Senior ML Engineer (Europe/UK - Remote) in London
Senior ML Engineer (Europe/UK - Remote)

Senior ML Engineer (Europe/UK - Remote) in London

London Full-Time 36000 - 60000 £ / year (est.) Home office possible
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At a Glance

  • Tasks: Develop AI and ML solutions for a cutting-edge mental health platform.
  • Company: Join Sword Health, a pioneering tech company transforming healthcare with AI.
  • Benefits: Enjoy competitive salary, unlimited vacation, remote work, and a focus on well-being.
  • Why this job: Make a real impact in mental health while working with innovative technologies.
  • Qualifications: 4+ years in Machine Learning and experience with LLMs in production.
  • Other info: Flexible hours and a creative environment with excellent career growth opportunities.

The predicted salary is between 36000 - 60000 £ per year.

Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere, while significantly reducing costs for payers, self-insured employers, national health systems, and other healthcare organizations. Sword began by reinventing pain care with AI at its core, and has since expanded into women's health, movement health, and more recently mental health. Since 2020, more than 700,000 members across three continents have completed 10 million AI sessions, helping Sword's 1,000+ enterprise clients avoid over $1 billion in unnecessary healthcare costs.

As a member of the Mind team, you will develop AI and ML solutions for our end-to-end mental health platform. Our system manages complete care pathways, from initial assessment and intervention selection to continuous progress monitoring across various therapeutic domains.

In this role, you will help build and maintain our core agent, spanning the full AI stack: prompt engineering, memory orchestration, RAG, agentic workflows, and potentially, model fine-tuning.

What you’ll be doing:

  • Architect & Build: Contribute to designing, evaluating, and shipping our mental health AI Agent and its supporting infrastructure (including safeguards and system alerts).
  • Data Strategy: Develop and maintain robust data pipelines to power model training and evaluation.
  • Collaborate: Partner with AI Research, Product, and Engineering teams to define new features. You will bridge the gap between Research and Engineering, making ongoing knowledge sharing vital.
  • Drive Innovation: Spearhead initiatives to integrate new AI/ML capabilities, navigating technical uncertainty and balancing time-to-value tradeoffs.

What you need to have:

  • ML Expertise: 4+ years of professional experience in Machine Learning, with a track record of deploying and maintaining LLMs in production.
  • LLM Proficiency: A deep understanding of LLM architecture and the orchestration of complex applications (e.g., Claude Code, Codex, OpenCode).
  • Technical Stack: Proficiency in Python and SQL (TypeScript is a plus) alongside modern software development best practices.
  • Leadership: Proven ability to own ambiguous projects from ideation through maintenance, providing technical mentorship to peers.
  • Communication: The ability to translate complex technical concepts for both technical and non-technical stakeholders.

What we would love to see:

  • Experience in fast-paced startup environments;
  • Background in post-training LLMs (SFT, RLHF);
  • Familiarity with cloud platforms like GCP or AWS;
  • Previous AI research experience.

To ensure you feel good solving a big Human problem, we offer:

  • A stimulating, fast-paced environment with lots of room for creativity;
  • A bright future at a promising high-tech startup company;
  • Career development and growth, with a competitive salary;
  • The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare;
  • A flexible environment where you can control your hours (remotely) with unlimited vacation;
  • Access to our health and well-being program (digital therapist sessions);
  • Remote or Hybrid work policy.

Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.

Senior ML Engineer (Europe/UK - Remote) in London employer: Phoenix Court Group

Sword Health is an exceptional employer, offering a dynamic and innovative work environment that prioritises creativity and employee well-being. With a strong focus on career development, competitive salaries, and the flexibility of remote work, employees are empowered to make meaningful contributions to transformative healthcare solutions. Join a talented team dedicated to leveraging AI for mental health, while enjoying unlimited vacation and access to comprehensive health programmes.
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Contact Detail:

Phoenix Court Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior ML Engineer (Europe/UK - Remote) in London

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your ML projects, especially those related to mental health or AI. This will give potential employers a taste of what you can do and set you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of our mission at Sword Health.

We think you need these skills to ace Senior ML Engineer (Europe/UK - Remote) in London

Machine Learning Expertise
LLM Proficiency
Python
SQL
TypeScript
Data Pipeline Development
Technical Mentorship
Communication Skills
Project Ownership
AI/ML Innovation
Collaboration with Cross-Functional Teams
Cloud Platforms (GCP, AWS)
Post-Training LLMs (SFT, RLHF)
Prompt Engineering
Memory Orchestration

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the role of Senior ML Engineer. Highlight your experience with LLMs and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in healthcare and how your background makes you a great fit for our Mind team. Keep it engaging and personal!

Showcase Your Projects: If you've got any cool projects or contributions to open-source that demonstrate your ML expertise, make sure to include them. We love seeing practical applications of your skills, especially in mental health or related fields.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're genuinely interested in joining our team!

How to prepare for a job interview at Phoenix Court Group

✨Know Your ML Stuff

Make sure you brush up on your machine learning knowledge, especially around LLMs and their architectures. Be ready to discuss your past projects and how you've deployed and maintained models in production. This is your chance to showcase your expertise!

✨Showcase Your Collaboration Skills

Since the role involves working closely with AI Research, Product, and Engineering teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you bridged gaps between technical and non-technical stakeholders.

✨Prepare for Technical Questions

Expect some deep dives into technical topics like prompt engineering and data pipelines. Practise explaining complex concepts in simple terms, as this will demonstrate your communication skills and ability to mentor others.

✨Emphasise Innovation and Problem-Solving

Sword Health values innovation, so think of examples where you've driven new initiatives or navigated technical uncertainties. Be ready to discuss how you balance time-to-value trade-offs while integrating new AI/ML capabilities.

Senior ML Engineer (Europe/UK - Remote) in London
Phoenix Court Group
Location: London

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