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 and enjoy low bureaucracy.
- Why this job: Join a dynamic team solving complex AI challenges and make a real impact.
- Qualifications: Strong Python/PyTorch experience and a background in 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, you get the idea.
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 Bath 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 Bath
✨Tip Number 1
Make sure your LinkedIn profile is up to date and showcases your skills in Python, PyTorch, and LLM systems. Highlight any AI products you've shipped that have been used by millions; this will grab their attention!
✨Tip Number 2
Network like a pro! Reach out to connections in the AI field or those who work at companies you admire. A friendly chat can lead to referrals or insider info about the role you're eyeing.
✨Tip Number 3
Prepare for technical interviews by brushing up on inference optimisation and latency at scale. Practise coding challenges related to production AI systems to show you're hands-on and ready to 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 eager to join our innovative team. Plus, it keeps everything organised on our end!
We think you need these skills to ace Lead LLM Engineer in Bath
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We want to see how your experience aligns with the challenges we're tackling, like inference optimisation and RLHF. Make it personal and engaging!
Highlight Relevant Experience:Be sure to showcase your hands-on experience with Python, PyTorch, and production-scale ML systems. We’re looking for someone who has shipped AI products used by millions, so don’t hold back on those achievements!
Keep It Concise and Clear:While we love a good story, keep your application focused and to the point. Highlight your key skills and experiences that relate directly to the role. Remember, clarity is key in making a strong impression!
Apply Through Our Website:We encourage you to apply through our website using your LinkedIn profile. It’s super easy and helps us streamline the process. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Tact
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, PyTorch, and Hugging Face. Brush up on your knowledge of production-scale ML systems and be ready to discuss your hands-on experience with them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific engineering challenges you've faced, especially around inference optimisation and latency at scale. Use examples from your past work to demonstrate how you tackled these issues and what the outcomes were.
✨Emphasise Ownership and Autonomy
This role values quick shipping and ownership, so be ready to share instances where you took the lead on projects. Highlight how you enjoy working independently and making decisions that drive results.
✨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 high-performing teams that showcase your adaptability and collaborative spirit.
