601 to 625 of 3,969 Remote Python Jobs

commercial and operational decisions. Applying statistical and machine learning techniques to build predictive and prescriptive models, test hypotheses and solve real business problems. Using Python, PySpark and SQL to analyse data and develop high‐quality, maintainable solutions. Creating and maintaining data pipelines and automated workflows, following agreed ETL and data … domain. Proven expertise in using data, statistical analysis and machine learning to solve business challenges and generate actionable insight. Strong technical capability across Python, PySpark and SQL, with experience working with complex datasets. Strong knowledge of machine learning algorithms, including classification, regression, supervised learning and unsupervised learning. Proven expertise ...

backend and edge/IoT domains. Implementing robust CI/CD processes and containerisation strategies using Docker and Kubernetes. Shipping production-ready code in Python and compiled languages such as Rust, C++, or Go. Collaborating with cross-functional teams to integrate advanced AI and Machine Learning capabilities into software architectures. … looking for: You have extensive experience in application development and a deep understanding of modern system architecture and design patterns. You are proficient in Python and at least one compiled language, with a proven track record of shipping code to paying customers. You bring a leadership mindset, with the ability ...

self-serve, cloud-native analytics product built on Google Cloud Platform (GCP). We support our stakeholders to utilise GCP tooling for analysis via Python, including model-serving. Our roadmap includes introducing a data integration layer to further drive value adoption, as well as supporting more advanced machine learning … with the ability to influence both technical and non-technical audiences. Experience leading, mentoring, and developing high-performing engineering teams. Knowledge of SQL and Python is advantageous, while experience with tools such as FiveTran or Airbyte would be beneficial. Benefits 25 days holiday, increasing through length of service, with option ...

join a collaborative, forward‐looking team where your ideas are heard and your growth is championed. Work with a modern tech stack including Python, SQL, Shell scripting, Talend, XSLT, XML, CSV, JSON, RDF, RDBMS, NoSQL, and graph databases. You’ll help design and build scalable data pipelines, automate data processing … continuous improvement. Who We’re Looking For Strong experience in large‐scale data analysis and manipulation using relevant programming languages and tools (e.g. Python, Shell scripting, SQL, XSLT). Solid understanding of data formats (XML, CSV, JSON, RDF) and database technologies (RDBMS, NoSQL, graph databases). Excellent analytical, problem‐solving ...

right in What you'll do at UiPath Design, build, and operate the core MLS platform. This includes our Rust‐based API gateway, Python ML compute workers, and the distributed job queue that orchestrates it all. Solve hard concurrency, performance, and distributed systems problems to ensure our platform is bulletproof … . A willingness and curiosity to become an expert in Rust is essential, as it's the foundation of our core services. Strong Python skills are also critical. Real‐world experience with cloud ecosystems (Azure, AWS, or GCP) and containerization (Docker, Kubernetes). You should understand how production systems ...

major or multiple client projects across our suite of MMM/Data science offerings Clean and prepare data from multiple sources using Python, R, SQL, Excel, or other tools. Conduct analyses related to consumer behaviour, market trends, and campaign performance. Build, maintain, and apply statistical and predictive models, including regression … degree (or equivalent) in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Business Analytics, Marketing, or a related analytical field. Strong technical proficiency in Python, R, SQL, or similar analytics tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Experience or willingness to learn visualisation tools ...

Responsibilities Building and maintaining infrastructure automation platforms at scale that manage tens of thousands of cores and hundreds of terabytes of memory supporting our python‐based quantitative research and trading systems. Designing infrastructure‐as‐code and configuration management solutions using tools like Terraform and Ansible to provision and manage … work confidently across both Unix based systems (Ubuntu, RHEL, or similar distributions) and Windows environments. Experience with scripting and automation using languages such as Python, Powershell, Bash, or Go. Understanding of CI/CD principles and experience with tools like Jenkins or Github Actions. Solid grasp of networking fundamentals, security ...

exploring new work methods. Candidates should have a strong background in large-scale applications and data platforms. Develop and maintain machine learning systems in Python alongside data scientists and other machine learning engineers. Take projects from experimentation through to production, including design and integration with other systems such as continuous … Advanced understanding of software engineering best practice, programming concepts, automated testing, continuous integration and continuous delivery, and production deployments. Commercial experience using key Python libraries for machine learning, such as Pandas, Scikit-learn and XGBoost. Proven development experience with cloud services, data stores and architectures, such as Vertex AI, BigQuery ...

exploring new work methods. Candidates should have a strong background in large-scale applications and data platforms. Develop and maintain machine learning systems in Python alongside data scientists and other machine learning engineers. Take projects from experimentation through to production, including design and integration with other systems such as continuous … Advanced understanding of software engineering best practice, programming concepts, automated testing, continuous integration and continuous delivery, and production deployments. Commercial experience using key Python libraries for machine learning, such as Pandas, Scikit-learn and XGBoost. Proven development experience with cloud services, data stores and architectures, such as Vertex AI, BigQuery ...

record operating at Senior, Lead or equivalent engineering level. Commercial experience building and shipping multi-agent or agentic AI systems into production . Strong Python development skills and excellent software engineering fundamentals. Hands-on experience with LangGraph, LangChain, Haystack or similar AI/LLM frameworks , together with the ability … experimenting with the latest models we'd like to hear from you. Please apply with an up-to-date CV highlighting your experience with Python, LLMs, agentic AI, production software engineering, retrieval systems and cloud infrastructure . We are committed to creating an inclusive working environment and welcome applications from ...

etc.) Design and scale data ingestion and feature transformation flows using batch (e.g., Spark/BigQuery) and streaming (Kafka or equivalent) Contribute to internal Python libraries and platform tooling that accelerate experimentation and deployment for all model teams Ensure ML services are modular, testable, and monitored from day one Exploration … evaluation, model serving) What we’re looking for Proven experience designing and deploying ML systems in production (5+ years in relevant roles) Proficiency in Python and SQL, and orchestration tools (Airflow, Kubeflow, Dagster, etc.) Experience with modern cloud platforms (preferably GCP or AWS), Kubernetes, and CI/CD workflows Understanding ...

Data Science or ML Engineering, with a track record of delivering production-ready models that drive measurable business value. Technical Proficiency: Strong expertise in Python and SQL. Deep familiarity with the Python data stack (pandas, NumPy, scikit-learn) and standard ML frameworks (such as PyTorch, XGBoost, or LightGBM). Engineering ...

user-facing features using technologies such as JavaScript and Vue.js. Build and support back-end services and APIs, working with technologies including JavaScript, Python and .NET. Contribute to cloud-based solutions, developing your experience with platforms such as Microsoft Azure, Google Cloud or Amazon Web Services. Work closely with colleagues … foundation in software engineering or computer science through a degree, relevant training, professional experience or another learning pathway. Have practical experience with JavaScript and Python, and some exposure to developing web applications, back-end services or APIs. Have experience with, or an interest in developing your knowledge of, technologies such ...

continuous deployment. If you care enough to find elegant solutions to difficult technical problems, we’d love to hear from you. Tech Stack Python Java, which makes up the majority of our backend codebase JavaScript, particularly React, which makes up our frontend Postgres and SQL AWS & GCP - we’re cloud …/CD (lots of teams are releasing code 15-20 times per day!) Terraform Prometheus and Grafana If you have built and deployed complex Python applications or have hands‐on experience with generative AI and LLMs, we would be especially keen to talk. We are moving fast ...

across 20+ marketing platforms. Build and optimize schemas, transformations, and ETL logic for high-performance, reusable data workflows. Contribute directly to the DFP codebase (Python, SQL, Spark) — developing pipelines and infrastructure alongside the engineering team. Establish data versioning, testing, and governance frameworks ensuring reliability, lineage, and compliance. Data Engineering Leadership … pipelines. Qualifications Hands‐on experience as a Data Engineer or Data Platform Developer, including direct contributions to production codebases. Expert‐level proficiency in Python, SQL, and Apache Spark for data pipeline development. Proven experience building ELT workflows using Fivetran, Airflow, DBT, or Databricks. Solid understanding of data modeling, dimensional design ...

Responsibilities Architecture & API Engineering: Design, implement, and maintain scalable, robust, and clean server-side application logic using modern backend languages (Node.js/Python/Go or equivalent modern stacks). Build out high-performance, well-documented RESTful and GraphQL API pipelines to serve responsive mobile and desktop client interfaces. Database … focused on production-grade B2C/B2B platforms or high-volume marketplace solutions. Core Language Proficiencies: Deep framework and programming mastery in Node.js (TypeScript), Python (Django/FastAPI), or Go ecosystem components. Data Operations: Strong practical background working across PostgreSQL/MySQL schemas, NoSQL document sets, caching mechanics, and complex ...

learning. Translate analytical insights into standardized current best-known methods (cBKM) to enable scalable and sustainable business impact. Design, develop, and maintain production-grade Python applications, libraries, and data science solutions following established software engineering best practices. Process, structure, and analyze large-scale datasets while optimizing data pipelines, databases … skills. Excellent verbal and written communication skills in English. Preferred Qualifications Knowledge of optical systems, cameras, sensors, and imaging hardware. Expert-level proficiency in Python, statistical modeling, machine learning, and data visualization. Working knowledge of PowerShell, R, SQL, and database technologies. Experience developing and implementing artificial intelligence solutions and advanced ...

data producers and consumers. You will bring strong hands‐on expertise to our GCP‐based data platform, design reusable patterns and tools, write robust Python and SQL, and deploy infrastructure with Terraform, while influencing the standards and technical decisions that the wider data engineering team works to. As a Senior … define the problem, identify the right technical approach, and drive complex cross‐functional projects to completion without needing fully formed requirements Is a strong Python and SQL engineer, with mastery of software engineering fundamentals, and is able to raise the standard across the team Has deep, hands‐on experience with ...

code and CI/CD best practices. Partner with software engineers, ML engineers and data scientists to deliver scalable solutions. Your Skills & Experience Strong Python software engineering experience. Hands-on MLOps or platform engineering background. Experience with ML workflow orchestration tools. Production Kubernetes expertise. Infrastructure-as-code experience, ideally Terraform ...

analytical experiences. Implement automated testing, CI/CD patterns + deployment best practices for Foundry-based data assets. Technical Environment: Data Engineering, Palantir Foundry, Python, SQL, PySpark, Spark SQL + Cloud (AWS, Azure, GCP), CI/CD, Git based workflows. Benefits: £75,000 - £80,000 (DOE) + Remote/Hybrid ...

cloud platforms within production environments. Proficiency in Infrastructure as Code using Terraform. Experience with CI/CD pipelines, preferably GitHub Actions. Strong Python skills for integrations and backend services. Knowledge of AWS services like Lambda, API Gateway, and EventBridge. Experience in integrating multiple systems and data sources. Strong understanding ...

proudly technology agnostic, empowering you to architect the best solutions using the most effective tools for each challenge. With technologies ranging from .NET, Java, Python, Node.js, AWS and Azure, you’ll have opportunities to deepen your expertise, explore new areas, and grow your career. This role offers flexibility … work efficiently and confidently. Essential Skills 5+ years’ proven experience in a Full Stack Engineering role, with advanced skills in .NET, Java or Python, plus modern JavaScript libraries. Experience taking ownership of delivery for services or significant components across the full lifecycle from design to operation. Strong understanding of architectural ...

Looking For Strong experience with Linux systems and cloud platforms. Hands-on experience with CI/CD tools and automation frameworks. Solid knowledge of Python, Golang, and/or Java (desirable). Understanding of microservices architectures and modern deployment practices. Experience managing relational and NoSQL databases. Excellent analytical and problem ...

cloud-native security architecture. Experience with kubernetes and container security principles. Security knowledge in AWS/GCP. Basic scripting skill for automation purposes (Python, Go, Bash etc.). Proven ability to develop integrations by interacting with APIs. Excellent analytical and problem-solving skills to identify vulnerabilities and assess potential impact. … Jenkins. Knowledge of external attack surface management. Proficiency in infrastructure as code, specifically terraform. Competence in at least one programming language (e.g. java, golang, python) for automation. Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know ...

building modern data distribution technologies, including cloud native distribution channels, and strong analytical skills in various languages, the main ones involved being typescript, python and javascript (with Angular).As an Index Distribution Manager Software Engineering, you are responsible for building a modern cloud native (on AWS) distribution infrastructure, with high … Enjoy learning, experimenting, and push for innovative designs to help us building better product experiences for our clients. Tech Stack You'll Work OnBackend: Python, Java, TypeScript, SQL, APIs, microservices, containersFrontend: Angular, JavaScript, HTML5/CSSCloud: AWS (EC2, Lambda, Glue, EKS, SQS, SNS and any other as required)Databases ...