At a Glance
- Tasks: Lead AI integrations for enterprise customers and deliver innovative solutions.
- Company: Fast-growing AI technology business in the life sciences sector.
- Benefits: Competitive salary, fully remote work, and opportunities for professional growth.
- Other info: Join a dynamic team and influence product direction while working remotely.
- Why this job: Make a real impact by solving complex problems with cutting-edge AI technology.
- Qualifications: 6-8 years in ML or software systems, with strong NLP experience.
The predicted salary is between 80000 - 110000 £ per year.
This is an exciting opportunity to join a fast-growing, AI-led technology business working on complex, real-world problems at enterprise scale. The role is ideal for an engineer who enjoys being close to customers, owning delivery end-to-end, and seeing advanced AI solutions live in production.
Our client is an AI-first technology business operating in the life sciences and data space. They work with large enterprise customers globally, helping teams extract value from vast and complex datasets using modern AI and NLP techniques. The business is scaling quickly, with this role created to support growing customer demand and large-scale enterprise deployments.
THE ROLE
- Lead technical delivery for enterprise customers, owning integrations from initial proof-of-concept through to production.
- Design and implement AI-driven integrations, including LLM-powered and agent-based workflows.
- Act as a technical partner to customers, understanding requirements and translating them into scalable solutions.
- Feed customer learnings back into the core platform, influencing product and engineering direction.
- Work closely with internal engineering teams to improve platform capability and robustness.
YOUR SKILLS AND EXPERIENCE:
- 6-8 years' experience building production-grade ML, data or software systems.
- Proven experience deploying NLP or LLM-based features into production environments.
- Strong exposure to RAG, retrieval or recommendation systems.
- Experience working with vector databases and end-to-end LLM workflows.
- Familiarity with graph databases and cloud data platforms.
- Confident communicator with strong stakeholder management skills.
- Consultancy or customer-facing technical experience is advantageous.
SALARY AND BENEFITS
£80,000 - £110,000 base salary. Fully remote working model.
HOW TO APPLY
Please register your interest by sending your CV to Harry Lack through the 'Apply' link.
Forward Deployed AI Engineer in London employer: Harnham - Data & Analytics Recruitment
Join a dynamic AI-first technology business that prioritises innovation and collaboration, offering a fully remote working model that empowers you to thrive. With a strong focus on employee growth, you'll have the opportunity to lead technical delivery for enterprise customers while influencing product direction and enhancing your skills in a supportive environment. Experience the excitement of working on cutting-edge AI solutions that make a real impact in the life sciences and data space.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially in AI and NLP. We want you to be able to discuss how your skills align with their needs, so practice articulating your experience in deploying ML systems and working with complex datasets.
✨Tip Number 3
Showcase your work! If you’ve got projects or contributions to open-source that demonstrate your skills in AI-driven integrations, make sure to highlight them. We love seeing real-world applications of your expertise, so don’t hold back!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re excited to see how you can contribute to our mission, so don’t hesitate to hit that 'Apply' button and get your CV in front of us!
We think you need these skills to ace Forward Deployed AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Forward Deployed AI Engineer role. Highlight your experience with ML, NLP, and any customer-facing roles you've had. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've implemented AI-driven solutions or worked with LLMs. We love seeing real-world examples of your work, so don’t hold back on the details!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, especially when it comes to technical details. Make it easy for us to see your qualifications!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, NLP, and LLMs. Be ready to discuss your experience with deploying these technologies in production environments. The more specific examples you can provide, the better!
✨Understand the Customer's Needs
Since this role involves being a technical partner to customers, it’s crucial to demonstrate your ability to understand and translate customer requirements into scalable solutions. Think of examples where you've done this before and be prepared to share them.
✨Showcase Your Communication Skills
As a confident communicator, you’ll need to highlight your stakeholder management skills. Prepare to discuss how you've effectively communicated complex technical concepts to non-technical audiences in past roles.
✨Be Ready for Technical Challenges
Expect some technical questions or challenges during the interview. Brush up on your knowledge of vector databases, RAG systems, and end-to-end LLM workflows. Practising problem-solving scenarios can help you feel more prepared.
