Hire Machine Learning Engineers
Hire machine learning engineers who can take your initiative from data preparation and model development to deployment, monitoring and retraining. Lucent helps startups, product teams and enterprises build predictive systems, recommendations, NLP, computer vision and production MLOps workflows.
Vetted ML Expertise, End-to-End ML Capability, Flexible Onboarding
Why Hire Machine Learning Engineers from Lucent
Lucent combines ML specialists with the data engineering, cloud and MLOps capability needed to move models beyond experimentation. When you hire ML engineers from us, you gain professionals who can integrate with your team and support the complete path from data preparation to reliable production deployment.
Production ML Experience
Our engineers consider deployment, monitoring, scalability, model drift and retraining from the beginning, not after a model has already been built.
Databricks Partner Expertise
As a Certified Databricks Partner, Lucent supports governed ML workflows across data pipelines, feature engineering, experiment tracking, model management and deployment.
Cross-Functional ML Teams
Access ML engineers, data engineers, MLOps specialists and application developers within one team, reducing handoff gaps between model development and production integration.
12+ Years of Delivery Experience
Lucent brings the delivery discipline developed across 1,250+ projects and 250+ clients to every ML engagement, with defined responsibilities and transparent communication.
Flexible Team Integration
Hire machine learning developers who can work alongside your product, data and engineering teams, following your tools, sprint processes and preferred communication channels.
Clear Ownership and Secure Collaboration
Engagements establish code ownership, access responsibilities, documentation and knowledge-transfer expectations upfront so your team retains control of the solution.
Specialized ML Roles You Can Hire
Hire ML engineers for a specific capability or build a dedicated team across model development, data engineering and MLOps. Each role supports a different stage of taking machine learning from an idea to a dependable production system.
Machine Learning Engineer
Build, evaluate and deploy predictive models for forecasting, recommendations, classification and anomaly detection.
Applied ML Developer
Integrate ML models into products, APIs and business workflows to create reliable, user-facing features.
Deep Learning Engineer
Develop neural networks for complex image, language, audio and time-series applications.
NLP Engineer
Build systems for text classification, entity extraction, summarization, semantic search and conversational AI.
Computer Vision Engineer
Develop image and video models for object detection, classification, segmentation, OCR and visual inspection.
MLOps Engineer
Automate model deployment, versioning, monitoring, drift detection and retraining for production reliability.
Production ML Technology Stack
Our engineers use proven tools across the complete ML lifecycle from data preparation and model training to deployment, monitoring and retraining.
Programming & Data
- Python
- SQL
- NumPy
- Pandas
- Apache Spark
ML & Deep Learning
- Scikit-learn
- XGBoost
- LightGBM
- TensorFlow
- PyTorch
- Keras
Computer Vision
- OpenCV
- Vision frameworks
MLOps & Pipelines
- MLflow
- Kubeflow Pipelines
- TensorFlow Extended
- Databricks Workflows
Deployment & Serving
- Docker
- Kubernetes
- Databricks Model Serving
- TensorFlow Serving
- REST APIs
Cloud & Data Platforms
- Amazon SageMaker AI
- Azure Machine Learning
- Google Vertex AI
- Databricks
- PostgreSQL
- MongoDB
Engagement Models for Hiring Machine Learning Engineers
Hire ML engineers through a model that matches your scope, timeline and preferred level of delivery control. Scale from one specialist to a complete ML team as your requirements evolve.
Dedicated ML Engineer
Best for ongoing product development or a specific capability gap. The engineer works within your processes and is billed against agreed dedicated capacity.
$35–65/hr
Dedicated ML Team
Hire dedicated machine learning developers, data engineers and MLOps specialists as an integrated team. Suitable for larger ML programs requiring broader expertise and flexible scaling.
From $12,000 / Project
Hourly / Flexible Engagement
Use expert hours for audits, model evaluations, technical spikes, optimization or changing requirements. You retain control over priorities and pay for the agreed hours used.
$45–65/hr
Project-Based Delivery
Best for defined outcomes with an agreed scope, milestones and deliverables. Lucent manages execution, technical coordination, deployment and handover through milestone-based billing.
Machine Learning Solutions We Build
Hire ML developers to turn your data and business requirements into production-ready models, integrations and automated workflows your team can operate.
Custom ML Model Development
Classification, clustering and scoring models designed around your data, workflows and measurable business goals.
Predictive Analytics & Forecasting
Forecast demand, revenue, risk, inventory or customer behaviour to support faster, data-led decisions.
Recommendation & Personalization
Deliver relevant products, content and experiences based on user behaviour, preferences and contextual data.
Anomaly & Fraud Detection
Detect unusual transactions, operational failures and emerging risks before they create larger business impact.
NLP Solutions
Classify documents, extract entities, analyse sentiment and improve search across unstructured business text.
Computer Vision & Deep Learning
Build OCR, object detection, image classification, defect inspection and video analytics systems.
Model & API Integration
Connect ML models with existing applications and workflows to enable real-time predictions and intelligent automation.
MLOps, Monitoring & Retraining
Deploy models with versioning, performance monitoring, drift detection and automated retraining pipelines.
How to Hire Machine Learning Engineers From Lucent
A straightforward process to hire dedicated machine learning developers matched to your technical environment and delivery goals.
Share Your Requirements
Tell us your business problem, data environment, required outcome, technology stack and project scope.
Review and Select ML Specialists
We assess whether you need an ML engineer, applied ML developer, NLP engineer, computer vision specialist, deep learning engineer or MLOps engineer, then share relevant profiles for interviews.
Onboard and Start Development
Select your engineer or team, confirm responsibilities and communication workflows, then begin development within your existing delivery process.
AI and ML Case Studies
EuropeAI-Powered Customer Support System for Shopify
Challenge Faced:
A European ecommerce company relied on staff to answer every customer question through email, live chat, and support tickets. As weekly requests grew from 500 to 2,000, response times exceeded 24 hours during peak sales periods.
Solution:
Our team developed a custom AI-powered customer support system integrated with Shopify. The solution uses RAG and Databricks to answer common questions using verified store data, while complex requests are automatically escalated to human agents.
Core Technologies Used
Outcomes Achieved
Security and Compliance
Machine learning projects often involve sensitive data, proprietary models and access to production systems. Our engineers can work within your cloud environment and follow agreed controls for least-privilege access, centralized secret management and separate development, evaluation and production environments. NDA terms, IP ownership and data-handling responsibilities are documented before development begins.
Related Developers You Can Hire
Built for Scale. Designed for Outcomes.
Tell us what you're trying to ship. You'll get matched ML engineer profiles within 48 hours and a 7-day risk-free trial before you commit to anything.
What Our Clients Say
A glimpse into what our clients think of the work we've done together.
“No task was impossible, and they delivered. It was so cool to dream big and have the results become a reality, thanks to their dedication, technical expertise, and seamless execution.”
Treva Stone
Moonglow
“Good developers with experienced knowledge and who are always willing to suggest ways to improve your workflow. Their support and expertise have been invaluable in enhancing our project’s efficiency and overall success.”
Gibson Tang
Mighty Jaxx
“We were impressed with their timelines, accuracy, and understanding of business and technical requirements. Their proactive approach and seamless execution made the entire process smooth and efficient.”
Ujjawal Kothari
Iconic
“I am impressed with their ability to get things done quickly while maintaining high quality. They were responsive, easy to work with, and ensured everything was delivered as promised.”
James Owen
Raintree Nursery
“The team truly goes above and beyond to ensure everything looks and functions exactly how we envisioned. And we’re genuinely happy with the results.”
Jack Bensason
Trestique Beauty
“Lucent Innovation dramatically improved our website speed—the integration of crucial features enhanced user engagement and our e-commerce capabilities.”
Akshay Khatri
Go Noise
“After working with multiple vendors, Lucent was the only team that truly understood and transformed our vision into a world-class product. From confusion to clarity they guided, built, and delivered beyond expectations.”
Glenn Freezman
Digital Speaker Agent
“Nicobar's smooth migration was achieved through Lucent Innovation's structured planning and patient approach. They demonstrated their reliable expertise and minimized potential disruptions.”
Anoop Roy Kundal
Nicobar