National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Manufacturing Operator - 23 Months

Siemens Healthcare Diagnostics
8 months ago
Applications closed

Related Jobs

View all jobs

IT Manager (Manufacturing)

Data Analyst

C# Developer

Quality Engineer

Data Analyst

Data Analyst

Manufacturing Operator

Check all associated application documentation thoroughly before clicking on the apply button at the bottom of this description.
- 23 Month Contract #siemens Do you want to join us in helping to fight the world's most threatening diseases and enabling access to care for more people around the world? At Siemens Healthineers, we pioneer breakthroughs in healthcare.

For everyone.

Everywhere.

Sustainably.

We offer you a flexible and dynamic environment with opportunities to go beyond your comfort zone in order to grow personally and professionally.

Sound interesting? Then come and join our global team as Manufacturing Operator at our facility in Swords, Dublin Your tasks and responsibilities: Assemble and test product per company procedures and drawings.

Complete all necessary documentation and ensure that all required records are accurately maintained.

Achieve weekly targets through effective teamwork.

Ensure that work areas and equipment are maintained in accordance with company requirements and that all safety rules and procedures are observed.

Assist in maintaining stock accuracy.

Train fellow operators.

Assist other departments when required.

Participation in all company audits.

Other assignments as necessary To find out more about the specific business, have a look at Siemens Healthcare Diagnostics Manufacturing Limited
- Swords (siemens- Your qualifications and experience: Leaving certificate.

FAS training in electromechanical assembly would be an advantage ...

Plus 2 years experience in a similar manufacturing environment SAP Your attributes and skills: Flexible and Adaptive Accuracy and attention to detail Strong problem solving skills Time Management Collaborate & Communicate with a team Our global team: We are a team of more than 70,000 highly dedicated employees across more than 70 countries passionately pushing the boundaries of what's possible in healthcare to help improve people's lives around the world.

As a leader in the industry, we aspire to create better outcomes and experiences for patients no matter where they live or what health issues they are facing.

Our portfolio, spanning from in-vitro and in-vivo diagnostics to image-guided therapy and innovative cancer care, is crucial for clinical decision-making and treatment pathways.

Our culture: We are part of an incredible community of scientists, clinicians, developers, researchers, professionals, and skilled specialists pushing the boundaries of what's possible, to improve people's lives around the world.

We embrace a culture of inclusivity in which the power and potential of every individual can be unleashed.

We spark ideas that lead to positive impact and continued success.

Check our Careers Site at Jobs at Siemens Healthineers (siemens- As an equal opportunity employer, we welcome applications from individuals with disabilities.

We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously.

For this reason, we ask you not to send us your CV or resume by email.

We ask instead that you create a profile in our talent community where you can upload your CV.

Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open.

To be considered for this role you will be redirected to and must complete the application process on our careers page.

To start the process, click the Apply button below to Login/Register.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.