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 »
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 »
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 »
experience with Python. Cloud infrastructure is beneficial (Ideally GCP but AWS and Azure is fine). Knowledge of ML libraries (TensorFlow, PyTorch, NumPy, and Pandas etc). Knowledge of Computer Vision. Nice-to-Have Skills or Background: Experience in genomics or bioinformatics research projects in an academic, pharmaceutical, or biotechnology 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 »
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 »
Bristol, England, United Kingdom Hybrid / WFH Options
Adecco
collaboration, and continuous improvement. Apply today and take the next step in your data science career! KEYWORDS: Python/Cyber Reinsurance/Distribution/Pandas/DataBricks/Quantitative Risk Modelling/Monte Carlo/Copular/Probabalistic/Marginal Modeling more »
and to get technical feedback for personal growth.The requirementsEssential:Strong problem-solving skills in probability and statistics.Proficiency with data manipulation and modelling tools — e.g., pandas, statsmodels, R.Experience with scientific computing and tooling — e.g., NumPy, SciPy, R, Matlab, Mathematica, BLAS.Self-driven with the capability to efficiently manage projects end-to-end.Bonus 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 »
environment Exceptional SQL skills including an appreciation for performance tuning on a variety of database engines Data pipeline development experience in Python (especially using pandas, parsing API responses, posting data to API’s etc.) Excellent analytical and problem-solving skills An appreciation for the big picture while delivering short/ more »
years of professional experience as a python software engineer, preferably in the biotech or healthcare industry- Proficiency in broader Python ecosystem Django, NumPy, pandas, scikit-learn, TensorFlow, PyTorch, etc.- Experience in machine learning, data science, and data visualization, using tools such as Jupyter, matplotlib, seaborn, plotly, etc.- Knowledge of web more »
Birmingham, England, United Kingdom Hybrid / WFH Options
Digital Waffle
Science Computer Vision Frameworks used in Machine Learning and Data Science such as TensorFlow, PyTorch, and scikit-learn. Data Science and Visualisation libraries including Pandas, NumPy, scikit-learn, matplotlib, Seaborn. Cloud services used in machine learning and data science, such as Azure, OpenAI, Hugging Face, AWS ML/AI. Machine 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 »
Bayesian inference, Monte Carlo, Random Forest etc. models Experience in data research with strong statistical skills Experience in software design and development using Python, Pandas and SQL/NoSQL Beneficial knowledge of data science packages, sk-learn, scipy, tensorflow, etc. An understanding of the horse racing industry Quantitative Analyst Sports 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 »
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 »
Quantitative Researcher – Sports betting Hedge fund – London/Madrid Skills: Python stack (numpy, pandas etc.), R, TensorFlow. *Please note this role cannot sponsor. Please do not apply if you are seeking sponsorship* Job Summary Quantitative Researcher is required for exciting and progressive Sports betting Hedge fund Company with offices in … Researcher you will need: · 2+years experience in horse racing within sports betting industry · Electronic Trading Experience · Experience in software design and development using Python, Pandas and SQL/NoSQL, TensorFlow · Straight As at A level (or equivalent) · Kaggle profile (or other practical statistical experience) The Opportunity · Opportunities to progress your more »
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 »
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 »
including data integration, modelling, optimisation and data quality Exceptional understanding of Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Databricks, BigQuery Familiar with AWS Step Functions, Airflow, Dagster, or other workflow orchestration tools Commercial experience more »
GCP.Data Models: 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 executing UAT.Data 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 »
Bedford, Bedfordshire, United Kingdom Hybrid / WFH Options
Understanding Recruitment
CD pipelines alongside architecting and managing cloud infrastructure using TerraformWe'd love to see these skills from you:Proficiency in PythonStrong NLP experience - NumPy, Pandas etc.Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelinesExpertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.)MLOps experienceNice to have more »
