National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

ML/AI Engineer

Dorian
Greater London
9 months ago
Applications closed

Related Jobs

View all jobs

Intermediate AI Engineer/Data Scientist

Artificial Intelligence Engineer (Manchester)

Artificial Intelligence Engineer

Artificial Intelligence Engineer

MLOps & AI Engineer Lead

MLOps & AI Engineer Lead

Dorian is a no-code platform that empowers creators to turn comics into social games and help millions of unpaid creators monetize their content in a game format!



Summary of Position

  • The ML/AI Engineer will play a critical role in designing, developing, and deploying AI-based solutions to enhance our platform's capabilities, driving innovation, and improving user experiences.
  • We are seeking someone who is ambitious, self-motivated, agile, and adaptable.
  • You must be able to multitask efficiently, be proactive, and thrive in a dynamic, fast-paced environment.



What You’ll Do

  • Design and implement AI-driven features to assist users in creating and improving their content on our platform.
  • Design, train, and deploy machine learning models.
  • Continuously evaluate and improve AI models based on feedback and performance metrics.
  • Preprocess and manage large datasets to prepare for AI model training and evaluation.
  • Integrate AI solutions seamlessly with our platform.
  • Maintain and optimize AI infrastructure on AWS, ensuring scalability, reliability, and cost-effectiveness.
  • Collaborate with team members to understand user needs and translate them into AI solutions.
  • Partner closely with product and design to craft user experiences for Dorian audiences, leveraging modern UI libraries like React and frameworks like Express or Koa.
  • Stay up-to-date with the latest advancements in AI, machine learning, and generative AI to continuously improve the system.
  • Deliver quality code that is self-tested and optimized for performance and scalability.
  • Mentor other engineers to foster a culture of continuous learning and improvement.
  • Conduct code reviews to maintain high code quality and standards.



Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
  • 10+ years of professional experience in software development.
  • 3+ years of AI experience, including developing and deploying machine learning models.
  • 1+ years of experience with generative AI models (e.g., GANs, VAEs, Transformers).
  • 3+ years writing Python code, with experience using machine learning libraries and frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • 2+ years of experience using AWS for cloud deployment and managing of ML systems.
  • Experience with development and implementation of LLM algorithm/systems and large-scale models.
  • Strong skills in data preprocessing, feature engineering, and ability to conduct analysis of model performance via statistics and data visualization.
  • Ability to work independently and manage the entire AI project lifecycle, from conceptualization to deployment.
  • Excellent problem-solving skills and the ability to troubleshoot complex issues.
  • Strong communication skills to effectively collaborate with team members and understand user needs.
  • Strong git skills.



Pluses

  • Game development experience.
  • Experience with TypeScript/JavaScript backend code using Node-based frameworks such as Express or Koa.
  • Experience with building and scaling B2C platforms.
  • Experience developing asynchronous code.



Perks

  • Fast growth and learning opportunity - we ship, learn, and iterate fast!
  • Opportunity to be a part of a venture-funded ambitious team that builds a product that changes lives!
  • Competitive compensation and equity.
  • Flexible location (fully remote)



#LI-Remote

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.