
Materiom · London
Contract: Full-time, permanent Location: Hybrid (London office) Level: 2-4 years professional experience Salary: £75K+ depending on experience ABOUT MATERIOM ...
Contract: Full-time, permanent
Location: Hybrid (London office)
Level: 2-4 years professional experience
Salary: £75K+ depending on experience
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.
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:
MLOps infrastructure to support active learning.
intelligence into AI agents and frontier AI product platforms.
literature-mined data.
equipment/partners.
well-scoped technical work.
everything defined upfront.
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
in addition to all UK bank holidays.
options for temporary remote work.
progress.
opportunity to work at the intersection of materials science and AI to drive positive impact for people and the planet
Materiom is seeking a full-time, hands-on Research Scientist to support our in-house experimental data generation efforts, developing protocols on automated platforms, and performing experiments and characterizations on bio-based material systems and natural polymers. The goal is generating the high-quality experimental data that drives our AI/ML-accelerated discovery and modelling platform for sustainable polymeric materials. * Location: London, UK * Role Type: Full-time, on-site * Salary Range: £40K-55K About Materiom Materiom is an impact-focused, non-profit tech startup with the mission to accelerate the research, development, and uptake of bio-based materials that have a net-positive impact on the planet. We do this by building datasets and software tools for scientists, producers, and brands. The Materiom Commons is our open platform, providing a large open database of material formulations and AI features to support a community of 20,000+ scientists, designers, engineers and entrepreneurs to quickly and easily find bio-based solutions for packaging and textiles applications. We are developing our next-generation innovation platform through investments in data mining, predictive models and in-house experimental data generation. Our interdisciplinary team blends deep expertise in circular economy, materials science, AI, and software development, and provides opportunities to learn from a diversity of perspectives. We’re creative optimists driven by a belief in collective action. About the Role This is a hands-on role for someone who thrives in a wet lab, particularly working with testing various polymer formulations and the properties of materials made using these formulations at different processing conditions. The role sits at the intersection of formulation science, polymer and material characterisation, and data-driven experimental design. You will develop protocols for experimental testing with automated liquid-handling platforms, generate clean, structured, high-quality experimental datasets that feed directly into our machine learning workflows, and help shape the feedback loop between physical experiments and predictive models. Key Responsibilities * Plan and run lab-scale formulation experiments on liquid-based biopolymer systems including dispersions and solutions * Characterise liquid formulations using methods such as rheology as well as spectroscopic techniques including FTIR and UV/Vis * Prepare material samples and characterize their physical and chemical properties * Operate and develop methods on automated liquid-handling and high-throughput platforms to increase experimental throughput * Design and perform structured experiments to explore formulation and process variables efficiently and maximise the information gained from each run * Generate clean and well-structured datasets, ensuring data quality and integrity for downstream analysis and modelling * Analyse and interpret experimental results to identify trends and structure–property relationships, using these insights to guide subsequent experiments * Work within machine learning, active learning and agentic AI workflows, translating model-guided recommendations into experiments and feeding results back into the loop * Maintain rigorous lab records, follow good laboratory and chemical-safety practice, create and document protocols for reproducibility * Collaborate with internal scientists, engineers and with external partners to improve and diversify the generated experimental data * Maintain, calibrate and troubleshoot laboratory instruments to keep experimental workflows running reliably Required Qualifications * PhD or MSc in Materials Science, Polymer Science, Chemistry, Chemical Engineering or a related field * Hands-on laboratory experience working with polymers (ideally bio-based / natural), with a demonstrated ability to plan and run experiments and characterisations independently * Practical experience preparing and testing end materials in various forms * Working knowledge of Design of Experiments (DoE) and a structured, data-driven approach to experimentation * A genuinely hands-on, bench-oriented mindset, with strong lab discipline and attention to data quality * Excellent communication skills and the ability to thrive in an interdisciplinary team Preferred Qualifications * Industry experience (corporate or startup) working with polymers, ideally bio-based or natural ones * Experience with automated liquid-handling / high-throughput experimentation platforms or self-driving / autonomous labs, including basic familiarity with computer programming to review and debug orchestration scripts * Exposure to active learning or other data-driven / machine learning approaches to materials and formulation optimisation * Experience scaling formulations and materials from lab to pilot or manufacturing scale 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 £40K-55K, 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, 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. * 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.
OPPORTUNITY Brunswick is on an exciting journey to harness the power of artificial intelligence and data science to enhance the way we work and the advice we provide to clients. As we continue to expand our AI capabilities, we are looking for an AI Engineer to join our growing team. In this role, you will be responsible for designing, developing, and maintaining AI-powered applications that deliver real value across the business. Working closely with our existing AI team, you will help build innovative solutions using modern AI technologies, with a particular focus on large language models (LLMs). This is an excellent opportunity for someone with hands-on experience developing and deploying AI applications who enjoys solving complex problems, working with a high degree of autonomy, and turning emerging technologies into practical, high-quality products. You will thrive in this role if you are curious, creative, and passionate about applying AI to solve real-world business challenges. You take pride in writing robust, maintainable code and enjoy collaborating with colleagues to continuously improve and expand our AI capabilities. ABOUT THE ROLE Your main responsibilities will include: * Support, run, and iterate existing AI applications. * Design, develop, deploy, and maintain new AI applications which can be scaled across multiple business use cases, driving operational and commercial outcomes. * Trial and test solutions with end users to iterate and optimise them. * Research and analyse data sets using a variety of statistical and machine learning techniques. * Track and understand the evolving AI landscape. WHAT WE’RE LOOKING FOR The successful candidate will be a highly professional, well-rounded individual with strong problem-solving skills, engineering expertise, strategic thinking, and excellent interpersonal skills. They will have a strong academic background complemented by an outstanding career to date. Standout candidates will demonstrate: * Experience building solutions with large language models (LLMs) and a deep understanding of the broader generative AI landscape. * Experience designing datasets, conducting model evaluations, and fine-tuning foundation models to improve task-specific performance. * Strong Python development skills, including experience writing production-quality code. * Experience with front-end technologies such as JavaScript, React, HTML, and CSS. * A solid understanding of statistics and machine learning fundamentals. * An undergraduate degree in a quantitative discipline, such as Mathematics or Computer Science, or equivalent relevant industry experience. * Excellent verbal and written communication skills, with the ability to communicate technical concepts effectively to both technical and non-technical audiences. * The ability to thrive in a fast-paced, evolving environment with changing priorities and an iterative, user-focused approach to development. * Curiosity, a strong sense of ownership, and the ability to work effectively both independently and collaboratively. * Previous experience in professional services would be advantageous. * Experience developing cloud applications on Microsoft Azure would be advantageous. * Experience with DevOps practices and tools (e.g. CI/CD, Git) would be desirable. * Knowledge of, or experience with, secure software development practices would be advantageous. WHY JOIN US Whether you are joining a client facing team, a core services team, or starting out on your professional career journey, joining Brunswick unlocks a range of employee benefits to support your financial future, health and wellness, family and community and continuous professional development. ABOUT BRUNSWICK Brunswick is a global advisory firm. We help companies tackle high-stakes issues, navigate complex stakeholder relationships, and deliver high-impact outcomes. Our clients value our ability to anticipate, shape, and respond to the key players and forces in the financial and investment arena, regulatory and geopolitical universe, NGO community, workforce and beyond. They rely on us for deep experience, fresh perspectives and original thinking. So, in Brunswick you will find an exceptional range of experience and talent with a rich mix of backgrounds. From the beginning, we have prioritized attracting, developing, and retaining the best professionals in the industry, united by a culture of inclusivity, excellence, and intellectual curiosity. Founded in 1987 in London, the firm has organically grown to 27 offices in 18 countries across the Americas, Europe, Middle East, Africa, Asia and Australia. We operate as a “one-firm firm” with no individual profit centers. This allows us to assemble fully integrated, bespoke teams for each client, able to draw on the full resources of Brunswick anywhere in the world. Brunswick is an equal opportunity employer. All qualified applicants will be considered without regard to race, religion, color, national origin, gender, sexual orientation, age, disability, pregnancy, genetic information, or any other status protected by applicable law. Please read our Global Privacy Notice to understand how your data is managed.
ABOUT COMMERCETOOLS Real innovation starts with a strong foundation, and at commercetools, that comes from the perfect balance of our product and our people. Behind every leap forward is a collective of builders, explorers, doers, makers, and problem-solvers.The kind of people who not only pioneered a more flexible approach to commerce architecture but also shaped the culture of experimentation that approach unlocked. Together they are the engine of commerce innovation today. At commercetools, we power the next era of autonomous commerce for our customers. Whether it’s AI-driven solutions that help enterprises make smarter business decisions, bridging digital and physical shopping experiences, or enabling entirely new ways for industries to connect with their customers, we help the world’s most ambitious companies experiment, scale, and grow without limits. Here the best idea wins, not the loudest voice. You will have the tools, trust, and space to not only build the future of commerce, but to build your own. YOUR IMPACT You own AI capabilities end-to-end: from the data and context that feed a model, through agent orchestration, to the generative UI a user sees and trusts. You've personally shipped and operated full-stack apps in production, so backend, frontend, data, and ML aren't four teams you coordinate with, they're four things you do. You're not a research scientist; you wield models and engineer ruthlessly around their uncertainty. You will: * Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure * Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs * Render model output into live, streamed, accessible UI via generative-UI protocols * Ground models in real data: retrieval, embeddings, and feedback loops that actually close * Treat evals as a first-class system - provable improvement, not vibes * Take a capability from prompt-in-a-notebook to a measured, guard-railed production feature This role is to based in our hubs - Berlin, Boston, Durham, Munich, London or Valencia. WHAT SETS YOU APART You're a creative problem-solver who is wired to find solutions. You confidently dive into complex challenges and have a talent for making them simple for others. Your curiosity drives you to constantly grow and contribute to an environment of trust and teamwork. Great ideas come from many paths, and your unique perspective matters more than checking every box. What matters most is the mindset you bring to the work. You bring: * Shipped full-stack apps to production and owned them end-to-end: frontend through backend to deploy and operate, not handed off at a layer boundary * 5+ years shipping production software, 2+ building with LLMs in production (real users, not demos) * Hands-on experience with UI protocols (A2UI, AG-UI, MCP-UI, or similar). You've built against a generative/agent-driven UI protocol, not just consumed a REST API * The AI spine: prompt/context engineering, agents, tool use, structured outputs, evals, MCP Python and TypeScript/Node + React; comfortable with async, streaming, and observability * Working fluency with retrieval/embeddings and SQL Nice to Have: * Fine-tuning/distillation, e-commerce or marketplace systems, and a track record in 0→1 OUR BENEFITS Because work and life are connected, our benefits are too. We’ve designed them to give you the security, flexibility, and opportunities you need to focus on what matters most. 🩺 Comprehensive health benefits for you and your dependents, including access to OpenUp for personalized mental health support 📚 Learning and development opportunities including an annual learning budget, access to self-paced learning platforms and language training, personalized coaching, mentorship, and leadership programs 🍼 Family Leave Plus gives you additional fully paid weeks of parental leave on top of government-provided leave, so you can spend more time with your new addition 📈 Our equity participation program allows you to share in our success For more information on our benefits, visit this page. Come as you are. Build with us. Your unique perspective is essential to our success. We are committed to building a team that reflects the world around us because we know it’s the only way to build the future. We celebrate our differences and have created a hiring process that’s fair, inclusive, and designed to let your talent shine. We proudly welcome applicants of every race, color, religion, gender identity, sexual orientation, age, and any other part of your identity that makes you who you are. As an equal opportunity employer, we believe that our strength lies in our diversity, and we invite you to be a part of our global community. For more information on our diversity, equity, inclusion, and belonging practices, visit this page.