> Markdown version of [/jobs/ext/2459891-aiml-research-lead-machine-learning-mlr](https://www.wearedevelopers.com/jobs/ext/2459891-aiml-research-lead-machine-learning-mlr). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AIML - Research Lead (Machine Learning), MLR

- **Company:** Apple Inc.
- **Location:** Cambridge, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Neural Networks, Machine Learning, Performance Tuning, Pytorch, Large Language Models, Deep Learning, Information Technology, AISTATS, Stable Diffusion, Software Coding, Artificial Intelligence Markup Language (AIML)
- **Published:** August 20, 2026
- **Apply:** https://jobs.theguardian.com/job/10176823/aiml-research-lead-machine-learning-mlr/

## About the Role

* PhD, or equivalent practical experience, in Computer Science, or related technical field Demonstrated expertise in machine learning research.
 * Ability to formulate a research problem, design, experiment, implement and communicate solutions.
 * Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AISTATS, CVPR, ICCV, ECCV, ACL, EMNLP, etc).
 * Proven experience leading research teams and mentoring or managing researchers., * Hands-on experience working with deep learning toolkits such as JAX, PyTorch or MLX
 * Strong mathematical skills in differential calculus, probability, statistics.
 * Strong coding skills, as exemplified by e.g. OSS contributions, and ability to maintain a coherent and evolving codebase.
 * Ability to work as a team player in a diverse collaborative environment.
 * You have proposed through previous publications impactful methods in areas of interest to the group, such as generative modeling (flow matching, diffusion, etc.), LLM/VLM training/fine-tuning/inference, neural network theory, or scaling laws.

## Description

Play a part in building the next revolution of machine learning technology. We're looking for a passionate researchers with team leadership experience to work on ambitious curiosity-driven long-term research projects that will impact the future of Apple, and our products. In this role, you'll have the opportunity to work on innovative foundational research in machine learning focusing on LLMs and generative models. As a leader of and active participant in the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers, and publish your results in high-quality scientific venues., You have a strong research background in machine learning or related fields, and regularly publish your results in the main relevant conferences, and make sure that your research results are of high quality and reproducible. You will define your research plan to advance our understanding of machine learning and execute it through implementation and experimentation, in collaboration with your colleagues. You have experience mentoring researchers and the skills to guide complex research projects to meaningful conclusions, including preparing technical reports for publication and delivering conference talks. You will have the opportunity to collaborate with broader teams across Apple.


## Related Videos

- [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning)
- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery)
- [How AI Models Get Smarter](https://www.wearedevelopers.com/videos/1374-how-ai-models-get-smarter)
- [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models)

## Related Articles

- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)