About this role
Enterprises struggle to effectively orchestrate AI-powered work while keeping large language models grounded in proprietary company data. Writer addresses this challenge by hiring an AI engineer in London to build tangible AI solutions that power the future of work for hundreds of leading companies. The engineering team focuses on developing scalable AI applications, intelligent agents, and trustworthy features that unite IT and business teams. Reporting to the head of AI engineering, the incoming person will architect, develop, and deploy high-performance systems into production environments while championing responsible AI practices.
Candidates joining the London hub will collaborate closely with research scientists, data scientists, and product managers to translate complex research into practical customer solutions. Ideal builders are hardworking, self-directed professionals with a strong foundation in machine learning principles and natural language processing. Anyone who thrives in a fast-paced environment and enjoys tackling complex technical challenges with creative AI solutions will do well in this position.
What you will do
- Architect, develop, and deploy high-performance, scalable AI applications into production environments with robust platform integrations.
- Drive the creation of intelligent agents and AI-powered features by translating complex research into practical customer solutions.
- Partner with research scientists, data scientists, and product managers to define technical requirements and deliver impactful features.
- Research and evaluate emerging AI technologies, frameworks, and tools to maintain leadership in enterprise generative AI.
- Champion responsible AI practices such as bias detection, explainability, and safety alignment to ensure trustworthy ethical outputs.
What you need
- Bring five or more years of professional experience building and deploying machine learning or AI systems in production.
- Demonstrate proficiency in Python along with experience using frameworks like PyTorch, TensorFlow, or JAX.
- Possess a strong foundation in machine learning principles, deep learning architectures, and natural language processing with large language models.
- Show hands-on experience using cloud platforms and MLOps tools for managing the complete AI lifecycle.
- Write clean, efficient, and well-tested code for scalable software systems.
Benefits
- Generous PTO plus company holidays
- Comprehensive medical and dental insurance
- Paid parental leave for all parents (16 weeks)
- Fertility and family planning support
- Competitive pension scheme and company contribution
- Annual work-life stipends for wellness and learning
Skills and tech stack
Questions candidates ask
Where is this job located and what is the work policy?
This role can be hybrid in the London hub. Writer also maintains office hubs in San Francisco, New York City, Seattle, Austin, and Chicago.
Who will I report to in this role?
You will report directly to the head of AI engineering. Your work will involve collaborating closely with research scientists, data scientists, and product managers.
What tools and technologies will I be working with?
You will use Python alongside AI and machine learning frameworks such as PyTorch, TensorFlow, or JAX. The tech stack also includes cloud platforms like AWS, GCP, or Azure, and MLOps tools for managing the AI lifecycle.