knowledge of general financial products and derivatives. Understanding of market microstructure. Strong skills in Excel and Python, SQL and time-series databases. Experience with Pandas, NumPy, Matlab , R or other mathematical/statistical languages/packages. Excellent communication skills, both written and spoken . ? CMC Markets is an equal opportunities more »
West London, London, United Kingdom Hybrid / WFH Options
Client Server
informed decisions. As a Python Software Engineer/Developer you'll focus on backend development of complex, data centric systems, working with Python, NumPy, Pandas, SQL and AWS Lambdas. You'll be collaborating within a product focussed team to build new features and enhancements to enable better scalability as they … days at home. About you: You are a backend Python focussed software engineer You have a good knowledge of data, including experience with NumPy, Pandas and SQL You have experience with concurrency and asynchronous programming You are curious, inquisitive, quick to learn You have a strong knowledge of Computer Science more »
Nottingham, Nottinghamshire, East Midlands, United Kingdom
Experian Ltd
Lambda, Redshift, DynamoDB, Glue and SageMaker Infrastructure-as-Code tools and approaches (we use the AWS CDK with CloudFormation) Data processing frameworks such as pandas, Spark and PySpark Machine learning concepts like model training, model registry, model deployment and monitoring Development and CI/CD tools (we use GitHub, CodePipeline more »
in machine learning for marketing analytics, including MMM or econometrics. Track record of creating products for marketing teams or stakeholders. Proficiency in SQL, Python (pandas, NumPy, scikit-learn), and translating technical insights. Experience with A/B testing, segmentation analysis, and propensity modelling. Strong communication skills for creating user-friendly more »
Saffron Walden, Essex, South East, United Kingdom Hybrid / WFH Options
EMBL-EBI
respective expertise and requirements. You have A BSc or MSc in computer science or related fields. Expertise in Python, including popular Python libraries: NumPy, Pandas, PySpark and frameworks: Django, Django Rest Framework, FastAPI Hands-on experience with both relational (e.g. PostgreSQL) and non-relational databases (e.g. Elasticsearch, Redis). Strong more »
a substantial public sector implementation of IT solutions and systems, facilitating the development of tailored software. Tech Stack: Python Java JavaScript React (Desirable) Docker Pandas Flask Tkinter Go Gradle SQL Linux Bash Shell Scripting go gin This is a very brief outline of the role, and a full job description more »
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 pioneering devices that … 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 Python more »
Equities, Fixed Income, Futures and Options, and their respective market microstructures Superb programming skills inc. Python expertise inc. expert understanding of the scientific stack (Pandas, NumPy, SciPy), and knowledge of advanced concepts inc. multiprocessing and asyncio , plus some exposure to high performance languages such as Golang, C++, C# Expert understanding more »
Architecting and implementing high-performance Python-based solutions to support our multi-strategy trading platform, leveraging cutting-edge libraries and frameworks such as NumPy, pandas, TensorFlow, and PyTorch. Collaborating closely with quantitative analysts and traders to develop and deploy sophisticated algorithmic trading strategies, utilizing advanced mathematical models and machine learning more »
Apache Airflow Skills years of experience in python scripting. in developing applications in Python language. to python-oriented Algorithm’s libraries such as NumPy, pandas, beautiful soup, Selenium, pdfplumber, Requests etc. in SQL programming, Postgres SQL. knowledge on unit testing using PyTest on DevOps like CI/CD, Jenkins, Git. more »
with the following experience: Experience building enterprise systems in Python with a high level of Python fluency (mandatory) Core Python (mandatory) (mandatory) SQL (mandatory) Pandas, NumPy, SciPy etc (preferred) Cloud experience (preferred) TDD (mandatory) Experience writing clean, maintainable code (mandatory) Front office experience (preferred) This is an initial 6 month more »
with traders/technologists to aggregate large data data sets and make conclusions with said data for the investment team. Tech: Python, SQL, AWS, Pandas, Numpy, C# etc Best applicants will have 2-5 years experience, be able to work with Bloomberg/Reuters data ecosystems, come from a top more »
required for this Senior Python Software Engineer position? MSc/PhD in a STEM discipline Strong Python development proficiency Experience with Python libraries - NumPy, Pandas, Polars etc Bonus: Knowledge of financial markets or quantitative finance concepts If you are a Senior Python Software Engineer and you are looking to join more »
Utilize 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 more »
for improvement. Qualifications Maths/Computer Science/Engineering Masters or PhD from a top-ranked institution Experience with common Python libraries: NumPy, SciPy, Pandas, SQLite etc A firm grasp of advanced undergraduate maths degree topics, in particular - Linear Algebra, Complex numbers, Optimisation theory, Machine learning Experience or demonstrable interest more »
for improvement to implement practical solutions. Key Requirements Background in Python Development from an engineering or development environment Experience with Airflow, Cloud (AWS) and Pandasmore »
implementation of systematic strategies in production, build tools to monitor strategies, build research infrastructure - with a heavy focus on data engineering. Tech stack: Python, Pandas, AWS, Kafka Requirements: Bachelors or Masters in an engineering or quantitative subject Strong Python production coding skills (deployed to AWS) Strong data engineering skills (e.g. more »
Python Experience using front-office pricing libraries Comfortable with relational and timeseries databases Exposure to distributed systems and messaging (e.g. Kafka) Comfortable with Numpy, Pandas and Jupyter Highly self-motivated, willing to take initiative and make technical decisions more »
degree in Computer 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 more »
Ability to create and implement both logical and physical data models. Mapping Specifications : Competence in creating detailed mapping specifications. Python : Knowledge of Python, particularly Pandas, for data analysis. Looker Core/LookML : Experience with Looker Core or LookML (not Looker Studio). User Acceptance Testing (UAT) : Proficiency in planning and more »
and MSCI Significant experience with building robust data-oriented solutions in Python, including web apps Experience with modern data tools, ideally Tableau, Jupyter Notebooks, Pandas and Python visualisation libraries Exposure to machine learning approaches such as neural networks, NLP, generative AI desirable Experience working at an investment management company Experience more »
do for insurers, you don’t have to be an actuary though! You’re happy working in Python, ideally you have significant experience using Pandas in Python. Experience using R and R’sTidyverse packages would be beneficial but is not essential Track record of applying statistical and machine learning techniques more »
Senior Data Scientist - Hybrid (2 day p/w) - London - Permanent NLP/LLM, Python (Pandas, PyTorch), Machine Learning, Research, Marketing £70,000-£90,000 salary ***Please note this role does not offer sponsorship, and you must be based in London to apply*** An exciting AI content platform are in … deep learning , NLP , and LLMs Expert ability with ML/MLOps Experience mentoring/up-skilling more junior team members. Strengths in SQL , Python ( Pandas , Scikit - Learn , PyTorch ) PhD -level education and experience within Marketing is preferred. Experience in an academic/research background. If you think this opportunity could … please apply below and I'll be in touch! Senior Data Scientist - Hybrid (2 day p/w) - London - Permanent NLP/LLM, Python (Pandas, PyTorch), Machine Learning, Research, Marketing £70,000-£90,000 salary more »
Clerkenwell, England, United Kingdom Hybrid / WFH Options
Sanderson Recruitment Careers
Engineer, key skills: Significant experience working as a Data Scientist/Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). GCP experience is desirable (developing GCP machine learning services) Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling … the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Machine Learning Engineer, Data Scientist, Python, Pandas, GCP AMRT1_UKTJ ... more »
