1 to 25 of 61 Permanent Python Jobs in Surrey

need as the Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands ...

datasets from different sources. Good communication and teamwork skills. Experience with cloud data platforms such as Databricks or Snowflake on AWS. Strong skills in Python, PySpark, and SQL. Good understanding of ETL/ELT pipelines and data transformation. Experience with data modelling and database optimisation. Strong knowledge ...

management skills. Proficiency in modern frontend technologies (HTML, CSS, Tailwind, JavaScript/TypeScript, Vue.js React or equivalent) Experience in backend technologies (Laravel/PHP, Python FastAPI Experience using AWS including - ECS, IAM, RDS, CloudWatch, and terraform or infrastructure as code Experience with version control (Git), and CI/CD pipelines ...

management skills. Proficiency in modern frontend technologies (HTML, CSS, Tailwind, JavaScript/TypeScript, Vue.js React or equivalent) Experience in backend technologies (Laravel/php, Python fastAPI Experience in modern frontend technologies and backend technologies. Proven experience using AWS including - ECS, IAM, RDS, CloudWatch, and terraform/terragrunt or infrastructure ...

instruction and project work you'll be ready for business challenges from day one. What you'll get: Seven training modules , covering Excel, SQL, Python, Tableau, Power BI and more. Three official certifications : Microsoft Azure Data Fundamentals, Microsoft Power BI Data Analyst Associate and Microsoft Azure AI Fundamentals. Real-world ...

repeatable provisioning workflows. Solid understanding of networking fundamentals, including Docker networking and virtualized network topologies. Experience with scripting or programming languages such as Python, C++, or JavaScript (React experience is a plus). Familiarity with CI/CD pipelines and automation tools (e.g. Jenkins, Bitbucket Pipelines). Strong analytical ...

Building scalable, maintainable analytical pipelines. Delivering insight and models that perform reliably in complex operational environments. What We’re Looking For Strong experience in Python and SQL, including libraries such as Pandas, NumPy and scikit-learn. Experience working with deep learning frameworks such as PyTorch or TensorFlow. A solid grounding ...

simple terms. What you'll bring: Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins). Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ...

simple terms. What you'll bring: Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins). Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ...

technical documentation and task records Participate in system testing, troubleshooting, and performance optimisation Skills & Experience Essential Strong programming skills in C++ and/or Python Experience working in Linux-based development environments Knowledge of embedded systems and software integration Understanding of: APIs and backend systems networking fundamentals software testing approaches ...

simple terms. What you'll bring: Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins). Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ...

simple terms. What you'll bring: Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins). Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ...

simple terms. What you'll bring: Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins). Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ...

simple terms. What you'll bring: Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins). Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ...

collaborator engagement skills. Preferred Experience Digital Twin, asset virtualization, or industrial data platforms Graph technologies (e.g., Neo4j), big data ecosystems (Spark, Hive, Hadoop) Databricks, Python, and modern analytics platforms Delivery of data products at enterprise scale Key Competencies Strategic product thinking with strong execution bias Deep technical fluency across data ...

/detection/segmentation/tracking) Strong skills with PyTorch (or similar) and CV libraries such as OpenCV/scikit-image Strong, production-ready Python engineering (version control, testing, code reviews) Analytical mindset with strong problem-solving ability Clear communicator who works well in a collaborative team Nice to Have ...

documentation for developed solutions • Continuously evaluate emerging technologies relevant to secure communications and networking environments Core Technology Environment: • Linux (Debian/Ubuntu) • Apache • MySQL • Python • PHP • ReactJS • NodeJS • CI/CD Pipelines • BitBucket • JIRA • Xray/Pytest/Jest/Cypress • TCP/IP Networking • WAN/LAN Technologies • Satellite ...

techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...