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Data et analytics

Senior ML Engineer (Europe-based/Remote) - poste à distance

SWORD Health

Depuis l'EuropeÀ distanceEurope
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Publiée : (hier)Active : jusqu'au 30 septembre 2026

Senior ML Engineer (Europe-based/Remote) - Data et analytics, à distance

L'entreprise SWORD Health recrute : Senior ML Engineer (Europe-based/Remote). C'est un poste senior : l'entreprise attend que vous tranchiez vous-même. Le poste relève de la catégorie Data et analytics et se fait entièrement à distance. Les candidatures sont ouvertes aux personnes installées en Europe.

L'annonce met en avant Machine Learning : c'est l'expérience de cet outil précis qui fera la différence.

L'entreprise n'a publié aucun chiffre, cela se règle en entretien. L'annonce ne pose aucune condition d'horaires.

Cette offre a passé un contrôle automatique : les annonces qui exigent un permis de travail étranger, un parrainage de visa, une nationalité précise ou une résidence dans un pays nommé n'entrent pas dans la liste.

En bref

Entreprise
SWORD Health
Catégorie
Data et analytics
Qui peut postuler
De n'importe quel pays d'Europe
Mode de travail
Entièrement à distance
Niveau
Senior
Outils
Machine Learning
Type de contrat
Temps plein
Publiée
21 août 2026 (hier)
Validité
jusqu'au 30 septembre 2026
Origine
Jobicy

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La description de l'entreprise

At Sword, we’re building AI to heal billions and unlock humanity’s full potential. In doing so, we’re pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need - and ultimately get back to lives lived in full. Since 2020, Sword has expanded across Musculoskeletal, Women’s Health, Cardiometabolic, and Mental Health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 1 million members across three continents have completed over 15 million AI sessions, helping 2,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 59 clinical studies, 43 patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare.

This position is open to candidates based anywhere in Europe. AI Proficiency at Sword

AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework - be ready to share real examples of how AI is already part of how you work.

* Explorer (Level 1) - Uses AI daily to boost personal productivity

* Builder (Level 2) - Creates workflows and tools that elevate the whole team

* Integrator (Level 3) - Embeds AI into products and processes at scale

Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role. What you’ll be doing:

* Own ML projects end-to-end: take problems from exploration through production deployment and keep iterating once real users are on them;

* Build agentic LLM systems: design multi-step workflows with tool use, retrieval, and orchestration, and make them reliable enough for clinical settings;

* Treat evaluation as core engineering work: build eval sets, offline and online harnesses, LLM-as-judge pipelines with human review, and regression tests that catch quality drops before they reach users;

* Improve model quality with whatever fits the problem: prompting, retrieval, distillation, or fine-tuning, chosen on evidence rather than habit;

* Work across the full AI stack: data prep, model adaptation, serving, monitoring, and the feedback loops that keep systems improving in production;

* Partner with Product, Clinical, and Engineering: translate clinical requirements into technical decisions and surface tradeoffs early;

* Help the team get better: review code, share what you learn, and mentor engineers earlier in their careers.

What you need to have:

* Experience shipping ML systems to production that people actually depend on;

* Hands-on LLM work in production: prompting, retrieval, tool calling, and agent-style workflows;

* A rigorous approach to evaluation: you've built eval datasets and frameworks, and you can tell a real improvement from noise;

* Strong ML fundamentals: you know which approach fits which problem and can reason clearly about tradeoffs;

* Comfort with ambiguity: you've taken loosely defined problems and turned them into something running in production;

* Solid engineering skills: production-quality code, familiarity with distributed systems, and the patience to debug messy ML pipelines;

* Clear communication with both technical and clinical stakeholders.

Bonus points

* Experience with fine-tuning or preference optimization (RLHF, DPO, or similar);

* Healthcare AI, or other high-stakes domains where errors carry real cost;

* Built agent frameworks or evaluation tooling from scratch;

* Open source contributions, technical writing, or other knowledge sharing.

*This range includes base, variable and equity

As this role may be filled in different European countries, the compensation range will be adjusted to reflect local market conditions and cost of living in the country of hire. These compensation bands are just the starting point. Once someone joins and proves they’re outlier talent, we adjust quickly to ensure their compensation aligns with their impact. Our job titles may span more than one career level. Actual pay is determined by skills, qualifications, experience, location, market demand, and other factors. Compensation details listed in this posting reflect the base salary and any potential variable, bonus or sales incentives, and the Company’s estimation of the value of private company stock options, if applicable. The pay range is subject to change, future value of company stock options is not guaranteed, and compensation may be modified in the future. In addition to our total compensation, Sword offers a number of benefits as listed below.

Sword Benefits & Perks

At Sword, we are committed to supporting our employees in every location. The benefits and perks applicable to this role are those standard to the country where the candidate will be based, in line with local regulations and market practices.

SWORD Health, which includes SWORD Health, Inc. and Sword Health Professionals (consisting of Sword Health Care Providers, P.A., SWORD Health Care Providers of NJ, P.C., SWORD Health Care Physical Therapy Providers of CA, P.C.*) 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.

Le texte est conservé dans la langue d'origine de l'entreprise, car c'est dans cette langue que vous postulerez.

Cette offre a été publiée sur Jobicy. Annonce d'origine (Jobicy)

Questions fréquentes sur cette offre

Puis-je postuler au poste de Senior ML Engineer (Europe-based/Remote) depuis là où je vis ?

Oui. Pour cette offre, SWORD Health accepte des candidats de n'importe quel pays d'Europe, vous n'avez donc besoin d'aucun permis de travail pour un autre pays. L'annonce a passé un contrôle automatique : si l'entreprise avait exigé un permis de travail, un parrainage de visa ou une résidence dans un pays précis, elle ne figurerait pas sur ce tableau.

Quelle rémunération est indiquée ?

Pour cette offre, SWORD Health n'a publié aucune rémunération. La plupart des annonces à distance ne donnent aucun chiffre, cela se règle en entretien.

Comment postuler ?

Vous postulez directement auprès de l'entreprise, via l'annonce d'origine publiée sur Jobicy. Donator ne reçoit aucune candidature, ne prend aucune commission et ne conserve aucun CV.

De quel type d'offre s'agit-il ?

Un poste entièrement à distance dans la catégorie Data et analytics. Les annonces hybrides et tout ce qui impose une présence au bureau ne sont pas publiés sur ce tableau.

Certificats gratuits pour cette offre

Cette annonce demande Machine Learning. Vous trouverez ci-dessous les attestations gratuites qui couvrent précisément ces outils.

Tous les certificats gratuits : AI and data

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