2,651 to 2,675 of 4,225 Remote/Hybrid Python Jobs

deploying production AI solutions Strong knowledge of AI, Machine Learning and Large Language Models (LLMs) Experience developing RAG solutions and AI agents Excellent Python skills alongside modern AI/ML frameworks and SDKs Experience with Azure AI services or another enterprise AI cloud platform Strong understanding of Data Engineering concepts ...

paced environment. A degree in a quantitative discipline such as Mathematics, Statistics, Economics, Engineering, Computer Science or a related STEM subject. Desirable experience includes: Python, R or SPSS. Workforce analytics, people analytics or public sector analysis. Exposure to workforce planning, reward, compensation or operational modelling. What They Offer Salary ...

cloud infrastructure and AI engineering.Help define engineering standards and best practices for AI development.Strong commercial experience with TypeScript, Next.js and React.Backend development using Python and modern APIs.Experience building production applications using LLMs or AI services.Knowledge of LangGraph, Loop Harness, MCP or similar agent frameworks.AWS, Docker, Kubernetes and CI/ ...

about risk, can build and deploy models that shape real decisions, and can explain complex findings clearly to senior stakeholders. On the technical side, Python or R, SQL, and experience with modelling techniques like GBMs are important. Fraud analytics experience is a plus, as is data enrichment, though fresh thinking ...

impactful, mission‐critical backend systems The ability to work in fast‐paced, high‐ownership environments Excellence in one or more language (we mostly use Python) Strong discipline in testing and automation Experienced, judicious user of AI coding tools Previous experience managing teams of 5+ engineers An exceptional team player ...

about risk, can build and deploy models that shape real decisions, and can explain complex findings clearly to senior stakeholders. On the technical side, Python or R, SQL, and experience with modelling techniques like GBMs are important. Fraud analytics experience is a plus, as is data enrichment, though fresh thinking ...

credit risk in a fintech or lending environment Hands-on experience building credit scorecards or risk models (application, behavioural, or collections) Proficiency in Python and SQL; experience with ML frameworks (scikit-learn, XGBoost, etc.) Familiarity with Open Banking data, bureau data (Experian, Equifax, TransUnion), or alternative data sources Comfort working ...

about risk, can build and deploy models that shape real decisions, and can explain complex findings clearly to senior stakeholders. On the technical side, Python or R, SQL, and experience with modelling techniques like GBMs are important. Fraud analytics experience is a plus, as is data enrichment, though fresh thinking ...

leadership: you've managed and performance-managed an AI, ML or data science team, with real scope and seniority behind it Strong proficiency in Python, R or C#, plus hands‐on experience with a major cloud platform (AWS, GCP or Azure) A track record of directing third‐party or vendor ...

regulatory and internal policy requirements. What you'll have: You will be highly numerate with a statistical background, with strong expertise in SQL and Python being desirable. We're utilising the Data Science tools in the AWS Stack, so a good understanding of Sagemaker, Bedrock, and AWS Cloud Components would ...

other high-frequency consumer environments. Experimentation and A/B testing experience. Customer, product, or growth analytics experience. Nice to have dbt exposure Python experience Conversational or natural-language analytics exposure What success looks like Within the first 6-12 months you'll: Build trusted relationships across Product, Growth ...

automation and vendor optimisation over linear headcount growth. Familiarity with modern tech stacks (AWS, Kubernetes, CI/CD pipelines) and ability to leverage automation (Python, scripting, or automation platforms) to optimise analyst workflows. High comfort executing as a senior IC on day one, with leadership maturity to transition into ...

join us. What skills, knowledge and experience will you need? Lead criteria: Demonstrable skills and experience in the data transformation space and python programming language with the aptitude to learn/adapt to others. Experience designing, building and maintaining comprehensive, robust, and reliable tests using pytest including driving improvements ...

impactful, mission-critical backend systems The ability to work in fast-paced, high-ownership environments Excellence in one or more language (we mostly use Python) Strong discipline in testing and automation Experienced, judicious user of AI coding tools Previous experience managing teams of 5+ engineers An exceptional team player ...

shape practical, business-aligned solutionsCommunicate technical decisions clearly to technical and non-technical stakeholdersAbout the candidate:Strong hands-on software engineering experience, particularly Python and backend/API developmentProven experience building production-ready systems and practical delivery of LLM/GenAI applications (e.g. RAG, tool use, structured outputs, evaluation)Ability ...

experimentation and performance analysis Mentor and coach other analysts within the wider analytics community What they're looking for Must-haves Strong SQL skills Python experience Product, customer, growth or marketing analytics experience Experience working with experimentation programmes and A/B testing Strong stakeholder management skills Ability to influence ...

knowledge of Windows Server flavours and Wintel hardware Knowledge of network stacks, protocols and technologies. Demonstrative competency in scripting with Powershell and/or Python Experience with Enterprise and open source monitoring tools such as Splunk or New Relic Experience of working with CI/CD tooling such as GitHub ...

OpenAI, Anthropic, Gemini or similar LLM orchestration and tool/function calling RAG and retrieval-based AI Vector databases and embeddings AI workflow automation Python, C# and/or TypeScript APIs and system integration SQL/databases Cloud platforms, particularly Azure Frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen ...

other foundation models, via API or self-hosted Experience with RAG architectures, vector databases, and embedding-based retrieval Solid general-purpose programming (commonly Python) and API design/integration skills Prompt engineering with a systematic, evaluation-driven approach rather than trial and error Familiarity with agentic/orchestration frameworks ...

independently and within a multidisciplinary team.Desirable experience & knowledge:• Experience with White Rabbit, PTP (IEEE 1588), or NTP-based systems.• Good knowledge of Linux, networks, python, docker, gitlab. • Knowledge of PCB design, VHDL.• Knowledge of signal processing and SDR.• Exposure to scientific or telecom infrastructure projects.Travels up to several weeks ...

reuse Monitor and maintain - Monitor data systems for performance issues and make any necessary updates. What You’ll Bring ETL processing languages such as Python Apache Spark/NiFi/Kafka Relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra) AWS and data-related services Palantir Foundry ...

Experience with Linux systems.Hands-on experience with Terraform/Ansible or other IaC tools.Experience of working in a DevOps/SRE environment.Programming experience in Python or similar.Understanding and ability to debug compute, networking, storage in large production environments.“Nice To Have” Skills and Experience:Exposure to modern cloud native principles.Familiarity ...

software design Practical experience with classical machine learning techniques and an awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data ...

customer journeys and conversion funnels. It would also be advantageous to have: Product Growth Analytics experience Customer lifecycle, retention, churn or LTV analysis dbt Python or R Experience using AI tools within analytical workflows Dashboarding experience This is a product analytics role rather than a marketing analytics role, so candidates ...

integrationReverse engineering RF systems and signal analysisCommercial and Military communications stacks and modem development (e.g IEEE 802.x, COFDM, Satcoms, or Link 16)OpenCPI, GnuRadio, Python, C/C++, VHDL and other SDR development technologiesDesired SkillsEW or SIGINT capability development (including RF waveform and protocol vulnerability analysis)Payload development for defence ...