Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior AI Engineer

Dublin
11 months ago
Applications closed

Related Jobs

View all jobs

Senior AI Data Engineer

Senior AI Agent Engineer (Machine Learning)

Senior AI Data Engineer

Sr. AI Data Engineer (UK Remote)

Sr. AI Data Engineer (UK Remote)

Sr. AI Data Engineer (UK Remote)

Senior AI Engineer

Location: Dublin
Salary: €(phone number removed)

Hybrid

Reperio have partnered with a fast growing tech company in Dublin who are seeking an experienced AI Engineer to join their high-performing AI team. The successful candidate will design, develop, and deploy state-of-the-art AI models and systems models for tasks such as NLP, computer vision, predictive analytics, or other AI applications. You will collaborate with cross-functional teams to integrate AI solutions into real-world applications, driving measurable impact for our products and clients.

Requirements:

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
5+ years of experience as an AI/ML Engineer, Data Scientist or a similar role.
Strong programming skills in Python (or similar) with experience in AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn.
Proficiency in working with cloud platforms (e.g., AWS, Azure, GCP) for AI development and deployment.
Some experience in LLM deployment.
Strong understanding of NLP and GenAI.Nice to have:

Ph.D. in a relevant field or equivalent experience in AI research.
Familiarity with big data tools (e.g., Hadoop, Spark) and database technologies (e.g., SQL, NoSQL).
Knowledge of MLOps practices for model deployment and lifecycle management.Benefits

Pension
Health and life insurance
Lucrative bonus structureIf this role as a Senior AI 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

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.