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

Apply Now

Machine Learning Engineer (Argentina-based)

Wakapi
Lincolnshire
5 days ago
Create job alert

The Role

We are seeking a hands-on, versatile Machine Learning Engineer to help lay the foundation for our journey into integrating machine learning into our software development lifecycle. This is a strategic and technical role, ideal for someone eager to shape ML capabilities from the ground up — from identifying use cases to deploying production-grade models.

Only candidates based in Argentina will be considered for this role.

Responsibilities

  • Collaborate closely with software developers and business stakeholders to identify high-impact machine learning use cases
  • Design, build, and maintain secure and scalable ML models for tasks such as prediction, anomaly detection, recommendation engines, and process automation
  • Solve complex problems using large, multilayered data sets, and optimize ML libraries and frameworks for performance
  • Monitor and evaluate model performance; implement continuous improvement strategies
  • Keep up to date with the latest ML trends and tools, contributing to internal best practices and frameworks
  • Help build a knowledge-sharing culture by supporting upskilling initiatives within the development team

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
  • 2+ years of experience in software development, including at least 1 year working on machine learning projects
  • Strong foundation in mathematics and data modeling
  • Hands-on experience with modern ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
  • Proficiency in Python; familiarity with Java and/or R is a plus
  • Excellent analytical, problem-solving, and communication skills
  • Strong collaborative mindset and passion for innovation and continuous learning

If you’re based in Argentina and passionate about building intelligent, scalable solutions with machine learning, we’d love to hear from you!

Get notified about new Machine Learning Engineer jobs in Greater Mendoza.

Seniority level

  • Entry level

Employment type

  • Full-time

Job function

  • Engineering and Information Technology

Industries

  • Software Development

Referrals increase your chances of interviewing at Wakapi by 2x


#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer – Insurance

Machine Learning Engineer - Computer Vision

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

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.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.

Translucent Careers: Senior Artificial Intelligence Engineer in London

The global landscape of artificial intelligence is evolving rapidly, and nowhere is this transformation felt more strongly than in the financial and accounting industries. AI is no longer just a supporting technology; it is becoming the backbone of innovation, efficiency, and decision-making. One of the most exciting companies at the forefront of this movement is Translucent, a dynamic business redefining how accounting professionals work with AI-driven tools. For professionals seeking to combine technical excellence with meaningful industry impact, Translucent represents a rare career destination. At the heart of their current expansion is an opening for a Senior Artificial Intelligence Engineer in London. This role combines high-level technical leadership, hands-on development, and an opportunity to influence the direction of an emerging force in AI. In this article, we’ll explore: Who Translucent are and why they matter. The significance of AI in financial technology (fintech) and accounting. A deep dive into the Senior AI Engineer role. Skills and requirements needed for success. Career growth and opportunities at Translucent. How artificialintelligencejobs.co.uk helps professionals connect with transformative employers like Translucent.