best Influencer Marketing Technology” OUR DATA STACK: Our main technologies are: Python (ScikitLearn, Pandas, Numpy, Scipy) PostgreSQL Google Cloud KEY REMIT: Your responsibilities will fall across two areas: Creating algorithms and using existing technology to generate reports and insight more more »
both using the ArcGIS model builder and Python. The knowledge of ArcGIS python API (ArcPy), and other geospatial Python libraries (e.g. geopandas, gdal, sf, numpy, rasterio, netcdf4, etc) is considered a plus. You have experience of building new web-based applications, following Customer requirements, in ESRI ArcGIS environment. A working more »
maintaining cloud Data Warehouses 2+ years’ experience of Snowflake configuration, deployment and maintenance Extensive hands-on experience of using Python commercially (scikit-learn, pandas, numpy, etc.) Extensive hands-on experience of using Azure to import, store, process and archive data If you feel your experience is a fit with the more »
and excellence. Requirements: Minimum of 5 years of hands-on experience in machine learning engineering. Proven expertise in regression modelling and time series modelling. Numpy/Pandas/Keras/Tensorslow/XGBoost/Scikit-learn Experienced in GCP preferably Extensive background in deploying and productionizing machine learning models. Strong more »
machine learning, computer science or related field. Proven track record of peer-reviewed publications. Strong programming skills and experience working with Python and Pandas, Numpy, scikit-learn or other standard ML and deep learning libraries Familiar with commonly used machine learning algorithms and experience in using at least one deep more »
Science, Mathematics, Statistics, Business Administration, or related field. Advanced knowledge of SQL and Python, including popular Data Science packages such as pandas, matplotlib, seaborn, numpy, and sklearn. Familiarity with machine learning algorithms and techniques, with a deep understanding of their underlying principles. Strong problem-solving skills and meticulous attention to more »
z2bz0 years of experience in a Data Science setting Experience in AI/Machine Learning + either PyTorch/TensorFlow Experience with NumPy/Pandas Matplotlib SQL/MySQL/database experience Please note, this is a hybrid position. Candidates who cannot travel to City of London location 2 times more »
z2bz0 years of experience in a Data Science setting Experience in AI/Machine Learning + either PyTorch/TensorFlow Experience with NumPy/Pandas Matplotlib/Plotly SQL/MySQL/database experience The ability driving projects from conception to completion Excellent communication skills, Fluency in English is required more »
libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Extensive experience of deploying a cloud platform (GCP, AWS or Azure) Strong proficiency in NumPy for numerical computing and data manipulation tasks. Proven knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of more »
collaboration and communication. Strong understanding of Linear algebra, Complex numbers, Optimisation theory, and Machine learning algorithms. Hands on experience with Python, (Django a plus) NumPy/SciPy/OpenCV or similar frameworks, CI/CD tools and working on Linux OS. This is an immediate hire and my client is more »
to develop and deploy AI models. Requirements: PhD in AI or Computer Science with at least one top-tier publication. Strong proficiency in Python, Numpy, Scipy, and Tensorflow/PyTorch. Extensive understanding of state-of-the-art LLMs and the latest research methods and best practices. Experience in developing ML more »
office 1-2 days a week (or more often if desired). About you: You're a Senior Data Scientist with strong Python and NumPy experience You have experience with numerical optimisation problems, ideally forward-curve modelling with large data sets You're familiar with LLM, NLP and time-series more »
Greater London, England, United Kingdom Hybrid / WFH Options
Elliott Wood
a UK Engineering firm as a structural or civil engineer You have experience developing applications with Python and an understanding of tools such as Numpy, Pandas, Jinja and PyNiteFEA You have experience of connecting to APIs for commonly used industry software products from providers such as Autodesk, Tekla, CSI or more »
implement various upgrades etc. Requirements: Knowledge and experience of working with Python3 Particular knowledge and experience of working with high performance libraries such as Numpy and Tensorflow Experience of working with JIT compilers such as Numba Ability to implement best practices particularly with regards to managing code bases, testing code more »
team of Engineers, working to design, develop and maintain my clients analysis pipeline for their core platform. Working with Python and libraries such as, NumPy, SciPy and Pandas for real-time data processing. The Company The Senior Software Engineer, will join an innovative organisation who are dominating their field, creating … required of the Senior Software Engineer? Extensive experience developing software in Python Experience with real-time data processing Experience with Python libraries such as, NumPy, Pandas, SciPy etc. Any Medical Device Software development and understanding of IEC 62304 would really set your application apart! What Next? If you're a more »
Well-established systematic hedge fund is looking for a new Python Quantitative Developer to join their Trading Technology Team in London. This is a front office role and a combination of software/core development and some maths/quant more »
Python and MLOps Developer - London - Hybrid My client is dedicated to making the world’s intractable data interactable. They address the challenge of sharing essential data needed to solve global problems. Current data infrastructure limitations result in slow, costly, and more »
