At a Glance
- Tasks: Lead AI projects, optimise systems, and write production code in a hands-on role.
- Company: Fast-scaling AI business with a global remote team and engineering-led culture.
- Benefits: Up to £185K salary, £60K equity, fully remote work, and direct access to the CTO.
- Other info: No CV needed; apply with your LinkedIn profile for a quick start.
- Why this job: Join a dynamic team solving complex AI challenges and make a real impact.
- Qualifications: Strong Python/PyTorch experience and knowledge of production-scale ML/LLM systems.
The predicted salary is between 185000 - 185000 £ per year.
I'm working on a unique AI role with one of the fastest-scaling AI businesses in the world right now. Up to £185,000 base + roughly £60,000 equity, fully remote globally. There is no office. Around 80 people worldwide. The company has scaled from 0 to 50 million users in around 2 years and is now processing 3 BILLION LLM tokens daily across mostly self-hosted infrastructure.
This is not an “AI wrapper” business. The engineering challenges are difficult:
- inference optimisation
- latency at scale
- RAG/memory systems
- RLHF/fine-tuning
- moderation/alignment systems
They’re looking for a very hands-on AI Tech Lead who still enjoys building systems and writing production code. Strong experience with Python/PyTorch, vLLM, Hugging Face and production-scale ML/LLM systems is essential.
The sort of person likely to fit this role:
- has shipped AI products used by millions
- understands production AI systems at scale
- values shipping quickly and pragmatically
- enjoys ownership and autonomy
Small senior AI team, direct access to the CTO, low bureaucracy and a very engineering-led culture. Most people in the business have come from very successful startups or Tier 1 companies like Palantir, Meta and Anthropic, or companies with an outstanding engineering pedigree like Deel.
This role is open to anyone across the EU, and the company will pay in your local currency. For the ease of my network, the role is advertised in pounds, but the same salary would be paid out in euros etc. £185K is roughly €215K.
No CV needed at this stage. Feel free to apply with your LinkedIn profile and we can cross the CV bridge later.
Lead LLM Engineer in London employer: Tact
Join one of the fastest-scaling AI businesses globally, where you can thrive in a fully remote environment with a competitive salary of up to £185K plus equity. With a strong engineering-led culture and minimal bureaucracy, you'll have direct access to the CTO and the opportunity to work alongside a talented team from top-tier companies, fostering both personal and professional growth in a dynamic and innovative setting.
StudySmarter Expert Advice🤫
We think this is how you could land Lead LLM Engineer in London
✨Tip Number 1
Make sure your LinkedIn profile is up to date and showcases your skills in Python, PyTorch, and LLM systems. Highlight any projects where you've shipped AI products used by millions; this will grab attention!
✨Tip Number 2
Network like a pro! Reach out to connections in the AI space, especially those who have experience in startups or Tier 1 companies. A personal recommendation can make all the difference in landing that interview.
✨Tip Number 3
Prepare for technical interviews by brushing up on inference optimisation and latency at scale. Be ready to discuss your hands-on experience with production AI systems and how you tackle engineering challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s a straightforward process, and we love seeing candidates who are proactive about their applications. Plus, it keeps everything organised on our end!
We think you need these skills to ace Lead LLM Engineer in London
Some tips for your application 🫡
Show Off Your Skills:When you're applying, make sure to highlight your experience with Python, PyTorch, and any production-scale ML/LLM systems you've worked on. We want to see how you've tackled engineering challenges in the past!
Be Authentic:Let your personality shine through in your application. We’re looking for someone who enjoys ownership and autonomy, so don’t be afraid to share your passion for building systems and writing code.
Tailor Your Application:Make sure your LinkedIn profile reflects the skills and experiences that align with the role. We love seeing candidates who understand the unique challenges of AI at scale, so tailor your profile accordingly!
Apply Through Our Website:Remember, the easiest way to apply is through our website! It streamlines the process and ensures we get all the info we need to consider you for this exciting opportunity.
How to prepare for a job interview at Tact
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, PyTorch, and the other technologies mentioned in the job description. Brush up on your knowledge of LLM systems and be ready to discuss your hands-on experience with inference optimisation and latency at scale.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled engineering challenges in the past. Think about times when you’ve shipped AI products used by millions and how you approached those projects. This will demonstrate your ability to handle the complexities of the role.
✨Emphasise Ownership and Autonomy
This company values quick shipping and ownership, so be ready to talk about projects where you took the lead. Highlight instances where you enjoyed working independently and made significant contributions to your team’s success.
✨Cultural Fit is Key
Research the company culture and be prepared to discuss how your background aligns with their engineering-led environment. Mention any experiences from startups or Tier 1 companies that showcase your adaptability and collaborative spirit.
