C++ Senior Engineer – ML Focus

Galway
1 year ago
Applications closed

Related Jobs

View all jobs

Computer Vision Engineer X 3

Capacity Planning Data Scientist

Data Scientist - UKIC DV Clearance Required

Data Scientist - SC Cleared

Data Science Consultant

Data Scientist - SC Cleared

C++ Senior Engineer – ML Focus

Galway, Ireland | Hybrid | Competitive Salary & Benefits

About the Role:

Compustaff Recruitment is hiring a C++ Senior Engineer to join a cutting-edge Machine Learning Software team in Galway. Work on emerging technology, developing high-performance ML applications for millions of devices worldwide.

Join an open-source, agile, collaborative team where your leadership and expertise will shape technology, development, and team growth.

Responsibilities:

Develop open-source software optimizing ML applications.

Lead product feature development and technical decision-making.

Collaborate with multiple teams and share expertise.

Implement agile development, CI/CD workflows, and optimizations.

Engage with the ML ecosystem to drive innovation.

Requirements:

✔ Degree in Computer Science, Software Engineering, or equivalent.

✔ Strong Linux/Android development experience.

✔ Proficiency in C++ and Python in a production setting.

✔ Experience in an Agile team with CI/CD workflows.

Bonus Skills:

➕ Experience with ML frameworks (TensorFlow, PyTorch, etc.).

➕ Contributions to Open-Source projects.

➕ Experience hiring, mentoring, and leading teams.

Why Join?

✔ Work on next-gen AI & ML technology.

✔ Hybrid & flexible work options.

✔ Competitive salary, great benefits, and career growth.

✔ A collaborative, innovative work environment.

If you're a C++ Senior Engineer passionate about ML, apply now!

Take your career to the next level

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.

Products

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

Jobs

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.