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VE3

VE3

www.ve3.global

2 Jobs

80 Employees

About the Company

VE3 is a global technology company delivering innovative digital solutions that help organisations unlock their full potential. We help organisations optimize operations, enhance customer experiences, unlock data-driven insights, and foster agile strategies. We focus on delivering innovative software solutions and developing state-of-the-art mechanisms to enhance operations and generate products tailored to customer needs with our years of experience in technologies like Cloud, DevOps, Data, AI and more. #DigitalTransformation #Innovation #TechSolutions #Technology

Listed Jobs

Company background Company brand
Company Name
VE3
Job Title
Technical Architect
Job Description
**Job Title:** Technical Architect **Role Summary:** Hands‑on leader who translates business strategy into scalable, secure, cloud‑native architectures. Builds and validates architectural runway through production‑ready code, guides development teams, and ensures technical governance across the organization. **Expectations:** - Deliver end‑to‑end architectural designs and prototypes. - Write core framework components and resolve complex technical issues. - Enforce coding standards, CI/CD, and security best practices. - Mentor senior engineers and communicate trade‑offs to stakeholders. - Identify and remediate technical debt, driving platform modernization. **Key Responsibilities:** - Design scalable microservices, event‑driven, and cloud‑native systems. - Develop Proof‑of‑Concepts for new technologies and integration patterns. - Implement core libraries, shared services, and solve high‑complexity tickets. - Establish and monitor technical governance (coding standards, CI/CD, security). - Conduct deep‑dive code reviews and mentor development teams. - Translate technical trade‑offs (e.g., latency vs. consistency) into business language. - Create roadmaps for legacy decommissioning and platform migrations. **Required Skills:** *Technical* - Mastery of at least two languages (Python, Node/TypeScript). - Deep experience with AWS, Azure, or GCP (incl. serverless & managed services). - Expert knowledge of Kubernetes, Docker, and Service Mesh (Istio/Linkerd). - Infrastructure as Code using Terraform. - Design of SQL (PostgreSQL) and NoSQL (MongoDB, Cassandra) databases; caching (Redis). - Integration of LLM/Generative AI and observability (OpenTelemetry). - Strong grasp of distributed systems concepts (CAP theorem, consensus algorithms, fallacies). - Proficiency with scalability patterns: sharding, CQRS, event sourcing, global DB distribution. - Security architecture: Zero Trust, OAuth2/OIDC, secret management. *Soft* - Systems thinking across microservice ecosystems. - Pragmatic decision‑making to meet deadlines. - Excellent visual storytelling (LucidChart, Mermaid.js, Miro) and stakeholder communication. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science or related field. - 10+ years of progressive engineering experience equivalent to senior/lead roles. - Relevant cloud certifications (e.g., AWS Solutions Architect, Azure Architect, GCP Professional Cloud Architect) preferred but not mandatory.
London, United kingdom
Hybrid
Senior
21-12-2025
Company background Company brand
Company Name
VE3
Job Title
Software Engineer Apprentice
Job Description
**Job Title** Software Engineer Apprentice **Role Summary** An entry‑level apprenticeship focused on artificial intelligence and machine learning. The apprentice supports data pipeline construction, model development, experimentation, and deployment of AI solutions. Collaboration with seasoned AI engineers, data scientists, and product teams is integral, with the goal of producing production‑ready AI features and services. **Expectations** - Acquire hands‑on experience in ML model design, data engineering, and AI service deployment. - Demonstrate progressive responsibility in code quality, documentation, and reproducibility practices. - Actively participate in sprint planning, code reviews, and knowledge‑sharing sessions. - Maintain an accurate record of experiments, modeling outcomes, and version control updates. **Key Responsibilities** - Collect, clean, validate, and pre‑process data for training and evaluation. - Design, develop, and tune machine learning and deep‑learning models (NLP, CV, generative, recommendation). - Build scalable, reusable data pipelines using modern ML workflows. - Conduct experiments, benchmarking, error analysis, and model diagnostics. - Log training/testing outcomes and support model versioning and reproducibility. - Develop AI‑powered APIs, scripts, and microservices and integrate them into backend services. - Deploy models in dev/test environments using Git, CI/CD pipelines, and containerization (Docker). - Produce clear documentation for code, models, datasets, and workflows. - Engage in team meetings, sprint planning, code reviews, and mentorship discussions. **Required Skills** - Programming in Python with experience in Pandas, NumPy, Scikit‑learn, TensorFlow, PyTorch (or equivalent). - Familiarity with Jupyter Notebooks, Git/GitHub, and basic version control workflows. - Understanding of supervised/unsupervised learning, neural networks, clustering, and feature engineering. - Ability to analyze data trends, visualize results, interpret model outputs, and debug issues. - Competence with CI/CD concepts, containerization (Docker), and microservice architecture basics. **Required Education & Certifications** - Completed Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or Software Engineering. ---
Maidenhead, United kingdom
Hybrid
04-02-2026