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- Tasks: Lead the design and operation of AI systems for complex, unstructured documents.
- Company: Innovative medico-legal platform with a focus on AI technology.
- Benefits: £100,000 salary, bonuses, private healthcare, and fully remote work.
- Why this job: Make a real impact in AI while working on challenging, meaningful projects.
- Qualifications: Proven experience with LLM-based systems and strong technical leadership skills.
- Other info: Great career progression opportunities and a chance to mentor junior engineers.
The predicted salary is between 60000 - 84000 £ per year.
This role is for an experienced AI Engineer with proven production experience building LLM-based systems for long, noisy and highly regulated text documentation, ideally in highly regulated domains.
You will take technical ownership of NLP and LLM systems already in live use within a medico-legal platform. The focus is on designing, building, evaluating and operating AI systems that work reliably on complex, unstructured documents, not research prototypes or prompt-only solutions.
You will remain hands-on across the full lifecycle, from problem framing and model design through to deployment, monitoring and iteration in production. You will lead the design and operation of LLM driven systems used to process large volumes of long-form, unstructured and inconsistent text common to healthcare and legal workflows. The work requires strong judgement around accuracy, auditability, explainability and regulatory constraints.
You will act as the technical lead for AI delivery, working closely with MLOps and Data Engineering teams and mentoring junior AI engineers.
- Build and maintain robust evaluation frameworks for accuracy, quality and reliability
- Monitor model behaviour, performance and drift in live environments
- Ensure explainability, auditability and responsible AI practices are embedded by design
- Set technical standards and mentor junior engineers across the AI team
Demonstrable experience building LLM-based systems for long, noisy, document-heavy data in production is required, along with experience designing and running model evaluation and monitoring in production. A clear understanding of explainability, auditability and governance for AI systems is essential.
This role is the technical lead for the AI function, with ownership of delivery quality, standards and mentoring.
Remote engineer employer: Innova Recruitment
Contact Detail:
Innova Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and engineering fields. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with LLM-based systems. Include case studies or projects that highlight your experience with complex, unstructured documents. This will make you stand out when we’re looking for someone with your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your hands-on experience with model design, deployment, and monitoring. We love candidates who can articulate their thought process and demonstrate their problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to our mission in the AI space.
We think you need these skills to ace Remote engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Lead AI Engineer. Highlight your experience with LLM-based systems and any work you've done in regulated domains. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you the perfect fit for our team. Don’t forget to mention your hands-on experience with NLP and model evaluation.
Showcase Your Projects: If you've worked on relevant projects, make sure to include them in your application. We love seeing real-world examples of your work, especially those that demonstrate your ability to handle complex, unstructured documents.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining the StudySmarter family!
How to prepare for a job interview at Innova Recruitment
✨Know Your Stuff
Make sure you brush up on your knowledge of LLM-based systems and NLP. Be ready to discuss your past experiences with complex, unstructured documents, especially in regulated domains like healthcare or legal. This will show that you understand the specific challenges of the role.
✨Showcase Your Leadership Skills
Since this position involves mentoring junior engineers and leading AI delivery, be prepared to share examples of how you've successfully led teams or projects in the past. Highlight your ability to set technical standards and ensure quality in AI systems.
✨Demonstrate Problem-Solving Abilities
Think of specific instances where you've framed problems and designed solutions in production environments. Discuss how you monitor model behaviour and performance, and how you've tackled issues related to accuracy and explainability in your previous roles.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to AI governance, auditability, and responsible AI practices. This not only shows your interest in the role but also demonstrates your understanding of the importance of these aspects in AI systems.
