machine learning for marketing analytics, including MMM or econometrics. Track record of creating products for marketing teams or stakeholders. Proficiency in SQL, Python (pandas, NumPy, scikit-learn), and translating technical insights. Experience with A/B testing, segmentation analysis, and propensity modelling. Strong communication skills for creating user-friendly solutions more »
Experience in deploying production ML systems. - Familiarity with DevOps in a data science context (e.g., MLOps) is a plus. Tools currently being used; - Python3, Numpy, Scipy, Xgboost - CI/CD: GitHub Actions, Jenkins, Docker - MLOps: DVC, MLflow - BI: Terraform, Airflow, BigQuery - LLMs: GPT, Claude And this is what you'll more »
uses our own image recognition algorithm to instantly find things in the digital soup that is construction industry PDFs. It's built with Python (numpy), Postgres and React and has interesting backend scaling challenges due to the large amount of data we need on every request. For our most recent more »
a Data Scientist, with a strong focus on machine learning and time series forecasting. Expertise in Python and its data science libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch). Solid understanding of ML and data pipeline architectures and best practices. Experience with big data technologies and distributed computing (e.g. 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 »
to solve business-relevant problems and communicating complex concepts and methods to audiences with diverse technical backgrounds. High fluency with the Python data stack (numpy, pandas, scikit-learn, etc). Experience in collaborative data product development and peer code review, including version control tools like git. Experience developing, releasing, and more »
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: Experience building machine learning models from scratch more »
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 have more »
Must haves: Looking for a junior Python developer with a few years of professional experience. Proficiency in Python Ideally in data science libraries like NumPy, Pandas etc. Application building experience (multi-processing, API dev etc.) – not just data analysis Competency in SQL Some (but any) cloud experience Strong communication skills more »
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 have more »
publications. Strong 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 more »
commitment. Opportunity to collaborate with industry-leading experts. What You’ll Be Doing Developing and implementing optimisation models using Python. Utilising libraries such as NumPy, SciPy, Pandas, and specialised optimisation libraries like Gurobi. Applying mathematical optimisation techniques to solve complex problems. Formulating and solving Mixed Integer Programming (MIP) and Linear more »
Birmingham, England, United Kingdom Hybrid / WFH Options
Digital Waffle
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 Learning more »
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 Learning more »
Oracle data warehouse tech) - Developing and enhancing ETL/ELT and data integration solutions using Oracle tools (ODI) - Dimensional modelling. - Python/Spark libraries (numPy, Plotly) - Knowledge of Snowflake and JSON manipulation in Snowflake. - Some knowledge of AWS services. Salary: Offering up to £75,000 DOE What next? There are more »
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 deep more »
/ML - About You: Top academics in a relevant field (Computer Science, Statistics, Mathematics) Strong command of Python and its data analysis libraries (e.g., numpy, scipy) Proven expertise in Python-based machine learning, optimization, and process mining Knowledgeable about MLOps principles, CI/CD, model versioning, monitoring, and deployment Competent 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 »
related 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 experience with relational databases more »
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 experience more »
Birmingham, Dickens Heath, West Midlands (County), United Kingdom Hybrid / WFH Options
Big Red Recruitment Midlands Limited
Hybrid – once a fortnight ideally. What we want from you. A minimum of one year of experience Python coding expeirence Experience in libraries like NumPy, SciPy, and Pandas Experience with deep learning frameworks such as PyTorch and TensorFlow Experience using GIT, or other codebases. Dat Science or Mathematics degree would more »
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 experience more »
Washington, Tyne and Wear, North East, United Kingdom
Baltic Recruitment Services Ltd
other duties as covered by your contract of employment Data Engineer Applicants: Essential: Microsoft Azure Stack (specifically Data Factory, Data Lake, Databricks) Python (Pandas, NumPy) SQL Microsoft Power Platform Knowledge and experience of a formal project management methodology A high degree of computer literacy Project planning ability Ability to adapt more »
You Need to Succeed: Python Developer - Required: Proficient in Python (at least 1 year working in a professional setting) with experience in libraries like NumPy, SciPy, and Pandas Experience with deep learning frameworks such as PyTorch and TensorFlow Ability to write maintainable and efficient code under deadlines Proficiency in Git more »
tools: You have a very good command of R, Python, VBA… and the different Data Science libraries and frameworks (e.g., TensorFlow, scikit-learn, pandas, NumPy). Collaborative spirit: You like to work collaboratively in a team-orientated environment. Methodological approach: You are organised, structured in your working methods and enjoy more »
