Machine Learning Engineer
Safemind ABSammanfattning
MedHelp Care, a Nordic B2B SaaS leader, is seeking a Machine Learning Engineer to join their data team focused on developing analytics products and health risk models. The role involves working on the Larix model for long-term sick leave risk, managing production models, and contributing to data pipelines. The company is committed to improving workplace health through AI-driven solutions and operates in Sweden, Finland, and Denmark.Jobbet i korthet
Anställningstyp
tillsvidareanstallning
Arbetstid
heltid
Det här erbjuder vi
Opportunity to work in a fast-paced, innovative environment.Impactful role in improving workplace health through technology.Collaborative team culture with a focus on continuous learning.
Ansök senast: 2026-12-31
Publicerad: 2026-11-06
Beskrivning
At MedHelp Care, we're shaping the future of workplace health management. As a leading Nordic B2B SaaS company, we build intelligent AI-powered platforms that help organizations create healthier workplaces.
Our platform uses advanced health data analytics and machine learning to detect early signals of health risk, enabling companies to take proactive, preventive action. Our mission is clear: to make workplaces healthier, more resilient, and better equipped to support both employees and organizations.
We are on an exciting growth journey and we're now looking for a Machine Learning Engineer to join us.
About the role
You'll join our data team that develops InsightsHub and Statistics, our customer-facing analytics products; Larix, our model for flagging who's at risk of long-term sick leave; and the data platform underneath.
We use agentic coding tools heavily, and expect how we build to keep changing. We care less about which tools you use today than whether you're willing to keep changing how you work.
Larix, and how we run models in production generally, is at the centre of this role. We're a small shop, so things move fast and what you build shapes the product rather than a corner of it.
What we're recruiting for
Larix, our long-term sick leave risk model: retraining, serving and monitoring it in production, plus features, evaluation, performance and making it work in new markets.
How we run models in production generally - serving, evaluation and monitoring.
What the team owns and you'll work across
InsightsHub, our LLM-based analytics product: the data model and pipelines underneath, and the generation on top.
The transformation layer: dbt, warehouse, orchestration.
Product and usage data, with a focus on making it self-serve.
Proving what the product does to sickness absence, in a way that holds up with customers and leadership.
Who we think you are
You write Python and SQL that other people can maintain.
You've looked after a model in production over time, not just built one and moved on.
You've automated a training or deployment pipeline, or you're keen to.
You can design an evaluation that survives scrutiny, and you know the difference between correlation, prediction, and causal effect.
You've worked with dbt or equivalent and an orchestrator like Airflow, Prefect or Dagster.
You can explain what the numbers mean to someone who isn't technical.
We're open to a few years of experience and up. The right person matters more than years of experience.
Nice to have
Taking a model to a new market or population.
Evaluating LLM or AI output in production.
Experience with privacy and sensitive personal data.
Domain background in HR, occupational health, insurance, or healthcare.
About MedHelp Care
MedHelp Care AB is a leading SaaS company offering an AI-powered, cloud-based platform for data-driven corporate health and expert medical advisory services. Used by around 500 companies in the Nordics and connecting up to 200,000 employees, our platform helps reduce sick leave, increase employee presence, and lower costs.
Founded in 1999, we operate in Sweden, Finland, and Denmark with a team of around 45 employees.
Our mission is to improve employee health through proactive, data-driven initiatives and contribute to a healthier society by halving long-term sick leave. At the heart of this mission is a machine learning model that helps us identify and address health risks proactively. If you're motivated by applying machine learning to health, and you'd rather work across the whole lifecycle of a model at a small company than on one slice of it at a large one, this role is for you.
In this recruitment, we are collaborating with Safemind, and all applications will be processed through them.
Our platform uses advanced health data analytics and machine learning to detect early signals of health risk, enabling companies to take proactive, preventive action. Our mission is clear: to make workplaces healthier, more resilient, and better equipped to support both employees and organizations.
We are on an exciting growth journey and we're now looking for a Machine Learning Engineer to join us.
About the role
You'll join our data team that develops InsightsHub and Statistics, our customer-facing analytics products; Larix, our model for flagging who's at risk of long-term sick leave; and the data platform underneath.
We use agentic coding tools heavily, and expect how we build to keep changing. We care less about which tools you use today than whether you're willing to keep changing how you work.
Larix, and how we run models in production generally, is at the centre of this role. We're a small shop, so things move fast and what you build shapes the product rather than a corner of it.
What we're recruiting for
Larix, our long-term sick leave risk model: retraining, serving and monitoring it in production, plus features, evaluation, performance and making it work in new markets.
How we run models in production generally - serving, evaluation and monitoring.
What the team owns and you'll work across
InsightsHub, our LLM-based analytics product: the data model and pipelines underneath, and the generation on top.
The transformation layer: dbt, warehouse, orchestration.
Product and usage data, with a focus on making it self-serve.
Proving what the product does to sickness absence, in a way that holds up with customers and leadership.
Who we think you are
You write Python and SQL that other people can maintain.
You've looked after a model in production over time, not just built one and moved on.
You've automated a training or deployment pipeline, or you're keen to.
You can design an evaluation that survives scrutiny, and you know the difference between correlation, prediction, and causal effect.
You've worked with dbt or equivalent and an orchestrator like Airflow, Prefect or Dagster.
You can explain what the numbers mean to someone who isn't technical.
We're open to a few years of experience and up. The right person matters more than years of experience.
Nice to have
Taking a model to a new market or population.
Evaluating LLM or AI output in production.
Experience with privacy and sensitive personal data.
Domain background in HR, occupational health, insurance, or healthcare.
About MedHelp Care
MedHelp Care AB is a leading SaaS company offering an AI-powered, cloud-based platform for data-driven corporate health and expert medical advisory services. Used by around 500 companies in the Nordics and connecting up to 200,000 employees, our platform helps reduce sick leave, increase employee presence, and lower costs.
Founded in 1999, we operate in Sweden, Finland, and Denmark with a team of around 45 employees.
Our mission is to improve employee health through proactive, data-driven initiatives and contribute to a healthier society by halving long-term sick leave. At the heart of this mission is a machine learning model that helps us identify and address health risks proactively. If you're motivated by applying machine learning to health, and you'd rather work across the whole lifecycle of a model at a small company than on one slice of it at a large one, this role is for you.
In this recruitment, we are collaborating with Safemind, and all applications will be processed through them.
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Machine Learning Engineer
OM FÖRETAGET
Safemind AB
