{"schemaVersion":"jobsearcher.job.v1","id":"aadacbcb656a755ac63b7ca2","url":"https://jobsearcher.com/jobs/aadacbcb656a755ac63b7ca2","canonicalUrl":"https://jobsearcher.com/jobs/aadacbcb656a755ac63b7ca2","title":"Senior Machine Learning Engineer | Python | PyTorch | Machine Learning | Large Language Models | RAG | Remote, UK and EU","description":"Senior Machine Learning Engineer | Python | PyTorch | Machine Learning | Large Language Models | RAG | Remote, UK and EUSummary of the Role:As a Senior ML Engineer, you'll be the technical leader driving machine learning infrastructure from experimentation to production, ensuring AI-powered solutions deliver measurable impact for customers worldwide. This is a unique opportunity to join as one of the early engineering team members of a well-funded startup building breakthrough applications of large language models (LLMs) and AI agents.You'll take full ownership of evaluation frameworks, production ML pipelines, and cross-team ML integration, working closely with company leadership and product teams to transform cutting-edge AI research into robust, scalable solutions. Your success will be measured by agent performance improvements and product innovation impact, not just technical metrics. This role is ideal for a hands-on ML engineer who has scaled production ML systems, thinks like a product builder, and wants to drive the productionization of LLMs and ML to solve real-world problems.Your Contributions:Build Production-Grade Evaluation Systems: Design and implement evaluation frameworks that measure performance, track improvements, and ensure consistent value delivery.Drive Experimentation-to-Production Pipeline: Own the ML lifecycle from prototype to production, enabling rapid iteration while maintaining reliability.Enable Cross-Team ML Integration: Collaborate with product teams to integrate ML into customer-facing features.Optimize AI Agent Performance: Improve systems through experimentation, prompt engineering, and architecture enhancements.Scale ML Infrastructure: Develop foundational systems, monitoring, and tooling to support rapid growth.Partner with Leadership: Work closely with senior leadership while operating with high autonomy.Mentor Through Excellence: Provide guidance and mentorship to junior ML engineers.What You Need to Be Successful:Production ML Experience: 5+ years building and scaling ML systems in production.Neural Networks Foundation: Strong background in classical and deep learning before specializing in LLMs and transformers.Product-Focused Mindset: Track record of integrating ML systems into real products.Multi-Company Perspective: Experience across startups and/or scale-ups.Technical Versatility: Strong Python skills and adaptability across frameworks and tools (e.g., LangChain, workflow orchestration).Self-Directed Leadership: Ability to operate autonomously while aligned with leadership.Cross-Functional Collaboration: Experience translating technical capabilities into business value.Nice to Haves:Experience with AI agents, LLMs, or generative AI applicationsDomain knowledge in cybersecurity or related fieldsBackground at ML-first companiesExperience with modern MLOps and cloud ML infrastructureTrack record of optimizing model performance and costsWhy Join:Real-World AI Impact: Apply ML to solve significant industry challenges.Technical Leadership: Shape infrastructure and systems that will scale.Expert Team Partnership: Collaborate with experienced professionals from top tech companies and scale-ups.Build the AI-Native Future: Establish ML practices and standards in a rapidly evolving field.Multiple Growth Pathways: Opportunities for leadership, technical specialization, or senior IC roles.Breakthrough Technology: Work at the intersection of generative AI and practical applications.Senior Machine Learning Engineer | Python | PyTorch | Machine Learning | Large Language Models | RAG | Remote, UK and EU","company":"Enigma","rawCompany":"enigma","city":"Jonesboro","state":"IL","isRemote":true,"isActive":false,"createdAt":"2026-06-26T13:22:44.533Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Machine Learning Engineer | Python | PyTorch | Machine Learning | Large Language Models | RAG | Remote, UK and EU","description":"Senior Machine Learning Engineer | Python | PyTorch | Machine Learning | Large Language Models | RAG | Remote, UK and EUSummary of the Role:As a Senior ML Engineer, you'll be the technical leader driving machine learning infrastructure from experimentation to production, ensuring AI-powered solutions deliver measurable impact for customers worldwide. This is a unique opportunity to join as one of the early engineering team members of a well-funded startup building breakthrough applications of large language models (LLMs) and AI agents.You'll take full ownership of evaluation frameworks, production ML pipelines, and cross-team ML integration, working closely with company leadership and product teams to transform cutting-edge AI research into robust, scalable solutions. Your success will be measured by agent performance improvements and product innovation impact, not just technical metrics. This role is ideal for a hands-on ML engineer who has scaled production ML systems, thinks like a product builder, and wants to drive the productionization of LLMs and ML to solve real-world problems.Your Contributions:Build Production-Grade Evaluation Systems: Design and implement evaluation frameworks that measure performance, track improvements, and ensure consistent value delivery.Drive Experimentation-to-Production Pipeline: Own the ML lifecycle from prototype to production, enabling rapid iteration while maintaining reliability.Enable Cross-Team ML Integration: Collaborate with product teams to integrate ML into customer-facing features.Optimize AI Agent Performance: Improve systems through experimentation, prompt engineering, and architecture enhancements.Scale ML Infrastructure: Develop foundational systems, monitoring, and tooling to support rapid growth.Partner with Leadership: Work closely with senior leadership while operating with high autonomy.Mentor Through Excellence: Provide guidance and mentorship to junior ML engineers.What You Need to Be Successful:Production ML Experience: 5+ years building and scaling ML systems in production.Neural Networks Foundation: Strong background in classical and deep learning before specializing in LLMs and transformers.Product-Focused Mindset: Track record of integrating ML systems into real products.Multi-Company Perspective: Experience across startups and/or scale-ups.Technical Versatility: Strong Python skills and adaptability across frameworks and tools (e.g., LangChain, workflow orchestration).Self-Directed Leadership: Ability to operate autonomously while aligned with leadership.Cross-Functional Collaboration: Experience translating technical capabilities into business value.Nice to Haves:Experience with AI agents, LLMs, or generative AI applicationsDomain knowledge in cybersecurity or related fieldsBackground at ML-first companiesExperience with modern MLOps and cloud ML infrastructureTrack record of optimizing model performance and costsWhy Join:Real-World AI Impact: Apply ML to solve significant industry challenges.Technical Leadership: Shape infrastructure and systems that will scale.Expert Team Partnership: Collaborate with experienced professionals from top tech companies and scale-ups.Build the AI-Native Future: Establish ML practices and standards in a rapidly evolving field.Multiple Growth Pathways: Opportunities for leadership, technical specialization, or senior IC roles.Breakthrough Technology: Work at the intersection of generative AI and practical applications.Senior Machine Learning Engineer | Python | PyTorch | Machine Learning | Large Language Models | RAG | Remote, UK and EU","datePosted":"2026-06-26T13:22:44.533Z","dateModified":"2026-06-26T13:22:44.533Z","hiringOrganization":{"@type":"Organization","name":"Enigma","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Jonesboro","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"aadacbcb656a755ac63b7ca2"},"url":"https://jobsearcher.com/jobs/aadacbcb656a755ac63b7ca2"}}