AI engineer (UK)

Writer
London, GB
HybridCareer-pivot friendly

Who this role is best for

Aimed at mid-level AI engineers with production ML experience who thrive in hybrid London settings and cross-functional collaboration.

Best fit for

  • Engineers who bridge research and production, deploying AI at scale.
    β€” β€œtranslating complex research into practical, impactful solutions”
  • Python specialists with cloud-based MLOps implementation experience.
    β€” β€œProficiency in Python and experience with relevant AI/ML frameworks”
  • Candidates prioritizing ethical AI development alongside technical performance.
    β€” β€œChampion responsible AI practices, including bias detection”

Things to consider

  • Hybrid work model requires London hub presence.
    β€” β€œThis role can be hybrid in our London hub”
  • Minimum 5-year production ML experience is non-negotiable.
    β€” β€œ5+ years of professional experience building and deploying machine learning”

How to stand out

  • Demonstrate specific LLM deployment case studies in enterprise environments.
    β€” β€œbuilding and deploying AI agents that are grounded in their company's data”
  • Highlight cloud platform certifications or large-scale system optimizations.
    β€” β€œExperience with cloud platforms (e.g., AWS, GCP, Azure)”
  • Prepare examples of cross-functional collaboration with research teams.
    β€” β€œCollaborate closely with research scientists, data scientists, and product managers”
Pace Β· Fast PacedCollaboration Β· HighAutonomy Β· MediumDecision Impact Β· CompanyLevel Β· Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • architecting AI applications
  • developing intelligent agents
  • deploying AI systems
  • championing responsible AI
Typical background
AI engineeringmachine learningnatural language processing

Skills & requirements

Required

AI EngineeringMachine LearningDeep LearningNatural Language ProcessingCloud Platforms

Preferred

LLM DevelopmentResponsible AI PracticesAI Ethics

Stack & domain

PythonPyTorchTensorFlowJaxCloud PlatformsMlopsMachine LearningDeep LearningNatural Language ProcessingLarge Language ModelsLeadershipCommunicationProblem-solvingTeamworkAIEnterprise Generative Ai

About the role

Original posting from Writer via Ashby

πŸš€ About WRITER

WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.

Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.

πŸ“ About the role

As an AI engineer at WRITER, you'll be at the forefront of shaping how enterprises harness superintelligence. This isn't just about theory; you'll be building tangible AI solutions that power the future of work for hundreds of the world's leading companies. Your work will directly impact the performance, scalability, and ethical alignment of our cutting-edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation with AI that is truly grounded in their data.

This role can be hybrid in our London hub. You'll report to the head of AI engineering.

πŸ¦ΈπŸ»β€β™€οΈ What you'll do

  • 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.

⭐️ What you need

  • 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.

🍩 Benefits & perks (UK full-time employees):

  • 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 https://www.galleri.com/partner/writer
  • Competitive pension scheme and company contribution
  • Annual work-life stipends for:
  • 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

Source: Writer careers (Ashby)

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