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Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production…
We work at the intersection of pricing science, offer personalisation, advanced statistics, and scalable software. You'll build and bring into production state-of-the-art probabilistic models - like hierarchical…
Architect role owning the end-to-end design of an enterprise AI platform across Azure and AWS — covering ML training, MLOps, and Generative AI (LLMs, RAG, vector search, agents) — for a major organisation in a regulated industry. Hybrid, 3 days/week in London or Horsham, with a £90–95k salary plus bonus.
Builds the ML infrastructure at KIEFER (Athens) powering Sophea AI, a RAG platform, robotics, and the Hyperion X energy trading platform: training/fine-tuning pipelines, dataset and model versioning, automated evaluation, deployment with rollout/rollback, GPU scheduling, and production monitoring. Core stack: Python, Linux, containers, CI/CD, GPU tooling.
Senior Data Scientist on the AI Platform Team building and deploying scalable ML solutions for ad creatives and campaigns, using Python, modern ML frameworks (PyTorch/TensorFlow), and cloud infrastructure (AWS/GCP).
The Senior Machine Learning Engineer will build and deploy AI-based solutions for ad creative and campaign performance within Smartly's advertising platform. The role involves working with large-scale datasets, strengthening MLOps infrastructure, and collaborating with cross-functional teams to productionize high-impact ML applications.
Senior Software Engineer on Smartly's AI Platform team designs and maintains backend microservices powering ML-driven ad creative and campaign optimization, helping data scientists bring models to production. Core stack: Python, TypeScript, Node.js, React, PostgreSQL, Docker, Kubernetes on AWS/GCP; hybrid work based in Helsinki.
Senior MLOps Engineer on Plata's Risk team, building ML infrastructure from scratch: evaluating feature stores (Feast/Tecton), creating training and deployment pipelines with experiment tracking and a model registry, and setting up model-quality and feature-health monitoring. Core stack: Python, Docker, MLflow, Kubeflow/Argo, SQL.
We are looking for a Senior Machine Learning Engineer to join the AI Platform Team at Smartly! Our team works on helping marketers make the most of their ad creatives (images, video, text) and campaigns (product and…
Senior MLOps analyst at Nava who builds and maintains ML training, deployment and monitoring pipelines, CI/CD processes, and data lake infrastructure on AWS (Spark, Trino, Iceberg, Docker). Hybrid role in Vila Olímpia, São Paulo, connecting data science and engineering teams to keep ML environments stable and scalable.
Senior MLOps Engineer at SoftServe leading productionization of ML systems and scalable AI pipelines, collaborating with data scientists, engineers, and product teams on Gen AI and end-to-end AI solutions. Core stack: Python, Azure, Databricks, Kubeflow/MLflow, and Kubernetes.
Senior AI engineer at Verint/Calabrio building production-grade LLM applications and agentic AI systems for customer-experience and conversation-intelligence analytics. Day-to-day: designing multi-step AI agents, RAG and data pipelines, and evaluation/monitoring frameworks, primarily in Python with LangChain/LangGraph-style orchestration.
Join Fortinet, a cybersecurity pioneer with over two decades of excellence, as we continue to shape the future of cybersecurity. We are currently seeking a dynamic Senior Software Engineer to contribute to the success…
Overview We are looking for a highly skilled AI/ML professionals to design and deliver advanced, scalable AI solutions that solve real-world business challenges. In this role, you will be part of a high-performing,…
AI Platform Architect Location: London or Horsham Working Arrangement: Hybrid/3 days in office Salary: £90,000 to £95,000 + 25% Bonus VIQU has partnered with a major international organisation operating within a highly…
Lead AI/ML engineer at Staples in Chennai who architects agentic AI and Model Context Protocol (MCP) solutions, builds full-stack AI apps (React, Node.js, TypeScript), and integrates LLMs (Claude/GPT) with RAG, prompt engineering, and MLOps tooling like PyTorch, Kubernetes, Vertex AI, and Azure ML.
Senior DevOps Engineer building and operating secure, scalable AWS and Kubernetes platforms (EKS/OpenShift) for a company serving Defence and National Security sectors. Day-to-day is hands-on: Terraform/IaC, CI/CD with GitHub Actions and Argo CD, DevSecOps, monitoring, incident response and cost optimization. Active SC clearance required; hybrid in Oxfordshire.
Designs and deploys cloud-native automation for Zscaler’s Zero Trust Exchange platform, integrating AI-driven workflows to streamline multi-cloud infrastructure provisioning, security enforcement, and lifecycle management across AWS/GCP/Azure.
Builds and scales the AI infrastructure platform behind Gatik's autonomous trucking models: distributed multi-GPU training (PyTorch, Ray, H100/A100 clusters), MLOps lifecycle automation (MLflow, Argo, Kubernetes), AI-agent-driven ops, data pipelines, and observability. Onsite 5 days/week in Santa Clara, CA.
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