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EverC, now part of G2 Risk Solutions, is a pioneer in its field. By leveraging technologies that illuminate the darkest corners of the internet and provide unparalleled visibility into the largest source of data in the…
Orchestrate cross-functional projects to consolidate student rental platforms, optimize AI support tools, and automate workflows for HousingAnywhere’s Marketplace Operations teams.
The Staff Machine Learning Engineer (Ops) will oversee the end-to-end model development and release lifecycle for autonomous driving AI. This role involves optimizing ML delivery pipelines, enforcing quality gates, and collaborating with platform and CI/CD teams to ensure robust model deployment.
This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen,…
Location: Cape Town | Work Type: Remote | Contact Duration: 12 Months | Job ID: J107261 About our client: Our client, a highly reputable and prestigious household name, has made one of the biggest local investments in…
Leads architecture and hands-on development of AI-enabled geospatial and crisis management platforms for the SAFEPLACE project and ESA initiatives in Madrid, building React dashboards, Python/FastAPI backends, geospatial services (Cesium, GeoServer, PostGIS), and LLM/RAG-powered AI services in containerized cloud environments.
We are seeking an experienced and hands on Tech Leader for our Machine Learning Team. This pivotal role involves the development of our ML framework and platform, develop Machine learning models and support our MLOps…
The Wow As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying advanced machine learning models that enhance our products and services. You will collaborate with…
Build and scale ML-powered recommendation systems and vector databases that personalize email, SMS, and agentic workflows for ecommerce customers using Python, Spark, and AWS.
Part-time (with a path to full-time) remote Senior Data Scientist at Vulcury, a venture studio, leading a data preparation and data-quality initiative: structuring, documenting, and validating datasets ahead of a software/analytics build, while managing and mentoring a small India-based team. Core tools: Python and common data-analysis libraries.
Vulcury is hiring a Senior Data Scientist on a part-time basis (with a path to full-time) to lead a remote, India-based data preparation and data-quality initiative. The role defines data standards and workflows in Python, ensures datasets are usable for a future software/analytics build, and mentors a small distributed team.
Job Title: Python Developer (AI Agents / Data Science) – 4+ Years Location: Mumbai Experience: 4+ Years Job Summary: We are looking for a Python Developer with strong backend fundamentals and exposure to data science…
Fully remote AI Engineer role (hiring in Pakistan) at TeamFicient: design, build, and scale production-grade AI applications using LLMs, RAG, and Python, backed by cloud services (AWS/Azure/GCP) and Docker/Kubernetes. Full-time, $1,000–$1,500/month, 9-hour days scheduled between 7 AM and 7 PM CST.
ConnectOS is hiring a Cloud Data Engineer to build and maintain AWS-based data pipelines, microservices, and cloud data platforms for an Australian education client, while also developing generative AI/LLM-powered solutions. Core stack: Python, SQL, AWS (Redshift, S3, Lambda), Terraform/CDK, with Databricks/PySpark and MLOps as pluses; hybrid role based in Mandaluyong.
Contract AI/ML Engineer (6 months, £500/day inside IR35) via recruiter Venesky Brown for a public sector client in Glasgow, hybrid home/office. Day to day: design, build and deploy AI/ML solutions for an AI Accelerator programme using Python, LLMs/RAG, MLOps pipelines and Azure-based data platforms.
Senior Engineering Manager leading Quince's MLOps team to build and scale the infrastructure powering production machine learning for its e-commerce business — model training, deployment, serving, and monitoring — on cloud-native tooling like AWS, Kubernetes, Terraform, SageMaker, and Kubeflow, while mentoring engineers and managing compute costs.
Builds and operates a central AI platform from the ground up, creating scalable services and tooling (model gateway, RAG-as-a-service, prompt management, observability, evaluation) that multiple product teams use to ship AI features reliably. Core stack: Python plus Go/Java, LLM APIs, LangChain/LlamaIndex, Kubernetes and Terraform on AWS or Azure.
Designs and builds AWS-based data lakes and lakehouses, setting up ingestion pipelines, storage tiers, and governance while optimizing for cost and performance.
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