AI Research Scientist (Europe/UK - Remote)
AI Research Scientist (Europe/UK - Remote)

AI Research Scientist (Europe/UK - Remote)

Full-Time 60000 - 80000 £ / year (est.) Home office possible
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At a Glance

  • Tasks: Conduct groundbreaking AI research to revolutionise healthcare and improve patient outcomes.
  • Company: Join Sword Health, a leader in AI-driven healthcare innovation.
  • Benefits: Enjoy flexible hours, remote work, equity shares, and comprehensive health benefits.
  • Why this job: Make a real impact in healthcare by developing cutting-edge AI solutions.
  • Qualifications: PhD in AI-related field and experience with large language models required.
  • Other info: Collaborate with top-tier teams in a dynamic, fast-paced environment.

The predicted salary is between 60000 - 80000 £ 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. Backed by 42 clinical studies and over 44 patents, Sword Health has raised more than $500 million from leading investors, including Khosla Ventures, General Catalyst, Transformation Capital, and Founders Fund.

At Sword, we operate as both a clinical-centric frontier AI lab and an applied AI platform, conducting the foundational research that makes clinical AI possible, then putting it into practice through platforms that treat patients directly. Our AI Research team builds the core intelligence behind Dawn and Phoenix, our continuous, always-on care agent. Healthcare demands AI that goes far beyond answering questions or completing tasks. It requires systems capable of sustained engagement across dozens of interactions, understanding a patient’s history, perceiving their present state, and guiding their recovery over weeks and months. To make this possible, we are pushing the boundaries of memory systems, multimodal perception (video, audio, wearable signals), and multi-turn reinforcement learning for long-horizon treatment planning. We are building a category of AI product that has never existed before, AI that provides real clinical care autonomously, at scale.

What you’ll be doing:

  • Design and execute research on LLM fine-tuning, alignment, and post-training methods (SFT, RLHF) tailored for clinical and therapeutic domains;
  • Develop and improve foundational AI models that power our AI agents, spanning language, vision, speech, and multimodal systems;
  • Contribute to the full model development cycle: dataset curation and annotation, architecture design, training, evaluation, and iteration;
  • Collaborate across AI Engineering, Product, and Clinical teams to translate research breakthroughs into production systems that deliver patient care;
  • Work towards long-term ambitious research goals, such as clinical memory, long-horizon planning, and safety validation, while identifying and delivering immediate milestones;
  • Advance the field by publishing in top-tier AI venues and clinical journals, contributing to Sword’s growing body of peer-reviewed research.

What you need to have:

  • A PhD in Computer Science, Machine Learning, Natural Language Processing, or a closely related AI field;
  • Hands-on experience fine-tuning large language models (pre-training, SFT, RLHF, or related post-training techniques);
  • A strong publication track record in peer-reviewed AI conferences or journals;
  • Proficiency in Python and deep experience with modern ML frameworks (e.g., PyTorch, JAX);
  • Demonstrated ability to design rigorous experiments and interpret their results.

What we would love to see:

  • First-author publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, COLM, CVPR);
  • Deep expertise in one or more of: large language models, reinforcement learning from human feedback, multimodal learning (vision, speech), or agentic AI systems;
  • Experience building or contributing to LLM-based agents, including prompt engineering, memory orchestration, or agentic workflows;
  • A track record of taking research ideas from conception to working systems, including developing and debugging complex ML pipelines;
  • Industry experience during or after the PhD (e.g., research internships at leading AI labs);
  • Comfort with ambiguity and a track record of delivering results in fast-moving, high-uncertainty environments where research and product development happen in parallel;
  • Strong communication skills and a history of effective cross-functional collaboration;
  • A broader record of research excellence demonstrated through grants, fellowships, patents, or impactful open-source contributions.

Location: We welcome applications from candidates across Europe and the UK. We have a preference for candidates based in London, UK, or Lisbon / Porto, Portugal, where our research team is primarily located and where we have active offices, but exceptional candidates elsewhere in Europe will absolutely be considered.

Portugal - Sword Benefits & Perks:

  • Health, dental and vision insurance
  • Meal allowance
  • Equity shares
  • Remote work allowance
  • Flexible working hours
  • Work from home
  • Discretionary vacation
  • Snacks and beverages
  • English class

Note: Please note that this position does not offer relocation assistance. Candidates must possess a valid EU visa and be based in Portugal. 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.

AI Research Scientist (Europe/UK - Remote) employer: Phoenix Court Group

Sword Health is an exceptional employer, offering a dynamic work culture that thrives on innovation and collaboration. With a focus on employee growth, we provide opportunities to engage in groundbreaking research while contributing to meaningful healthcare solutions. Our flexible working hours, remote work allowance, and comprehensive benefits package ensure that our team members can achieve a healthy work-life balance while making a significant impact in the AI healthcare space.
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Contact Detail:

Phoenix Court Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Research Scientist (Europe/UK - Remote)

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with current employees at Sword Health. A friendly chat can sometimes lead to opportunities that aren’t even advertised!

✨Tip Number 2

Show off your skills! Prepare a portfolio or a project that highlights your experience with LLM fine-tuning or reinforcement learning. This hands-on demonstration can really set you apart during interviews.

✨Tip Number 3

Practice makes perfect! Get comfortable with common interview questions related to AI research and clinical applications. Mock interviews with friends or mentors can help you nail your responses.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Sword Health team!

We think you need these skills to ace AI Research Scientist (Europe/UK - Remote)

Large Language Models (LLM) fine-tuning
Reinforcement Learning from Human Feedback (RLHF)
Natural Language Processing (NLP)
Machine Learning (ML)
Python programming
Deep learning frameworks (e.g., PyTorch, JAX)
Experiment design and result interpretation
Multimodal learning (vision, speech)
Agentic AI systems
Cross-functional collaboration
Research publication in peer-reviewed conferences
Dataset curation and annotation
Model architecture design
Complex ML pipeline development

Some tips for your application 🫡

Show Your Passion for AI: When writing your application, let your enthusiasm for AI and its potential in healthcare shine through. We want to see how your background and interests align with our mission to revolutionise healthcare using AI.

Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the AI Research Scientist role. Highlight relevant experiences, especially those involving LLM fine-tuning and collaborative projects, so we can see how you fit into our team.

Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to describe your skills and experiences, making it easy for us to understand your qualifications and how they relate to the role.

Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right place and helps us keep track of all candidates efficiently. Plus, it’s super easy!

How to prepare for a job interview at Phoenix Court Group

✨Know Your Stuff

Make sure you brush up on the latest advancements in AI, especially in areas like LLM fine-tuning and reinforcement learning. Sword Health is at the forefront of AI in healthcare, so being able to discuss recent research or breakthroughs will show your passion and expertise.

✨Showcase Your Experience

Prepare to talk about your hands-on experience with large language models and any relevant projects you've worked on. Highlight specific examples where you've taken research ideas from conception to implementation, as this aligns perfectly with what Sword is looking for.

✨Collaboration is Key

Sword values cross-functional collaboration, so be ready to discuss how you've worked with different teams in the past. Share examples of how you’ve communicated complex ideas to non-technical stakeholders, as this will demonstrate your ability to bridge gaps between research and product development.

✨Embrace the Challenge

The role involves navigating uncertainty and making high-stakes decisions. Be prepared to share instances where you've thrived in ambiguous situations. This will show that you're not just capable but also excited about the challenges that come with pioneering new AI solutions in healthcare.

AI Research Scientist (Europe/UK - Remote)
Phoenix Court Group

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