demonstrated by a history of identifying and implementing automation opportunities. Experience working with a variety of data storage and manipulation tools such as SQL, Pandas, Elasticsearch & Kibana, Snowflake. Ability to recognize patterns and establish standards to streamline development and enhance reliability. Excellent interpersonal skills, enabling positive and collaborative relationships with more »
and container orchestration environments – Kubernetes preferred Experience working with Machine Learning technologies and methodologies – PyTorch, Tensorflow etc Experience with Python packages for data manipulation – Pandas, Numpy Salary for this role is up to £75,000, plus bonus, fantastic benefits and the opportunity to be part of and learn from a more »
microstructure experience would be very beneficial. Proficiency in programming languages such as C++, Python or MATLAB along with experience in data analysis libraries (e.g., pandas, NumPy) and version control systems (e.g., Git). Familiarity with low-latency trading systems, high-performance computing, and algorithmic trading strategies. Strong academic background in more »
and productionalize containerized algos for deployment in hybrid cloud environments (GCP, Azure) Connect and blend data from various data sources within enterprise tools (python, pandas, or SQL) to enable application of Data Science methods Create metrics and analytical reports to ensure data quality and business value. Clean, structure and normalize more »
Python and SQL. Cloud technologies, ideally AWS. Columnar database, ideally Redshift. ETL and related practices. Excellent communication skills. Other technologies such as Kubernetes, Terraform, Pandas, EMR. Must be fully eligible to work in the UK, cannot offer sponsorship. more »
Swaptions, XCCY swaps. Government Bonds & Bond Futures. FX – Linear and Vanilla. Data Strategy Engineer Tech Stack: A minimum of 1.5 years experience using Python (pandas, numpy, requests etc). Excel. Databases: an understanding of SQL and NoSQL databases (postgress, mongo). REST API. Bloomberg API (Excel and python). Data more »
Birmingham, England, United Kingdom Hybrid / WFH Options
Lorien
experience of this is a strong preference. However other Cloud platforms like AWS/GCP are acceptable. • Coding Languages - Experience using Python with data (Pandas, PySpark) would be an advantage. Other languages such as C# would be beneficial but not essential. Their lovely offices are based in the West Midlands more »
will collaborate closely with cross-functional teams to design, implement, and optimize Python-based applications, with a particular emphasis on utilizing Airflow and also pandas for efficient data manipulation and analytics. This role offers an exciting opportunity to contribute to the transformation of their business through the application of innovative … technical solutions. Working with Product team to integrate financial products of external clients, manage data flows, source market data and analyse financial algorithms. Utilize Pandas for data processing, transformation, and analysis tasks, ensuring high performance and accuracy. Implement data pipelines for ingesting, cleansing, and transforming large volumes of structured and … identify areas for improvement, and implement best practices to ensure code quality and maintainability. Stay updated on emerging trends and technologies in Python, Airflow, pandas, and data engineering, and incorporate them into our development practices. Qualifications Proven experience as a Python Developer, with a strong focus on data processing and more »
multi-layered "location" data. The Tools You'll Be Using: You'll be working in a cloud-first Google Cloud Platform environment. Using Python (Pandas) for Data Manipulation. Leveraging Python further for ML-based algorithms. The Experience You Need: You will bring 2-3 years of experience as a Data more »
to-sequence models, and attention mechanism, transformer technologies etc.) Experience in deploying NLP pipelines to production Python experience including data science libraries (scikit-learn, pandas, NumPy) and deep learning frameworks (Tensorflow, Pytorch) Desirable Experience with virtual agent platforms such as IBM Watson or DialogFlow Team leading experience Proven experience in 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 »
React Conatinerisation and IaaC: Docker, Terraform Databases: PostgreSQL, TimescaleDB & NoSQL Databases At least one major cloud platform (GCP Preferred) Familiarity with Python including NumPy, Pandas The Company A well backed start up who bring together huge experience within their space and are delivering a game changing platform within the Green more »
Required Experience: 4+ year's commercial experience in a similar role, Data Engineer, ML Engineer, etc Extensive commercial experience with Python and relevant ecosystem; Pandas, Tensorflow, etc Commercial experience delivering AI/Machine Learning algorithms Commercial experience with cloud computing platforms - GCP or AWS ideally Comfortable working in cross functional more »
have? As our Senior Data Scientist you will have: least 4 years experience in Statistics and Machine Learning with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) least 3 years Python programming experience applying models to Big Data with the principles of Continuous Integration and Deployment (CI/CD) with more »
Borehamwood, England, United Kingdom Hybrid / WFH Options
Addition+
in scripting, batch processing, and stream processing. Experience with or at least an interest in Machine Learning and widely used technologies, such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and PyTorch. Knowledgeable about key MLOps concepts such as CI (including data aspects), CD (specific to ML), CT (Continuous Training), feature 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 »
Birmingham, England, United Kingdom Hybrid / WFH Options
Lorien
and experience of this is a strong preference. However other Cloud platFforms like AWS/GCP are acceptable. Coding - Experience using Python with data (Pandas, PySpark) would be an advantage. Other languages such as C# would be beneficial but not essential. What’s next? If you believe you have the more »
candidate should have the majority of the following: Bachelor's degree in Computer Science, Engineering, or a related field. Strong Python development. Experience with Pandas is desirable. 3+ years of experience in data engineering. Experienced in building ETL data pipelines. Relational database experience w/PostgreSQL. Understanding of tech within more »
Have a Bachelor's or Master's degree in Computer Science or related field. 3+ years of data engineering experience with strong Python (including Pandas) skills. Strong proficiency in Object-Oriented Programming. Have strong problem-solving and communication skills. Experience working in Commodities, Trading or Financial Services markets. For more 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 »
algorithm development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or PyTorch. Familiarity with financial markets, trading instruments, and market microstructure. more »
in a related field (e.g., Data Science, Statistics, Geographic Information Systems, Geography, Mathematics, International Affairs, etc.) Experience with Python, including relevant libraries such as Pandas, SciPy, Geopandas, Dask, and/or Spatialpandas. Strong understanding of spatial data and analytics Must hold a current TS clearance and be willing and able more »
experience with software design and development methodologies PREFERRED QUALIFICATIONS Technical knowledge and experience with any of the following: gRPC, Python, C++, C#, Jupyter Notebooks, Pandas, NumPy, continuous integration/continuous deployment. Technical knowledge and experience with CUDA or OpenGL. Experience in a large-scale commercial software development environment Good communication more »
experience with software design and development methodologies PREFERRED QUALIFICATIONS Technical knowledge and experience with any of the following: gRPC, Python, C++, C#, Jupyter Notebooks, Pandas, NumPy, continuous integration/continuous deployment. Technical knowledge and experience with CUDA or OpenGL. Experience in a large-scale commercial software development environment Good communication more »
