Dados e analytics
Senior ML Engineer (Europe-based/Remote) - vaga remota
SWORD Health
O link leva ao anúncio original. Donator não recebe candidaturas.
Senior ML Engineer (Europe-based/Remote) - Dados e analytics, remoto
A empresa SWORD Health está com uma vaga aberta de Senior ML Engineer (Europe-based/Remote): nível senior, ou seja, a empresa espera que você tome as decisões. A posição fica na área de Dados e analytics e é totalmente remota. A empresa contrata candidatos que estejam na Europa.
O anúncio destaca Machine Learning, então a experiência com essa ferramenta é o que vai pesar.
A empresa não publicou nenhum valor, isso é acertado na entrevista. O anúncio não impõe condição nenhuma de horário.
Esta vaga passou por uma verificação automática: anúncios que exigem autorização de trabalho estrangeira, patrocínio de visto, uma nacionalidade específica ou residência em um país indicado não entram na lista.
Ferramentas
Em resumo
- Empresa
- SWORD Health
- Área
- Dados e analytics
- Quem pode se candidatar
- De qualquer país da Europa
- Formato de trabalho
- Totalmente remota
- Nível
- Senior
- Ferramentas
- Machine Learning
- Tipo de contrato
- Tempo integral
- Publicada
- 21 de agosto de 2026 (ontem)
- Ativa
- até 30 de setembro de 2026
- Fonte
- Jobicy
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Descrição da empresa
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.
O texto permanece no idioma original da empresa, porque é nesse mesmo idioma que você vai se candidatar.
Perguntas frequentes sobre esta vaga
Posso me candidatar à vaga de Senior ML Engineer (Europe-based/Remote) de onde eu moro?
Sim. Para esta vaga, SWORD Health aceita candidatos de qualquer país da Europa, então você não precisa de autorização de trabalho de outro país. O anúncio passou por uma verificação automática: se a empresa exigisse autorização de trabalho, patrocínio de visto ou residência em um país específico, ele não estaria neste quadro.
Qual é a remuneração informada?
Para esta vaga, SWORD Health não divulgou remuneração. A maioria dos anúncios remotos não publica valor, isso é acertado na entrevista.
Como eu me candidato?
Você se candidata diretamente à empresa, pelo anúncio original publicado em Jobicy. Donator não recebe candidaturas, não cobra comissão e não guarda currículos.
Que tipo de vaga é esta?
Uma vaga totalmente remota na área de Dados e analytics. Anúncios híbridos e tudo o que exige presença no escritório não são publicados neste quadro.
Certificados gratuitos para esta vaga
Este anúncio pede Machine Learning. Abaixo estão os certificados gratuitos que cobrem exatamente essas ferramentas.
OCI AI Foundations Associate
exam is free tooOracle · ~10 h
A free certification on the AI track, exam included, taken inside MyLearn. An Agentic AI Foundations version also exists.
strong brandValid: 18-24 monthsAI Fundamentals and Generative AI Essentials
digital badgeIBM SkillsBuild · ~12 h
Credly badges an employer recognises. The tests require 80% to pass.
strong brandAnthropic Academy: 21 courses
certificateAnthropic · ~20 h
Courses on the Claude API, MCP and Claude Code. Each carries a free certificate, and Georgia is a supported country.
moderate weightDeep Reinforcement Learning course
certificateHugging Face · ~30 h
Entirely free with no deadline. 80% earns a Certificate of Completion, 100% a Certificate of Honors.
moderate weight
