Milton Keynes, Buckinghamshire, South East, United Kingdom Hybrid / WFH Options
Dupen Ltd
this exciting new role will see you specifying, designing, developing and testing in Python. ML Learning Engineer the environment: Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch 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 »
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 Attributes: Candidates must have 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 electronic trading protocols.Excellent more »
the data stored in BigQuery to support business Essential Skills: + 4 years of work experience in similar roles Advanced Python Data processing using Pandas Python client for Google BigQuery Advanced SQL (GoogleSQL, MySQL) Google Cloud Services Advanced BigQuery Advanced Google Cloud Storage Google Dataform Google Cloud Function Advanced Apache 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 »
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 »
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 »
in data analysis within an e-commerce or online business context.Commercially minded, thinking about ways to increase revenue & profitability.Proficiency in data manipulation tools (Python, Pandas, Spark, SQL) and data visualization tools (Apache Superset, Tableau, Power BI, ggplot2) and MS Excel.Grasp of pricing strategies, market dynamics, and consumer behaviour in the 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)PostgreSQLGoogle CloudKEY REMIT:Your responsibilities will fall across two areas:Creating algorithms and using existing technology to generate reports and insight more quickly more »
analysis within an e-commerce or online business context. Commercially minded, thinking about ways to increase revenue & profitability. Proficiency in data manipulation tools (Python, Pandas, Spark, SQL) and data visualization tools (Apache Superset, Tableau, Power BI, ggplot2) and MS Excel. Grasp of pricing strategies, market dynamics, and consumer behaviour in more »
developing large language models based on transformer/mamba architectures. Proficiency in Python, NLP libraries (NLTK, SpaCy), Hugging Face Transformers, data science libraries (Numpy, Pandas) and deep learning frameworks (TensorFlow and/or PyTorch). Experience crawling, cleaning, processing unstructured data. Strong background in machine learning algorithms and deep learning 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 »
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 »
using frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in programming languages such as Python and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). Solid understanding of quantitative finance concepts, including asset pricing, risk management, and portfolio optimization. Excellent problem-solving skills and the ability more »
internal teams.Optimize data pipeline tooling, working closely with developers.What You Bring:Proven experience with large spreadsheets/databases (Excel, MySQL).Proficiency in Python (NumPy, pandas, SciPy).Comfort with Linux and command line tools.Meticulous attention to detail and strong interpersonal and communication skills.Bonus Points For:Knowledge of machine learning/AI.Interest more »
data pipeline tooling, working closely with developers. What You Bring: Proven experience with large spreadsheets/databases (Excel, MySQL). Proficiency in Python (NumPy, pandas, SciPy). Comfort with Linux and command line tools. Meticulous attention to detail and strong interpersonal and communication skills. Bonus Points For: Knowledge of machine more »
SQL, working with large and complex data sets to extract insights and identify trendsAdvanced programming skills with Python, including experience with Jupyter notebooks, PyTest, Pandas, SciKit, PyTorch, type-checking, functional programming, CI/CD, and GitA strong background in machine learning for customer and marketing purposes around pricing, promotions, recommendations more »
working with large and complex data sets to extract insights and identify trends Advanced programming skills with Python, including experience with Jupyter notebooks, PyTest, Pandas, SciKit, PyTorch, type-checking, functional programming, CI/CD, and Git A borad background in machine learning for customer and marketing purposes around pricing, promotions 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 »
City of London, London, United Kingdom Hybrid / WFH Options
Adecco
planning by defining and owning the machine learning backlog as well as providing estimates for your work. Minimum Criteria Solid programming experience in Python (Pandas), SQL, NoSQL - TDD Previous experience in building large scale data transformation from structured, un-structured and streaming data sources using Python, SQL Experience in any 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 »
management principles. Experience with quantitative modeling techniques, including statistical analysis, machine learning, and time series analysis. Proficiency in data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib). Excellent problem-solving skills and attention to detail. Prior experience in a quantitative role at a hedge fund, proprietary trading firm, or more »
