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- Tasks: Develop AI solutions and work directly with clients to solve real-world problems.
- Company: Rapidly growing Legal AI software company transforming the legal industry.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities in a fast-paced environment.
- Why this job: Join a cutting-edge team and make a tangible impact in legal technology.
- Qualifications: Experience in AI/ML, strong communication skills, and customer-facing engineering experience.
The predicted salary is between 60000 - 80000 ÂŁ per year.
Location: London (Hybrid, 2–3 days onsite)
Company: Late-Stage Scaleup in Legal AI Software
Our client, a global rapidly expanding Legal AI software company backed by top-tier investors, is transforming how legal teams operate through intelligent automation and applied AI. They are hiring 2 x customer‑facing, hands‑on Python Engineer / Data Scientists to join their brand new Forward Deployed team in London. This role sits at the intersection of engineering, data, and client delivery, ideal for someone who thrives in technical problem‑solving while working directly with enterprise customers. You should expect the role to be 50% hands‑on coding. As a Forward Deployed technologist, you will work with real customers on real problems, delivering bespoke, high‑impact solutions.
Responsibilities
- Working closely with Technical and Legal Architects to qualify, scope, and execute bespoke client development requests.
- Rapidly prototyping solutions using APIs, large language models, and supporting technologies to demonstrate feasibility and value.
- Building and adapting integrations that fit into complex client environments, ensuring smooth onboarding and adoption.
- Engaging directly with client technical teams to troubleshoot, debug, and optimise deployments in real time.
- Translating experimental R&D concepts into production‑quality code that can evolve into productised features.
- Maintaining a strong feedback loop between client engagements and core engineering to ensure real‑world learnings influence the product roadmap.
- Balancing speed and stability, knowing when to produce a quick proof of concept and when to harden code for long‑term reliability.
- Collaborating with legal architects, product managers, and researchers to push the boundaries of AI‑enabled legal technology.
Qualifications
- Experience with AI/ML workflows, NLP, or LLM‑driven solutions.
- Strong communication skills and confidence working directly with both technical and non‑technical customer stakeholders.
- Ability to own problems end‑to‑end, from diagnosis to delivery.
- Experience in a customer‑facing engineering / forward‑deployed environment.
- Bonus: exposure to legal tech, enterprise SaaS, or complex integration projects.
Please apply with your CV if interested. If you have any exposure to Legal Tech please email for faster review.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industries: Legal Services
AI/ML Engineer (Customer Facing, FDE, Python AI Agent/LLM) in England employer: The Developer Link
Contact Detail:
The Developer Link Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer (Customer Facing, FDE, Python AI Agent/LLM) in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in legal tech or AI. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. You never know where a casual chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, AI, or ML. This is your chance to demonstrate your hands-on coding abilities and problem-solving skills to potential employers.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to customer-facing roles. Think about how you would approach real-world problems and be ready to discuss your thought process and solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace AI/ML Engineer (Customer Facing, FDE, Python AI Agent/LLM) in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role. Highlight your experience with AI/ML workflows and any customer-facing projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled technical challenges in the past. We love seeing candidates who can own problems from diagnosis to delivery, so don’t hold back on those success stories!
Communicate Clearly: Since this role involves working with both technical and non-technical stakeholders, make sure your application reflects strong communication skills. We appreciate clarity and confidence in your writing, so keep it straightforward and engaging.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at The Developer Link
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills, especially in AI/ML workflows and NLP. Be ready to discuss your past projects and how you've tackled technical challenges, as this role is all about hands-on coding and problem-solving.
✨Understand the Client's Needs
Since this position is customer-facing, it's crucial to demonstrate your ability to engage with clients. Research the company’s products and think about how you can add value to their client interactions. Prepare examples of how you've successfully communicated with both technical and non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific instances where you've diagnosed and solved complex problems. Think about how you can translate experimental concepts into production-quality code, as this will be a key part of your role.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to AI in legal tech, their product roadmap, and how they handle client feedback. This shows your genuine interest and helps you assess if the company is the right fit for you.