Hire Machine Learning Developers | Top 5% Vetted Talent

Top 5% of Machine Learning Engineers for Hire

718 ML engineers

in the network across 12+ time zones

$0 recruitment cost

as you pay only rates of ML developers

2-4 weeks

to hire Machine Learning experts
for your needs

hire machine learning developer in computer vision

Oleksii

Machine Learning Developer (Computer Vision)

$55/hour

Kyiv, Ukraine

Availability:

Full-time (remote)

Tech stack: Python, TensorFlow, PyTorch, OpenCV, NumPy, SciPy, Pandas, scikit-learn, YOLOv7, U-Net, SORT, FAISS, FastAPI, Docker, Kubernetes

A machine learning developer with 3 years of experience in computer vision engineering for defense tech. Proficient in object detection using the SORT algorithm, motion tracking, and real-time image processing for UAV applications. Developed map creation models based on drone video analysis with U-Net and YOLOv7 image segmentation.

Implemented image retrieval systems using FAISS. Worked on autonomous UAV navigation, integrating ML models with real-time control systems and eliminating distance estimation problems.

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Availability:

Full-time (remote)

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Alicja

ML/AI R&D Engineer

$58/hour

Warsaw, Poland

Availability:

Part-time (20 hours/week)

Tech stack: Python, PyTorch, TensorFlow, C++, JAX, Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, GPT fine-tuning, CLAP, Diffusion Models, FastAPI, Django REST Framework, AWS

A highly skilled ML/AI engineer with experience in LLM (Large Language Models) and Generative AI research and development. Expertise in GPT fine-tuning and OpenAI integration. Specialized in prompt engineering, local LLM deployments, retrieval-augmented generation, and multimodal AI models.

Experienced in LLM and diffusion model training for custom applications. Can integrate LangChain and LlamaIndex for model reasoning and structured data retrieval. Developed speech-to-text pipelines and real-time speech recognition models.

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Availability:

Part-time (20 hours/week)

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Dimitar

Middle ML/RPA developer

$52/hour

Sofia, Bulgaria

Availability:

Full-time

Tech stack: Blue Prism, Selenium, Power Automate, TensorFlow, OpenCV, Tesseract, Python, NumPy, Pandas, scikit-learn

A machine learning developer with 3.5 years of experience in robotic process automation (RPA). Specialize in Blue Prism automation solutions for enterprise-level business processes. Worked primarily in telecom and finance industries. Proficient in developing bots to automate repetitive workflows with bot scheduling and workload balancing.

Has a strong background in automation scripting and process modeling. Proficient in Blue Prism Control Room management. Also, worked on intelligent document processing using OCR-based automation with OpenCV and Tesseract.

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Availability:

Full-time

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hire machine learning developer in argentina data science

Franco

Senior ML Developer/Data Scientist

$65/hour

Buenos Aires, Argentina

Availability:

Full-time (remote)

Tech stack: Python, PyTorch, TensorFlow, NumPy, AWS, Microsoft Azure, scikit-learn, NLTK, LightGBM, MLflow, MLServer

A machine learning engineer with 5 years of data science experience. Specialize in processing large datasets across structured, unstructured, and time-series data. Experienced in feature engineering, missing data handling, outlier detection, text normalization, and image augmentation.

Proficient in K-Means and DBSCAN clustering algorithms and classification models for predictive analytics and anomaly detection. Skilled in model development using LightGBM, scikit-learn, PyTorch, and TensorFlow. Worked on ML model deployment with MLflow and MLServer. Experienced in natural language processing with NLTK.

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Availability:

Full-time (remote)

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Colin

Strong Junior ML Developer

$60/hour

Dallas, TX, United States

Availability:

Full-time

Tech stack: Python, NumPy, Pandas, OpenCV, TensorFlow, PyTorch, scikit-learn, Matplotlib, NLTK, SpaCy, Transformers, Django, Flask, FastAPI, Git

A machine learning developer with 2 years of commercial experience. Skilled in exploratory data analysis, data preparation, and clustering techniques for pattern recognition and insights extraction. Experienced in visualizing complex datasets using Matplotlib.

Worked extensively with text analysis models, using NLTK, SpaCy, and Transformers for natural language processing tasks. Previously, worked as a software developer for several projects in EdTech and Retail. Familiar with Git for version control.

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Availability:

Full-time

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Explore 715+ ML developers for hire in the DOIT talent network

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Hire Machine Learning Developers in 4 Steps

Share requirements

Get shortlist

Interview the best

Start onboarding

Share requirements

A DOIT hiring team will work with you to understand your technical needs and gather the required skills, experience level, tech stack, and other specifications for your machine learning developer role.

Get shortlist

DOIT will start the search within a talent pool and provide the first pre-vetted machine learning developers in as little as 5 business days. Each engineer will go through a set of technical and soft skill checks before they get to your shortlist.

Interview the best

Choose the ML developer you want to meet, and DOIT will help you schedule interviews and undergo additional testing if needed. You can conduct the final interviews yourself or rely on DOIT recruiters for assistance.

Start onboarding

After you select, DOIT will help you onboard a machine learning developer and cover legal tasks. The team also stays in touch to help with payroll, HR, and administrative management and conduct feedback sessions to ensure ongoing satisfaction with the developer's work.

Why Hire ML Engineers with DOIT Software

Backed by 10 years in tech, DOIT has developed a purpose-driven custom matching process that helped 40+ businesses secure the right skills for their teams. Hire remote machine learning engineers with confidence, backed by DOIT guarantee and ongoing support.

Talent guarantee

DOIT stands for talent quality and provides a free replacement anytime during the collaboration if needed. The hiring team will also facilitate knowledge transfer so your ML project can stay on track.

Tailored support

Get ongoing assistance with payroll, HR, legal, hardware, vacancies, and retention activities for your remote ML hires. Focus on your project while DOIT takes care of admin management.

Location of your choice

Hire machine learning developers in the USA, Europe (Poland, Czechia, Bulgaria, Romania, Ukraine), and Latin America (Mexico, Argentina, Brazil) aligned with your time zone and schedule.

Planning to hire Machine Learning developers?

Share your requirements and receive the first relevant CVs within days.

Find Talent

Hire ML Developers with Advanced Tech Skills

Machine Learning

Deep Learning

AI/ML models

Big Data ML & model deployment

Python

Scala

Pandas

NumPy

scikit-learn

TensorFlow

OpenCV

PyTorch

Keras

GPT

DALL·E

Whisper

Stable Diffusion

CLIP

LLaMA

Spark

Kafka

Ray

Dask

Kubeflow

MLflow

Python

Python is a high-level, general-purpose language that supports procedural, object-oriented, and functional programming. ML engineers use Python for data processing, model development, and deployment, as well as computer vision and NLP applications.

alt Rich ecosystem

alt Scalable

alt Cross-platform

years of usage

51%

of all developers use Python

Hire Python developers

A statistical programming language used in ML for data analysis and visualization. ML engineers with R expertise often work with structured datasets and implement statistical learning techniques.

alt Statistical analysis

alt Data visualization

alt Research-friendly

years of usage

4.3%

of all developers use R

Scala

A scalable programming language commonly used in ML for big data processing. Integrated with Apache Spark, it enables large-scale distributed computations and ML model training on big datasets.

alt Functional programming

alt Big data processing

years of usage

2.6%

of all developers use Scala

Hire Scala developers

Pandas

A data manipulation and analysis library for handling structured data in ML workflows. It provides DataFrames for loading, cleaning, transforming, and analyzing tabular datasets before model training.

alt Efficient data handling

alt Preprocessing

alt Intuitive API

years of usage

20.7%

of developers use Pandas

NumPy

A numerical computing library for array operations and matrix manipulations. Used in ML for performing fast mathematical computations.

alt Fast computations

alt Matrix operations

21.2%

of developers use NumPy

scikit-learn

A machine learning library that provides implementations of classification, regression, clustering, and dimensionality reduction algorithms. ML developers use scikit-learn for model prototyping.

alt Prebuilt models

alt Feature engineering

10.6%

of developers use scikit-learn

TensorFlow

A deep learning framework designed for training and deploying neural networks. It supports computation on GPUs and TPUs. Useful for large-scale ML models in production.

alt Scalable DL

alt High performance

alt Cloud-ready

10.1%

of developers use TensorFlow

OpenCV

A computer vision library with image processing functions such as filtering, edge detection, object tracking, and feature extraction. ML developers use OpenCV for preprocessing image data and building vision-based models.

alt Image processing

alt Feature extraction

alt Vision tasks

8.6%

of developers use OpenCV

PyTorch

A deep learning framework that allows dynamic computation graphs and efficient GPU acceleration. Used in ML research and production for training and fine-tuning complex models.

alt Research-friendly

alt High performance

10.6%

of developers use PyTorch

Keras

A high-level neural network API that simplifies deep learning model development. It provides a modular approach to building and training models with minimal boilerplate code.

alt Simplified DL

alt Prebuilt layers

4.3%

of developers use Keras

GPT

A large language model trained for text generation, summarization, translation, and other NLP tasks. It enables AI-driven conversational agents and document-processing applications.

alt NLP powerhouse

alt Pretrained models

DALL·E

A generative model that creates images from textual descriptions. Used in ML applications for synthetic media generation, creative AI, and content.

alt Creative automation

alt High fidelity

Whisper

A speech recognition model that converts audio into text. ML developers use Whisper for automatic transcription, voice assistants, and audio analytics.

alt Speech-to-text

alt Audio transcription

alt Language modeling

Stable Diffusion

A generative image model based on diffusion processes. Used in ML for high-quality image synthesis, super-resolution, and artistic rendering.

alt Image synthesis

alt High-resolution output

alt Customizable

CLIP

A multimodal ML model that processes text and images to extract relevant features. Used in search engines and recommendation systems.

alt Multimodal AI

alt Vision & text

LLaMA

A lightweight large language model used in ML applications that require on-device language understanding and fine-tuned task-specific models.

alt Lightweight LLM

alt Fine-tuning friendly

Spark

A distributed data processing framework that enables scalable ML model training on large datasets. It provides parallelized data transformations and supports MLlib for machine learning tasks.

alt Big data processing

alt Scalable ML

alt Distributed computing

4.4%

of developers use Apache Spark

Kafka

A real-time event streaming platform that allows ML models to process continuous data streams. ML developers use Apache Kafka for real-time anomaly detection and predictive analytics.

alt Real-time

alt Scalable pipelines

alt Event-driven ML

9.4%

of developers use Apache Kafka

Ray

A distributed computing framework designed to scale ML workloads across multiple processors. ML engineers use Ray for reinforcement learning and distributed training.

alt Parallel ML training

alt GPU-optimized

40k+

GitHub repo downloads

Dask

A parallel computing library that enables large-scale data processing in Python. Used in ML to scale feature extraction and ML model training across multiple cores.

alt Data parallelism

alt Scalable

alt Python-native

years of usage

Kubeflow

An MLOps framework that automates ML pipeline orchestration and model deployment. ML engineers use Kubeflow for scaling models in production environments.

alt MLOps automation

alt Model deployment

years of usage

MLflow

A tool for managing ML experiments, tracking model versions, and automating deployment.

alt Experiment tracking

alt Deployment-ready

14m+

monthly downloads

Hire the Right Machine Learning Developer for Your Project

Machine Learning Engineer

Work with machine learning engineers who develop and deploy ML models in production.

With a strong knowledge of software engineering, ML experts optimize model performance and integrate ML into software systems.

Data Scientist

Partner with data scientists who focus on data-rich solutions, identify trends with statistical modeling, and build predictive analytics.

They work with Python, R, SQL, and visualization tools and use machine learning to extract insights from structured and unstructured data.

Artificial Intelligence Engineer

Hire AI/ML developers to implement AI-driven systems with machine learning, NLP, and computer vision.

They develop intelligent solutions for automation, content creation, decision-making, and user interaction.

Deep Learning Engineer

Partner with deep learning engineers who build neural networks and fine-tune models.

They work with deep learning architectures and ML frameworks to develop computer vision, image/speech recognition, NLP, and generative AI applications.

Computer Vision Engineer

Hire a machine learning developer with a focus on computer vision to develop ML models for image and video processing.

They specialize in convolutional neural networks for autonomous navigation, object detection, image classification, and facial recognition.

Natural Language Processing Engineer

Partner with NLP engineers to train and deploy models for text and speech processing.

They work with transformers, SpaCy, NLTK, and Hugging Face Transformers to build chatbots, speech recognition, language translation, and sentiment analysis solutions.

Big Data Engineer

Hire a machine learning engineer with a big data focus to process large-scale datasets for ML applications.

These developers work with Apache Spark, Kafka, and other big data technologies to handle distributed data pipelines and real-time analytics.

Hire dedicated Machine Learning engineers with the right tech stack

Start with a free consultation, and DOIT will help you find a relevant technical and cultural fit for your team.

Talk to hiring experts

What Can ML Developers Do for Your Business?

Image, video & vision analysis

Recommendation systems

AI-powered virtual assistants

Robotic process automation

Anomaly detection

NLP solutions

Image, video & vision analysis

Use ML-powered computer vision models to extract insights from images and videos. Experienced ML developers help security, healthcare, defense tech, and manufacturing businesses automate quality control and power autonomous systems.

✔ Object detection and recognition
✔ Image classification and segmentation
✔ Face recognition and biometric authentication
✔ Video analysis for motion detection and tracking

Recommendation systems

Hire machine learning developers to create AI-driven recommendation engines that increase engagement and boost conversions. ML specialists help e-commerce and online platforms build intelligent systems that understand user behavior and personalize content.

✔ AI-driven content recommendations
✔ Dynamic pricing & user behavior modeling
✔ Personalized search & ranking algorithms
✔ Context-aware recommendation engines

AI-powered virtual assistants

Machine learning developers build intelligent chatbots and AI-driven virtual assistants. These solutions help businesses in SaaS, retail, finance, customer support, and other industries scale interactions and reduce response times.

✔ AI and ML-powered conversational agents
✔ NLP-based customer support automation
✔ Context-aware and multilingual chatbots

Robotic process automation

Reduce manual labor and minimize errors with robotic process automation expertise. Hire ML developers to build ML-powered automation for finance, healthcare, manufacturing, and logistics.

✔ Automating repetitive business tasks
✔ AI-enhanced robotic automation

Anomaly detection

Hire machine learning developers to detect risks and prevent fraud and security breaches. ML experts build predictive models that monitor systems in real time for risk assessment.

✔ AI models for financial fraud prevention
✔ Cybersecurity threat detection
✔ Real-time anomaly detection in IoT and monitoring systems

NLP solutions

Automate text processing and improve language-based AI applications with ML-driven NLP. Hire machine learning experts in speech recognition, text & image analysis, and automated content generation.

✔ Speech-to-text and text-to-speech models
✔ Machine translation
✔ AI-generated text
✔ Information retrieval and question-answering systems

How DOIT Vets Machine Learning Developers

Technical skills

IT recruiters, in collaboration with DOIT senior developers, assess each ML engineer's expertise through hands-on interviews. DOIT adapts the evaluation process to match your requirements and tests an average of 60+ candidates per role to select only the top 5% to proceed with you.

Time zone alignment

DOIT facilitates at least partial overlap with your working hours, with full EST availability if needed. LATAM machine learning experts bring no time zone issues for the US, while Eastern European engineers sync well with Western Europe.

English proficiency

DOIT helps hire machine learning developers with at least a B2 (Upper-Intermediate) English level. Every remote engineer can work with international teams and seamlessly handle technical communication.

What Do Clients Say About DOIT Software?

Kjell Garatun-Tjeldstø

CEO

Jarbtech Solution Group

DOIT Software's efforts increased the business's throughput, allowing the internal team to focus on other processes. They have strong communication skills and managed to meet project deadlines despite the tight timeline.

Gil Dror

CTO

Human Care Systems

Their knowledge, diligence and proactivity stand out the most. They are highly productive and demonstrate excellent communication, teamwork, and architecture skills. They are very knowledgeable about best practices and design methodologies, so they are often called upon to answer questions.

Larissa Paschyn

Founder

Citizens to the Rescue

Despite my lack of coding experience, they were able to take my requirements into account and turn them into a functional, well-designed application. I was very impressed with their work and it has already received a lot of positive feedback for its ease of use. I appreciated how open and transparent they were in their work.

Dean Dzurilla

Product Manager

Visible Impact

DOIT Software understands that their business is more than just writing code. They go the extra mile to make sure they meet their customers' needs. They are driven by a desire to help their clients succeed at all costs.

Start hiring with vetted ready-to-interview machine learning developers

Request CVs

FAQs About ML Developers

Where can I find machine learning engineers?

You can find ML developers on freelance platforms and job boards or equip verified remote experts from DOIT Software. DOIT has a network of 715+ vetted machine learning engineers from the USA, Canada, Mexico, Argentina, Brazil, Poland, Czechia, Bulgaria, Ukraine, and Romania available for full-time and part-time roles.

How long does it take to hire machine learning developers?

Typically, DOIT recruiters find the first relevant ML developers in widely used technologies in 5 business days and complete hiring within 2-4 weeks. If your tech stack is rare, the DOIT team will work with you to provide a realistic timeline and keep you informed throughout the search process.

What skills should I look for in ML developers?

Look for proficiency in Python, R, Scala, or C++, along with experience in model training and deployment. Developers should be skilled in relevant frameworks and libraries like TensorFlow, PyTorch, scikit-learn, Pandas, or NumPy. Understanding distributed data processing with Spark or Hadoop is a plus for big data applications.

Also, look for relevant tools for your required specialization, such as OpenCV and FastAI for computer vision or Hugging Face Transformers and SpaCy for NLP.

What if I'm not satisfied with a machine learning developer?

DOIT team will work with you to understand the issue and provide a free talent replacement with knowledge transfer facilitation so you can move forward with the right ML developer in the shortest terms.

How do I hire a machine learning engineer with DOIT?

First, share your requirements and talk with the DOIT hiring team. IT recruiters will gather your technical needs and perform the network analysis to find relevant candidates. Within a few weeks, you’ll get from 1 to 5 hand-picked machine learning developers to meet. Next, go through a few interviews with chosen candidates and make your choice.

DOIT will take care of all administrative tasks and provide ongoing support so your ML developer can start in the shortest terms.

What is the hourly rate for an ML developer?

With DOIT, you can hire machine learning developers with the needed level of expertise in the location of your choice to better fit your budget. In the US, ML engineers charge an average of $80 to $150+ per hour, while rates for skilled Eastern European and LATAM talent range from $50 to $70 per hour.

What kind of machine learning developers does DOIT provide?

DOIT provides vetted ML engineers, computer vision developers, data scientists, AI specialists, and deep learning experts for full-time and part-time contract-based roles. Share your requirements, and the hiring team will tailor ML developer searching to fit your role.

Where can I find machine learning engineers?

How do I hire a machine learning engineer with DOIT?

How long does it take to hire machine learning developers?

What is the hourly rate for an ML developer?

What skills should I look for in ML developers?

What kind of machine learning developers does DOIT provide?

What if I'm not satisfied with a machine learning developer?

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