Negotiable
Social network you want to login/join with:Permanent | Full-TimeWe’re working with a leading UK-based law firm that’s investing heavily in digital transformation, innovation, and AI. As part of this, we''re recruiting a
Lead Product Engineer
to help shape and deliver scalable products that sit at the intersection of data science, software engineering, and DevOps.If you’re a technically curious builder with a track record of delivering software into production - and you''re ready to take the lead in a collaborative, fast-paced environment - this could be the ideal next step in your career.Key ResponsibilitiesLead the development of innovative digital products from concept through to productionDesign and build scalable, containerised software solutions that incorporate data science componentsMake architectural decisions around tooling, frameworks, and development approachesWork with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred)Collaborate closely with cross-functional teams including product managers, data scientists, and business stakeholdersMentor and support junior engineers, helping to grow technical capability within the teamStay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product deliveryCommunicate clearly and confidently to both technical and non-technical audiencesIdeal Candidate ProfileTechnical Experience5–7 years of professional experience across software engineering, DevOps, or applied data scienceWorking knowledge of
React
(not a frontend role, but an understanding of the stack is important)Hands-on experience with
containerisation (Docker)
and
cloud deployment
(Terraform, microservices, Azure)Exposure to
Jupyter notebooks , and understanding of how machine learning models are developed and deployedExperience in fast-paced or start-up environments where you’ve contributed across the stackDegree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI)Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineeringBonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm to apply this in real-world productsLeadership and Soft SkillsStrong communication and collaboration skillsExperience mentoring junior team membersWillingness to step into a leadership role and grow into the functionPragmatic decision-maker who can weigh trade-offs and work well with product teamsIf you''re looking to join a business that''s serious about building modern, intelligent software solutions - and want to help define how AI and data products are built in a complex, regulated industry - we’d love to hear from ..... full job details .....
Negotiable