626 to 650 of 1,480 Remote Python Jobs

with data. Knowledge of financial statements, credit metrics, or counterparty risk. Excellent communication skills and a collaborative mindset. Desirable skills: Exposure to crypto, blockchain, or fintech. Experience with SQL, Python, or other data analysis tools. Familiarity with wholesale markets or institutional counterparties. Why Apply? Be part of a fast-growing fintech that’s shaping the future of institutional digital assets. More ❯

with data. Knowledge of financial statements, credit metrics, or counterparty risk. Excellent communication skills and a collaborative mindset. Desirable skills: Exposure to crypto, blockchain, or fintech. Experience with SQL, Python, or other data analysis tools. Familiarity with wholesale markets or institutional counterparties. Why Apply? Be part of a fast-growing fintech that’s shaping the future of institutional digital assets. More ❯

with data. Knowledge of financial statements, credit metrics, or counterparty risk. Excellent communication skills and a collaborative mindset. Desirable skills: Exposure to crypto, blockchain, or fintech. Experience with SQL, Python, or other data analysis tools. Familiarity with wholesale markets or institutional counterparties. Why Apply? Be part of a fast-growing fintech that’s shaping the future of institutional digital assets. More ❯

AI/ML Expertise: Strong understanding of LLMs, NLP, and AI-driven recommendations. Technical Leadership: Experience in AI product scalability, DevOps, and cloud architecture. Backend & Data Skills: Proficiency in Python, Node.js, PostgreSQL, MongoDB, API security. AI Model Deployment: MLOps, scaling, data engineering, and AI ethics awareness. Strategic Mindset: Ability to align technology with business objectives and cost efficiency. Security & Compliance More ❯

strong knowledge of AI and LLMs, including a deep understanding of prompts You have an innovative mindset You can read and understand at least one OO programming language (e.g. Python, C#, SQL, C++) You have experience with documentation tools such as Markdown, LaTeX, Confluence, JIRA or Git-based workflows You're collaborative and pragmatic with excellent written and verbal communication More ❯

applications. Technical Skills: Knowledge of tools like Dialogflow, Microsoft Bot Framework, Rasa, and Amazon Lex. Knowledge with libraries such as spaCy, NLTK, and Hugging Face Transformers. Practical experience with Python, REST APIs, and dialog model training data preparation. Excellent ability to present complex AI concepts clearly and engagingly. Problem-solving: Skilled in addressing learner questions and providing solutions during training More ❯

applications. Technical Skills: Knowledge of tools like Dialogflow, Microsoft Bot Framework, Rasa, and Amazon Lex. Knowledge with libraries such as spaCy, NLTK, and Hugging Face Transformers. Practical experience with Python, REST APIs, and dialog model training data preparation. Excellent ability to present complex AI concepts clearly and engagingly. Problem-solving: Skilled in addressing learner questions and providing solutions during training More ❯

applications. Technical Skills: Knowledge of tools like Dialogflow, Microsoft Bot Framework, Rasa, and Amazon Lex. Knowledge with libraries such as spaCy, NLTK, and Hugging Face Transformers. Practical experience with Python, REST APIs, and dialog model training data preparation. Excellent ability to present complex AI concepts clearly and engagingly. Problem-solving: Skilled in addressing learner questions and providing solutions during training More ❯

applications. Technical Skills: Knowledge of tools like Dialogflow, Microsoft Bot Framework, Rasa, and Amazon Lex. Knowledge with libraries such as spaCy, NLTK, and Hugging Face Transformers. Practical experience with Python, REST APIs, and dialog model training data preparation. Excellent ability to present complex AI concepts clearly and engagingly. Problem-solving: Skilled in addressing learner questions and providing solutions during training More ❯

applications. Technical Skills: Knowledge of tools like Dialogflow, Microsoft Bot Framework, Rasa, and Amazon Lex. Knowledge with libraries such as spaCy, NLTK, and Hugging Face Transformers. Practical experience with Python, REST APIs, and dialog model training data preparation. Excellent ability to present complex AI concepts clearly and engagingly. Problem-solving: Skilled in addressing learner questions and providing solutions during training More ❯

Native Apps, Snowpark, Data Clean Rooms, and CortexProven expertise in optimising Snowflake performance and cost efficiency, with SnowPro Core and Advanced certificationsSkilled in software engineering practices with experience in Python, alongside leading data teams in consulting and enterprise environmentsStrong track record in training and enabling colleagues and clients across the Snowflake ecosystemExperience in design and delivering business solutions on other More ❯

Strong debugging and troubleshooting skills Solid understanding of software lifecycles and development methodologies Strong reviewing and documentation practices Bonus Skills (Desirable, Not Required) Experience with additional languages (e.g. C#, Python, Java, Swift) App development (iOS/Android) Experience with Zephyr, FreeRTOS Development within regulated environments (e.g. medical devices) Wireless communication (e.g. Bluetooth/BLE) Serial communication protocols (USB, SPI, I2C More ❯

youll need strong technical expertise across system development, integrations, database management and programming languages. Youll be able to automate tasks and workflows using scripting languages (e.g., Bash, PowerShell, PowerApps, Python) and integrate different systems, applications, and platforms using APIs, middleware, and data exchange protocols such as REST, SOAP, GraphQL, and JSON. Experience in working with non-technical stakeholders to translate More ❯

someone who combines deep technical expertise with creativity, collaboration, and drive: Deep learning expertise with 2+ years in language generation. Experience with LLMs, neurosymbolic integration, and knowledge representation. Strong Python skills and experience with ML frameworks (PyTorch, HF, TensorFlow, JAX). Demonstrable track record of end-to-end applied research. Excellent communication skills; proven mentoring ability. Collaborative and proactive in More ❯

from start-up to scale-up. The Role: Managing the portfolio and data flow for both internal and external stakeholders Improving our Business Intelligence by developing in SQL and Python Analysing and visualizing data in QuickSight Collaborating with stakeholders to understand business goals and translate them into data services Technical sign-off of communications and regulatory documents Focus on models More ❯

from start-up to scale-up. The Role: Managing the portfolio and data flow for both internal and external stakeholders Improving our Business Intelligence by developing in SQL and Python Analysing and visualizing data in QuickSight Collaborating with stakeholders to understand business goals and translate them into data services Technical sign-off of communications and regulatory documents Focus on models More ❯

from start-up to scale-up. The Role: Managing the portfolio and data flow for both internal and external stakeholders Improving our Business Intelligence by developing in SQL and Python Analysing and visualizing data in QuickSight Collaborating with stakeholders to understand business goals and translate them into data services Technical sign-off of communications and regulatory documents Focus on models More ❯

from start-up to scale-up. The Role: Managing the portfolio and data flow for both internal and external stakeholders Improving our Business Intelligence by developing in SQL and Python Analysing and visualizing data in QuickSight Collaborating with stakeholders to understand business goals and translate them into data services Technical sign-off of communications and regulatory documents Focus on models More ❯

from start-up to scale-up. The Role: Managing the portfolio and data flow for both internal and external stakeholders Improving our Business Intelligence by developing in SQL and Python Analysing and visualizing data in QuickSight Collaborating with stakeholders to understand business goals and translate them into data services Technical sign-off of communications and regulatory documents Focus on models More ❯

the Azure ecosystem (Databricks, Data Factory, Synapse). Understanding of data pipelines; ability to design and manage end-to-end data flows (not necessarily hardcore engineering). Exposure to Python for data manipulation/automation is desirable but not essential. Strong communication and stakeholder engagement skills, with experience translating technical outputs into business value. Previous leadership or mentoring experience is More ❯

the Azure ecosystem (Databricks, Data Factory, Synapse). Understanding of data pipelines; ability to design and manage end-to-end data flows (not necessarily hardcore engineering). Exposure to Python for data manipulation/automation is desirable but not essential. Strong communication and stakeholder engagement skills, with experience translating technical outputs into business value. Previous leadership or mentoring experience is More ❯

the Azure ecosystem (Databricks, Data Factory, Synapse). Understanding of data pipelines; ability to design and manage end-to-end data flows (not necessarily hardcore engineering). Exposure to Python for data manipulation/automation is desirable but not essential. Strong communication and stakeholder engagement skills, with experience translating technical outputs into business value. Previous leadership or mentoring experience is More ❯

e.g. Logistic Regression, Random Forest, XGBoost, etc.), state-of-the-art areas (e.g. NLP, Transfer Learning) and modern Deep Learning algorithms (e.g. BERT, LSTM) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit-Learn, Matplotlib, etc.) Understanding of model evaluation, data pre-processing techniques (standardisation, normalisation, handling missing data) Solid understanding of statistics; hypothesis testing More ❯

Retrieval-Augmented Generation (e.g., LangChain, LlamaIndex, vector databases). LLM fine-tuning techniques (LoRA, PEFT, instruction tuning). Deploying models in production (Triton Inference Server, HuggingFace, Kubernetes). Advanced Python skills; bonus for experience in Go, Java, or C++. Direct experience working with enterprise clients. Solid understanding of embeddings, vector stores, and semantic search. Preferred Qualifications Familiarity with enterprise AI More ❯

Retrieval-Augmented Generation (e.g., LangChain, LlamaIndex, vector databases). LLM fine-tuning techniques (LoRA, PEFT, instruction tuning). Deploying models in production (Triton Inference Server, HuggingFace, Kubernetes). Advanced Python skills; bonus for experience in Go, Java, or C++. Direct experience working with enterprise clients. Solid understanding of embeddings, vector stores, and semantic search. Preferred Qualifications Familiarity with enterprise AI More ❯