Hire the Top 1.3% of Machine Learning Engineers

From predictive analytics to personalized recommendations, ML engineers deliver tangible business value.
Typescouts pairs you with global talent specific to your needs —fast, affordable, and perfectly matched to your company’s culture.
“Typescouts somehow always finds us the best people for our team.”
Andrea H, COO

Unlock huge savings by hiring a pre-vetted, remote Machine Learning Engineer

Hiring in the us

$105,500

Annually
USA
Hiring with typescouts

$31,000

Annually
70% less
Typescouts

Hire your Machine Learning Engineer for up to 70% less

Talent matched to your exact needs within 4-10 days
Fully vetted and interviewed candidates
Candidates have great English, western culture experience, and work in your timezone
Backed by our 90 Day Happy Hire Guarantee

Hire Machine Learning Engineers

Vetted for

Tech & Soft Skills

Verified for

Remote Performance

Something else

Curated Performance

Cesar R.
Mexico
Hire
Cesar R.
Senior Machine Learning Engineer
I have 8+ years of experience building AI models for fintech and e-commerce. Skilled in Python, TensorFlow, and AWS, I’ve led projects that reduced fraud by 30%. I’m passionate about scaling machine learning pipelines for real-world impact.
Miranda F.
Brazil
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Miranda F.
Machine Learning Specialist
With 6 years in ML, I specialize in NLP and deep learning. My models boosted customer retention by 20% at a SaaS startup. Proficient in PyTorch, SQL, and Azure, I enjoy solving complex problems with data and AI.
Julian M.
Colombia
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Julian M.
Lead AI Engineer
Over the past 4 years, I’ve designed predictive analytics systems for logistics, improving delivery efficiency by 25%. Skilled in Spark, Python, and cloud deployment, I love turning data into actionable insights for businesses.
Bella H.
Philippines
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Bella H.
AI/ML Engineer
I bring 5 years of experience in AI, focusing on computer vision and real-time analytics. At a global retail firm, my work reduced stock wastage by 18%. My tech stack includes OpenCV, Python, and GCP. I thrive on developing scalable AI solutions.
Nova T.
Argentina
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Nova T.
Data Scientist & ML Engineer
With 6+ years of experience, I bridge data science and ML engineering. My work on recommendation systems increased e-commerce sales by 15%. Skilled in SQL, Python, and ML Ops, I excel in deploying robust machine learning models.
Elaine C.
Philippines
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Elaine C.
Senior Machine Learning Engineer
I’ve spent 7 years crafting ML solutions in healthcare and finance, including a disease risk prediction model with 85% accuracy. Proficient in R, Python, and Tableau, I enjoy transforming raw data into impactful innovations.
Let us find you the perfect match.
Start hiring
Vetted for

Tech & Soft Skills

Verified for

Remote Performance

Seamless

Team Integration

“Outstanding service! The team at Typescouts goes above and beyond to find precisely the right talent for your needs.  Highly recommend their services for anyone seeking exceptional talent."
- Maxim T., Business Owner
experience Levels

Choose the right fit for your needs

Junior Level Indicator

Junior Machine Learning Engineer

Ideal for: Startups or businesses looking to experiment with AI/ML solutions or support ongoing projects.
Experience

1 - 2 years

Skillset
  • Experience: 1-2 years, focused on implementing supervised/unsupervised learning models.
  • Skills: Python, basic ML frameworks, and data preprocessing.
  • Results: Build prototypes and solve straightforward business challenges.
  • Mid Level Indicator

    Mid-Level Machine Learning Engineer

    Ideal for: Companies ready to scale their ML operations and integrate models into production.
    Experience

    3 - 5 years

    Skillset
  • Experience: 3-5 years, with a proven track record of end-to-end ML projects.
  • Skills: Advanced ML algorithms, cloud platforms (AWS/GCP), and data engineering.
  • Results: Deploy scalable solutions that improve efficiency and optimize business performance.
  • Senior Level Indicator

    Senior Machine Learning Engineer

    Ideal for: Organizations with complex AI needs or those building a data-driven culture.
    Experience

    5+ years

    Skillset
  • Experience: 6+ years, with expertise in leading teams and solving large-scale ML problems.
  • Skills: Deep learning, NLP, computer vision, and ML Ops for reliable model deployment.
  • Results: Deliver high-impact AI strategies that drive innovation and ROI.
  • Hiring for a Machine Learning Engineer? Explore practical use cases

    Customer Recommendations

    Boost sales by creating personalized product or content suggestions, just like Netflix or Amazon. Machine learning models analyze customer behavior to deliver what they’re most likely to buy or enjoy.

    Fraud Detection

    Protect your business with ML systems that spot unusual patterns in real time, preventing fraudulent transactions or activities before they happen.

    Predictive Analytics

    Forecast trends like sales, inventory needs, or customer demand using data-driven insights. ML makes your business proactive, not reactive.

    Chatbots and Virtual Assistants

    Enhance customer service with AI chatbots that understand queries and provide instant, accurate responses—improving user satisfaction and reducing costs.

    Process Automation

    Streamline repetitive tasks like data entry or document classification. ML-powered systems handle these efficiently, saving time and money.

    Image and Video Analysis

    Automate tasks like quality control in manufacturing or medical imaging in healthcare by teaching AI to recognize patterns and anomalies.
    Our Approach

    Your new Machine Learning Engineer is a week away, all in 3 simple steps

    Uncomplicated and stress-free. Hiring made easy, satisfaction guaranteed.

    1

    Tell us what you need, and we'll begin the search.

    Book a free call with us. Our team will meet with you to get the details on the role you're looking for, and answer any questions you might have.

    2

    We present you with screened, ready-to-hire candidates.

    We'll begin our talent search for your role. We'll interview candidates until we are ready to present a group of hand picked candidates that are well suited for your needs. On average, this takes 4-10 days.

    3

    If you love your pick, we'll help place them on your team.

    We'll present you with handpicked candidates for you to consider, and interview if you'd like. After selecting the ideal pick, you'll pay a one-time flat fee; no hidden charges. Anyone you hire is backed by our 90 Day Happy Hire Guarantee. We're not happy until you are.
    “I've made several hires and the experience is simply amazing. My new staff is now a core part of our team. Will be back for more!”
    - Derek J, founder
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    FAQs

    What does a machine learning (ML) engineer do?

    ML engineers build systems that learn and make predictions from data. They design algorithms, train models, and integrate machine learning solutions into products to solve problems like recommendation systems, fraud detection, or predictive analytics.

    When should I hire a machine learning engineer for my startup?

    If your business relies heavily on data-driven insights, automation, or AI-driven products, hiring an ML engineer early can provide a competitive edge. Startups often bring on ML engineers when scaling operations, launching AI products, or optimizing business processes.

    How much does it cost to hire a machine learning engineer?

    The cost varies widely based on location:

    • USA: $120,000–$160,000/year for mid-level; $160,000–$200,000/year for senior roles.
    • Latin America: $40,000–$70,000/year for mid-level; $70,000–$90,000/year for senior roles.
    • Philippines: $20,000–$35,000/year for mid-level; $35,000–$50,000/year for senior roles.
      Offshore hiring provides access to skilled talent at significantly lower costs without compromising quality.

    What skills should I look for in a machine learning engineer?

    Look for a strong foundation in mathematics, programming expertise (Python, R, or Julia), experience with ML frameworks (TensorFlow, PyTorch), and knowledge of data pipelines and cloud platforms like AWS or GCP.

    How do I evaluate the experience of an ML engineer?

    Examine their portfolio of projects, GitHub repositories, and experience in deploying ML models. Assess their ability to explain complex concepts clearly and their familiarity with business-driven applications of ML.

    What industries benefit the most from hiring ML engineers?

    Industries like e-commerce, healthcare, finance, logistics, and technology see immense value from ML engineers. They help optimize supply chains, enhance customer experiences, and automate decision-making.

    What’s the difference between a data scientist and a machine learning engineer?

    While data scientists focus on analyzing data and deriving insights, ML engineers implement these insights into systems. They work closely to design, build, and maintain machine learning models in production.

    How can hiring remotely improve my chances of finding top ML talent?

    Remote hiring expands your talent pool globally, allowing you to find experienced professionals at more competitive rates. Platforms like Typescouts specialize in matching companies with skilled remote engineers.

    What are the biggest challenges in hiring an ML engineer?

    The top challenges include:

    • Finding candidates with the right mix of technical and business acumen.
    • Assessing their ability to deploy models in production.
    • Attracting and retaining top talent in a competitive market.

    Why should I hire a machine learning engineer through Typescouts?

    Typescouts offers:

    • Speed: Access to pre-vetted ML engineers in days, not weeks.
    • Quality: Only the top 5% of candidates make it through our rigorous screening process.
    • 90-Day Happy Hire Guarantee: If you're not satisfied within the first 90 days, we’ll find a replacement free of charge.

    Ready to work together?

    We'll find you amazing employees for up to 80% less.
    Start Hiring
    Tim Sherstyuk
    Founder