TensorOps is a boutique AI consultancy that bridges strategy and execution, we design and ship production-grade AI systems for enterprise clients, from Fortune 500 companies to fast-growing unicorns. Our work spans agentic AI, LLM fine-tuning, RAG systems, and ML-driven products, deployed on AWS, GCP, and Azure.
We've shipped AI systems impacting 200M+ end users daily, partnered with 11 unicorns and NASDAQ-listed companies (including Notion, ServiceNow, JFrog, Seeking Alpha, Armis, and GoCardless), and get 95% of validated ideas into production within two months. We're Google Cloud, AWS, and Cloudflare partners, and we're 100% remote by design.
About the roleWe're hiring a Mid/Senior ML Engineer to contribute to technical direction across client engagements and mentor a growing team of junior ML engineers. You'll work directly with clients, taking AI systems from prototype to production-grade deployment.
In this role, you will:
- Design, build, and deploy production ML and LLM-based systems (RAG, agentic workflows, fine-tuning, embeddings) for enterprise clients
- Own technical delivery end-to-end: from architecture and prototyping to deployment, monitoring, and iteration
- Work directly with client engineering and product teams to translate business needs into scoped, shippable technical solutions
- Mentor and support other ML engineers on the team — code reviews, technical guidance, and knowledge sharing
- Help shape internal best practices, tooling, and technical standards as the team grows
- Represent TensorOps technically in client conversations, workshops, and (optionally) at industry conferences
You’ll be part of a supportive, fast-growing team that values autonomy, open communication, and continuous learning.
Requirements- 2+ years of professional experience in Machine Learning, AI Engineering, or a related role (Mid-level) / 5+ years for Senior
- Strong hands-on skills in Python, writing clean, efficient, well-documented, production-quality code
- Proven experience designing, training, optimizing, and deploying ML models independently (e.g., PyTorch, TensorFlow, Scikit-learn)
- Experience building GenAI & LLM systems: RAG pipelines, chatbot architectures, and applications using tools like LangChain
- Familiarity with MLOps & production ML practices: model versioning, monitoring, CI/CD for ML workflows
- Experience deploying and scaling ML systems on AWS, GCP, or Azure
- Strong performance optimization and debugging skills (diagnosing complex issues and improving system reliability and efficiency)
- Experience working with stakeholders or clients is a plus
- 100% Remote Work: no mandatory office days, work from wherever
- Funded certifications: fully paid AWS and GCP professional certifications
- Dynamic, High-Impact Projects: Work on cutting-edge ML and GenAI solutions across diverse industries
- International Clients: Collaborate with global organizations and solve real-world challenges at scale
- Urban Sports Club Membership: Supporting your physical and mental wellbeing
- Monthly Bolt Credits: For rides
- Company Events & Offsites: Regular team gatherings to connect, collaborate, and celebrate
Skills Required
- 2+ years of professional experience in machine learning, AI engineering, or a related role for mid-level candidates; 5+ years for senior candidates
- Strong hands-on Python skills, including clean, efficient, well-documented, production-quality code
- Experience designing, training, optimizing, and independently deploying machine learning models
- Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn
- Experience building generative AI and LLM systems, including RAG pipelines and chatbot architectures
- Experience with tools such as LangChain
- Familiarity with MLOps and production machine learning practices, including model versioning, monitoring, and CI/CD for ML workflows
- Experience deploying and scaling machine learning systems on AWS, Google Cloud Platform, or Microsoft Azure
- Strong performance optimization and debugging skills
- Experience working with stakeholders or clients
What We Do
TensorOps is a global AI, ML & Data consulting and professional services firm that accelerates business value through rapid, efficient technology adoption, combining strategic executive consultancy with hands-on deployment to deliver tailored solutions across adtech, healthcare, fintech and beyond. With a multidisciplinary team of 20 engineers and business strategists, spanning through Portugal, USA, UK and Israel, we ensure the right AI approach for every organisation, from first-time adopters to established industry leaders, such as Notion, KLA, Minute Media, and Seeking Alpha. TensorOps is a Google Cloud Partner and AWS Partner
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