Data Scientist

Company DescriptionBrdge is a boutique consultancy and venture studio that partners with leaders to harness accelerating technology in practical, high-impact ways. We bring next-generation capabilities into real-world environments so organisations can move quickly, make informed decisions, and bring everyone along the journey. Through Brdge Launchpad, we work with founders and early-stage teams to shape vision, validate markets, build products, and support go-to-market and investor readiness. Through Brdge Enterprise, we support scaleups, SMEs, and larger enterprises with advisory and engineering to modernise platforms, automate operations, and deliver customer-facing solutions. Across everything we do, we prioritise fast time-to-value, robust engineering, and solutions built to scale.Role DescriptionThis is a full-time AI Engineer role based in London, with a hybrid model that allows for some work from home. We are open to exploring international candidates for the right person. This is an immediate start, so we are looking for someone who can hit the ground running. This role suits an exceptional, high-agency engineer who wants to build across the frontier of applied AI and take real ownership of what ships.You will work across Brdge Launchpad and Brdge Enterprise engagements, building production-grade AI systems and the software around them. The work spans the full lifecycle, from shaping the problem with clients through to shipping, measuring, and iterating. Day to day you will design and build agentic systems and retrieval-augmented generation (RAG) pipelines, apply traditional machine learning where it is the right tool, develop and integrate these into robust web applications using Python and Django, and turn messy, varied data into reliable products and insight. You will collaborate closely with product, engineering, and consulting teams, communicate clearly with technical and non-technical stakeholders, and help embed strong AI and engineering practice into client organisations. We expect you to stay close to a fast-moving field and bring the best current methods, tools, and patterns into real client work.QualificationsStrong software development background, with hands-on experience building and shipping production applications in Python and Django.Practical experience with modern AI systems, including agentic architectures, RAG, and working with large language models in real products.Solid grounding in traditional machine learning, including model building, feature engineering, and knowing when classical methods beat a large language model.Solid foundation in data, including gathering, cleaning, and modelling varied and imperfect datasets, and translating analysis into clear decisions.Excellent communication, able to explain complex technical work simply and build trust with clients and colleagues.Comfortable in fast-paced startup or scaleup environments, with the ownership and pace that involves.Experience with common tooling such as SQL, version control, cloud services, and modern data or ML platforms.Bachelor's or Master's in a technical field such as Computer Science, Engineering, Mathematics, or Statistics, or equivalent practical experience.Bonus points for experience across the full product lifecycle, from early-stage validation through to scaled delivery.DetailsLocation: London preferred, hybrid, open to international candidates for the right fit.Visa: We are unable to offer visa sponsorship, so candidates must already have the right to work in the UK.Start date: Immediate, ideally as soon as possible.Compensation: £2k - £3k plus potential equity.Type: Full-time.