Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of innovative AI systems and collaborate with talented teams.
- Company: Join a global tech company revolutionising remote work with an all-in-one HR platform.
- Benefits: WorkFlex programme, Well-Being Day, subsidised gym memberships, and training allowances.
- Why this job: Shape the future of AI while enjoying flexibility and a supportive work culture.
- Qualifications: 5+ years in ML/AI Engineering, strong LLM expertise, and leadership skills.
- Other info: Diverse team across 26 countries with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Tired of the 9-to-5 grind? Imagine a world without borders, where opportunities are endless. That’s the future of work, and we’re building it at WorkMotion. Our all-in-one HR platform makes it easy to hire and manage global teams, ensuring compliance and streamlining processes. So whether you’re a digital nomad or a remote-first company, we’ve got you covered. Ready to join the future of work? Let’s build something amazing together. As we value work-life balance, please only apply if you’re based within 2 hours of the Central European Timezone.
Our AI Team is looking for a skilled, innovative, and driven individual to join us as a Tech Lead – ML / AI (LLM Systems & Infrastructure). In this role, you’ll be the go-to person for architecting and implementing scalable, secure, and production-grade AI systems, ensuring our LLM-powered solutions deliver real value to our platform.
Requirements- What You’ll Own
- Architect and evolve LLM-powered RAG pipelines for seamless integration into our platform.
- Lead the technical direction of AI/ML systems, collaborating with backend and data teams.
- Implement robust monitoring, evaluation, and security practices for AI workflows.
- Guide hybrid retrieval, prompt engineering, and embedding strategies.
- Oversee model integration, deployment, and scaling using Docker, FastAPI, and CI/CD.
- Ensure GDPR compliance, RBAC, and audit logging in all AI processes.
- What We’re Looking For
- 5+ years of experience in ML/AI Engineering or MLOps.
- Strong hands-on expertise with LLMs, LangChain, and vector stores (e.g., Qdrant, Pinecone).
- Proven experience deploying RAG or chatbot systems in production.
- Proficiency with FastAPI, Docker, GitHub Actions, and Python packaging.
- Independent decision-making and architectural leadership skills.
- Fluency in English.
- Nice to Have
- Familiarity with LLMOps tools like Langfuse, Weights & Biases, or BentoML.
- Experience with streaming inference or token cost control.
- Knowledge of fine-tuning or prompt-evaluation pipelines.
Our benefits and perks… Global, remote, and thriving: We’re a global team of talented individuals spread across 26 countries. Our WorkFlex program lets you work from anywhere, anytime. Whether it’s a beachside office or a cosy home office, the choice is yours. Your well-being is our priority: We know mental health matters, which is why we offer a dedicated Well-Being Day—a full day off just to recharge and relax. Get fit and stay active: Whether it’s yoga, weightlifting, or a quick jog—work out on your terms, at a discount with our subsidised gym memberships. Learn, grow, and develop: We believe in constant growth. With our Training & Development Allowance, you’ll have all the opportunities you need to keep expanding your skills and knowledge. Stay connected: Take part in exciting annual team meetups! Diversity is our superpower: We are proud to be an equal opportunity employer, committed to fostering a diverse and inclusive workplace. Benefits vary depending on location due to local laws and regulations.
Tech Lead - ML / AI (LLM Systems & Infrastructure) employer: WorkMotion
Contact Detail:
WorkMotion Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Tech Lead - ML / AI (LLM Systems & Infrastructure)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. 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 or GitHub repository showcasing your projects, especially those related to ML/AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios specific to ML/AI. Practice explaining your thought process clearly, as communication is key in tech roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission at WorkMotion.
We think you need these skills to ace Tech Lead - ML / AI (LLM Systems & Infrastructure)
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for AI and ML shine through! We want to see how excited you are about the tech and the impact it can have. Share your journey and what drives you in this field.
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your experience with LLMs, Docker, and FastAPI specifically. We love seeing relevant projects and achievements that align with what we’re looking for!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at WorkMotion
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially LLMs, FastAPI, and Docker. Brush up on your hands-on experience with these tools, as you might be asked to discuss specific projects or challenges you've faced.
✨Showcase Your Leadership Skills
As a Tech Lead, demonstrating your architectural leadership is key. Prepare examples of how you've guided teams in previous roles, particularly in ML/AI projects. Be ready to discuss your decision-making process and how you’ve influenced technical direction.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would architect an LLM-powered RAG pipeline or ensure GDPR compliance in AI workflows. Practising these scenarios can help you articulate your thought process clearly.
✨Cultural Fit Matters
WorkMotion values work-life balance and a diverse workplace. Be prepared to discuss how you align with these values. Share experiences that highlight your adaptability in remote settings and your commitment to fostering an inclusive environment.