30 AI Engineers jobs in Ireland

Purpose of Position: The key functions of this position are to teach a range of School programmes, develop academic programmes and programme-related materials, and carry out research in areas as specified in this advert. The ideal candidate will have a strong background in computing. The current positions are in Cybersecurity, Artificial Intelligence and Artificial Intelligence in Business, FinTech and Cloud Computing. The School of Computing is one of Ireland's largest Schools of Computing with academic programmes at the leading edge of industry requirements within an innovation-intensive environment. Our school faculty is strongly focused on applied research on different aspects of computer science, with current involvement in several EU projects. Additionally, the School has strong industry links, is a part of the Dublin Regional Innovation Consortium, and encourages inventions, patents, and spinouts. Reporting to: Dean of the School of Computing Key Relationships: Dean/Vice-Dean of School of Computing Faculty/Programme Directors Programme Co-ordinators Students Computing Support Tutor Teaching Responsibilities: Actively participate in the School's teaching provisions at undergraduate and postgraduate levels. Supervise and mark student research projects at both undergraduate and postgraduate levels. Attend committees and meetings appropriate to School programmes. Engage in the assessment processes of the College including setting and marking examinations and assignments, attending assessment boards and liaising with external examiners. Programme Development: Assist in the development of existing and new programmes. This may involve drafting submission documents, writing new modules and revising existing ones, liaising with the validating bodies, and promoting, implementing, and reviewing complete programmes. Research & Innovation: Carry out research and innovation activities relevant to College activities, consistently publishing findings in peer-reviewed high-impact journals and reputable international conferences and fostering foreground knowledge activities such as innovation disclosures, patents, software development, etc. Pursue funded research projects, consultancy endeavours, and development work as appropriate. Actively participate in the conception and development of project proposals aligned with the School's research interests to attract external research and innovation funds from external entities such as Enterprise Ireland, European Union, SFI, etc. General: Act as programme director for undergraduate or postgraduate programmes in consultation with the Dean of the School. Contribute to academic and disciplinary committees as requested. Represent the College at exhibitions, open days, recruitment trips, industry engagements, and other external events. Undertake the duties of the role by the requirements of the College Quality Assurance arrangement. Carry out administrative and other duties as deemed necessary by the Dean of the School. Commitment to the mission, vision and values of National College of Ireland. Key Requirements: PhD in Cybersecurity, Artificial Intelligence or Cloud Computing. The candidate should be able to teach the technical/practical areas of the subject area. Teaching experience at the undergraduate or postgraduate level is required. An established track record of research achievement, as evidenced by scientific publications in peer-reviewed journals with impact factors and reputable international conferences, is desirable. Evidence of research funding (for Academic II). Excellent verbal and written communication skills in English. The current positions are in areas such as Cybersecurity, Artificial Intelligence, Machine Learning and Artificial Intelligence in Business, FinTech and Cloud Computing. Salary: The appointment will be to Academic II Salary Band €53,836 - €2,374 or Academic I Salary Band ,271 - ,027 The level of appointment will be commensurate with qualifications; academic experience; research output and funding. The candidates for Academic I and Academic II will be screened against different criteria. Annual Leave: 34 days per annum Contract: Fixed term Contract - 1 to 2 years Hours: Full-time, 35 hours per week NATIONAL COLLEGE OF IRELAND HAS A RESPONSIBILITY TO ENSURE THAT ALL EMPLOYEES ARE ELIGIBLE TO LIVE AND WORK IN THE REPUBLIC OF IRELAND. The successful applicant will be subject to Garda Vetting and must not have any convictions under the Sex Offenders Act 2001. National College of Ireland's mission is to widen participation in higher education and unlock each student's potential. The College offers students the opportunity to acquire the skills and self-confidence to change their lives, contribute to a knowledge based economy and become responsible, active citizens. Application Process: To apply, please e-mail your cover letter and CV, quoting reference number: NCI 1003 to: by 12:00 pm Friday 15nd August. Interviews will be conducted at the end of August. Your CV must include the following: Your Subjects/Grades/Years achieved in your Secondary Education Your Subjects/Grades/Years achieved in your Third Level Education Citizenship/Work Permit status Note: The functions and responsibilities assigned to an Assistant Professor in the School of Computing are based on the current stated role and objectives of the College. These functions and responsibilities may alter in line with any change in the role and objectives of the College. Note on Application Review: As part of our recruitment process, we may use automated tools, including AI-based software, to assist in the initial screening and analysis of CVs. These tools help identify relevant qualifications and experience in line with the job criteria. All final hiring decisions are made by human reviewers. The Importance of Confidentiality We would like to assure you that protecting confidentiality is our number one priority. You can expect that all enquires, applications and all aspects of the proceedings are treated as strictly confidential and are not disclosed to anyone, outside those directly involved in that aspect of the process.

Senior Machine Learning Engineer Location: Galway Salary: € Hybrid Reperio are working with a large fintech company who are seeking a Senior ML Engineer to join their ever-expanding team. The successful candidate will play a crucial role in designing developing and deploying scalable ML models in production environments. You will lead the end-to-end ML lifecycle, from data preparation, model, evaluation, deployment and monitoring. Requirements: 5+ years of experience in ML engineering, data science, or applied machine learning roles Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Solid understanding of computer science fundamentals (algorithms, data structures, software design) Experience with ML Ops tools and cloud platforms (e.g., AWS SageMaker, GCP Vertex AI, MLflow, Docker/Kubernetes) Proven track record of deploying ML models into production Excellent problem-solving, communication, and collaboration skills Nice to Have: Experience with LLMs, deep learning, or NLP systems Familiarity with big data technologies (Spark, Hadoop, etc.) Benefits: Pension Healthcare Bonus Excellent career progression opportunities Flexible hybrid working model with remote options available If this role as a Senior ML Engineer interests and suits you, then apply using the link below. If you require any further information, get in touch with Jamie Sadlier at Reperio. Reperio Human Capital acts as an Employment Agency and an Employment Business. Skills: Senior ML Engineer Python MLOps LLMs Galway Hybrid Benefits: Work From Home

**Company:**
QT Technologies Ireland Limited
**Job Area:**
Engineering Group, Engineering Group > ASICS Engineering
**General Summary:**
**About Qualcomm:** Qualcomm is a leader in wireless innovation, shaping the future of connected devices. Our cutting-edge technologies power billions of products worldwide, and our low-power Machine Learning (ML) solutions set the standard for efficiency and scalability.
**Role Overview:** Join Qualcomm's NPU Architecture team as a Machine Learning Engineer specializing in PyTorch/C++ development. In this role, you will create and optimize critical technologies for our compiler, quantization processes, ML workloads, and performance optimizations. You will also collaborate directly with strategic customers to deliver impactful solutions, shaping the future of energy-efficient ML technology. Your work will empower the world's lowest-power ML solution, deployed in more devices globally than any other.
**Key Responsibilities:**
+ Develop and enhance ML compilers using PyTorch and C++ tailored for Qualcomm's Neural Processing Unit (NPU) architecture.
+ Design and implement advanced quantization techniques to improve model efficiency and accuracy.
+ Optimize ML workloads for deployment across diverse devices, ensuring top-tier performance and energy efficiency.
+ Work directly with strategic customers to address specific challenges and deliver tailored ML solutions.
+ Collaborate with architecture and software engineering teams to integrate cutting-edge ML technologies into Qualcomm platforms.
+ Research, prototype, and implement innovative solutions in ML compiler design and system-level optimizations.
+ Evaluate and debug ML performance to identify and resolve bottlenecks in complex workflows.
+ Create thorough technical documentation to share knowledge and advancements with the team.
**Minimum Qualifications:**
- Bachelor's degree in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience.
OR
Master's degree in Science, Engineering, or related field and 1+ year of ASIC design, verification, validation, integration, or related work experience.
OR
PhD in Science, Engineering, or related field.
**Qualifications:**
+ Bachelor's or advanced degree in Computer Science, Electrical Engineering, Machine Learning, or a related discipline.
+ Strong expertise in PyTorch and C++ programming.
+ Experience with ML workload analysis, compiler development, and quantization techniques.
+ Familiarity with deep learning frameworks such as TensorFlow or ONNX is a plus.
+ Proven track record of solving complex performance and efficiency challenges in hardware-aware ML solutions.
+ Ability to work collaboratively with strategic customers and deliver impactful results.
+ Excellent analytical skills and ability to thrive in a high-performance team environment.
**Preferred Qualifications:**
+ Experience with ML model deployment on hardware accelerators such as GPUs, TPUs, or NPUs.
+ Understanding of system-level architecture and low-level programming.
+ Contributions to ML research or publications in relevant fields are an advantage.
**Why Join Qualcomm?** At Qualcomm, you'll be part of an innovative team that drives impactful advancements in ML technology. As a member of the NPU Architecture team, you'll work directly with strategic customers to create customized solutions while shaping the future of energy-efficient ML. Your contributions will support technology that powers more devices worldwide than any other ML solution.
*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found here ( . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
**To all Staffing and Recruiting Agencies** : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers ( .
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification

Oliver James have partnered with a leading Financial Services client who are seeking an AI Engineer to join their rapidly growing team on an initial 6 month day-rate basis. The role: Design and develop AI/ML models and scalable solutions using LLMs, NLP, and deep learning Fine-tune prompts and models to align with user needs and business goals Integrate AI into enterprise systems and workflows Lead data workflows, deployment, testing, and support for production-ready AI Collaborate across teams on product design, prototyping, and continuous optimisation Contribute to strategy, documentation, and market research. Experience required: 3-5 years of hands-on experience in AI/ML, Python, and frameworks like TensorFlow or PyTorch Strong cloud knowledge (Azure, AWS, or GCP) and experience with Kubernetes, Helm, Docker Experience building ML pipelines, deploying LLMs, and working with large-scale data Solid computer science background in algorithms and software design Excellent communication, problem-solving skills, and business awareness. Details: 6 month rolling contract Hybrid working model (weekly onsite required) Rate - DOE Skills: AI Python Cloud Engineer Benefits: Work From Home

About Us:
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
How We Work:
At Proofpoint, you'll be part of a global team that breaks barriers to redefine cybersecurity, guided by our BRAVE core values: Bold in how we dream and innovate, Responsive to feedback, challenges, and opportunities, Accountable for results and best-in-class outcomes, Visionary in future-focused problem-solving, Exceptional in execution and impact.
**Corporate Overview**
Proofpoint is a leading cybersecurity company protecting organizations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks. Leading organizations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web.
We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That's why we're a leader in next-generation cybersecurity.
**Why this role matters**
You'll help build our core domain-specific LLM system, leading efforts across high-quality data creation, large-scale training, and efficient inference. Your work will help pioneer new AI defences for Proofpoint.
**What** **you'll** **do**
+ **End-to-end LLM pipelines** Design, run and optimize distributed pre-training & fine-tuning workflows.
+ **Curate gold-standard data** Collect, label and validate textual datasets for malicious-intent modelling.
+ **Production integration** Ship models into our privacy-attested platform with reliable, scalable inference.
+ **Rapid experimentation** Prototype & document techniques (distillation, quantization, RL-based tuning), track key ML metrics, and share clear learnings.
+ **Cross-team partnership** Collaborate with infra, data-platform, product and research peers to translate ideas into production use cases.
+ **Mentor & support others** Guide junior engineers and share knowledge across the team through reviews, pairing, and technical leadership.
**What you bring**
_(We know no one checks every box_ _,_ _this is our ideal list.)_
+ **Deep LLM hands-on** : You've tackled pre-training or post-training (fine-tuning/RL) at scale, on either open-source or closed models.
+ **Strong ML fundamentals** : Solid Python + PyTorch/TensorFlow experience, with real-world training and inference examples.
+ **Data-pipeline fluency** : Comfortable using Airflow/Flyte (or equivalent) and cloud storage (e.g. S3, BigQuery).
+ **Production engineering** : Familiar with model CI/CD, versioning, monitoring and performance tuning in cloud environments.
+ **Curiosity** : You stay ahead of LLM trends, propose testable hypotheses, and see experiments through to actionable conclusions.
**Nice-to-haves:** multi-GPU optimization (distillation/quant), cybersecurity-domain AI (phishing/anomaly detection), secure-by-design coding & data-privacy practices.
**How** **we'll** **track progress**
In your first 3-12 months, we'll look for:
**Foundational prototype** - A working proof-of-concept LLM pipeline that ingests our data and demonstrates baseline malicious-intent detection.
**Dataset excellence** - Delivery of a set of rigorously labelled examples and clear documentation of labelling guidelines.
**Experiment library** - A concise playbook of tried-and-tested techniques (what worked, what didn't) with key performance insights.
**Vision milestones** - Regular demos showing steady feature and accuracy improvements toward our "generic malicious-intent LLM" goal.
**Wh** **y** **Proofpoint**
Protecting people is at the heart of our award-winning cybersecurity solutions, and?the people who work here are the key to?our?success? We're a customer-focused and driven-to-win organisation with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add', and we strongly encourage people from all walks of life to apply.
We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! #LifeAtProofpoint.
#LI-Hybrid
Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you'll love working with us:
- Competitive compensation
- Comprehensive benefits
- Learning & Development: We are committed to the growth and development of our team members, offering a range of programs including leadership and professional development workshops, stretch project assignments, and mentoring opportunities to help employees reach their full potential.
- Flexible work environment: (Remote options, hybrid schedules, flexible hours, etc.).
- Annual wellness and community outreach days
- Always on recognition for your contributions
- Global collaboration and networking opportunities
Our Culture:
Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone. We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to . How to Apply Interested? Submit your application here . We can't wait to hear from you!
Proofpoint has been honored with six Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Career Growth, Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams.
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
Our BRAVE Values:
At Proofpoint, we are BRAVE in everything we do, and our values aren't just words-they shape how we work, collaborate, and grow.
We seek people who are bold enough to challenge the status quo, responsive in the face of ever-evolving threats, and accountable for delivering real impact.
We value those with a visionary mindset who anticipate what's next and push cybersecurity forward, and we celebrate exceptional execution that ensures we continue to defend data and protect people.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Find your network, your allies, and your biggest fans. We know that work is simply better when you're surrounded by people who inspire you-who share ideas, cheer you on, and genuinely want to see you succeed. That's why we offer social circles, sponsored networks, and connection points across teams and time zones-to help you find your people, build your community, and thrive together.
This isn't just a job-it's a mission to protect people and defend data in a world that never slows down. We're building the future of human-centric cybersecurity, and that future belongs to all of us. We take ownership, move fast, and hold ourselves accountable-because that's what it takes to stay ahead. And we do it together, winning as one.
Be empowered to reach your full potential through meaningful challenges and personalized support-designed around you and your goals. Whether you're growing as a leader or leveling up from great to exceptional as an individual contributor, we're here to help you get there.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.

GenAI Engineer Contractor (Hybrid, Dublin or Remote) My Client seeking aGenAI Engineer (Contractor) to help design, build, and deploy large-scale artificial intelligence solutions with real-world impact. This role offers the flexibility to work remotely or from a Dublin-based office and is ideal for someone ready to apply their technical expertise within an agile, innovative environment. Key Responsibilities: Design and deploy enterprise-scale GenAI systems using Microsoft AI Services and Databricks. Collaborate with cross-functional teams to deliver AI products and solutions across varied use cases. Work with NLP and LLM technologies, including frameworks like Transformers, SpaCy, PyTorch, TensorFlow, and more. Develop and maintain robust Compound AI systems, leveraging tools like DSPy. Operate in cloud environments such as Azure and AWS, deploying production-grade AI applications. Participate in Agile development cycles, contributing to sprint planning and iterative delivery. What Were Looking For: Experience with Microsoft AI Services and Databricks is essential. Advanced degree (MSc/PhD preferred) or equivalent experience in computer science, engineering, mathematics, or related fields. Proven track record in NLP and LLM-based projects, ideally within the insurance or financial services sectors. Strong programming skills in Python and comfort working with SQL. Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders. A drive for continuous learning and keeping up with the latest AI advancements. If you are interested in the above role you can apply directly or email me on and we can set up a call to discuss. Benefits: Work From Home