Applied AI Engineer

Granola

Hey! We're team Granola 👋   If you haven't already, you should check out what we're building, and why you should work here. We are looking for a self-starting engineer, passionate about applying the latest advancements in LLMs to create user-centric products. In this role, you will stay on top of the latest LLM trends, build evaluation frameworks for AI features, and apply your knowledge with a product-oriented focus. You will be an integral part of the founding team, interacting directly with users to understand their needs and rapidly developing features that deliver significant value. Your work will be pivotal in scaling Granola to its next 100x growth milestone. In this role, you will: * Own the development and application of LLM-based features end-to-end * Build and maintain evaluation frameworks for prompt iteration and semantic retrieval * Optimize embeddings and vector stores for performance and scalability * Interact with users to understand their problems and design solutions * Stay up-to-date with the latest trends in LLMs and applied AI practices * Collaborate with a cross-functional team of engineers, product managers, designers, and other members to create a cutting-edge product Your background looks something like: * Engineering experience at tech and product-driven companies * Shipping multi-provider LLM-based solutions to production (using e.g. OpenAI, Anthropic, Google, etc.) * Proficiency with LLM infra platforms (prompt management, logging/tracing, evals) * Experience designing large-context LLM systems (RAG, knowledge graphs, hybrid search, memory) * Building features end-to-end with TypeScript, React.js, and Node.js As a person, you… * Are first and foremost a builder. * Are excited to work in-person from our office in London (most of the time) * Love working in a startup environment (you either have experience working in a startup or are really drawn to the zero-to-one phase) * Want to be at the cutting edge of building world-class products on top of language models * Are fascinated by LLMs. You love to play with them, figure out what makes them tick and get them to do what you want. You scour the web and reddit for others doing the same (you probably follow @goodside on twitter) * Value working with people who are kind, ambitious and pragmatic About the opportunity We are living in the most exciting time for tool builders since Engelbart's demo in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity. We do our best work in person, and so our team spends time together five days per week in our new, bright, and spacious office at Old Street. We are happy to offer relocation assistance to candidates who'll be moving to London to join us. Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.

32Co

01Health is at an inflection point. The platform is built, revenue is accelerating, and we are moving from a single-specialty company to a multi-vertical specialist healthcare platform, with AI as embedded clinical infrastructure. Our vision is to help all clinicians deliver the latest innovations in healthcare, improving the standard of care for millions of people. Backed by the investors behind Revolut, CityMapper, and Depop, we're scaling fast across the UK and beyond, and are looking for exceptional people to join us on our mission.  What is happening at 01Health right now: Balderton-backed Series A company 90% of UK patients can reach an 01Health–affiliated clinic within 30 minutes All growth has been inbound, ~50% word of mouth 4.98★ customer rating from the dentists who use us Aerox (sleep) ready for national rollout to top-performing 01 Partners, with a 300+ clinic waitlist US expansion live New verticals being tested and prototyped We are not searching for product–market fit anymore. We are ready to dominate the market, and to do it across multiple medical specialties, transforming lives in the process.  The role: We are seeking a Forward Deployed AI Engineer to lead the end-to-end design, development, and scaling of critical product verticals across our platform. You will identify, build, and ship AI-driven features that meaningfully enhance clinician and patient experiences while driving measurable business outcomes. This role sits at the intersection of clinical needs, technical feasibility, and commercial strategy. You will spend most of your time in the codebase, writing and maintaining the technical solutions to the problems you identify, often embedded directly with clinicians and customers. What you will do: Engineering & Delivery Design, build, and ship AI-powered features that improve clinical decision-making, patient outcomes, and operational efficiency. Own the end-to-end feature lifecycle: prototype, production code, deployment, and post-launch optimisation, ensuring quality, performance, and measurable impact. Work directly with clinicians and customers to turn real-world problems into working software, iterating quickly on live feedback. Collaborate with other engineers to keep solutions technically sound, scalable, and maintainable. Applied AI Evaluate emerging AI technologies, prototype rapidly, and define implementation approaches with a bias toward shipping. Translate ambiguous opportunities into concrete technical requirements and working systems. Data-Driven Decision Making Creating and maintaining key feature evals to monitor and improve products you have built. Use quantitative and qualitative insights, including product analytics, user feedback, and clinical research, to prioritise what to build and validate hypotheses. Define and instrument key metrics for feature adoption, effectiveness, and business impact, continuously iterating for optimal outcomes. Customer & Market Insight Conduct hands-on user research to identify unmet needs where engineering can deliver significant value. Benchmark against competitors and emerging AI trends to keep the product innovative. Commercial & Business Impact Connect what you build to strategic outcomes such as user retention, operational efficiency, and revenue growth. Serve as the technical owner for your verticals, communicating progress and impact to stakeholders across the business. What we are looking for: Strong engineering ability and a drive to build; you'd rather ship a working prototype than write a spec about one. Naturally curious about AI, actively seeking opportunities to enhance products and internal workflows through emerging technologies. Comfortable owning features end-to-end, from writing production code to deploying and iterating in front of real users. Strong commercial awareness and an interest in connecting AI opportunities to measurable business outcomes. User-focused and insight-driven, leveraging qualitative and quantitative inputs to inform thoughtful technical decisions. Startup mindset: proactive, adaptable, and energized by working in fast-moving, evolving environments. Location: Able to commute to our London office on Mondays, Wednesdays, and Fridays. Why join us: Real impact, every day - your work directly changes patient outcomes. You'll feel it, and so will the people whose care you're improving. 25 days holiday + your birthday off - because no one should work on their birthday! Outsized leverage and full ownership - real authority today, lasting impact tomorrow; what you build now shapes how this company operates at every stage after. Grow fast - backed by top VCs and built by the best; you'll be learning from some of the sharpest minds in health-tech every single day. Vitality Health cover - private medical insurance, because we take care of the people who take care of the business. Team Perks - enjoy regular team lunches, quarterly socials, and an annual company retreat. Hybrid working - we all come together three days a week, but the rest of the time, enjoy the flexibility to work from home or our Hoxton office.  

Materiom

Contract: Full-time, permanent Location: Hybrid (London office) Level: 2-4 years professional experience Salary: £75K+ depending on experience ABOUT MATERIOM Materiom is an innovation platform for regenerative materials R&D. Our mission is to accelerate the development and adoption of bio-based materials that can replace petrochemical plastics — and have a net-positive impact on the planet. We're a small, interdisciplinary team of around twelve people spanning materials science, AI/ML, software engineering, circular economy, and design. In 2026, we're at an inflection point: moving from an open, philanthropically-funded platform toward a commercial product, while keeping our public-good mission intact. Our core bet is that combining curated experimental data, domain expertise, and AI-based modelling can dramatically cut the time and cost of bio-based materials R&D. The work is genuinely novel. If that sounds like the kind of problem you want to spend your time on, read on. THE ROLE We're looking for a mid-level AI Engineer to work at the intersection of applied ML and applied AI; someone equally comfortable developing predictive models on structured scientific data as they are with building LLM-powered tools and agentic workflows. You'll work within our tech team to contribute across two primary workstreams: * Predictive modelling: developing and iterating on ML models that map bio-based formulation design spaces, and building the MLOps infrastructure to support active learning. * LLMs and agentic systems: developing and evaluating internal & external tooling that integrate Materiom’s data and model intelligence into AI agents and frontier AI product platforms. WHAT YOU'LL DO * Design, build, and deploy ML models for predicting properties of bio-based formulations from structured experimental and literature-mined data. * Develop, operate and maintain pipelines for data mining, model training, evaluation, and active learning workflows against lab equipment/partners. * Build and improve LLM-powered tools and agentic systems. * Deploy ML/AI-driven tooling to project partners, pilot users and beyond in order to gather user feedback. * Run rigorous experiments to compare modelling approaches, interpret results clearly, and iterate toward quality goals. * Contribute to LLMOps and MLOps practices — versioning, monitoring, evaluation, cost/quality optimisation. * Effectively communicate complex technical concepts and findings to multidisciplinary audiences. * Work closely within the tech team and stay closely attuned to product and scientific priorities, translating them into well-scoped technical work. WHAT WE'RE LOOKING FOR You'll need: * Master’s degree in a technical field (e.g., Computer Science, Artificial Intelligence, Machine Learning) * Around 2 to 4 years of professional experience in a data-driven or ML engineering environment. * Solid grounding in ML fundamentals — you understand what's actually happening inside your models, not just how to call the API. * Hands-on experience with structured/tabular data and real-world model development and evaluation. * Practical experience building with LLMs — prompt engineering, RAG, tool use, agentic frameworks and evaluation. * Strong Python skills and good software engineering habits: version control, testing, reproducible pipelines. * Familiarity with a major cloud platform (e.g. GCP). * Excellent problem-solving and analytical skills. * The ability to work with high agency & autonomy in an ambiguous environment. You thrive at shipping progress without needing everything defined upfront. * Experience working in an environment that translates well into a small startup setting. Useful but not required: * Proficiency in getting ML/AI-centric artefacts in front of users for obtaining real-world feedback. * Experience with active learning or closed-loop experimentation workflows. * Familiarity with scientific data from chemistry, materials science, or adjacent domains. * Experience with relevant open-source frameworks. * Background in or genuine curiosity about bio-based materials or sustainability. WHAT WE OFFER Materiom is an impact-focused startup offering a supportive and flexible environment where you can drive the acceleration of net-positive materials using cutting-edge technology. Our benefits include * Competitive Salary: An annual salary range of £75K+, commensurate with your experience and expertise. * Annual Bonuses: Eligibility for performance-based bonuses to reward your contributions to the company’s success. * Generous Paid Time Off: 30 days of paid holiday per year for full-time positions (adjusted pro-rata for part-time positions), in addition to all UK bank holidays. * Learning & Mentorship Grants: An annual individual budget dedicated to developing your hard and soft skills. * Commuter Support: Access to a Bike2Work scheme to support sustainable travel. * Flexible Hybrid Working: A highly flexible scheme that includes weekly days at the office (London) and at home, as well as options for temporary remote work. * International Retreats: Regular company retreats, often held in international locations, to build connection and celebrate progress. * Collaborative team culture: Our culture is defined by deep, interdisciplinary collaboration, offering you the exciting opportunity to work at the intersection of materials science and AI to drive positive impact for people and the planet