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AI engineer (UK)
Writer
Contract type
Ongoing
Work mode
On-site · On-site (see listing for address)
Experience
Senior · 5+ years
Job description
Key details
- Architect, develop, and deploy high-performance, scalable AI applications into production environments, ensuring robust integrations with our end-to-end platform
- Drive the development of intelligent agents and AI-powered features, translating complex research into practical, impactful solutions for our customers
- Collaborate closely with research scientists, data scientists, and product managers to define technical requirements and deliver features that address critical business needs
- Contribute to the research and evaluation of emerging AI technologies, frameworks, and tools to maintain WRITER's leadership in the enterprise generative AI space
- Champion responsible AI practices, including bias detection, explainability, and safety alignment, making sure our AI is trustworthy and ethical
- Company mission
- Information not specified
Primary stack
Core technologies
AWSPython (Programming Language)Google Cloud Platform (GCP)Azure
Benefits
- Generous PTO, plus company holidays
- Comprehensive medical and dental insurance
- Paid parental leave for all parents (16 weeks)
- Fertility and family planning support
- Early-detection cancer testing through Galleri
- Competitive pension scheme and company contribution
- Annual work-life stipends for wellness (gym, massage/chiropractor, personal training, etc.)
- Learning and development stipend
- Company-wide off-sites and team off-sites
- Competitive compensation and company stock options
Requirements & details
- 5+ years of professional experience building and deploying machine learning or AI systems in a production environment
- Proficiency in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX
- A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing the AI lifecycle
- Demonstrated ability to write clean, efficient, and well-tested code for scalable software systems
- Exceptional problem-solving skills and a passion for tackling complex technical challenges with creative AI solutions
- You Connect by collaborating seamlessly across diverse teams, Challenge the status quo to innovate, and Own your projects with a commitment to impact and excellence
- Python, PyTorch, TensorFlow, JAX, AWS, GCP, Azure
- Python (Programming Language)
- AWS
- Google Cloud Platform (GCP)
- Azure