Civil Engineer apprentice jobs
Sort by: relevance | dateSenior Machine Learning Engineer, AI
Description Our collective blend of expertise and experience makes PwC a great place to work. PwC Ireland welcomes top talent from all backgrounds to join us at the start of what will be your lifelong journey of development and discovery. Let's see where your talent could take you. Line of Service Advisory Industry/Sector Not Applicable Specialism Technology Strategy Management Level Manager Job Description & Summary PwC Ireland- Bring Your Talent, Grow Your Skills, Unlock Your Potential! Join our "New Products and Services" team, where you’ll be part of a newly created team responsible for leading the enablement of innovative AI solutions that create meaningful impact for our firm, clients and society. As a Senior Machine Learning Engineer. you'll play a key part in developing advanced machine learning and AI solutions, contributing to our AI strategy, and driving innovation.You will work closely with data scientists, product developers, and business strategists to transform ideas and concepts into practical, scalable solutions. This role offers the chance to explore and apply emerging technologies and advanced techniques, ensuring our solutions remain at the forefront of the industry and continue to address the evolving needs of our clients. If you're passionate about exploring new possibilities, pushing the boundaries of AI and eager to make a meaningful impact in a forward-thinking, dynamic setting, this could be the role for you! Why Join Us? Empowerment: Enjoy the freedom to explore and innovate, with a supportive team that values your unique perspective. Impact: Make a lasting difference with your work, contributing to projects that drive meaningful change. Growth: Thrive in a nurturing and collaborative environment that prioritises your well-being, professional development, learning with access to the latest technology and tools. Inclusivity: Be part of a diverse and inclusive workplace where everyone’s voice is heard and respected. Purpose-led work you’ll be part of As a Machine Learning Data Engineer, you will drive AI innovation by developing scalable solutions, and turning complex concepts into impactful, real-world applications through close collaboration across teams. Key Responsibilities: Enjoy PwC’s perks We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive employee benefits and flexibility programs that will help you thrive in work and life. Learn more about us at Life@PwC. (https://www.pwc.ie/careers-ie/life-at-pwc.html). Being appreciated for being you Our most valuable asset is our people and we grow stronger as we learn from one another. We are an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We believe this so much that we have signed up for the Business in the Community Elevate Pledge. (https://www.bitc.ie/the-leaders-group-on-sustainability/inclusive-workplace-pledge/) You can learn more about our culture of belonging and explore our range of inclusive programmes, initiatives, employee resource groups and more at www.pwc.ie. Avoid the confidence gap; you do not have to match all the listed requirements exactly to apply, we’d love to hear from you! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please email us for more information. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required:Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Up to 20% Available for Work Visa Sponsorship? Yes Government Clearance Required? No Job Posting End Date PwC Ireland is committed to creating an environment that promotes equality and dignity at work. Working together in an inclusive environment enables us to harness the collective and complementary skills, knowledge, background, and networks of our people. Job ID: 567415WD Location: Dublin Line of Service: Advisory Specialism: Technology Strategy
Oem Engineering Technician Apprentice
First Year Apprentice Vacancy Combilift, winner of the 2020 Generation Apprenticeship Employer of the year award, are recruiting for Apprentices to join their team through the OEM (Original Equipment Manufacturing) Apprenticeship. It focuses on the development of a range of skills such as Engineering Drawing Electrical and Electronic Technology, OEM Practices, Mechatronics, Analytical & Problem solving, and Industrial Robotics that are needed in growing service and manufacturing areas. About us; Combilift is the largest global manufacturer of multi-directional forklifts and an acknowledged leader in long load handling solutions. Innovation, Flexibility and Service is the ethos on which Combilifts’ success is built and has seen us become the world’s fastest-growing forklift manufacturer, exporting to more than 85 countries with more than 70,000 trucks in use worldwide. Tasks/Responsibilities; As an OEM Technician you will: • Cultivate the skills necessary to assemble, install, test, carry out fault diagnostics and commission electrically controlled engine driven (diesel and gas) and battery powered systems • Analyse many Electro Mechanical systems including, electrical wiring, hydraulics, pneumatic and robotics systems to identify and resolve specific faults encountered in OEM products • Possess the expertise to provide support to customers around the use and maintenance of the products they manufacture • Interpret technical data and use calibration and testing instruments for effective product assembly, fault diagnosis and rectification • Responsible for the installation and calibration of sensors for transmitting and controlling devices • Key member of cross functional teams such as research and development, assembly, manufacturing, testing, electrical, customer support, service & installation, product management and marketing/sales What the Apprenticeship involves; • 3-year structured programme comprising of off-the-job training in Cavan Monaghan ETB & on-the-job training applying these learnings in Combilift Year 1-16 weeks off the job training Year 2-16 weeks off the job training Year 3-16 weeks off the job training • During the Apprentice’s on the job phase, throughout the 3 years, the Apprentice will work in different divisions within the production environment • Performance feedback and personal development planning • Experience of working in a fast-paced environment • Guidance and support from experienced engineers and mentors in this field • Fully approved employer for delivery of the OEM Apprenticeship programme Benefits of OEM Apprenticeship; • Learn from experienced engineers and mentors in the field of OEM • Earn while you learn-Apprentices will receive payment for both off and on the job phases • Hands on experience with a leading manufacturing organisation • Exciting career prospects/opportunity for progression • Industry led Apprenticeship developed by a number of leading companies to meet industry needs Personal Skills Required • Good communication skills • Ability to work as part of a team • Ability to work independently • Critical thinker • Problem Solver Entry Requirements; Applicants in the first instance must secure employment with Combilift and must meet the minimum standard under one of the following criteria: 1. Leaving Certificate (pre-2017) with grade D3 or higher in five subjects which must include Mathematics. Post 2017 applicants must have achieved five O6 in the Leaving Certificate which must include Mathematics Please note: If you do not meet the Maths criteria there is an Evening Maths course available to help applicants attain the required grade 2. A full award placed at Level 5 on the National Framework of Qualifications (EQF 4) which includes proficiency in Mathematics 3. Have successfully completed an approved pre-apprenticeship training course in an engineering discipline and demonstrate a proficiency in Mathematics similar to O6 in Leaving Certificate 4. In the case where an applicant is 23 years or over (or employed in the OEM sector for 3 years) and does not meet the educational requirements specified above, they may apply through the Recognised Prior Learning (RPL) process
