field. • 8+ years of experience as a Data Engineer or in a similar role. • Strong proficiency in Python and experience with relevant libraries (e.g., pandas, numpy). • Extensive experience with ETL tools and processes. • Familiarity with data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). • Proficient in SQL and more »
field. 5+ years of experience as a Data Engineer or in a similar role. Strong proficiency in Python and experience with relevant libraries (e.g., pandas, numpy). Extensive experience with ETL tools and processes. Familiarity with data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). Proficient in SQL and more »
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 electronic more »
GIS and AI. Strong programming skills in Python and demonstrated experience with ESRI products like ArcGIS. Experience with data-centric Python libraries such as Pandas and GeoPandas for data analysis and geospatial data manipulation. Advanced AI and computer vision expertise, with practical knowledge in using C++, TensorFlow, PyTorch, and OpenCV more »
. Database querying, load, update, and transformation using SQL . Substantial experience with using Python to analyse data using standard analytical libraries such as Pandas and, ideally, with building web apps using Flask . Experience with modern data visualisation platforms , ideally Tableau. Track record of continuous learning and innovative thinking. more »
Influencer 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 »
make a tangible impact in our organization. What experience you’ll need to apply: Solid Python skills with exposure to libraries such as NumPy, PANDAS, spaCy, HuggingFace. Exposure to SQL Experience working in start-up/scale up businesses or small teams. Data visualization experience with either Tableau, Looker or 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 »
to add experts to the machine learning team! The best-matched machine learning engineer will have the following experience and abilities: Tech: Python (ScikitLearn, Pandas, Numpy, Scipy) and GCP Hybrid working in London, 3 days a week in the office Desirable: experience mentoring junior team members and reviewing code Must more »
City Of London, England, United Kingdom Hybrid / WFH Options
RJC Group
AWS experience Data access methods (SQL, GraphQL, APIs) Beneficial Requirements Experience around data science tools and algorithms Manipulation technologies (e.g., WebSockets, Kafka, Spark) TensorFlow, Pandas, pySpark and scikit-learn would be great Salary up to £75K + 20% bonus and benefits package We have interview slots lined up for later more »
and 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 more »
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 programming skills more »
in 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 more »
Mathematics, Statistics, or a related field, with a strong academic track record Exceptional problem-solving and analytical abilities Proficiency in Python, particularly with the pandas library Strong communication and collaboration skills A proactive attitude towards learning and development Desirable: Experience with SQL for data manipulation Familiarity with time series modeling more »
Greater London, England, United Kingdom Hybrid / WFH Options
Elliott Wood
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 Sofistik. more »
Regression, Random Forest, XGBoost) and modern deep learning algorithms (e.g., BERT, LSTM). Strong knowledge of SQL and Python's data analysis ecosystem (Jupyter, Pandas, Scikit-Learn, Matplotlib). Advanced Techniques : Familiarity with ensemble methods like bagging and boosting. Understanding of model evaluation, data pre-processing techniques (standardisation, normalisation, handling more »
series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science libraries, such as Pandas, TensorFlow, Scikit-learn etc. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources for improved 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 »
in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Exceptional communication skills, able to engage confidently with non-technical stakeholders Experience resolving operational more »
level Data Scientist Solid knowledge of Data Engineering principles, including productionisation Technical experience with some or all of the following: Python, PySpark, scikit-learn, pandas, Azure Data Services, Databricks. If this sounds of interest, please apply. more »
+ benefits Purpose: Design, build, and maintain scalable data architectures, including pipelines and cloud-based data warehouses. Tech: Python (NumPy, Pandas), SQL, ETL, Cloud (AWS, Azure or GCP), Snowflake, Airflow, BigQuery, PowerBI/Tableau Industry: Fintech, Maritime trading Immersum are supporting the growth of a specialist consultancy who solely specialise … machine learning deployments, financial benchmark production, and internal auditing of data quality and integrity. The Tech: Python: Strong proficiency, including experience with libraries like Pandas and NumPy. SQL: Advanced skills in complex querying and data manipulation. Data Modelling: Proven ability in designing efficient models for scalability and performance. ETL Processes more »
Python Application Developer Industries: Energy/Oil & Gas/Financial Services/Commodities/Trading Location: London Job Type: Full-Time Salary: Up to £120,000 base salary + benefits/bonus The Role: We're delighted to have partnered more »
Python Developer - Middle and Back Office - Commodity Trading - £90,000 - 3 days per week in Office Cititec Talent are currently working with a global commodities trading company that has been a pioneer in the industry and has grown from a 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 »
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 »
