AI Engineer

Brunswick Group

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.

Abound

About Abound We’re redefining consumer lending in the UK, and beyond. Using advanced AI and Open Banking data, we make fair, affordable personal finance available to more people. While traditional lenders rely almost entirely on credit scores, we look at the full financial picture - how much you spend, and what you can afford to repay to build a deeper, more accurate understanding of each customer's unique financial situation. And we've shown it works at scale. We’ve issued over £1.3bn in loans directly to customers while delivering market-leading credit performance - for every 10 defaults the industry expects, we see only 3. We also reached profitability just 2.5 years after launch. Backed by £2bn+ of funding from top-tier investors including Citi, GSR Ventures, and Deutsche Bank, we’re recognised as one of Europe’s fastest-growing fintechs (Sifted, CNBC). Now, we’re expanding into new markets and product lines - and we’re looking for ambitious people who want to learn fast, take ownership, and grow with us. About The Role We’re looking for a smart, curious, and practical AI Engineer to join our global team in our London office. You’ll work on real-world Generative AI applications, AI agents, and Python-based automation solutions for the consumer lending industry. This role is ideal for someone who wants to turn AI capabilities into measurable business impact, not just build demos. You’ll collaborate closely with our UK and Shenzhen teams to explore, build, evaluate, and integrate AI into customer operations, internal automation, risk workflows, and lending operations.   What You’ll Be Doing * Build Generative AI and AI agent solutions for customer operations, internal automation, and lending operations * Design prompts, workflows, and evaluation processes to make AI systems more reliable and useful * Integrate LLMs with internal tools, APIs, databases, and business systems * Write clean, scalable, and maintainable Python code * Prototype quickly, test ideas, measure impact, and iterate based on real business needs * Collaborate with teams in the UK and Shenzhen to identify high-value AI use cases. * Help improve production reliability through testing, logging, monitoring, fallback handling, and human review where appropriate * Stay up to date with AI trends and propose practical ways to apply them in our business Who you are * Ideally, 1-3 years of hands-on experience in software engineering, AI, machine learning, automation, or related technical work * Strong Python skills, including API integrations, data processing, async programming, and clean code practices * Solid understanding of Generative AI concepts, including LLMs, embeddings, RAG, prompt engineering, structured outputs, and model limitations * Familiar with prompt design patterns, evaluation methods, and techniques for improving reliability and reducing hallucination * Interested in AI agents and workflow design, including tool calling, task planning, memory, orchestration, and human-in-the-loop systems * Comfortable experimenting quickly, learning new tools, and turning ambiguous business problems into working solutions * Able to communicate clearly with both technical and non-technical teams Ways To Stand Out From The Crowd * Practical LLM applications beyond simple chatbots or demos * Experience with RAG, embeddings, structured outputs, function calling, or agentic workflows * Understand how to evaluate AI outputs and improve reliability over time * Worked with cloud AI platforms such as GCP Vertex AI, AWS Bedrock, Azure OpenAI, or similar tools * Experience with financial services, consumer lending, credit risk, collections, or operations automation * Experience with AI coding tools, such as Claude Code, Codex, or Cursor What We Value * Strong problem-solving ability * Curiosity about how AI systems work under the hood * Product sense and business awareness * Bias for action and fast learning * Ownership, pragmatism, and attention to quality What we offer * Everyone owns a piece of the company - equity * Hybrid with 3 days a week in the office * 25 days’ holiday a year, plus 8 bank holidays * 2 paid volunteering days per year * One month paid sabbatical after 4 years * Employee loan * Free gym membership through WellHub * Team wellness budget to be active together - set up a yoga class, a tennis lesson or go bouldering

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