looking to change all digital interactions. Due to growing, we are looking to hire a Data Scientist/ML Engineer with experience in Python,(Numpy/Scikit - learn), ML/Azure ML, SQL and ideally you would have a research and development background. Within this role, you will work closely 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 »
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 »
Greater London, England, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions
Data Scientist/Analyst - London - Hybrid - £50,000-£60,000 SQL, Python, Machine Learning, Git, Excel, Pandas, NumPy, Seaborn, Matplotlib Please note: this role does not offer sponsorship, and you must have full right-to-work in the UK to apply (post-study work visa will not be considered). … They are on the lookout for a Data Scientist/Analyst with a financial services background ideally, as well as very strong Python ( Pandas , NumPy etc.), Machine Learning , client - facing skills - does that sound like you? The role involves hybrid working (every Monday and Tuesday in the office and three … or get in touch at tom.hannah@opusrs.com. Data Scientist/Analyst - London - Hybrid - £50,000-£60,000 SQL, Python, Machine Learning, Git, Excel, Pandas, NumPy, Seaborn, Matplotlib 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 »
Wealth Management environment. Systems/Internal Processes Familiarity with programming languages such as Python, R or Java and with data analysis libraries (e.g. Pandas, NumPy, scikit-learn). Understanding of database technologies (ETL) and SQL proficiency for data manipulation, data mining and querying. Knowledge of Big Data Tools (Spark or more »
/Computer Science Academic background 3-5 years of experience with Python (writing and managing code releases) Familiarity with numerical Python libraries, e.g. Pandas, Numpy Firm understanding of version control, testing, and continuous integration Understanding and appreciation for best practices Experience working with SQL databases and Sqlalchemy desired We encourage more »
solutions through architecting and deploying AWS-based systems, and constructing ETL pipelines entirely from scratch. Requirements: 5 years+ commercial experience with Object Oriented Python - Numpy, Pandas, Matplotlib Strong knowledge of AWS Knowledge of SQL Ambitious get up and go mind set Strong communication skills STEM degree (Computer Science degree preferred more »
financial markets Solid understanding of financial markets and products – ideally equities Strong Python skills including data analysis libraries and visualisation tools (Matplotlib, ploty, pandas, numpy) Strong understanding of software development lifecycle and practices including CI/CD Degree or Masters in Engineering, Computer Science, Mathematics or related This is a more »
London, England, United Kingdom Hybrid / WFH Options
Harnham
to the continual improvement of their performance. REQUIRED SKILLS AND EXPERIENCE Proficiency in Python, including its associated data and machine learning packages such as numpy, pandas, pyspark, matplotlib, scikit-learn, Keras, TensorFlow, and more. Experience working with object-oriented programming languages. Experience in Forecasting and propensity. Expertise in utilizing SQL more »
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 employer more »
range: £50,000-£70,000 + 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 more »
green field solutions to take to market.Key Responsibilities:Working on various technology stacks including JS, TS, SQL, PowerApps, GenAI, Python sols including ML components (NumPY, MatLib, PlotLy etc)Create and maintain scalable, optimized code.Lead team members to develop functional web applications.Participate in the entire application lifecycle, focusing on coding, debugging more »
for machine learning systems. Requirements: 3+ years’ experience building and deploying machine learning systems. Expert in Python. Knowledge of common ML libraries like Pandas, NumPy and Scikit-Learn. Experience with ML workflow orchestration tools (Kubeflow, MLFlow, Airflow etc). Experience with Vertex AI Understanding of CI/CD pipelines and 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 »
decisions. Stay abreast of industry trends and incorporate new technologies to enhance existing systems. Qualifications: Strong proficiency in Python and experience with relevant libraries (NumPy, pandas, etc.). Solid understanding of quantitative finance concepts and familiarity with financial instruments. Experience working in a hedge fund or similar quantitative environment is 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 »
version control. Additionally, you demonstrate proficiency in Git, Unix, and pytest. You're familiar with popular Python data mining and wrangling libraries, including pandas, numpy, sklearn, pytorch, langchain, llamaindex, bedrock, sagemaker, huggingface, mlflow, gradio, Flask, FastAPI, SQLAlchemy, psycopg2, boto3, gunicorn, pytest, and scrapy Experience with cloud services like Microsoft Azure more »
appropriate and ensuring best practices and understood and followed. Technical Skills and Qualifications Expert knowledge in python including libraries/frameworks such as pandas, numpy, pyspark Good understanding of OOP, software design patterns, and SOLID principles Good experience in Docker Good experience in Linux Good experience in Airflow Good knowledge more »
instruments Build order execution and order management improvements Improve and refine back office systems Requirements: Strong Python coding skills with experience in Pandas and Numpy BSc in CompSci or similar STEM subject Strong version control, testing and continuous integration. Good SQL Skills. For more information, please can you apply with 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 »
super/unsupervised learning, feature engineering, etc.). Strong experience with Python required understanding of the ML/DS frameworks (XGBoost, Scikit-learn, Pandas, Numpy, etc.), and modular/modern OOP software design practices with a modern ML/Data/Cloud engineering technical stack If you’re interested in 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 »
of experience developing AI-based products Experience of developing using Computer Vision 3+ years of experience implementing and/or architecting MLOps solutions Python (NumPy, PyTorch, Pandas, etc.), Demonstrable leadership experience in managing a team of 4+ individuals Experience of working within a start-up would be beneficial but not more »
