At a Glance
- Tasks: Lead the design of model evaluation frameworks and post-training pipelines for AI systems.
- Company: Exciting early-stage AI company focused on adaptive intelligence.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Join a lean, high-calibre team with a dynamic and collaborative culture.
- Why this job: Shape the future of AI with cutting-edge technology and innovative research.
- Qualifications: 5+ years in machine learning, strong Python skills, and leadership experience.
The predicted salary is between 85500 - 104500 £ per year.
About the opportunity
We are working with a well-backed, early-stage AI company building next-generation adaptive intelligence. Operating with a lean, high-calibre team, the company is looking for a senior technical leader to architect and own its model evaluation frameworks and post-training pipelines. You will play a pivotal role in shaping both the core technical roadmap and the long-term research direction.
What you will do
- Model Alignment & Fine-Tuning: Design and execute post-training workflows—including preference optimisation, reward modelling, reinforcement learning, and distillation—to build responsive, context-aware systems.
- Dynamic Evaluation Frameworks: Build rigorous evaluation suites capable of assessing nuanced model outputs across varying contexts, constraints, and interaction histories.
- Data & Feedback Pipelines: Architect strategies for curating high-signal training data, leveraging human feedback, demonstrations, critiques, and synthetic trajectories.
- Context & Memory Systems: Evaluate and improve how models retain, prioritise, and adapt to evolving information over extended interactions.
- Error Analysis & Diagnostics: Investigate subtle failure modes, such as over-fitting to narrow contexts, outdated assumptions, and sub-optimal retrieval or conditioning.
What we are looking for
- Experience: 5+ years of industry experience developing production machine learning or large language model systems, with a proven track record of taking complex initiatives from initial concept to deployment.
- Technical Depth: Hands‑on mastery in model post-training, LLM evaluation, preference data curation, reinforcement learning from feedback, or distillation.
- Engineering Excellence: Strong proficiency in Python and modern deep learning frameworks (PyTorch or JAX), backed by solid fundamentals in data engineering, experiment tracking, or inference infrastructure.
- Research Execution: Demonstrated ability to take open-ended research questions, design clean experiments, and translate findings into scalable systems.
- Leadership: Experience setting technical vision and mentoring fellow engineers or researchers.
Senior Founding Engineer in London employer: IC Resources
Join a forward-thinking semiconductor company that values innovation and excellence in digital design. With a strong emphasis on mentorship and professional growth, you'll thrive in a collaborative environment where your leadership will directly impact the success of complex ASIC/FPGA projects. Located in a vibrant tech hub, this role offers unique opportunities to shape methodologies and drive cutting-edge solutions while enjoying a supportive work culture that prioritises employee development.
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We think you need these skills to ace Senior Founding Engineer in London
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
