At a Glance
- Tasks: Design and build AI infrastructure for innovative software solutions.
- Company: Everway is a global leader in Neurotechnology software, fostering inclusivity and understanding.
- Benefits: Enjoy flexible work schedules, competitive salary, and comprehensive health benefits.
- Why this job: Join a passionate team making a real impact in education and assistive technology.
- Qualifications: 5+ years in AI/ML engineering with hands-on experience in production systems.
- Other info: Work remotely in a high-autonomy environment with opportunities for career growth.
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
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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.
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We want to ensure all candidates have every opportunity to shine. With this in mind, please let us know if you require any reasonable adjustments as part of the hiring process. Select…
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All candidates must have the right to work in the UK by the first day of employment. The Company holds a UK visa sponsorship licence, but there may be cases where sponsorship cannot be offered. This could be due to salary constraints or when there are sufficient settled candidates, resulting in a lack of a genuine vacancy for sponsorship. We encourage all applicants to verify their eligibility to work in the UK independently. Please note that The Company is unable to sponsor visas for roles where sponsorship is not available. * Select…
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Principal AI/ML Engineer Remote- UK employer: Everway
Contact Detail:
Everway Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal AI/ML Engineer Remote- UK
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially in neurotechnology. This will not only help you understand the company's mission but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with current or former employees of Everway on platforms like LinkedIn. They can provide insights into the company culture and the specific skills that are highly valued, which can give you an edge in your application.
✨Tip Number 3
Prepare to discuss your experience with building production ML systems in detail. Be ready to share specific examples of projects you've worked on, particularly those involving vector search and semantic embeddings, as these are crucial for the role.
✨Tip Number 4
Showcase your ability to work cross-functionally by preparing examples of past collaborations with product teams or engineers. Highlighting your communication skills and teamwork will resonate well with Everway's values.
We think you need these skills to ace Principal AI/ML Engineer Remote- UK
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Principal AI/ML Engineer position. Tailor your application to highlight relevant experience in AI infrastructure and machine learning.
Highlight Relevant Experience: In your CV and cover letter, emphasise your 5+ years of experience in machine learning and any specific projects that demonstrate your ability to build production ML systems. Mention your hands-on experience with vector search and semantic embeddings.
Showcase Communication Skills: Since the role requires collaboration with various teams, include examples in your application that showcase your excellent communication skills and ability to work cross-functionally in fast-paced environments.
Align with Company Values: Everway values curiosity, courage, and commitment. Make sure to reflect these values in your application by sharing experiences that demonstrate your passion for innovation and your dedication to making a positive impact.
How to prepare for a job interview at Everway
✨Showcase Your Technical Expertise
As a Principal AI/ML Engineer, you'll need to demonstrate your deep understanding of machine learning and AI infrastructure. Be prepared to discuss specific projects where you've built production ML systems, focusing on the technologies and frameworks you've used.
✨Emphasise Collaboration Skills
This role requires working closely with various teams. Highlight your experience in cross-functional collaboration, especially how you've integrated AI components into live workflows. Share examples that showcase your communication skills and teamwork.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Prepare to discuss how you've approached complex problems in the past, particularly in areas like model quality evaluation or safety infrastructure. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Align with Company Values
Everway values curiosity, courage, and commitment. Research these core values and think about how they resonate with your own work ethic. Be ready to share instances where you've embodied these values in your professional journey.