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Swordhealth

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Lead ML Engineer (Europe-based/Remote)

Swordhealth

Europe Data / ML / AI 52m ago

Lead ML Engineer

Swordhealth

Porto Data / ML / AI 52m ago

Staff Research ML Engineer (Europe-based/Remote)

Swordhealth

Europe Data / ML / AI 52m ago

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Lead ML Engineer (Europe-based/Remote)

Swordhealth · Europe

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Data / ML / AI Europe Posted May 18, 2026

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. Learn more at www.swordhealth.com.

The Applied AI Team develops AI and ML solutions that power personalized clinical care at scale. Our work includes end-to-end AI treatment management systems that handle complete care pathways - from initial assessment through intervention selection and progress monitoring across various therapeutic domains. We are also building Phoenix, an AI Care Specialist that engages in ongoing dialogue with patients and provides clinical guidance throughout their recovery journey.

This work spans the full AI stack: prompt engineering, RAG implementations, model fine-tuning, and agentic workflows. We leverage both generative AI and classical machine learning depending on what the problem requires. All of our projects contribute to delivering digital care that reaches new levels of clinical quality and accessibility.

What you'll be doing:

Ship production ML systems that power clinical care - Write code daily, design architectures, and make technical decisions across our AI treatment management platform and Phoenix.

Lead a lean team of 2-4 ML engineers - Set technical direction, unblock your team, review code, and ensure you’re building the right things the right way.

Drive 0-1 ML initiatives - Identify high-leverage opportunities across the AI stack (prompt engineering, RAG, fine-tuning, agentic workflows), prototype fast, and push to production.

Raise the technical bar - Establish best practices for AI development, mentor engineers, and scale our ML engineering culture.

Partner with Product and Clinical teams - Shape what gets built and ensure our AI solutions actually improve patient outcomes.

What you need to have:

Proven ability to ship production ML systems - You’ve built and deployed models that real users depend on, and can show the impact.

Experience leading technical teams - You’ve led engineers before (whether as a tech lead, team lead, or manager), with an emphasis on pragmatic execution and delivery.

Hands-on experience with end-to-end ML pipelines - From data preparation through model deployment, monitoring, and iteration in production.

Strong engineering fundamentals - You write production-quality code in Python, work effectively with data (SQL), and can debug complex ML systems.

GenAI experience - You’ve worked with LLMs in production environments (RAG, tool use, orchestration, complex workflows, or fine-tuning).

Bias toward action - You ship iteratively, make decisions with incomplete information, and prioritize effectively to deliver value quickly.

Clear communication - You can explain technical tradeoffs to clinicians, product managers, and engineers.

What we would love to see:

Experience with healthcare AI or clinical applications - you understand the unique challenges of building ML for high-stakes domains.

Track record of designing and running experiments to measure real-world impact (A/B tests, online evaluation, etc.).

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;

To get to know more about our Tech Stack, check here.

The hiring process:

30-minute call with the recruiter

30-minute call with an initial screener

1 take-home assignment (to be delivered within 1 week)

1h general skills and working principles interview

1h leadership and people management interview

1h mindset and cultural fit interview

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.

Ready to apply?

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Swordhealth

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Lead ML Engineer

Swordhealth · Porto

Apply now

Data / ML / AI Porto Europe Posted May 18, 2026

What you'll be doing:

Ship production ML systems that power clinical care - Write code daily, design architectures, and make technical decisions across our AI treatment management platform and Phoenix.

Lead a lean team of 2-4 ML engineers - Set technical direction, unblock your team, review code, and ensure you’re building the right things the right way.

Drive 0-1 ML initiatives - Identify high-leverage opportunities across the AI stack (prompt engineering, RAG, fine-tuning, agentic workflows), prototype fast, and push to production.

Raise the technical bar - Establish best practices for AI development, mentor engineers, and scale our ML engineering culture.

Partner with Product and Clinical teams - Shape what gets built and ensure our AI solutions actually improve patient outcomes.

What you need to have:

Proven ability to ship production ML systems - You’ve built and deployed models that real users depend on, and can show the impact.

Experience leading technical teams - You’ve led engineers before (whether as a tech lead, team lead, or manager), with an emphasis on pragmatic execution and delivery.

Hands-on experience with end-to-end ML pipelines - From data preparation through model deployment, monitoring, and iteration in production.

Strong engineering fundamentals - You write production-quality code in Python, work effectively with data (SQL), and can debug complex ML systems.

GenAI experience - You’ve worked with LLMs in production environments (RAG, tool use, orchestration, complex workflows, or fine-tuning).

Bias toward action - You ship iteratively, make decisions with incomplete information, and prioritize effectively to deliver value quickly.

Clear communication - You can explain technical tradeoffs to clinicians, product managers, and engineers.

What we would love to see:

Experience with healthcare AI or clinical applications - you understand the unique challenges of building ML for high-stakes domains.

Track record of designing and running experiments to measure real-world impact (A/B tests, online evaluation, etc.).

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;

To get to know more about our Tech Stack, check here.

The hiring process:

30-minute call with the recruiter

30-minute call with an initial screener

1 take-home assignment (to be delivered within 1 week)

1h general skills and working principles interview

1h leadership and people management interview

1h mindset and cultural fit interview

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.

Ready to apply?

Apply to Swordhealth

Swordhealth

View all jobs →

Staff Research ML Engineer (Europe-based/Remote)

Swordhealth · Europe

Apply now

Data / ML / AI Europe Posted May 18, 2026

The Applied AI Team develops AI and ML solutions that power personalized clinical care at scale. Our work includes end-to-end AI treatment management systems that handle complete care pathways - from initial assessment through intervention selection and progress monitoring across various therapeutic domains. We are also building Phoenix, an AI Care Specialist that engages in ongoing dialogue with patients and provides clinical guidance throughout their recovery journey.

What you'll be doing:

Own complex ML problems end-to-end - Take on the hardest technical challenges (like fine-tuning LLMs to maximize clinical outcomes) from initial exploration through production deployment and real-world iteration.

Drive technical strategy in your domain - Define how we approach model development, evaluation, and optimization for clinical AI applications.

Build and optimize production LLM systems - Design and implement fine-tuning pipelines, preference optimization (RLHF, DPO), and rigorous evaluation frameworks for clinical use cases.

Work deeply across the full AI stack - From data preparation and model training through deployment, monitoring, and iteration in production environments.

Influence across teams - Partner with Product, Clinical, and Engineering teams to shape technical decisions and ensure we’re solving the right problems.

Raise the technical bar - Mentor engineers, establish best practices, and help define what excellent ML engineering looks like at Sword.

May lead 1-2 engineers on specific projects, providing technical direction and mentorship.

What you need to have:

Deep expertise in production ML systems - You’ve built and shipped ML systems that users depend on, with a track record of solving complex technical problems.

Production LLM experience - You’ve fine-tuned, evaluated, and deployed LLMs in production environments.

Experience with preference optimization - You’ve implemented techniques like RLHF, DPO, or similar approaches in production settings.

Strong ML fundamentals - You understand when to use different ML approaches, can design rigorous evaluation frameworks, and make principled technical tradeoffs.

End-to-end ownership - You’ve taken ambiguous, complex problems from initial exploration through production deployment and ongoing iteration.

Excellent engineering skills - You write production-quality code, understand distributed systems, and can debug complex ML pipelines.

Communication and influence - You can drive technical decisions across teams and explain complex tradeoffs to technical and clinical stakeholders.

What we would love to see:

Experience with healthcare AI or clinical applications and the unique challenges of building ML for high-stakes domains.

Track record of designing evaluation frameworks for LLMs in specialized domains.

Contributions to the ML community through open source, technical writing, or other knowledge sharing.

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;

To get to know more about our Tech Stack, check here.

The interview process:

30-minute call with the recruiter

30-minute call with an initial screener

1 take-home assignment (to be delivered within 1 week)

1h general skills and working principles interview

1h mindset and cultural fit interview

Ready to apply?

Apply to Swordhealth

Swordhealth

View all jobs →

Swordhealth

Lead ML Engineer (Europe-based/Remote)

What you'll be doing:

What you need to have:

What we would love to see:

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

The hiring process:

Lead ML Engineer

What you'll be doing:

What you need to have:

What we would love to see:

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

The hiring process:

Staff Research ML Engineer (Europe-based/Remote)

What you'll be doing:

What you need to have:

What we would love to see:

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

The interview process:

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