
Hjertemedisinsk senge- og utredningspost – Tromsø Universitetssykehuset Nord-Norge HF · Tromsø
Vil du jobbe i hjertet av akuttmedisin? Vi søker engasjerte sykepleiere, spesialsykepleiere – innen alle retninger – og kardiologiske sykepleiere til vår hjert...
Vil du jobbe i hjertet av akuttmedisin?
Vi søker engasjerte sykepleiere, spesialsykepleiere – innen alle retninger – og kardiologiske sykepleiere til vår hjertemedisinske senge- og utredningspost.
Hos oss får du jobbe tett på pasienter med både akutte og kroniske hjertesykdommer – i et fagfelt som stadig utvikler seg og gir høy faglig tilfredsstillelse.
👉 Er du nyutdannet? Du er hjertelig velkommen til å søke! Vi er et stort team og du vil få god opplæring og vil alltid ha noen å lene deg på.
👉 Har du erfaring? Vi gir deg mulighet til å utvikle deg videre og få bredere kompetanse.
✅ Et av landsdelens mest spennende fagmiljø innen hjertemedisin
✅ Spennende og varierte dager
✅ Et inkluderende og sosialt arbeidsmiljø
✅ Bred erfaring og kompetanse med ulike sykepleiefaglige prosedyrer
✅ Tett samarbeid med ulike yrkesgrupper og avdelinger i pasientbehandling (medisinsk intensiv, poliklinikk og hjertelab.)✅ Etablering av 12-timers vakter som en frivillig ordning
✅ Faglig utvikling med fagdager og internundervisning. Det er også muligheter for videreutdanning med utdanningsstilling
✅ Medvirkning - vi ønsker innspill og ideer velkommen fra ansatte!
Du er også hjertelig velkommen til å hospitere hos oss dersom du er nysgjerrig!
Kort om avdelingen
Hjertemedisinsk sengepost har 26 senger fordelt på tre fagområder:
Vi har i tillegg en dagenhet (hjerteutredningen) for elektive pasientforløp, hvor ansatte rullerer på tvers av hjerteutredningen og sengeposten. Våre pasienter innlegges både som øyeblikkelig hjelp og planlagte innleggelser, og vi behandler hele spekteret av hjertesykdommer.
Vi har sengepostassistenter som hjelper oss med oppgaveglidning. I praksis betyr det at sykepleier får mer tid med pasientene våre
Vi dekker et stort geografisk område – fra Svalbard i nord til Brønnøysund i sør.
Hos oss jobber du i et tverrfaglig miljø sammen med blant annet:
👩⚕️ fagsykepleiere
👨⚕️ kardiologer
📊 studiesykepleier
🧑⚕️ helsefagarbeidere, assistenter, fysioterapeuter, mfl.
Har du spørsmål eller er nysgjerrig på å jobbe hos oss? Du er mer en velkommen til å ta kontakt med oss!
◌ Vi er åpen for deltidsstilling og vikariat. Oppgi gjerne dette i søknaden.
◌ Ansettelser vil skje fortløpende frem til søknadsfrist. Vi oppfordrer deg derfor til å være tidlig ute.
◌ Les videre lengre ned for å gå i dybden om hvilke arbeidsoppgaver du kan møte hos oss og hva mer vi kan tilby.
Følg oss gjerne på instagram "hjertemedisin_unn"
Arbeidsoppgaver
Kvalifikasjoner
Det vil bli gitt opplæring i avdelingens medisinsktekniske utstyr.
Personlige egenskaper
Personlig egnethet vektlegges.
🎓 Fokus på din utvikling
👩⚕️ Trygg oppstart
💼 Gode rammer
🌿 Livskvalitet i nord
📅 Fleksibilitet
🏡 Velferdsordninger
KontaktinformasjonHanne Klo Jakobsen, Assisterende seksjonsleder, 776 69 641, hanne.jakobsen@unn.no
Solveig Alvilde Gulmælæ, Seksjonsleder, +4797749539
ArbeidsstedHansine Hansens veg 67
9019 Tromsø
Nøkkelinformasjon:Arbeidsgiver: Universitetssykehuset Nord-Norge HF
Referansenr.: 5149429732
Stillingsprosent: 100%
Fast, Vikariat
Søknadsfrist: 23.09.2026
Senior Machine Learning Scientist 🌍 UK or Poland (Remote or Hybrid, it’s up to you!) 💰 Dependent on experience 📈 Be part of our success with the opportunity to join our company equity scheme Our Perks ❤️ Monthly Health & Wellness budget, increasing with length of service 📚 Annual Learning and Development budget, increasing with length of service 🤸🏽♂️ Flexible working in a choice-first environment - we trust the way you want to work! 🖥️ Work From Home Allowance 🌴 25 Holiday Days + your local bank holidays, plus an extra day for every year of service 🎂 Your birthday off 🍼 Enhanced Family Leave (UK Only), Fertility Leave, and Neonatal Leave ⚕️ Optional Healthcare Plan 🛟 Life & income protection (Location dependent) 🤝 Employee Assistance Programme (UK Only) 📈 The opportunity to share in the company’s success through options 🌆 If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace 🦸♀️ The Role 🦸♀️ Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next. We're hiring a Senior Machine Learning Scientist to join the team and help build and ship the next generation of that stack. 👉 What you'll be doing: Unlike many companies, we use our own custom models, specialised for customer feedback, across various parts of the stack: extraction, retrieval, reranking, summarisation, and sentiment analysis. We are also pragmatic and understand that the right solution can be a combination of off-the-shelf LLMs, bespoke fine-tuned models, and sometimes techniques that utilise no LLM at all. This means you will: * Train, evaluate, and iterate on ML models and agentic systems for customer feedback, including owning our custom fine-tuning pipelines. Run experiments end-to-end, track results rigorously, and make clear recommendations on what to ship, iterate, or retire. * Build and maintain LLM-powered features: retrieval pipelines, reranking systems, insight agents, data mining agents, and automated taxonomy generation. * Design and run robust evaluation frameworks: build test sets, define metrics, evaluate non-deterministic systems, handle class imbalance, and automate checkpoint comparisons. * Improve and extend semantic search and retrieval, evolving from embedding-based approaches toward more advanced methods. * Write production-quality code and collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring. * Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking. * Mentor team members, review code and research, and bring relevant advances from the literature into the product. 🧰 What you’ll need: * A deep working knowledge of transformer architectures. * Strong PyTorch skills, with the ability to write custom training loops, modify model architectures, and debug issues at the tensor level. Ideally, experience with parameter-efficient fine-tuning techniques such as LoRA * Extensive experience working with large-scale, messy real-world text data, including classification, extraction, embeddings, re-rankers, clustering, and search. * Experience in instruction fine-tuning and serving language models, familiarity with frameworks such as vLLM, DeepSpeed, or similar tools * A solid grounding in classical ML and statistics, and the judgement to choose simpler methods when they’re the right solution. * Practical experience building with GenAI and agentic patterns. * Excellent communication skills and confidence translating complex technical concepts for non-technical audiences (and vice versa!). * Technical curiosity and a keen interest in AI – a love of experimenting to make the most of available technology. * High ownership and initiative, with the ability to identify problems, prioritise effectively, and drive solutions forward. ➕It would be a bonus if you: * MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Computational Linguistics or a closely related STEM field. * Experience with reinforcement learning techniques, such as with verifiable reward (RLVR) 🔎 Our Hiring Process 1. Let’s introduce ourselves – you’ll complete an introductory asynchronous interview - we’d love to learn more about you, your ambitions, and what you’re looking for in your next step. 2. Get to know your would-be manager – you’ll have a call with Aji, our Chief Scientist, to learn more about the role and show off your experience. 3. Show us how you work – you'll complete a short take home assignment 4. Get to know your would-be team – You'll meet a mix of people who you'll be working closely with from the Data Science, Engineering and Product teams. 5. How our values and your career goals align – you’ll have a call with our cofounder to learn more about life at Chattermill and ensure we’re the right place for your next stage of growth. 💖 Our Values * We are obsessed with experience – We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach. * We believe in the power of trust – Whether it's with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust. * We act as responsible owners – Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us. * We share a passion for growth & progress – On every level, we’re motivated by taking on new challenges – even if they seem out of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively. * We set our ambitions high but stay humble – We've come together to build a product and a category that’s never been seen before. While we're an ambitious bunch with lofty goals, we don't approach this goal carelessly. * We believe the right team is the key to success – At Chattermill we’ve learned that all our important achievements have been the result of the right people collaborating together – that’s why we need you to apply today! 🌈 Diversity & Inclusion 🌈 We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team. We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don’t meet 100% of the listed requirements – we believe in potential and will happily consider all applications based on the skills and experience you have, we’d love to be part of your growth and we encourage you to apply! #machinelearning #machinelearningscientist #seniormachinelearningscientist #datascience #deeplearning #LLM #ML #data #AI #PyTorch
Senior Machine Learning Engineer 🌍 UK or Poland (Remote or Hybrid, it’s up to you!) 💰 Dependent on experience 📈 Be part of our success with the opportunity to join our company equity scheme Our Perks ❤️ Monthly Health & Wellness budget, increasing with length of service 📚 Annual Learning and Development budget, increasing with length of service 🤸🏽♂️ Flexible working in a choice-first environment - we trust the way you want to work! 🖥️ Work From Home Allowance 🌴 25 Holiday Days + your local bank holidays, plus an extra day for every year of service 🎂 Your birthday off 🍼 Enhanced Family Leave (UK Only), Fertility Leave, and Neonatal Leave ⚕️ Optional Healthcare Plan 🛟 Life & income protection (Location dependent) 🤝 Employee Assistance Programme (UK Only) 📈 The opportunity to share in the company’s success through options 🌆 If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace 🦸♀️ The Role 🦸♀️ Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next. We're hiring a Senior Machine Learning Engineer to join the team and help build and ship the next generation of that stack. 👉 What you'll be doing: Unlike many companies, we use our own custom models, specialised for customer feedback, across various parts of the stack: extraction, retrieval, reranking, summarisation, and sentiment analysis. We are also pragmatic and understand that the right solution can be a combination of off-the-shelf LLMs, bespoke fine-tuned models, and sometimes techniques that utilise no LLM at all. This means you will: * Train, evaluate, and iterate on ML models and agentic systems for customer feedback, including owning our custom fine-tuning pipelines. Run experiments end-to-end, track results rigorously, and make clear recommendations on what to ship, iterate, or retire. * Build and maintain LLM-powered features: retrieval pipelines, reranking systems, insight agents, data mining agents, and automated taxonomy generation. * Design and run robust evaluation frameworks: build test sets, define metrics, evaluate non-deterministic systems, handle class imbalance, and automate checkpoint comparisons. * Improve and extend semantic search and retrieval, evolving from embedding-based approaches toward more advanced methods. * Write production-quality code and collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring. * Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking. * Mentor team members, review code and research, and bring relevant advances from the literature into the product. 🧰 What you’ll need: * A deep working knowledge of transformer architectures. * Strong PyTorch skills, with the ability to write custom training loops, modify model architectures, and debug issues at the tensor level. Ideally, experience with parameter-efficient fine-tuning techniques such as LoRA * Extensive experience working with large-scale, messy real-world text data, including classification, extraction, embeddings, re-rankers, clustering, and search. * Experience in instruction fine-tuning and serving language models, familiarity with frameworks such as vLLM, DeepSpeed, or similar tools * A solid grounding in classical ML and statistics, and the judgement to choose simpler methods when they’re the right solution. * Practical experience building with GenAI and agentic patterns. * Excellent communication skills and confidence translating complex technical concepts for non-technical audiences (and vice versa!). * Technical curiosity and a keen interest in AI – a love of experimenting to make the most of available technology. * High ownership and initiative, with the ability to identify problems, prioritise effectively, and drive solutions forward. ➕It would be a bonus if you: * MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Computational Linguistics or a closely related STEM field. * Experience with reinforcement learning techniques, such as with verifiable reward (RLVR) 🔎 Our Hiring Process 1. Let’s introduce ourselves – you’ll complete an introductory asynchronous interview - we’d love to learn more about you, your ambitions, and what you’re looking for in your next step. 2. Get to know your would-be manager – you’ll have a call with Aji, our Chief Scientist, to learn more about the role and show off your experience. 3. Show us how you work – you'll complete a short take home assignment 4. Get to know your would-be team – You'll meet a mix of people who you'll be working closely with from the Data Science, Engineering and Product teams. 5. How our values and your career goals align – you’ll have a call with our cofounder to learn more about life at Chattermill and ensure we’re the right place for your next stage of growth. 💖 Our Values * We are obsessed with experience – We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach. * We believe in the power of trust – Whether it's with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust. * We act as responsible owners – Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us. * We share a passion for growth & progress – On every level, we’re motivated by taking on new challenges – even if they seem out of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively. * We set our ambitions high but stay humble – We've come together to build a product and a category that’s never been seen before. While we're an ambitious bunch with lofty goals, we don't approach this goal carelessly. * We believe the right team is the key to success – At Chattermill we’ve learned that all our important achievements have been the result of the right people collaborating together – that’s why we need you to apply today! 🌈 Diversity & Inclusion 🌈 We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team. We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don’t meet 100% of the listed requirements – we believe in potential and will happily consider all applications based on the skills and experience you have, we’d love to be part of your growth and we encourage you to apply! #machinelearning #machinelearningscientist #seniormachinelearningscientist #datascience #machinelearningengineer #seniormachinelearningengineer #deeplearning #LLM #ML #data #AI #PyTorch
Är du en erfaren ventilationsmontör som vill ta nästa steg i karriären utan att lämna det praktiska arbetet? Vill du fortsätta arbeta med montage samtidigt som du får ett större ansvar för planering, samordning och arbetsmiljö? Då kan det här vara rollen för dig. Vi söker nu en Ledande Ventilationsmontör till vårt serviceteam i Malmö. Det här är en roll för dig som trivs med att vara ute hos kund och gärna vill kombinera eget montagearbete med ett utökat ansvar i våra serviceprojekt och mindre entreprenader. Du kommer själv att vara en aktiv del av produktionen samtidigt som du fungerar som en naturlig samordnare på plats. Du får möjlighet att jobba med Utföra ventilationsmontage och ombyggnationer Planera och samordna det dagliga arbetet på arbetsplatsen Vara kontaktperson mot kunder, projektledare och andra entreprenörer Delta på byggmöten och samordningsmöten Säkerställa att arbetet bedrivs enligt gällande kvalitets- och säkerhetskrav Bidra till god ordning och struktur på arbetsplatsen Arbeta aktivt med arbetsmiljöfrågor och säkerställa att vi följer våra rutiner och arbetssätt Du har inget personalansvar, men förväntas ta ett naturligt ledarskap i projekten och bidra med din erfarenhet för att skapa framdrift och ett gott samarbete. Våra medarbetare är vårt hjärta ❤ Våra medarbetare är den största tillgången vi har i vårt företag. Vi kan vara stolta över hur vi ser till att vi som företag lyckas genom att arbeta tillsammans. Hos Caverion får du möjlighet att utvecklas genom att förstärka, förnya och vidareutveckla din kompetens. Vår egen digitala utbildningsplattform säkerställer de kurser och certifieringar du behöver för att ligga i framkant inom ditt område. Hög arbetsglädje hos en stabil och trygg arbetsgivare med god ekonomi, där säkerheten alltid kommer först. Våra värderingar✅ Vi leder ✅ Vi levererar ✅ Vi bryr oss Din bakgrund Flera års erfarenhet som ventilationsmontör Är självgående och trygg i din yrkesroll Har erfarenhet av projekt, ombyggnationer eller mindre entreprenader Förstår vikten av ett väl fungerande arbetsmiljöarbete Har B-körkort Behärskar svenska i tal och skrift Det är meriterande om du har erfarenhet av: Byggmöten och samordning med andra entreprenörer BAS-P eller BAS-U Certifiering inom ventilation Vi erbjuder Goda utvecklings- och karriärmöjligheter. Både inom det egna området, inom ett nytt ämne eller en ny position med mer ansvar Möjlighet att arbeta i en positiv, inkluderande och aktiv arbetsmiljö där fokus ligger på säkerhet Arbeta i ett företag där hållbarhet står högt på agendan, där vi åtar oss att göra skillnad tillsammans med våra kunder Bra löne- och försäkringssystem, inklusive pensions- och sjukförsäkring via kollektivavtal Caverion är en drivande kraft för mångfald och jämställdhet Attraktiv förmånsportal Ansökan & Kontakt Om du tycker att detta låter intressant och har någon fråga, kontakta ansvarig rekryterare Lisbeth Hulander tel. 073-081 74 04 eller mail lisbeth.m.hulander@caverion.com Alla former för telefonsamtal som inte berör frågor om tjänsten, exempelvis rekryterings/bemanningsföretag/annonssäljare undanbedes.Urval sker löpande så skicka gärna in din ansökan redan idag. Välkommen med din ansökan!