At a Glance
- Tasks: Lead the development of innovative AI systems for document processing in a dynamic SaaS environment.
- Company: Join a growing SaaS business transforming the legal sector with intelligent technology.
- Benefits: Competitive salary, remote work, private healthcare, and generous holiday allowance.
- Other info: Collaborate closely with a hands-on CTO and a passionate engineering team.
- Why this job: Shape the future of AI architecture and make a real impact on user workflows.
- Qualifications: Strong Python skills and experience in deploying AI/ML applications in production.
The predicted salary is between 81000 - 99000 £ per year.
Are you an experienced AI Engineer who wants to take technical ownership of a new AI platform, rather than simply integrate existing models into applications?
We're working with a growing Saa S business developing intelligent document-processing technology for the legal sector.
They have an established product and are now investing in a new AI layer that will transform how users analyse documents, automate workflows and make complex decisions.
This is an opportunity to work closely with the CTO, shape the technical architecture and take a hands‑on role in building production AI systems.
The Opportunity
You’ll take technical ownership of AI functionality being developed within an existing Saa S platform.
The challenge isn't simply getting an LLM to produce an answer.
It's designing systems that deliver accurate, reliable recommendations, work with complex data and can be maintained and improved in production.
You’ll be involved in
- Designing the architecture for new AI-powered features and services.
- Building production AI/ML systems using Python, NLP and LLM technologies.
- Developing intelligent document-processing and information-extraction capabilities.
- Integrating LLMs and retrieval-based approaches into existing product workflows.
- Designing systems that incorporate user feedback to improve recommendations over time.
- Making architectural decisions around scalability, reliability, latency and cost.
- Building and optimising data pipelines, model evaluation and monitoring.
- Working closely with the CTO and wider engineering team, providing technical direction while remaining hands‑on.
- What We’re Looking For
We’re particularly interested in engineers who have moved beyond prototypes and have genuine experience designing, deploying and maintaining AI systems used in production.
You’ll ideally bring
- Strong commercial Python engineering experience.
- Significant experience building and deploying AI/ML applications in production.
- Experience designing the architecture of complex AI systems.
- Hands‑on experience with NLP, LLMs and modern AI technologies.
- Strong understanding of data engineering and cloud infrastructure.
- Experience building reliable, scalable applications with demanding performance requirements.
- The ability to explain technical decisions and assess different architectural approaches.
- Confidence taking ownership of projects and guiding other engineers technically.
Experience with knowledge graphs, ontologies, recommendation systems, human-in-the-loop learning or LLM fine‑tuning would be particularly interesting.
You don’t necessarily need to have held an Architect or Technical Lead title.
What’s important is that you’ve demonstrated the ability to take ownership of technically complex systems and deliver them into production.
- Salary & Benefits
- Salary: Up to £100,000, depending on experience.
- Bonus: Up to 10% annual performance-related bonus.
- Remote working: Fully remote within the UK.
- Holiday: 25 days annual leave plus UK public holidays.
- Private healthcare: Bupa medical and dental cover.
- Pension: 3% employer contribution, with 5% employee contribution.
- Working hours: Eight-hour working day.
Why Consider This Opportunity?
- Take ownership of the AI architecture within an established Saa S product.
- Work directly with a technically hands‑on CTO.
- Have genuine influence over technical decisions and implementation.
- Solve interesting challenges involving document intelligence, LLMs, knowledge graphs and learning from user feedback.
- Join a growing engineering team with ambitious plans for its AI capabilities.
- Combine hands‑on engineering with the opportunity to provide technical leadership.
This is an excellent opportunity for an experienced AI Engineer, AI Architect or Technical Lead who enjoys solving difficult engineering problems and wants to build AI systems that make a genuine difference to how people work.
Senior AI Engineer / AI Technical Lead in London employer: Avanti Recruitment
Join a forward-thinking technology company that values innovation and collaboration, offering a dynamic work environment for aspiring engineers. With a strong focus on employee development, you will have access to hands-on training and mentorship from experienced professionals in the field, ensuring your growth in ASIC testing and characterisation. Located in the UK, this role provides a unique opportunity to contribute to cutting-edge projects while enjoying a supportive and inclusive workplace culture.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer / AI Technical Lead in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Avanti Recruitment or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Avanti Recruitment.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Avanti Recruitment.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Avanti Recruitment that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior AI Engineer / AI Technical Lead in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Avanti Recruitment.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Avanti Recruitment and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Avanti Recruitment
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Avanti Recruitment uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.