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 Doncaster 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 Doncaster
✨Tip Number 1
Make sure your LinkedIn profile is top-notch! Highlight your experience with Python, PyTorch, and any AI products you've shipped. This is your chance to showcase your skills without a CV, so let your profile do the talking.
✨Tip Number 2
Network like a pro! Reach out to connections in the AI space or those who work at companies you admire. A friendly chat can lead to opportunities, and they might even refer you directly to the hiring team.
✨Tip Number 3
Prepare for technical interviews by brushing up on inference optimisation and latency at scale. We recommend doing some hands-on projects or coding challenges to keep your skills sharp and ready for those tricky questions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the easiest way to get your application noticed. Plus, we’re all about making the process smooth and straightforward for you.
We think you need these skills to ace Lead LLM Engineer in Doncaster
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 excited you are about the challenges in this field and why you’re the perfect fit for our team.
Highlight Relevant Experience:Make sure to showcase your hands-on experience with Python, PyTorch, and any production-scale ML/LLM systems you've worked on. We love seeing real examples of your work that demonstrate your skills and achievements!
Be Authentic:Don’t be afraid to let your personality come through in your application. We value authenticity and want to get a sense of who you are beyond just your technical skills. Be yourself!
Apply Through Our Website:Remember, the best way to apply is through our website! It’s super easy, and it ensures your application gets to the right place. We can’t wait to hear from you!
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 specific projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to talk about the engineering challenges you've faced, especially around inference optimisation and latency at scale. Use concrete examples to demonstrate how you tackled these issues and what the outcomes were.
✨Emphasise Your Hands-On Experience
This role is all about being hands-on, so highlight your experience in building systems and writing production code. Share stories that illustrate your ownership and autonomy in previous roles, as this will resonate with their engineering-led culture.
✨Be Ready for a Technical Deep Dive
Expect technical questions that dig deep into your understanding of RAG/memory systems and RLHF/fine-tuning. Prepare to explain your thought process and decision-making in past projects, as they’ll want to see how you think on your feet.
