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For Companies At a Glance
- Tasks: Lead the development of innovative digital products and mentor junior engineers.
- Company: Join a leading UK law firm focused on digital transformation and AI innovation.
- Benefits: Enjoy a hybrid work model with competitive salary and opportunities for growth.
- Why this job: Be at the forefront of AI and data science in a collaborative, fast-paced environment.
- Qualifications: 5-7 years in software engineering or DevOps; strong Python skills required.
- Other info: Ideal for those passionate about modern AI tooling and real-world applications.
The predicted salary is between 60000 - 84000 £ per year.
Job Description
Lead Product Engineer
£75,000 per annum
Hybrid | Central London (2–3 days per week in-office)
Permanent | Full-Time
We’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 Responsibilities
- Lead the development of innovative digital products from concept through to production
- Design and build scalable, containerised software solutions that incorporate data science components
- Make architectural decisions around tooling, frameworks, and development approaches
- Work with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred)
- Collaborate closely with cross-functional teams including product managers, data scientists, and business stakeholders
- Mentor and support junior engineers, helping to grow technical capability within the team
- Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery
- Communicate clearly and confidently to both technical and non-technical audiences
Ideal Candidate Profile
Technical Experience
- 5–7 years of professional experience across software engineering, DevOps, or applied data science
- Strong programming skills in Python and familiarity with JavaScript/TypeScript
- Working 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 deployed
- Experience in fast-paced or start-up environments where you’ve contributed across the stack
Background & Education
- Degree 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 engineering
- Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm to apply this in real-world products
Leadership & Soft Skills
- Strong communication and collaboration skills
- Experience mentoring junior team members
- Willingness to step into a leadership role and grow into the function
- Pragmatic decision-maker who can weigh trade-offs and work well with product teams
If 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 you.
Lead Product Engineer employer: Mentmore
Contact Detail:
Mentmore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Product Engineer
✨Tip Number 1
Network with professionals in the legal tech and AI sectors. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends, which can give you an edge in interviews.
✨Tip Number 2
Familiarise yourself with the specific technologies mentioned in the job description, such as Docker, Terraform, and Azure. Consider building a small project that showcases your skills in these areas to discuss during your interview.
✨Tip Number 3
Prepare to demonstrate your leadership and mentoring abilities. Think of examples from your past experiences where you've successfully guided junior engineers or led a project, as this will be crucial for the role.
✨Tip Number 4
Stay updated on the latest developments in AI and data science. Being able to discuss recent advancements or tools like LLMs and Hugging Face can show your passion and commitment to the field during your conversations with us.
We think you need these skills to ace Lead Product Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering, DevOps, and data science. Emphasise your programming skills in Python and any familiarity with JavaScript/TypeScript, as well as your experience with containerisation and cloud deployment.
Craft a Compelling Cover Letter: In your cover letter, express your passion for digital transformation and innovation. Mention specific projects where you've led product development or collaborated with cross-functional teams, showcasing your leadership and communication skills.
Showcase Technical Skills: Include specific examples of your hands-on experience with tools like Docker, Terraform, and Azure. If you have worked with Jupyter notebooks or have knowledge of machine learning models, make sure to highlight this as it aligns with the job requirements.
Prepare for Interviews: Be ready to discuss your approach to architectural decisions and how you mentor junior engineers. Prepare to communicate complex technical concepts clearly to both technical and non-technical audiences, as this is crucial for the role.
How to prepare for a job interview at Mentmore
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, Docker, and cloud deployment. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Demonstrate Leadership Qualities
Since the role involves mentoring junior engineers, share examples of how you've led teams or supported colleagues in previous positions. This will show your readiness to step into a leadership role.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You'll need to communicate effectively with both technical and non-technical stakeholders, so clarity is key.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest developments in AI and data science, particularly LLMs and modern AI tooling. Being able to discuss these topics will demonstrate your passion for the field and your commitment to innovation.
