Technology is changing what good Care can look like.

Sensio is building the next generation of AI for care environments. We are looking for an AI Lead to define the technical direction, as well as to build and lead our new AI team.

Used well, technology can help care professionals identify risks earlier, respond faster and provide care that is better adapted to each individual. It can improve collaboration between colleagues, create greater continuity in everyday work and give care teams more time to focus on the people who need them.

Sensio is a leading European care technology company. Through our software platform Sensio 365, our nurse call solution, and our ‘hero-product’ the RoomMate AI multisensor, we help care providers deliver safer, more personalized and more efficient care. RoomMate is developed and manufactured in Norway, and it is probably the most widely deployed sensor of its kind across elderly care anywhere in the world.

With the backing of Nordic Capital, a leading European healthcare and healthtech investor, we are investing actively in product development and expanding the impact of our technology across international markets.

We’re looking for an AI Lead

This is a key role in shaping the future for Sensio. You will build our in-house AI team, and work actively across the company to shape our direction and ensure we execute well. You will lead the AI transformation across the full pipeline: from data collection and processing, to model development, MLOps, performance tracking and delivery to the teams implementing AI on embedded hardware.

The AI team will operate in an embedded model, with your AI-specialists assigned to the relevant product teams based on the AI roadmap and current priorities. As AI Lead, you will set the shared technical direction and work closely with the different Dev Leads to align AI development with each product’s architecture, roadmap and delivery.

That is where your job comes in.

As an AI lead you will scale Sensios work on AI across edge and server. A key part of the work is embedded AI on the RoomMate device: making models work locally, on sensors and devices with real hardware constraints. It is a unique challenge to make AI work reliably on a device on the wall, with limited memory, different hardware capabilities, privacy requirements and real-time use cases.

This is a role with Technical responsibility for the development, deployment, and continuous improvement of Sensio’s AI and machine learning solutions, both on embedded hardware and in server-based services.

This is a hands-on technical leadership role with formal people responsibility. You will set technical direction, make architecture and prioritisation decisions, develop the team and remain sufficiently close to the technology to challenge designs, review evidence and guide difficult technical trade-offs.

Your role will be to scale our foundation, set direction, build capability and make sure Sensio’s AI work becomes scalable, responsible and useful in real care environments – and deeply integrated across our total offering.

While customer-facing AI products will remain the clear priority, you will also work with Internal IT, infrastructure and HR leadership to accelerate the adoption of AI across Sensio. This includes helping redesign processes, tools and ways of working to enable a broader transformation of the company’s operating model.

Your day-to-day

You will lead Sensio’s AI transformation and take responsibility for direction, quality and progress across AI initiatives. You’ll report directly to Sensio’s CPTO, and collaborate closely with Dev Leads and enterprise IT. Your daily work will include:

Leading and developing a team working across ML, AI transition and software/hardware implementation

Setting technical direction for AI across data, model development, MLOps, validation, deployment and performance tracking

Driving embedded AI initiatives, including models that need to run locally on resource-constrained sensors and devices

Working closely with data, annotation, ML, embedded, product and engineering teams to build reliable AI workflows from data to hardware

Improving robustness, explainability, privacy and scalability across Sensio’s AI systems

Helping establish internal principles, standards and ways of working for responsible and effective use of AI

This is what we’re looking for

We are looking for a technically strong AI Lead with deep machine learning competence, strong academic grounding and the ability to lead both people and transformation. If you’re the right candidate for the job, you probably have:

Strong experience with machine learning, computer vision or embedded AI, preferably from products that operate in real-world environments

Advanced academic training in machine learning, computer science, robotics, signal processing, applied mathematics or a related discipline, normally at master’s or PhD level, or equivalent depth demonstrated through relevant industrial research and development

Experience across several parts of the ML lifecycle, such as data preparation, model development, validation, deployment, MLOps and performance monitoring

Understanding of edge AI, hardware constraints, model optimization, quantization or deployment to resource-constrained devices

The ability to lead strong technical people, create direction, handle complexity and build confidence in a fast-moving environment

You do not need to have done everything Sensio is trying to build. Very few people have. But you do need to understand the full technical landscape well enough to make good decisions, ask the right questions and lead specialists across the pipeline.

Bonus points if you have experience with one or more of the following:

Time-of-flight sensors, IR sensors, depth data, computer vision, sensor fusion or signal-based AI

Embedded Linux, C++, Pytorch or similar frameworks and tools

Fleet-wide deployment, model monitoring, continuous model evaluation or industrial scalability of AI systems

Privacy-preserving AI, anonymization, GDPR, access control, security or explainability

AI in medtech, welfare technology, automotive, robotics, drones, industrial technology or other safety-critical environments

Building AI capability, standards, teams or ways of working in an organization undergoing technical transformation

What Sensio can offer

At Sensio, you will work on technology with a clear purpose and a genuine user need. Our solutions are developed for real care environments, where reliability, precision and thoughtful engineering directly affect both the people receiving care and the professionals supporting them.

As AI Lead at Sensio, you will get a rare opportunity to work broadly across modern AI in a rich and complex product environment. You will work with a wide range of sensor data, image data, audio, video, telemetry, annotations, embedded machine learning, agents, internal AI tools and AI-enabled product functionality. Few environments can offer the same combination of real-time data, meaningful use cases, hardware constraints and societal importance.

What we can offer:

A central leadership role in Sensio’s newly established AI environment

Responsibility for driving AI transformation across data, ML, MLOps, product and embedded implementation

The opportunity to work with rich sensor data, real-time use cases and embedded AI in real-world product

A strong product and technology environment with international ambitions

Room to shape AI principles, technical direction, team capability and ways of working

The chance to build technology that supports healthcare professionals, residents, patients and next-of-kin

This is a role for someone who wants the complexity of AI, the constraints of embedded technology and the responsibility of building something that can actually scale. If you want to lead AI work that leaves the lab and helps shape the future of care technology, we would like to hear from you.

AI Lead: Lead the AI transformation and future of care technology

Lead Sensio’s AI transformation: build and mentor an in‑house AI team, deploy edge and server ML, and shape care tech that is safer, smarter, and people‑centered.