Search results for "Operate production machines"

Om tjänsten Som konsult hos vår kund blir du en del av ett härligt team i produktionen där ni tillsammans säkerställer den dagliga verksamheten. Arbetet är förlagt på dagtid under vardagar och kunden tillämpar dag-till-dag-bokning. Vi ser gärna att du har en tillgänglighet på 3–4 dagar i veckan och kan påbörja upplärning omgående. Arbetsuppgifter I rollen som maskinoperatör inom produktion kommer dina arbetsuppgifter att variera och innefatta arbete i produktionen med maskin körning och maskin övervakning, kvalitetskontroller samt montering av kosmetikprodukter. Du kan även komma att arbeta med hand paketering av färdiga produkter. Arbetet utförs i renrum, vilket innebär att det är oerhört viktigt att följa samtliga regler och rutiner kring arbetskläder, hygien, säkerhet och arbetssätt. Noggrannhet och ansvarstagande är därför avgörande i rollen. Arbetsuppgifterna inkluderar bland annat: Maskin övervakning och maskin körning Dokumentation och kvalitetskontroller Paketering och montering Profil & bakgrund För att vara aktuell för tjänsten är det ett krav att du har tidigare erfarenhet av arbete som maskinoperatör inom produktion. Vi ser även att du har erfarenhet av industriellt arbete sedan tidigare. Som person är du flexibel, noggrann och ansvarstagande, med god förmåga att arbeta både självständigt och i grupp. Rollen innebär arbete vid flera olika stationer och för att trivas behöver du vara bekväm med monotona arbetsuppgifter. Det är ett krav att du har goda kunskaper i svenska, både i tal och skrift. Rekryteringsprocess och ansökan Under rekryteringsprocessen genomförs Bakgrundskontroll gällande brottmål. Du får själv ta del av resultatet och helt frivilligt att delge det med rekryterare. Mer information ges under processens gång.  Om Boxflow Boxflow är ett av Sveriges snabbast växande logistikbolag och erbjuder tjänster inom tredjepartslogistik, sitelösningar, konsulttjänster samt bemanning av personal inom logistik och industri. Boxflow har verksamhet i Halmstad, Göteborg, Stockholm, Västerås Helsingborg, Malmö, Kristianstad och Perstorp. Inom de närmsta åren beräknas Boxflow omsätta 1 miljard kronor och ha fler än 1100 anställda. Genom nära och långsiktiga samarbeten skapar Boxflow förutsättningar för hållbara och kostnadseffektiva logistiklösningar. Boxflows vision är att bli Norra Europas ledande logistikföretag.

Execute Precision Manufacturing at the Core of a Deep-Tech Scale-Up At Smart High Tech, we are transforming advanced materials into industrial production. Our graphene-based technology enables the next generation of AI systems, electronics and data centres, where performance depends on precision, quality and consistency. As we scale production, we are looking for Production Operators who take pride in executing critical manufacturing processes with accuracy, discipline and attention to detail. Your Mission You will play a key role in ensuring stable, safe and high-quality production. Your work directly impacts: Product quality Process stability Production efficiency What You Will DoProduction Operations Operate production equipment such as furnaces, coating lines and cutting machines. Perform material-handling, loading, and unloading activities. Ensure process parameters remain within defined specifications. Follow production schedules and work instructions. Quality & Process Control Monitor production performance and process conditions. Perform visual and dimensional quality inspections. Identify, report and escalate deviations. Support consistent product quality and process stability. Equipment & Maintenance Perform basic preventive maintenance and daily inspections. Maintain equipment cleanliness and operational readiness. Report technical issues and abnormalities to Maintenance. Documentation & Safety Register production data, material usage and quality observations. Ensure accurate and timely documentation. Maintain a clean, organised and safe work environment. Follow all safety procedures and operational standards. Key Interfaces You will work closely with: Production Leader Production Engineers Maintenance Team Quality Department Operations & Planning Who You Are You are reliable, quality-focused and enjoy working in a structured production environment. Required Qualifications Upper secondary education in Industrial Technology, Manufacturing or similar. Experience from manufacturing, production or process industries. Strong ability to follow instructions and work systematically. High focus on quality, safety and accuracy. Good communication skills in Swedish and English. Willingness to work shifts. Meritorious Experience operating furnaces, coating lines or similar process equipment. Experience from thermal processes, surface treatment or advanced manufacturing. Technical interest and basic mechanical understanding. Additional language skills. Why Join Smart High Tech? This is an opportunity to work with advanced manufacturing technologies in a fast-growing deep-tech company. You will: Be part of scaling innovative technology into global production. Work in a modern manufacturing environment with advanced processes. Receive support and training from experienced engineers and specialists. Contribute directly to product quality and operational success. Join a team where precision, responsibility and teamwork are highly valued. What Success Looks Like Within your first months, you have: Learned and mastered key production processes. Operated equipment independently and safely. Maintained stable output and quality standards. Contributed to efficient production and continuous improvement.

Are you an engineer who genuinely enjoys being on the production floor, working side by side with operators, troubleshooting machines, and turning practical ideas into reality? At Epishine, you'll combine daily production support with hands-on engineering, helping keep our unique roll-to-roll manufacturing process running reliably while continuously improving our equipment and ways of working. About Epishine Epishine is a Swedish energy impact company, reimagining the capture of light with market leading printed organic solar cells. Our technology captures indoor light to make electronics self-powered, making cables, disposable batteries and unnecessary maintenance a thing of the past. At Epishine, we foster a culture of collaboration, creativity and innovation where we encourage our employees to challenge the status quo and drive innovation. Our company is now growing and we are looking for more driven talents who want to grow and develop together with us! Go to www.epishine.com to read more about Epishine and our vision. The mission As a Production Engineer at Epishine, you will be part of our Production Engineering team, working at the core of our manufacturing operations. Your role will combine hands-on production work, machine maintenance, and operator support with continuous improvement of our unique roll-to-roll process. You will spend a significant part of your time close to the production line - operating equipment, troubleshooting issues, and ensuring stable and efficient day-to-day performance. By being actively involved in the process, you will build a deep understanding of our production challenges, enabling you to identify and implement practical, user-friendly improvements that strengthen both quality and capacity over time. Through your work, you will play an important role in maintaining reliable operations while contributing to the gradual scaling of our production and moving us closer to our vision of making energy a non-issue. Some of your tasks include: Operate, monitor, and maintain production equipment to ensure stable and efficient performance Support and collaborate closely with operators in daily production activities and problem-solving Contribute with mechanical modifications, add-ons, and upgrades to production equipment Identify, analyze, and resolve process deviations and equipment issues Drive and implement practical improvements in production processes, with a focus on usability and reliability Bridge improvements from development into production, ensuring they work effectively in daily operations Review and improve standard operating procedures Build broad process knowledge and train new operators and production engineers Depending on your experience and interests, there is an opportunity to take on a more team-leading role over time. You will collaborate closely with colleagues in Production Engineering, as well as with our R&D and Operations teams. You will initially report to our CTO and be based in our brand-new facilities in Tornby, Linköping. Who are we looking for? This is a role for someone who loves being on the shop floor. We are looking for an experienced Production Engineer who enjoys working close to production - supporting daily operations, working hands-on with equipment, and improving processes in practice. You are comfortable being on the shop floor, collaborating with operators, and helping keep production running smoothly. You likely have a relevant technical education and several years experience in a similar, technical role. You are used to troubleshooting, maintaining equipment, and implementing practical improvements that make a difference in day-to-day operations. Experience with roll-to-roll or similar continuous processes is a strong plus. Familiarity with mechanical modifications, automation, PLCs, or CAD is beneficial. As a person, you are a smooth communicator with a good understanding of how to take complex, technical solutions and make them suitable for the end user of the process (in our case, operators). You enjoy working with people, and you might even have experience of working as a team lead, where your ability to drive projects to the finish line has had a positive, measurable impact on manufacturing processes. You take responsibility for driving your own work forward to achieve results, and with your problem-solving approach, you get to the root of technical challenges to create long-term, sustainable solutions. Since we are a scale-up company where things happen quickly, you need to be flexible and able to quickly change your perspective. You have a humble attitude and are happy to seek help from your colleagues when you need to discuss solutions and measures. Last but not least, you are a reliable "doer" with a positive attitude! As our teams consist of employees from different parts of the world, you should be comfortable communicating both verbally and in writing in English. What do we offer? At Epishine, we offer the chance to be part of an exciting journey and the opportunity to contribute to a more sustainable planet. As a quickly growing scale-up, there will be opportunities for development, and you will have brilliant colleagues to collaborate with and learn from. Additionally, we offer a secure employment with pension and insurance benefits, yearly wellness allowance and a friendly company culture where collaboration, innovation and sustainability are at our core. The employment starts with a 6 month probation period. Application procedure Does this role sound exciting? Then apply today! Applications are open until the 31st of August but the recruitment might complete before that, so apply today if you are interested. Please note that we require the final candidates in this process to visit our facilities. We also use personality- and logic tests as part of our recruitment process to ensure an objective evaluation of candidates. As the role involves some work with thermoplastics, we require candidates to conduct a digital course as well as regular medical check-ups through our occupational health care provider.

PN Snedkeri is looking for an experienced Machine Carpenter to join our team in Vejen, Denmark. If you have experience working with woodworking machines and enjoy producing high-quality products, we would like to hear from you. Your Job You will work in our modern production facility, where you will: Set up and operate woodworking machines Produce wooden components with high precision Assemble and finish products Read and work from technical drawings Help with other workshop tasks when needed We Are Looking For Someone Who Has experience as a carpenter or machine carpenter Knows how to work with woodworking machinery Can read technical drawings Works carefully and independently Takes pride in delivering quality work Enjoys being part of a team You communicate in English What We Offer Full-time, permanent employment Good salary based on your experience Modern machines and a professional workshop Friendly colleagues and a good working environment A stable company with long-term employment opportunities Gross salary before tax from 25 EUR- 31 EUR per hourApprox 180 Hours per month. Pension: 8 percent Holiday pay: 12,5 percent corresponding to 5 weeks of paid holiday per year Working hours 06.00-15.00 and Friday 06.00- 12.00. Overtime work possible when the employee works independently also in weekends. Moving to Denmark The job is based in Vejen, Denmark. We will help you: Find accommodation close to the workplace Relocate to Denmark (transport costs covered) Settle into your new home and workplace The first interview will take place online via Microsoft Teams. About PN Snedkeri PN Snedkeri has been producing high-quality, custom-made interiors since 1983. We work on exclusive projects together with leading architects and combine traditional craftsmanship with modern technology. Apply Send your CV and application to sn@pnsnedkeri.dk We review applications continuously and will hire as soon as we find the right candidate. There's 1 vacant position

Mycronic is a global high-tech company that has been driving the electronics industry forward for over 50 years. We continue to grow and support customers across an increasing number of industries, and what we do shapes the technologies that define the society of the future - how we live our lives today and tomorrow. We are now looking for more people who want to join and strengthen our dedicated and driven teams at the forefront of technology. With us, you will work in an open, flexible, and collaborative environment where you collaborate closely with leading experts and take on challenging projects that turn ideas into reality and bring tomorrow’s electronics to life. Welcome to Mycronic! About the role Mycronic develops and manufactures advanced solutions for electronics and display production. Within one of our four divisions, the PCB Assembly Solutions division, we provide equipment and software for electronics production, including both standalone machines and complete production solutions. Our customers typically operate in environments with high product mix and small to medium-sized production series. As Product Manager, you will be part of a team of five, reporting to the Head of Product Management. You will collaborate closely with colleagues across marketing, sales, R&D, operations, supply chain, customer service, applications engineering and finance. The role also includes regular interaction with customers, suppliers and distributors. You will be based in Kista, where Mycronic has both offices and production facilities. Work tasks In this broad strategic and operational role, you will have overall responsibility for one of Mycronic’s products within the PCB Assembly Solutions division. You will drive long-term growth, profitability and market position by identifying business opportunities, developing the product strategy and translating customer and market insights into a clear roadmap. Your responsibilities will include: Defining product strategy, business plans, and the long-term evolution of the product portfolio. Owning and driving the product roadmap, prioritizing development initiatives based on market trends and customer needs. Ensuring long-term profitability and business performance through continuous tracking of product performance, market position, and key business metrics. Leading the full product lifecycle – from concept and development through launch, ongoing improvement, and end-of-life management. Aligning stakeholders across functions to ensure clear priorities, informed decision-making, and effective execution. Driving go-to-market activities and supporting sales and marketing with product positioning, customer insights, and competitive analysis. We are looking for We are looking for someone who combines a strong business mindset with technical understanding and takes clear ownership of their area of responsibility. You are strategic, results-oriented and skilled at turning customer needs into value-creating product and business decisions. You collaborate effectively across functions, communicate clearly and build trusted relationships with both internal and external stakeholders. Furthermore, you have: A Bachelor’s (BSc) or Master’s (MSc) degree in Industrial Engineering and Management, Mechanical Engineering, Electrical Engineering, Software Engineering, or a related discipline. A track record of working in or closely with product teams, with demonstrated ability to translate customer and market insights into decisions. Several years of professional experience in product management, project management, or a related cross-functional role. Excellent written and spoken English. It is considered an advantage if you have: Knowledge of relevant domains, systems or standards within SMT, PCBA or a related industry. Experience from a manufacturing, industrial, or technology company. Other information Start: According to agreement  Location: Kista + travel Extent: Full-time Contact details: Recruitment Consultant Johanna Sörell, johanna.sorell@academicwork.se and Vera Mohlin, vera.mohlin@academicwork.se This recruitment process is managed by Academic Work. Mycronic requests that all questions regarding the position are directed to Academic Work. Our recruitment process Personality and problem-solving tests Phone interview with Academic Work In-depth interview with Academic Work Interviews with Mycronic Reference checking & final decision

About the role We are looking for a Senior DevOps Engineer to join our DevOps team and take ownership of cloud and platform environments as we scale our SaaS platform. In this role, you will play a key part in ensuring the reliability, security, and continuous improvement of our infrastructure and DevOps pipelines. You will work hands-on together with the development and operations team to maintain production stability and enable efficient delivery. You will join a senior DevOps team consisting of two Senior DevOps Engineers and one Senior DBA, working collaboratively across multiple locations. What you'll do Cloud & Platform Management * Manage and operate Kubernetes workloads with best practices for scalability and resilience * Maintain and develop our cloud and platform environments * Work with ingress solutions such as NGINX (or equivalent) DevOps & CI/CD * Maintain and improve CI/CD pipelines and environments * Support and troubleshoot build and deployment workflows * Work closely with developers to streamline delivery processes Hosting & Infrastructure * Manage server hosting and virtualized infrastructure (VMs) * Perform performance tuning and optimization * Maintain backup solutions and ensure reliability Operations & Incident Management * Monitor systems, clusters, and infrastructure proactively * Participate in incident response and troubleshooting * Collaborate closely with development teams during incidents and changes Your profile * 5+ years of experience in DevOps, cloud infrastructure, or operations in production environments * Hands-on experience with Kubernetes and CI/CD pipelines * Experience working with both Windows and Linux environments * Strong skills in troubleshooting, performance optimization, and production environments * Experience with virtual machines and certificate management Nice-to-have * GitOps practices * Cloud security knowledge * Experience with Grafana or OpenStack You are a collaborative and humble team player who values knowledge sharing and enjoys working closely with others. You take ownership of your work, care about quality, and approach problems in a structured and analytical way. You are comfortable working in production environments where reliability matters. At the same time, you’re curious and motivated to explore new technologies and continuously improve how things are done. About Bjorn Lunden Bjorn Lunden is the business platform that makes everyday life easier for small and medium-sized companies. The conviction is simple: every business deserves the opportunity to grow. The company’s ambitions are high. The vision is to become one of the leading providers of software solutions for accounting and finance in Northwestern Europe. With roots in Hälsingland, in the small village of Näsviken, Bjorn Lunden has grown rapidly in recent years and transformed from a national company into an international group. In addition to Sweden, the company is present in the Netherlands and Denmark. The goal is clear: to make life easier for entrepreneurs and business owners through great software, knowledge, innovation and with our core values TACO — Trust, Ambition, Collaboration and Ownership. The offer Bjorn Lunden offers a role in an international and growing company with a strong market position and bold ambitions to challenge the largest players in the industry. Employee wellbeing is a priority. The company strives to be a fair and responsible employer that supports a healthy work-life balance, offering competitive benefits, 30 days of vacation and flexibility. The ambition is to be the employer of choice for people who value a positive and engaging work environment — and who enjoy having fun at work. About Amendo Amendo is one of Sweden’s leading recruitment and consulting company, with a clear focus on accounting, banking, finance, insurance, IT, and tech roles and expertise. We help companies grow and people develop - we are your trusted and dedicated talent partner. Follow us on Linkedin, Instagram and Facebook. Questions and contact Bjorn Lunden is working with Amendo in this recruitment process. If you have any questions regarding this specific role, please contact Business Area Manager Johanna Hallenberg at johanna.hallenberg@amendo.se. Interviews and selection are ongoing so please do not hesitate to register your interest in the role.

Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually. Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms. Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.  ABOUT US Our mission is simple—we’re changing the way we care for our parents so they can live safely at home as they age. But how we accomplish our mission is anything but simple. Every day, we’re solving complex problems that don’t come with a playbook. Sound exciting? If you’re someone who shares our core values—Own the Outcome, Solve with Empathy, and Act with Honor—let’s talk. Founded in 2014, Honor is one of the fastest-growing non-medical home care companies in the U.S. We combine innovative technology with the local, personal touch of our partner agencies to transform a $30B industry that touches millions of families. Our platform powers everything from caregiver operations and workforce management to business intelligence, forecasting, and machine learning. At Honor, we’re not building technology for technology’s sake. We’re building technology that helps people deliver better care. THE OPPORTUNITY We’re looking for a Staff Data Engineer to help shape the future of Honor’s data platform. This role is focused on building the foundational data platform that powers analytics, machine learning, operational decision-making, and emerging AI capabilities across Honor. As a senior technical leader, you will define architecture, drive platform strategy, and lead the implementation of scalable systems that make trusted data accessible across the organization. This is an opportunity to join at a pivotal point in our evolution. We are modernizing our data platform, investing in cloud-native AWS services, and building the governance and data access capabilities needed to support the next generation of AI-powered and agentic workflows. You'll tackle complex technical challenges, influence company-wide architecture decisions, and help define how data is consumed across the business. WHAT YOU'LL DO BUILD AND EVOLVE OUR AWS-NATIVE DATA PLATFORM * Lead the architecture and development of scalable, secure, and cost-efficient data platforms on AWS. * Architect and optimize our Data Warehouse to support growing analytical, operational, and AI-driven workloads. * Define and implement Infrastructure-as-Code standards using AWS CDK. OWN DATA ORCHESTRATION AND DATA ENGINEERING FOUNDATIONS * Design and operate scalable orchestration frameworks using Airflow and FiveTran. * Partner with the Data Analytics team to establish data modeling standards and transformation practices using dbt. * Build reusable, maintainable data pipelines and workflows that enable rapid development and reliable operation. ENABLE TRUSTED DATA ACCESS THROUGH GOVERNANCE AND AI READINESS * Establish governance, metadata, lineage, and access patterns that make data discoverable, trustworthy, and easy to use. * Help define how both employees and AI-powered systems safely access and leverage company data. * Build the foundations that enable self-service analytics and future agentic workflows across the organization. DRIVE RELIABILITY, OBSERVABILITY, AND OPERATIONAL EXCELLENCE * Establish monitoring, alerting, and observability standards using Datadog and modern platform engineering practices. * Build scalable data quality frameworks that ensure confidence in business-critical data. * Continuously improve platform reliability, performance, and cloud cost efficiency. LEAD THROUGH TECHNICAL INFLUENCE AND PARTNERSHIP * Partner closely with Data Science, Analytics, Product, and Engineering teams to solve complex business problems through data. * Provide technical leadership, architectural guidance, and mentorship across the data organization. * Influence long-term platform strategy and engineering best practices across multiple teams. WHAT WE'RE LOOKING FOR * 8–10+ years of experience building and operating large-scale data platforms, pipelines, and warehouses in cloud environments, with deep expertise in AWS. * Proven track record leading complex technical initiatives and influencing architecture across teams. * Strong software engineering fundamentals and experience building production-grade systems. * Deep expertise in modern data warehousing, ELT/ETL architectures, and data platform design. * Experience operating data platforms with a focus on reliability, observability, data quality, and cost optimization. * Proven ability to leverage modern AI-assisted and agentic development tools to architect, build, and operate production-grade systems. * Experience partnering with data scientists, analysts, product managers, and software engineers to deliver business impact. * Demonstrated ability to navigate ambiguity, drive alignment, and lead through influence rather than authority. * Passion for building platforms that empower others and scale organizational impact. PREFERRED QUALIFICATIONS * Strong hands-on experience with Python, Amazon Redshift, AWS-native ETL technologies (including ZeroETL and DMS), Airflow, dbt, Datadog, Fivetran, and AWS CDK. * Experience designing data governance, metadata, lineage, or self-service data platforms. * Experience supporting AI, machine learning, or agentic workflow initiatives. * Experience leading platform modernization efforts in high-growth environments. * Experience as a Staff Engineer, Principal Engineer, Technical Lead, or Engineering Manager. WHAT'S NEXT? Sound like a fit? Apply below! #LI-AN1 Our range reflects the hiring range for this position.  We use national average to determine pay as we are a remote first company.  Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program.  Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees.  Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option.  We offer a generous time off program, mental health benefits, wellness program, and discount program.   Hiring Salary Range $194,000—$220,000 USD At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role. Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.

SUMMARY OF THE ROLE: As ML Engineer at Maze, you'll be the technical leader driving our machine learning infrastructure from experimentation to production, ensuring our AI-powered cybersecurity solutions deliver measurable impact for customers worldwide. This is a unique opportunity to join as one of the early engineering team members of a well-funded startup building breakthrough applications of LLMs and AI agents in cybersecurity. You'll take full ownership of evaluation frameworks, production ML pipelines, and cross-team ML integration, working closely with our CTO and product teams to transform cutting-edge AI research into robust, scalable solutions that solve real security challenges. Your success will be measured by agent performance improvements and product innovation impact, not just technical metrics. This role is perfect for a hands-on ML engineer who has scaled production ML systems across multiple companies, thinks like a product builder, and wants to drive the actual productionization of LLMs and ML to solve significant pain points. YOUR CONTRIBUTIONS TO OUR JOURNEY: * Build Production-Grade Evaluation Systems: Design and implement comprehensive evaluation frameworks that measure agent performance, track improvements over time, and ensure our AI systems deliver consistent value to customers * Drive Experimentation-to-Production Pipeline: Own the entire ML lifecycle from prototype to production, building scalable systems that enable rapid iteration while maintaining reliability and performance in customer environments * Enable Cross-Team ML Integration: Work closely with product teams to seamlessly integrate ML capabilities into customer-facing features, ensuring technical excellence translates into user value and product differentiation * Optimize AI Agent Performance: Continuously improve our AI agents through systematic experimentation, prompt engineering, and architectural enhancements, measuring success through customer impact and system performance * Scale ML Infrastructure: Build the foundational ML systems, monitoring, and tooling that will support our growth from startup to scale, ensuring we can deploy new capabilities quickly without compromising quality * Partner with Engineering Leadership: Collaborate directly with our CTO through regular check-ins and strategic alignment while operating with high autonomy and self-direction in day-to-day execution * Mentor Through Excellence: Provide natural mentorship to junior ML engineers through code reviews, technical guidance, and sharing practical experience from building production ML systems WHAT YOU NEED TO BE SUCCESSFUL: * Proven Production ML Experience: 6+ years building and scaling machine learning systems in production environments, with hands-on experience moving from experimentation to customer-facing deployments * Deep Neural Networks Foundation: Strong background in classical neural networks and deep learning fundamentals before specializing in modern LLMs and transformer architectures - you understand the foundations, not just the latest tools * Product-Focused ML Mindset: Experience building ML systems that solve real business problems, with a track record of integrating classification, prediction, or recommendation systems into actual products customers use * Multi-Company Perspective: Experience across multiple organizations (scale-ups, startups, or combination), giving you practical knowledge of what tools to build vs buy and how to avoid over-engineering * Technical Versatility: Strong Python skills with flexibility across ML frameworks and tools - comfortable adapting to our stack including LangChain, evaluation frameworks, and workflow orchestration tools like Temporal * Self-Directed Leadership: Ability to operate autonomously while maintaining close alignment with leadership, comfortable with frequent check-ins but capable of driving projects independently * Cross-Functional Collaboration: Experience working closely with product teams and potentially customers, translating technical capabilities into business value and user experiences * Nice to Haves: * Experience with AI agents, LLMs, or modern generative AI applications * Cybersecurity domain knowledge or experience applying ML to security challenges * Background at ML-first companies or organizations where ML was core to the product * Experience with modern MLOps practices and cloud-based ML infrastructure * Track record of optimizing model performance and controlling AI system costs WHY JOIN US: * Real-World AI Impact: Drive the actual productionization of LLMs and machine learning to solve significant cybersecurity pain points - your work will directly protect organizations from real threats, not just optimize internal metrics * Technical Leadership Opportunity: Work directly with our CTO on cutting-edge ML infrastructure while having the autonomy to shape technical decisions and build systems that scale with our hypergrowth * Expert Team Partnership: Join a team of hands-on leaders with experience in Big Tech and Scale-ups, including leadership team members who have been part of multiple acquisitions and an IPO * Build the AI-Native Future: Shape how generative AI transforms cybersecurity from the ground up, establishing ML practices and technical standards that will define the industry * Multiple Growth Pathways: Clear opportunities to grow into Head of ML Engineering, become a domain technical lead, move into customer-facing technical roles, or excel as a senior individual contributor - the choice is yours based on your interests and our needs * Breakthrough Technology: Work at the intersection of generative AI and cybersecurity, building solutions that leverage the latest advances in LLMs and AI agents to solve some of the most pressing challenges security teams face today

2MNordic is a Swedish IT consulting company. Since 2001, we’ve helped our customers to re-engineer, digitalize, manage and operate their most essential product development, advancing the ways of working that improve customer experiences, heighten efficiency and lower operating costs to deliver clear outcomes and topline growth. We have the pleasure to work with many varying companies across a couple of industries. Our highest priority is to create best customer experience by working across different skill sets, technologies and locations as a cohesive team with our customers delivering digital solutions that drive their business growth and increase operating efficiency. NOTE its 100% Onsite in Malmö, with start date ASAP. Senior Machine Learning Engineer / Data Scientist Are you passionate about applying machine learning to solve real-world problems at scale? We are looking for an experienced Machine Learning Engineer or Data Scientist to develop intelligent solutions that improve data quality, automate analysis, and generate valuable business insights. You will work across the full machine learning lifecycle—from experimentation and model development to production deployment and continuous improvement. Responsibilities Design, develop, and deploy machine learning models. Build scalable data pipelines and software solutions. Analyze large datasets to improve quality and generate actionable insights. Develop and optimize NLP and machine learning solutions. Integrate machine learning models into production systems. Collaborate with software engineers, data engineers, and domain experts. Take ownership of features throughout the entire development lifecycle. Required Qualifications Strong programming skills in Python. Solid experience in Machine Learning and Data Science. Experience with LLMs, prompt engineering, and agent-based AI solutions. Experience with frameworks such as PyTorch, TensorFlow, Scikit-learn, Keras, Pandas, and NumPy. Strong understanding of supervised and unsupervised machine learning algorithms. Experience building scalable production-ready ML solutions. Strong analytical and problem-solving skills. Excellent communication skills in English. Meritorious Experience with Java or Scala. Knowledge of NLP, Information Retrieval, Data Mining, or Predictive Analytics. Experience building statistical or predictive models. Personal Profile You are curious, analytical, and motivated by solving challenging problems with data. You enjoy working collaboratively, taking ownership, and turning research into production-ready solutions that create real business value. Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will join a data-driven environment where optimization and analytics play a central role in improving decision-making. In this role, you will work hands-on with production-grade optimization models and help evolve them from robust analytical tools into scalable, reliable solutions used in practice. The work spans the full flow from data wrangling and model development to deployment, monitoring, and stakeholder dialogue. You will operate in a cross-functional setting and help connect business needs with technical solutions in a domain where complex data, cloud platforms, and advanced modeling come together. This is a strong opportunity for you who enjoy combining discrete optimization, machine learning, and production-ready engineering in one role. Job DescriptionYou will maintain and improve existing optimization models by identifying weaknesses, refining logic, and scaling performance. You will develop and support production-grade solutions for optimization and analytics, with a focus on robustness, maintainability, and efficiency. You will prepare, transform, and enrich data by improving data wrangling pipelines and integrating additional data sources. You will present model outputs and analytical insights to stakeholders and translate business needs into technical approaches. You will monitor and maintain deployed solutions on GCP to ensure stable and efficient performance over time. You will collaborate closely with Data Scientists, ML Engineers, and Product Managers to improve model reliability, scalability, and impact. You will contribute to deployment, monitoring, and lifecycle management practices for machine learning models. You will perform ad hoc analyses and build visualizations that support data-driven decisions across teams. RequirementsStrong experience with discrete optimization models, including Linear Programming, Integer Programming, or Mixed Integer Programming. Proven experience developing and deploying machine learning models in the cloud, preferably on GCP. Solid Python skills and the ability to write clean, efficient, modular, production-ready code that is easy to maintain and test. Strong SQL skills for data manipulation and analysis. Experience building robust data wrangling, aggregation, and preparation pipelines across diverse data sources. Familiarity with DBT for data transformation. Ability to work effectively in Agile, cross-functional teams. You communicate clearly with both technical and non-technical stakeholders and are comfortable working in complex problem domains. Nice to haveHands-on experience with MLOps and CI/CD pipelines. Experience working with Google Cloud Platform in production environments. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.

You know that bit where every company says they’re “changing the world”? Yeah, it can feel a little forced. But we like to think our story actually has some realness to it. Our story begins with Shadi Bitar and Ninos Malki, who came to Sweden from Syria as kids and discovered that books could be a bridge - helping them learn the language, understand the culture, and explore new worlds. A thought emerged, what if everyone could have that? And just like that, Nextory was born - your all-access pass to read, listen, and discover new perspectives without limits. And now, we're on a quest to find a Machine Learning Engineer.  Let us tell you about the role 📖 As a Machine Learning Engineer at Nextory, you'll build the systems that power how users discover, understand, and engage with books. You'll work across AI agents, search, recommendations, retrieval, and product experiences, turning advances in AI into features that users interact with every day. Some examples of what you'll be doing: * Build intelligent recommendation, search, and discovery systems that help users find their next favorite book and connect with the right content faster. * Use AI, user behavior, and content understanding to continuously improve relevance, engagement, and user experience. * Design, build, and operate scalable machine learning systems using LLMs, retrieval, recommendation, and agent technologies. * Collaborate across product and engineering teams to deliver reliable AI-powered features with measurable user impact. Your story so far 👀 We believe you're an experienced engineer who enjoys solving complex problems and turning emerging technology into products that people love using. You are comfortable moving between product thinking and technical implementation, and you thrive in environments where experimentation, ownership, and fast iteration are part of everyday work. We also believe that you have: * BSc in Computer Science or another relevant field, or equivalent work experience. * At least 3 years of experience in a similar role * Strong programming skills in Python. * Experience working with AI agents and agent-based systems. * Experience building and shipping LLM-powered features to production. The Nextory way of working 🏠 At Nextory, we believe a strong and inclusive culture is key to our success and that culture flourishes when we meet and collaborate in person as much as possible. That’s why we spend the majority of the working time at our beautiful office! We are based in Stockholm, Sweden, with offices in Paris and Bangalore. Our hybrid work policy includes four days in the office and Wednesdays as a work-from-home day. Your next story starts here 💫 We look forward to your application 💫. Applications are reviewed continuously, but please note that due to summer vacations, our response times may be a little longer than usual. If you have any questions about the role, please contact erika.thorslund@nextory.com. Please note that we do not offer relocation and that a six-month probationary period applies.

Job Description WHAT YOU’LL DO​ As a Senior Data Scientist, you will work hands on to solve complex business and product problems using data and machine learning. You will collaborate closely with cross functional teams and be expected to work pragmatically, navigate ambiguity, and focus on delivering measurable impact. Own and contribute to data science initiatives end to end, from understanding problem statements and exploring data to building, deploying, and maintaining models in production. Design, deploy, and operate LLM‑powered tools and workflows in production, with responsibility for evaluation, monitoring, and continuous improvement Apply statistical methods, machine learning, and advanced analytics to support product and business decisions. Develop, test, and improve models and data‑driven solutions with a strong focus on quality, scalability, and long‑term maintainability. Take responsibility for solutions after deployment, including monitoring, troubleshooting, and iterative improvements. Perform exploratory and ad hoc data analysis, and present insights in a clear and structured way. Communicate closely with stakeholders to translate business needs into analytical approaches and explain outcomes in an accessible manner. Contribute to technical standards, best practices, and knowledge sharing within the data science community. ​ WHO YOU’LL WORK WITH​ You will work in cross‑functional teams together with colleagues in product, engineering, analytics, and business roles. You will also be part of a broader Data Science community, collaborating with other data scientists to share knowledge, align on best practices, and continuously improve how data science is applied across the organisation. ​ ​ WHO YOU ARE​ We are looking for people with…​ ​A Bachelor’s or Master’s degree in Statistics, Engineering, Computer Science, or a related field. Strong theoretical and practical knowledge of statistics and machine learning. Proven experience developing and deploying machine learning models in cloud environments beyond notebook‑based work. Hands‑on experience building and deploying LLM‑based applications, including fine‑tuning, retrieval pipelines, and prompt engineering. Strong proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, LangChain, or similar libraries. Practical experience with MLOps practices, CI/CD pipelines, and model monitoring, ideally in a cloud environment. And people who are…​ Strong in their SQL skills for data manipulation and analysis Familiar with DBT or similar data transformation tools​ Experienced with vector databases and embedding models Excellent communicators and confident taking ownership and accountability Comfortable working in ambiguity while being proactive ​Please note that we will not be able to offer relocation for this role, so we will not be able to proceed with candidates living/working outside of Sweden. WHO WE ARE​ H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make.​ ​ We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. ​ ​ WHY YOU’LL LOVE WORKING HERE ​ At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. ​ We offer all our employee’s attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all our H&M Group brands in stores and online. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here. ​30 days holiday We offer a collective agreement which includes pension and life insurance H&M Incentive Program Wellness benefit 4000kr/year (from Jan 1, 2026) Benify Benefits Portal Community with activities JOIN US​ Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are.​ Take the next step in your career together with us. The journey starts here.​ *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.

Gemkom Engineering and Machinery Filial is a newly established branch of the Turkish company Gemkom. It is a leading engineering and manufacturing company that operates in a number of areas and in various ways within the steel industry. We are participating in a project where STEGRA (H2 Green Steel) establishes a steel mill in Norra Svartbyn in Boden where steel will be produced through an almost fossil-free process using hydrogen gas. Our mission is, among other things, to install machines used in steel production and includes work in mechanics, electronics and plumbing. We now want to employ a HSE Manager (Health, Safety and Environment Manager). The work tasks may include but are not limited to: Job Description Responsible for preparing HSE plan according to the main contract procedures. Responsible for organizing the HSE team in Boden site. Responsible for the organization in the site between main company, subcontractors and the Employee Final approval for the HSE precautions taken in the site. Responsible for selecting HSE staff for Boden Team if needed. Responsible for leading the monthly and weekly HSE meetings. Desirable qualifications (not mandatory) Having a degree in HSE Engineering. Experience as HSE engineer. Experience of similar EU based industrial project. Having IOSH and NEBOSH certificates. Good command of written and verbal English. Good skills of communication and organization with the team. Knowledge of organizing the HSE plan for the project. No handicap of living at Boden or Lulea. Our headquarters are in Stockholm and applications are received via the specified e-mail address.

Gemkom Engineering and Machinery Filial is a newly established branch of the Turkish company Gemkom. It is a leading engineering and manufacturing company that operates in a number of areas and in various ways within the steel industry. We are participating in a project where Stegra AB establishes a steel mill in Norra Svartbyn in Boden where steel will be produced through an almost fossil-free process using hydrogen gas. Our mission is, among other things, to install machines used in steel production and includes work in mechanics, electronics, and plumbing. We now want to employ a QA/QC Engineer. The work tasks may include but are not limited to: Qualifications: · Having an Bachelor of Science Mechanical Engineer Diploma/ IWE AWS-CWI QC1 Welding Inspector Certificate, NDE PT-MT-RT-UT Certificates · Having no obstacles to reside in Boden Construction Site (accommodation will provided by Employer- GEMKOM Will provide financial support for food) · Having at least 5 years of Pipe Line (Oil/Gas/Fluid) /Pressure Vessel Welding Experience PWPS (Pre Welding Process Specification), WPS (Welding Process specifications), PQR (Process Qualification Record), WQR (Welder Qualification Record) Preparation knowledge. · Inspection Test Plan (ITP) Preparation knowledge and experience · Ability to read Technical Drawings (Welding Symbols) · Microsoft Office Program Knowledge (Good knowledge of Excel is preferred) · Steel Structure Erection Experience (Torque Control etc..) is preferred · Knowledge and ability to follow ASME, AWS, ASTM and ISO Standards Related Welding and Steel Structure) (ASME Section VIII and IX BOILER AND PRESSURE CODE), PED 2014/68/EU Annex I Section 3.0 and EN 13445-5, AMERICAN WELDIND SOCIETY D1.1 Structural Welding Code EN 13445-5, Knowledge RT According to ASTM Section V and VIII BOILER AND PRESSURE CODE), PED 2014/68/EU Annex I Section 3.0 and EN 13445-5 · Familiar with weld maps/WPS log Preparation · Capable of Preparing Welding Map – Project Weld Report (Initial and Production) · Familiar with different Welding Techniques like (GTAW-SMAW-GMAW-SAW-FCAW) as well as Electrodes and Filler Wires · Experience with Mechanical Completion Document Preparation and Walk Through Audits. Job Description: Coordinating with staff and sub-contractors on site for project QA-QC progress and process mainly for overall piping weld log improvement at DRP and Gemkom Spool Fabrication Workshop. Conducting on Site VI Visual Inspections at DRP and Spool Fabrication workshop via NOIs when required. Carrying on QA/QC documentation and document controlliny support digital and hard copy QA/QC documentation. QA/QC Planning time & resources, scheduling the inspection activities, updating actual progress and quality documentation, analysing variance, interpreting KPIs, forecasting weekly & monthly inspection requirements etc. Monitoring/discussing QA based documentation submission performance status; QC Supervising all construction activities including providing technical inputs for inspection and documentation methodologies of construction & co-ordination with site management activities of additional LDD works via NCR management system. Attending open box inspections of complex equipment, ensuring that equipment/ materials received are in accordance with the quantity & quality with coordination of logistics when necessary. Responsible for coordination with the engineering, purchase and finance department for design & drawing specification, dispatch of materials at site’s, raising invoice and payment. Interacting with client for securing quick approval of the designs provided & carrying out planning as per pert chart requirement. Schedule, coordinate, follow up the documentation VT-MT-PT-UT-RT activities in Piping Weld log and documentation systems. Supporting documentation for WPS, pWPS documents, contacting 3.Part Companies which are licenced /accredited for (GTAW-SMAW-GMAW-SAW-FCAW) welding PQR preparations Supporting documentation for Welding Map – Project Weld Report (Initial and Production) Weld maps/WPS log Preparation Supporting documentation for Post Welding Heat Treatment and Pre -Welding Heat Treatment Inspection and Guidance, coordinating PWHT activities, reporting follow up and weld log & digital system entries. Guadiance and Prepapartion, follow up,documentation of below Quality Control Documents UT Ultrasonic Testing MT Magnetic Particle Testing VT Visual Testing PT Penetrant Testing RT Radiographic Testing Inspection Test Plan (ITP) Preparation Opening NOIs at DRP and Spool Fabrication Workshop Inspect Welding Joint Preparations and Welding Quality by Sampling Review of Project Welding Report, giving trainings/tool boxes to Welders in order to minimize Weld Rejection Rate Control of Welding Consumables at DRP and Spool Fabrication Workshop Preparation of Pipe Line (Oil/Gas/Fluid) /Pressure Vessel Welding Control Reports and Inspection Test Plans Preparing pWPS (Pre Welding Process Specification), WPS (Welding Process specifications), Preparing /Collecting / Preserving the necessary documents for finishing the piping/ steel structure/ mechanical installations/ instrumentation and electric SOW related documents after each related Handover/Completition Process (MDR dossier of QA/QC).

Gemkom Engineering and Machinery Filial is a newly established branch of the Turkish company Gemkom. It is a leading engineering and manufacturing company that operates in a number of areas and in various ways within the steel industry. We are participating in a project where Stegra AB establishes a steel mill in Norra Svartbyn in Boden where steel will be produced through an almost fossil-free process using hydrogen gas. Our mission is, among other things, to install machines used in steel production and includes work in mechanics, electronics and plumbing. We now want to employ Cleaners. The work tasks may include but are not limited to: Job Description · Clean offices, meeting rooms, reception areas, corridors, kitchens, dining areas, and other common spaces. · Sweep, vacuum, mop, and maintain floors in a clean condition. · Dust and wipe desks, furniture, shelves, windowsills, and other surfaces. · Empty waste bins and replace waste bags. · Clean and sanitize toilets, washrooms, and kitchen facilities. · Refill consumables such as soap, paper towels, toilet paper, coffee, tea, sugar, milk, and drinking water. · Prepare and serve tea, coffee, and other refreshments to employees, visitors, and guests as required. · Set up and maintain refreshment stations and meeting room catering before, during, and after meetings. · Wash and store cups, glasses, plates, and kitchen utensils. · Maintain cleanliness and hygiene of kitchenettes, coffee machines, refrigerators, microwaves, and other pantry equipment. · Monitor stocks of cleaning materials and pantry supplies and inform the Administration Department when replenishment is required. · Report maintenance issues, damages, or safety hazards to the Administration Department. · Use cleaning equipment and chemicals safely and in accordance with company procedures. · Follow all Health, Safety, and Environmental (HSE) policies and hygiene standards. · Perform any other reasonable duties assigned by the supervisor. Our headquarters are in Stockholm, and applications are received via the specified e-mail address.

Software Engineer – CellaVision Join CellaVision and help shape the future of digital cell morphology. After years of research and innovation, CellaVision is ready to take the next step in digital cell morphology. Do you want to be part of CellaVision’s newest venture, working with cutting-edge technologies to develop one of the key diagnostic tools in cancer care? If so, this is your opportunity to join CellaVision. About CellaVision CellaVision is the global leader in digital cell morphology within hematology, and our analyzers are used in healthcare laboratories around the world. We operate at the forefront of technology, applying the latest advances in software development, digital imaging, and machine learning to create real value for our customers. www.cellavision.com About the Role We are looking for a versatile engineer who enjoys working in a dynamic environment where research meets product development. You are curious, hands-on, and comfortable moving between exploratory work and the structure needed to turn ideas into robust products. You adapt quickly to changing priorities and new challenges, and you thrive in a setting where not everything is fully defined from the start. You enjoy solving complex problems, collaborating across disciplines, and contributing wherever needed to move the product and team forward. You value teamwork, take ownership of your work, and can balance innovation with quality and delivery. As a Software Engineer in CellaVision, your work will include: Working across the full development spectrum, from research-oriented exploration to product-ready implementation Contributing to feature development using technologies such as C++, C# and Python Developing and refining algorithms within digital imaging Applying and further developing methods within AI and machine learning Reviewing code, hunting bugs, and optimizing performance Collaborating across disciplines to solve complex problems and adapt solutions as product and research needs evolve Contributing to software design and architecture for robust, scalable solutions Taking part in building new ways of working in a team operating in a fast-moving and evolving technical area Utilizing AI tools to speed up software development Our Offer At CellaVision, you will be part of an innovative and international environment with a company culture that encourages collaboration, initiative, and the execution of great ideas that create customer value. We also offer: Flexible working hours and reduced working hours to support work–life balance Secure employment covered by a collective agreement, including insurance, occupational pension, parental leave supplements, and more A strong focus on wellbeing and health, including: Free gym at the office Wellness allowance Lunch benefit Sponsored running events Discounts on gym memberships A modern office designed to support collaboration and a healthy work environment A team-oriented culture where we enjoy working together and meeting for weekly breakfasts About You You have experience in product development, from prototype through to production. You understand the value of teamwork and are comfortable breaking down complex challenges into manageable parts that can be solved effectively within a team setting. You remain calm and structured in demanding situations, and you have a strong ability to prioritize and focus on what matters most. Your Background We believe you have: An M.Sc. in Engineering or a related field Experience in product development involving software and Machine Learning Experience working as a software developer Experience in the design and implementation of software architecture Experience in computer vision and digital imaging Strong communication skills in English, both written and spoken Care to Join? This is a full-time position based at CellaVision HQ in Lund, Sweden, in our modern offices with excellent infrastructure and commuting options. We are looking to fill the position as soon as possible. In this recruitment process, we are partnering with Radeptus. For any questions regarding the position, please contact Jenny Månsson at +46 703 318 506 or via email at jenny@adeptus.se. Please submit your application here. We do not accept applications via email.