151 to 175 of 191 Remote scikit-learn Jobs

solutions are more effective. Team player who loves working within a multidisciplinary team. Experience Strong proficiency in Python and Data Science libraries like scikit-learn or equivalent. Experience with SQL/Databricks for data exploration. Ability to explain data science concepts and solutions to broad audiences. Proven record More ❯

quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark More ❯

Grow with us. We are looking for a Machine Learning Engineer to work along the end-to-end ML lifecycle, alongside our existing Product & Engineering team. About Trudenty: The Trudenty Trust Network provides personalised consumer fraud risk intelligence for fraud More ❯

Grow with us. We are looking for a Machine Learning Engineer to work along the end-to-end ML lifecycle, alongside our existing Product & Engineering team. About Trudenty: The Trudenty Trust Network provides personalised consumer fraud risk intelligence for fraud More ❯

DATA SCIENCE GRADUATE ABOUT US Every day, we push beyond expectations to help millions of people save money, at a time when it's never mattered more. Through MoneySuperMarket, MoneySavingExpert, Quidco and our B2B partnerships we supply products to more More ❯

services. Solid understanding of open banking, bank transaction data, or personal finance categorisation. Hands-on experience with Python (and relevant libraries such as scikit-learn, pandas, spaCy, or similar) and SQL. Experience working with raw, messy transactional data and transforming it into structured outputs. Strong background in model More ❯

Experience in data science , ideally in climate, geospatial, or catastrophe risk Proficiency in Python , R , or similar, with experience using libraries e.g., pandas, scikit-learn Experience with climate models (e.g., CMIP6, ERA5) or catastrophe models is a strong plus Degree in a quantitative field: data science, climatology, environmental More ❯

Experience in data science , ideally in climate, geospatial, or catastrophe risk Proficiency in Python , R , or similar, with experience using libraries e.g. pandas, scikit-learn Experience with climate models (e.g. CMIP6, ERA5) or catastrophe models is a strong plus Degree in a quantitative field: data science, climatology, environmental More ❯

similar projects Solid background delivering AI/ML projects end-to-end, with real business impact Hands-on Python skills including libraries like Scikit-learn, TensorFlow, Keras, and PySpark Strong understanding of model deployment and MLOps best practices Ability to work with real-world, unbalanced and messy datasets More ❯

similar projects Solid background delivering AI/ML projects end-to-end, with real business impact Hands-on Python skills including libraries like Scikit-learn, TensorFlow, Keras, and PySpark Strong understanding of model deployment and MLOps best practices Ability to work with real-world, unbalanced and messy datasets More ❯

applied AI, with hands-on experience in model development, evaluation, and deployment. Proficiency with relevant ML libraries and frameworks such as PyTorch, TensorFlow, scikit-learn, HuggingFace or similar. Experience with modern ML tooling, such as MLflow, Jupyter, feature stores, and vector databases. Understanding of software engineering best practices More ❯

quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark More ❯

quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark More ❯

quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark More ❯

5+ years of professional work experience. Compensaton: $117,800 - $184,100 Experience using ML and data science packages such as PyTorch, TensorFlow, or scikit-learn Experience leveraging open-source models and adapting them to generate custom solutions Able to work on-site in Chantilly, VA ACTIVE Top Secret More ❯

Are you a seasoned Data Scientist eager to collaborate with a team of top-tier innovators, tackling diverse products across various industries? If so, Nexaphaze could be the perfect fit for you. We're seeking an experienced Data Scientist to More ❯

Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse … transformer-based models and deploying them in scalable systems. Technical Expertise: Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, Scikit-Learn, Spacy or other. Experienced in natural language processing and modern LLM based techniques. Experience with full ML lifecycle, data preprocessing, training, evaluation stages More ❯

Job Title: Data Scientist Location: Remote with c. Quarterly travel to team events Salary: Competitive/Dependent on Experience Data Scientist (open to Data Scientists, Senior Data Scientists, and Lead/Principal Data Scientists) Insurance is a dynamic industry, offering More ❯

Job Title: Data Scientist Location: Remote with c. Quarterly travel to team events Salary: Competitive/Dependent on Experience Data Scientist (open to Data Scientists, Senior Data Scientists, and Lead/Principal Data Scientists) Insurance is a dynamic industry, offering More ❯

The AI Engineer is a key role in the Data Platform Portfolio team, building the data platform, driving value from data across the business. With strong technical skills and business acumen to help turn millions of potential data points into More ❯

The AI Engineer is a key role in the Data Platform Portfolio team, building the data platform, driving value from data across the business. With strong technical skills and business acumen to help turn millions of potential data points into More ❯

Machine Learning Engineer About Us Climate X is a purpose-driven technology company, backed by GV (Google Ventures), Western Technologies (early investors in Meta, Google, Palantir), Commerz Ventures, Pale Blue Dot, Deloitte, and other world-class investors. We're a More ❯

Social network you want to login/join with: BrainStation is a global leader in digital skills training and development, offering a 12-week bootcamp program in Data Science. BrainStation is currently hiring a Data Science professional to teach our More ❯

designing optimal AI solutions. Develop and deploy AI models for visual data analysis and inference using Python and C++, OpenVINO, OpenCV, AWS, CVAT, scikit-learn, and scipy. Collaborate with our data scientists and domain experts to understand project requirements and design optimised AI solutions. Preprocess and analyse visual … data using OpenCV, scikit-learn, and scipy to extract meaningful insights. Train and fine-tune AI models using TensorFlow/Keras, PyTorch, PaddlePaddle, and other relevant frameworks to achieve high accuracy. Optimize AI models using OpenVINO for efficient inference on edge devices and cloud platforms. Implement data pipelines … AI Engineer or similar roles. Strong proficiency in Python/C++ for AI model development and inference. Experience with OpenVINO, OpenCV, AWS, CVAT, scikit-learn, and scipy for visual AI applications. Proficiency in TensorFlow/Keras, PyTorch, and PaddlePaddle for model training and optimisation. Strong analytical and problem More ❯

As a Data Scientist, you will develop sophisticated algorithms and predictive models, leveraging a broad spectrum of techniques from mathematical and statistical methods to advanced machine learning approaches. You will be working alongside DevOps and software development teams to ensure More ❯