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Data Engineer
Build and own BigQuery-based data pipelines and derived products (e.g., user segmentation) that feed marketing and CRM platforms like Salesforce for a global customer.
Senior Software Developer (Python)
Build cloud-native Python services and data platforms that power AI-driven analytics, forecasting, and optimisation for Sky’s networks, using FastAPI/Flask/Django, GCP, Docker, and Kubernetes.
Platform Enterprise Architect
Salary: £64,000 - 80,000 per year Requirements: Deep experience with Vertex AI, Agent Engine, and Apigee Strong LLM/RAG and multimodal retrieval expertise Mastery of Terraform and Google Cloud Deploy Solid grounding in…
Senior Data Engineer
Build cloud-native data platforms and MLOps workflows, designing ETL/ELT pipelines, data lakes/warehouses, and feature stores for AI/ML and analytics.
ML Platform Engineer – Google Cloud (GCP) and Vertex AI
Build and automate ML pipelines on Google Cloud using Vertex AI, TensorFlow, and Kubernetes to deploy scalable AI models with CI/CD and monitoring.
AI Platform Engineer (Senior / Principal)
Build and operate a secure, scalable AI platform for enterprise clients in regulated financial services, enabling teams to deploy, govern, and scale AI-powered applications using cloud-native infrastructure and AI services.
Senior Data Engineer
Design and automate scalable data pipelines on AWS and Databricks to feed analytics and AI models, using Spark, Airflow, and Snowflake.
Software Engineer- Frontend
Builds enterprise-grade Angular frontends with AI integrations, CMS pipelines, and design systems for global clients while collaborating with US and European teams.
Generative AI Engineer: Data Pipelines & Cloud Apps
Builds AI-powered web apps and data pipelines using FastAPI/React on GCP/Azure, integrates with LLM APIs, and optimizes prompt engineering and model performance.
Data Scientist - Machine Learning
Build and maintain production ML models in a cloud environment, deploy and monitor them, and collaborate with cross-functional teams to support data-driven decisions using Python, AWS SageMaker, SQL, and MLOps tools.
Senior Data Scientist
Build and deploy production-grade AI/ML models (LLMs, NLP, CV, forecasting) to solve complex business problems, using Python, TensorFlow/PyTorch, and cloud ML platforms.
AI Platform Engineer - Cloud & GenAI Solutions (She/He/They)
Build and deploy AI solutions on cloud platforms, focusing on GenAI, LLMs, agents, and RAG pipelines using Python and cloud-native AI services like Azure AI Foundry and AWS Bedrock.
Senior AI/ML Engineer
Build and deploy AI/ML models for vision, audio, and language tasks using PyTorch/TensorFlow and cloud MLOps tools.
Senior DevOps AI Platform Engineer (Remote, NC, US, 99999)
Build and scale the enterprise DevOps operating model for GXO’s Agentic AI Platform on GCP and Kubernetes, owning secure CI/CD, Terraform infrastructure, and AI model-serving pipelines.
Senior Software Engineer (AI/ML) - Part-time | Remote
Build and scale AI agents and ML pipelines using Python, PyTorch/TensorFlow, and agent frameworks like LangChain; integrate LLMs, vector DBs, and cloud-native systems.
Lead Generative AI Engineer
Designs and deploys production-grade generative AI solutions (LLMs, RAG, AI agents) for enterprise clients, using frameworks like LangChain and cloud platforms like Azure OpenAI, with a focus on scalability, security, and cost efficiency.
Associate Director - Data Engineering
Lead data engineering for a digital bank, building scalable pipelines and Lakehouse solutions in Google Cloud to enable analytics and decision-making.
Senior Engineer - Data Science
Build and deploy ML/AI models (classical, deep learning, LLMs) with MLOps/LLMOps pipelines, focusing on production-grade solutions and API integration for enterprise use.
Associate Architect - Data Science
Design and lead enterprise-scale AI/ML architectures, including Generative AI and Agentic AI systems, ensuring scalability, security, and MLOps/LLMOps best practices.
Associate Lead - Data Science
Lead AI/ML teams to build, deploy, and govern production-grade generative and agentic AI systems using LLMs, RAG, and orchestration tools.