Senior AI Research Engineer

McLaren Automotive

Leamington Spa, United Kingdom

What to Expect

We are recruiting for a Senior AI Research Engineer to join our cutting edge AI team. As a Senior AI Research Engineer, you will lead the development of state-of-the-art AI solutions for automotive innovation, mentor teams, and drive the integration of AI into core business workflows. This role offers hybrid flexibility, with further details available during the application process.

What You'll Do

As a Senior Ai Research Engineer you’ll:

Lead the research, design, and implementation of SOTA AI models (e.g., LLMs, Stable Diffusion) and frameworks for automotive use cases.
Optimise AI models through fine-tuning, pre-training, and RAG approaches, ensuring scalability and performance.
Develop systematic R&D frameworks for evaluating AI solutions and emerging technologies.
Oversee end-to-end data pipeline development (collection, cleaning, standardization) for automotive datasets.
Implement scalable ML workflows and orchestrators on-premises and in cloud environments (AWS, Azure).
Ensure AI solutions comply with data protection, safety, and ethical guidelines.
Mentor cross-functional teams and collaborate with engineering, manufacturing, and simulation teams to embed AI into workflows.
Champion AI adoption across the organization, demonstrating long-term value.
Integrate MLOps/LLMOps practices for seamless model deployment, monitoring, and lifecycle management.

What You'll Bring

Advanced degree (Master’s/PhD) in Computer Science, Computational Science, or Data Science.
4–6 years of experience in deep learning, transformers, and AI model development (language/vision applications).
Hands-on expertise in Python, PyTorch/TensorFlow, LangChain, and open-source contributions (GitHub).
Proven experience with MLOps/LLMOps tools (e.g., MLflow, Kubeflow) and scalable AI deployment.
Strong knowledge of cloud infrastructure (AWS/Azure), GPU/HPC systems, and CI/CD pipelines.
Proficiency in software engineering principles: APIs, algorithms, data structures, and databases.
Leadership skills to mentor teams and collaborate cross-functionally.
Passion for AI ethics, data security, and automotive innovation.