Principal AI/ML Engineer
Principal AI/ML Engineer

Principal AI/ML Engineer

Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and build AI infrastructure for innovative educational software.
  • Company: Join Everway, a global leader in Neurotechnology software with a mission to empower individuals.
  • Benefits: Enjoy flexible work schedules, competitive salary, and comprehensive health benefits.
  • Why this job: Be part of a passionate team making a real impact in education and accessibility.
  • Qualifications: 5+ years in AI/ML engineering with hands-on experience in production ML systems.
  • Other info: Apply by 27th June 2025 and help unlock the potential of every mind.

The predicted salary is between 43200 - 72000 £ per year.

At Everway (formerly n2y/Texthelp), our goal is to lead the world in Neurotechnology software, helping transform the way we understand and are understood.

We’re a global community of over 550 team members spanning seven countries, including the UK, USA, Norway, Denmark, Sweden, Australia, and New Zealand. By understanding and addressing the unique needs of each individual, we\’re creating a world where differences are recognized and valued. A world where everyone can thrive.

We can only achieve our goals and continue to grow by having high performing people in our team, people who share our goals and are passionate about our mission. We pride ourselves on our core values that are embedded within our culture. These are tobe curious, have courage, and commit fully .

Join us at Everway – together, we can unlock the full potential of every mind.

About the role

As a Principal AI/ML Engineer at Everway, you’ll design and build the core AI infrastructure that powers intelligent functionality across our entire product suite. This is not a narrow MLOps or feature engineering role — you’ll be part of a small, high-impact team responsible for creating foundational AI systems used across content retrieval, content levelling, GenAI orchestration, and multi-language model integration.

You’ll work closely with AI engineers, product teams, and platform engineering to ensure our AI capabilities are reusable, robust, and production-grade — enabling Everway to scale AI impact across learner and educator experiences globally.

Main Responsibilities

  • Design and implement shared AI services (e.g. retrieval, content levelling, model routing, evaluation frameworks)
  • Build and maintain ML model pipelines, embedding infrastructure, and vector search layers
  • Collaborate with product and GenAI teams to integrate AI platform components into live workflows
  • Define and enforce standards for scalable, maintainable AI infra
  • Contribute to model quality evaluation, observability, and safety infrastructure
  • Work across multiple languages and data modalities (text, image, structured input)
  • Participate in architectural reviews, technical planning, and roadmap discussions
  • 5+ years of experience in machine learning, AI infrastructure, or applied ML engineering
  • Proven experience building production ML systems, not just research or prototyping
  • Hands-on experience with vector search, semantic embeddings, and retrieval systems
  • Solid understanding of LLMs and modern GenAI system architectures
  • Experience with model deployment frameworks (e.g. Ray, MLFlow, SageMaker, custom infra)
  • Excellent communication skills and ability to work cross-functionally in a fast-moving environment
  • Experience with multilingual or accessibility-focused NLP
  • Familiarity with content generation or authoring platforms (e.g. CMS integrations)
  • Previous work in education or assistive tech sectors
  • Knowledge of prompt orchestration tools, safety frameworks, and GenAI evaluation approaches
  • Comfortable working in early-stage, high-autonomy environments

Please submit your application on our website by end of day onFriday 27th June 2025.

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Join our team and enjoy a competitive salary with bonus opportunities, flexible work schedules, and comprehensive health and wellness benefits. We offer flexible time off plans, career growth through development programs, and a collaborative, innovative culture where your ideas matter. Ready to make an impact? Apply today and be part of a company that invests in your success!

We are committed to providing a Drug-Free Workplace for all employees.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.

Interested in building your career at Everway? Get future opportunities sent straight to your email.

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Principal AI/ML Engineer employer: Everway

Everway is an exceptional employer that fosters a collaborative and innovative culture, where your ideas are valued and can make a real impact. With competitive salaries, flexible work schedules, and comprehensive health benefits, we prioritise employee well-being and growth through development programmes. Join our global team in the UK and be part of a mission-driven organisation dedicated to transforming neurotechnology and empowering individuals to thrive.
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Contact Detail:

Everway Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Principal AI/ML Engineer

✨Tip Number 1

Familiarise yourself with Everway's mission and core values. Understanding their focus on neurotechnology and the importance of curiosity, courage, and commitment will help you align your discussions during interviews and showcase how you embody these values.

✨Tip Number 2

Network with current or former employees of Everway to gain insights into the company culture and the specific challenges they face in AI/ML engineering. This can provide you with valuable context that you can reference in your conversations with the hiring team.

✨Tip Number 3

Prepare to discuss your experience with production ML systems in detail. Be ready to share specific examples of projects you've worked on, particularly those involving vector search, semantic embeddings, and multilingual capabilities, as these are crucial for the role.

✨Tip Number 4

Stay updated on the latest trends and advancements in AI and machine learning, especially in the context of education and assistive technology. Being knowledgeable about recent developments will demonstrate your passion for the field and your commitment to contributing to Everway's goals.

We think you need these skills to ace Principal AI/ML Engineer

Machine Learning Expertise
AI Infrastructure Design
Production ML Systems Development
Vector Search Implementation
Semantic Embeddings Knowledge
Retrieval Systems Experience
Large Language Models (LLMs) Understanding
GenAI System Architecture Familiarity
Model Deployment Frameworks (e.g. Ray, MLFlow, SageMaker)
Cross-Functional Collaboration
Multilingual NLP Proficiency
Accessibility-Focused AI Solutions
Content Generation Platform Integration
Prompt Orchestration Tools Knowledge
Safety Frameworks and Evaluation Approaches
Strong Communication Skills
Adaptability in Fast-Paced Environments
Architectural Review Participation
Technical Planning and Roadmap Development

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in AI and ML engineering. Focus on your hands-on experience with production ML systems, vector search, and semantic embeddings, as these are crucial for the role.

Craft a Compelling Cover Letter: In your cover letter, express your passion for neurotechnology and how your values align with Everway's core principles of curiosity, courage, and commitment. Mention specific projects or experiences that demonstrate your ability to contribute to their mission.

Showcase Technical Skills: Clearly outline your technical skills related to AI infrastructure, model deployment frameworks, and multilingual NLP. Use specific examples to illustrate your expertise and how it can benefit Everway's product suite.

Highlight Collaborative Experience: Since the role involves working closely with cross-functional teams, emphasise any previous collaborative projects. Describe how you effectively communicated and worked with others to achieve common goals, particularly in fast-paced environments.

How to prepare for a job interview at Everway

✨Showcase Your Technical Expertise

As a Principal AI/ML Engineer, it's crucial to demonstrate your deep understanding of machine learning and AI infrastructure. Be prepared to discuss your experience with building production ML systems, vector search, and semantic embeddings. Highlight specific projects where you've successfully implemented these technologies.

✨Emphasise Collaboration Skills

This role requires working closely with various teams, so showcasing your ability to collaborate effectively is key. Prepare examples of how you've worked cross-functionally in the past, particularly in fast-paced environments. Mention any experience you have in integrating AI components into live workflows.

✨Align with Company Values

Everway values curiosity, courage, and commitment. During your interview, reflect on these values and share personal anecdotes that illustrate how you embody them. This will show that you're not just a technical fit but also a cultural one.

✨Prepare for Technical Questions

Expect to face technical questions related to AI systems, model deployment frameworks, and multilingual NLP. Brush up on relevant concepts and be ready to solve problems on the spot. Practising with mock interviews can help you feel more confident.

Principal AI/ML Engineer
Everway
E
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