Research ML Engineer - Careers - Pavo
About this role
Apply via email → 01 About Pavo Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We believe that while foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company’s code, data, and decisions, and improve themselves through experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built impressive momentum with a small group of highly capable engineers and researchers. 02 The role As a Founding ML Engineer focused on Agentic Systems, you will contribute to build the foundational technologies for enterprise superintelligence: you help architect memory, reasoning, and learning capabilities of our autonomous agents. You will tackle hard problems in long-horizon planning, knowledge representation, and agentic learning, combining state-of-the-art research with world-class engineering to build a new computing paradigm. If you are a world expert in search, retrieval, or reinforcement learning who is driven to define the future of agentic AI, this is your ideal role. We are looking for builders who are operating at the edge of what’s possible in AI. 03 What you’ll do You will define the capabilities of our AI teammates by working on: Build Foundational Agent Memory: Design and scale the foundational long-horizon memory and knowledge infrastructure that will allow agents to learn, recall, and reason over vast, evolving enterprise contexts. This is not about simple RAG; it’s about pioneering the future of agent memory (episodic, semantic, and procedural). Innovate in Search & Retrieval: Develop state-of-the-art search and retriever systems involving multi-stage retrieval, novel indexing techniques, and new forms of knowledge representation to ensure agents find the exact needle in the enterprise haystack. Define Agentic Learning: Apply deep expertise in reinforcement learning and reasoning to guide, shape, and advance agentic behavior, enabling them to tackle complex, multi-step tasks reliably. Create Synthetic Worlds: Contribute to the creation of synthetic world models and complex simulation environments where agents can train, experiment, and learn at a massive scale before deploying to production. Architect for Scale: Design, build, and deploy robust, enterprise-grade systems built for a future of trillion-agent interactions, solving for both cloud and on-prem deployments. 04 What we look for Experience: 5+ years of industry or academic experience as a Machine Learning Engineer, Applied Scientist, or Research Scientist. Specialized Expertise: World-class expertise in one of the following areas: Search & Retrieval: Deep experience designing and scaling state-of-the-art systems (e.g., multi-stage retrieval, dense retrieval, novel indexing). Reinforcement Learning & Reasoning: Deep expertise in applying RL to complex tasks, agent-based modeling, or automated planning. Engineering Excellence: Strong software engineering fundamentals and experience building robust, scalable systems in a production environment. You bridge the gap between “research code” and “production infrastructure.” Research to Practice: Proven ability to translate cutting-edge research into practical, high-impact applications. 05 Preferred qualifications A strong track record of publications in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR, SIGIR, KDD, WebConf). Experience building and designing large-scale infrastructure for a “new computing paradigm” (e.g., agent frameworks, vector databases, massive simulation engines). Experience building or working with simulation environments and synthetic data generation. M.S. or Ph.D. in Computer Science, Machine Learning, or a related quantitative field, or equivalent exceptional experience. 06 What we offer Founding Equity: Significant ownership in a company tackling the next layer of the AI stack. Hard Problems: Work on unsolved problems in agentic reasoning, memory, and reinforcement learning. World-Class Team: Collaborate with a dense talent cluster of researchers and engineers who have shipped products serving hundreds of millions of users. Pavo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Apply Sound like you? Send us a note, we read every application. Email rishabh-ml@pavoai.com with the subject “ Application: Research ML Engineer ” and a few lines on what you’ve shipped.
What this role is, and what else it is called
Employers in London advertise this kind of work as Data Analyst, Senior Data Engineer, Data Engineer and Data Scientist too, so it is worth searching more than one wording. It is a mid-level Data, AI & Machine Learning role in London, advertised as on-site.
About hiring at Pavoai
Pavoai has 3 other live technology roles on its careers page, across Cloud & IT Infrastructure, Data, AI & Machine Learning and Cybersecurity. Of those, 50% are advertised as fully remote and 0% as hybrid. Elsewhere in its adverts Pavoai asks for AWS, Google Cloud, Azure, Terraform and Jenkins. We have been observing Pavoai hiring technology staff since July 2026. See all Pavoai roles, salaries and stack.
How this role compares to the market
1,141 live UK roles list Machine Learning right now, from 287 employers. The median advertised salary is £91,755; 41% are advertised as remote. Browse Machine Learning roles.
519 live UK roles list Generative AI right now, from 185 employers. The median advertised salary is £110,000; 38% are advertised as remote. Browse Generative AI roles.
London has 4,324 live IT vacancies across 1,366 employers, with a median advertised salary of £70,000. Browse London roles.
Market figures are today's snapshot of live UK roles on employer careers pages; see hiring trends.
Technologies mentioned
Detected on Pavoai's careers page. ProdReady Recruitment lists this vacancy as an aggregator and is not the employer; applications go to the employer's own site. More IT jobs in London.