AI Engineer

Writer

. Architect, develop, and deploy high-performance, scalable AI applications into production environments .

Posted 11/4/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in architecting, developing, and deploying scalable AI applications, with a strong foundation in machine learning principles and proficiency in Python. Demonstrated ability to collaborate across teams and drive the development of intelligent agents while championing responsible AI practices.

Highest-signal resume keywords

Machine Learning Systems DeploymentPython ProficiencyAI/ML Frameworks (PyTorch, TensorFlow, JAX)Cloud Platforms (AWS, GCP, Azure)MLOps Tools Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep Learning ArchitecturesNatural Language ProcessingLarge Language ModelsClean Code PracticesScalable Software Systems

Soft Skills

Problem-SolvingCollaborationCreative SolutionsCommitment to Excellence

Tools & Technologies

PyTorchTensorFlowJAXAWSGCPAzureMLOps Tools

Industry Keywords

AI ApplicationsResponsible AI PracticesBias DetectionExplainabilitySafety Alignment

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Architect, develop, and deploy high-performance, scalable AI applications into production environments
Ensure robust integrations with WRITER's end-to-end platform
Drive development of intelligent agents and AI-powered features
Translate complex research into practical solutions for customers
Collaborate with research scientists, data scientists, and product managers to define technical requirements and deliver features addressing business needs
Contribute to research and evaluation of emerging AI technologies, frameworks, and tools
Champion responsible AI practices, including bias detection, explainability, and safety alignment
Report to the head of AI engineering

Requirements

What you’ll need

5+ years of professional experience building and deploying machine learning or AI systems in a production environment
Proficiency in Python
Experience with AI/ML frameworks such as PyTorch, TensorFlow, or JAX
Strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models
Experience with cloud platforms such as AWS, GCP, or Azure
Experience with 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
Ability to collaborate seamlessly across diverse teams, challenge the status quo, and own projects with a commitment to impact and excellence
Must be legally authorized to work in the country in which the job is located
Must be at least 18 years of age

Benefits

Comp & perks

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
Wellness stipend for gym, massage/chiropractor, personal training, etc.
Learning and development stipend
Company-wide off-sites and team off-sites
Competitive compensation and company stock options