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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
Familiarise yourself with the latest trends in AI and data science, especially around LLMs and agentic AI. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role and the company's direction.
✨Tip Number 2
Network with professionals in the field, particularly those who work in product engineering or at law firms undergoing digital transformation. Engaging with them on platforms like LinkedIn can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with containerisation and cloud deployment in detail. Be ready to share specific examples of how you've used Docker, Terraform, or Azure in past projects, as this will showcase your hands-on expertise.
✨Tip Number 4
Highlight your leadership and mentoring experiences in previous roles. Be prepared to discuss how you've supported junior engineers and contributed to team growth, as this aligns well with the responsibilities of the Lead Product Engineer position.
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 hands-on experience with Docker and cloud deployment.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company’s focus on digital transformation and AI. Mention specific projects where you've led product development or collaborated with cross-functional teams, showcasing your leadership and communication skills.
Showcase Your Technical Skills: Include specific examples of your technical expertise, such as architectural decisions you've made or innovative products you've developed. Highlight your experience with tools like Terraform and Azure, and any exposure to modern AI tooling that aligns with the job description.
Prepare for Interviews: Anticipate questions about your experience in fast-paced environments and your approach to mentoring junior engineers. Be ready to discuss how you stay updated with developments in data science and AI, and how you would integrate these into product delivery.
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 their development. This will show your readiness to step into a leadership position.
✨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 during the interview.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest developments in AI and data science, particularly LLMs and agentic AI. Being able to discuss current trends will demonstrate your passion for the field and your commitment to innovation.
