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. Desirable: Experience with AI-driven agents, workflow automation, or UI development. Familiarity with automotive datasets or simulation tools. Contributor to open-source projects e.g. github
What We'll Do for You
We offer a wide – ranging benefits package, which includes:Structured career development framework25 days’ holiday, plus bank holiday. Annual buy & sell up to five daysEnhanced company pension schemeDiscretionary annual bonus awardPrivate medical insurance and health cash planLife assurance benefitAbility to apply for a sabbatical of up to one year after only two years’ serviceBenefits you can adapt to your lifestyle, such as discounted shoppingGenerous parental leave policiesA range of wellbeing initiatives, such as employee assistance programme and free financial & mortgage advice
Who Are We?
No restraints. No limitations. We don’t simply push boundaries. We completely rethink them. McLaren Automotive exists to create breath-taking performance road cars.It takes a community to do what we do. A diverse group of people with many areas of expertise, united by their passion to deliver visionary products and set new benchmarks. McLaren Automotive commits to equal opportunity for all. Diversity, Equality and Inclusion is at the heart of our impact, it drives our innovation and enables us to truly create something special. Join us on our journey.
For more detail, salary and company information, use the apply link
