636987 Ai Engineer

AI Engineer Location: London (onsite) Type: Full-time | Permanent Salary: £80-110k DOE About Us We're an ambitious technology company using advanced Machine Learning (ML) and Natural Language Processing (NLP) to power next-generation products. Until now, our AI projects have relied on third-party engines deployed via Docker - but it's time to take the next step. We're ready to build our own in-house AI environment, giving us full control over our models, data, and innovation pipeline.To make that happen, we're looking for an AI Engineer - someone with the technical depth and vision to architect, implement, and scale an environment capable of supporting multiple ML and NLP initiatives across the business.The Role As one of our first senior AI hires, you'll take ownership of designing and building the foundation of our AI ecosystem. You'll shape the infrastructure strategy, establish our MLOps pipelines, and work closely with product and data teams to enable seamless model development and deployment. ResponsibilitiesArchitect, build, and maintain an in-house AI environment (on-prem or hybrid cloud).Design MLOps workflows for training, deploying, and monitoring models.Integrate and manage containerized AI engines (Docker/Kubernetes).Help establish best practices for model versioning, data pipelines, and reproducibility.Collaborate with ML and NLP researchers to optimise infrastructure for experimentation.Set up CI/CD pipelines, monitoring tools, and scalable compute infrastructure.Skills & experienceRequired5+ years of experience in machine learning, data science, or AI system design.Proven track record of deploying ML models or LLM-based applications to production.Strong programming fundamentals, including data structures and algorithms.Hands-on experience with transformers, embeddings, and vector databases.Experience running AI workloads on offline or on-premise platforms (non-cloud environments).Solid understanding of data pipelines, APIs, and scalable system architecture.PreferredFamiliarity with MLOps tools and best practices.Background in integrating AI solutions into enterprise products.Awareness of privacy, bias mitigation, and model explainability techniques.What We OfferOpportunity to design the company's AI infrastructure from the ground up.Work with cutting-edge AI technologies in a hands-on, high-impact role.Competitive salary (up to £110k), flexible working, and professional growth opportunities.Ready to build the foundation of our AI future? Apply now and help us shape an intelligent, scalable, and independent AI ecosystem.