Machine Learning Engineer

Machine Learning Engineer (Up to £180K) – Top VC-Backed Stealth Startup

London (Hybrid working)

Are you ready to drive the next big leap in AI? We’re working with a stealth-mode startup—backed by top venture capitalists—on a mission to make AI more accessible than ever. Their groundbreaking solutions are redefining how industries leverage intelligent systems, accelerating innovation, and unlocking new possibilities in the data-driven world.

If you thrive on ambitious challenges, love pushing boundaries, and are excited to work at the forefront of AI innovation, read on!

What You’ll Do

• Generate & Curate Synthetic Data: Create large-scale synthetic datasets to power advanced AI models.
• Model Training & Evaluation: Train and experiment with state-of-the-art models, assessing data quality to maximize performance.
• Instruction Tuning & Alignment: Refine model instructions, optimize preference alignment, and keep AI systems ahead of the curve.
• Data-Focused Research: Lead initiatives to enhance data quality, improve model outcomes, and push the boundaries of AI development.
• Collaborate & Innovate: Work cross-functionally in a fast-paced environment where your ideas can shape the future of AI.

What We’re Looking For

• Seasoned ML Expertise: 3+ years of hands-on machine learning experience, with a track record of executing end-to-end ML projects.
• Deep Tech Know-How: Strong background in ML, Deep Learning, LLMs, and frameworks like PyTorch.
• Python Proficiency: Bonus points for advanced Python skills.
• Synthetic Data & LLM Chops: Familiarity with synthetic data generation or large-scale LLM training is a plus.
• GPU-Based Training Skills (nice to have): Comfortable spinning up GPU training environments (e.g., Lambda, Runpod, SageMaker).
• Team Player: Thrives in a collaborative environment and loves to share knowledge and ideas.

Why You’ll Love It

• High-Impact Role: Shape the future of AI at a top VC-backed startup poised for rapid growth.
• Competitive Salary: £90k to £180K plus benefits.
• Flexible Working: Enjoy a hybrid model – 3 days in the London office, 2 days WFH.
• Career Growth: Advance your skills alongside an elite team of AI pioneers.
• Cutting-Edge Tech: Access the latest AI innovations and help define new industry standards.

Join a culture that values ingenuity, thrives on collaboration, and celebrates breakthroughs. If you’re eager to push AI to new frontiers, this is your opportunity to make a lasting impact.

Send us your CV and let’s talk about how you can lead this AI revolution.