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Data Scientist Ml Engineer Jobs (NOW HIRING)

Data Scientist / ML Engineer Addepto is a leading AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering ...

We're looking for a Data Scientist / Developer whose work will directly contribute to health ... Proven experience delivering large-scale ML or data systems end-to-end. * Proficiency in Python ...

... data scientists, data engineers, and stakeholders to understand and fulfill their infrastructure needs. Stays updated with the latest technologies and best practices in ML infrastructure ...

Senior Lead Data Scientist California Santa Clara, Chicago, Dallas, Atlanta, NY Full Time We are looking for an experienced Senior Lead Data Scientist / ML Engineer with a strong blend of pre-sales ...

Senior Lead Data Scientist California Santa Clara, Chicago, Dallas, Atlanta, NY Full Time We are looking for an experienced Senior Lead Data Scientist / ML Engineer with a strong blend of pre-sales ...

Senior Lead Data Scientist California Santa Clara, Chicago, Dallas, Atlanta, NY Full Time We are looking for an experienced Senior Lead Data Scientist / ML Engineer with a strong blend of pre-sales ...

Senior Data Scientist - ML

Palo Alto, CA Ā· On-site

$150K - $260K/yr

About the Role As a Data Scientist at Nclusion, you will be responsible for developing and ... Cross-functional Collaboration - Work closely with engineering, product, finance, and compliance ...

Be Seen First

We're seeking an AI/ML Engineer & Data Scientist to build ML solutions, develop scalable data pipelines, and improve information discovery and decision‐making. You'll work with structured and ...

Be Seen First

We're seeking an AI/ML Engineer & Data Scientist to build ML solutions, develop scalable data pipelines, and improve information discovery and decision‐making. You'll work with structured and ...

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Data Scientist Ml Engineer information

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$46K

$165K

$243.5K

How much do data scientist ml engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for data scientist ml engineer in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist/Machine Learning Engineer, and why are they important?

To thrive as a Data Scientist/Machine Learning Engineer, you need strong statistical analysis, programming skills (typically in Python or R), and a solid understanding of machine learning algorithms, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms like AWS or Azure, along with relevant certifications, is highly valuable. Critical thinking, problem-solving abilities, and effective communication help you interpret complex data and collaborate with cross-functional teams. These skills ensure you can build robust models, extract actionable insights, and drive data-driven decisions within organizations.

How do Data Scientist ML Engineers typically collaborate with other teams within an organization?

Data Scientist ML Engineers often work closely with cross-functional teams, including data engineers, product managers, software developers, and business analysts. They collaborate to understand business objectives, gather and preprocess data, develop machine learning models, and integrate solutions into production environments. Effective communication is essential, as they must translate complex technical concepts into actionable insights for stakeholders. This collaborative environment fosters innovation and ensures that machine learning solutions are aligned with organizational goals.

What are Data Scientists and ML Engineers?

Data Scientists and Machine Learning (ML) Engineers are professionals who use data, algorithms, and computational techniques to extract insights and build predictive models. Data Scientists focus on analyzing data, discovering patterns, and generating actionable insights, often using statistical and machine learning methods. ML Engineers, on the other hand, specialize in designing, developing, and deploying machine learning models into production environments, ensuring they are scalable and efficient. Both roles require strong programming skills, knowledge of mathematics and statistics, and familiarity with data processing tools. Together, they help organizations make data-driven decisions and automate processes using advanced analytics.

What is the difference between Data Scientist Ml Engineer vs Data Analyst?

AspectData Scientist ML EngineerData Analyst
Required SkillsProgramming (Python, R), Machine Learning, Data ModelingData Visualization, SQL, Basic Statistics
Work EnvironmentDeveloping ML models, deploying algorithms, coding-intensiveData reporting, dashboard creation, data interpretation
Common Industry UsageTech, Finance, Healthcare, E-commerceRetail, Marketing, Business Services

While Data Scientist ML Engineers focus on building and deploying machine learning models using programming and advanced analytics, Data Analysts primarily interpret data through visualization and reporting to support business decisions. Both roles require strong analytical skills, but ML Engineers have a heavier emphasis on coding and model deployment, whereas Data Analysts focus on data interpretation and communication.

More about Data Scientist Ml Engineer jobs
What cities are hiring for Data Scientist Ml Engineer jobs? Cities with the most Data Scientist Ml Engineer job openings:
What states have the most Data Scientist Ml Engineer jobs? States with the most job openings for Data Scientist Ml Engineer jobs include:

Data Scientist / ML Engineer

Addepto

On-site, Remote

Full-time

Medical, Vision, PTO

This job post hasĀ expired today.Ā Applications are no longer accepted.


Job description

Data Scientist / ML Engineer

Addepto is a leading AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.

The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product – ContextClue – and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.

As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.

As a Data Scientist / ML Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:

  • AI optimization engine for airport operation management. This project involves creating an AI-driven optimization engine to streamline airport operations, using real-time data from sources like radar, air traffic, and passenger information.
  • AI recommendation engine for the leading innovation company. This project involves creation of AWS-powered solutions to provide domain-specific recommendations by employing sophisticated LLMs.

Discover our perks and benefits:

  • Work in a supportive team of passionate enthusiasts of AI & Big Data.
  • Engage with top-tier global enterprises and cutting-edge startups on international projects.
  • Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
  • Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
  • Choose your preferred form of cooperation: B2B or a contract of mandate, and enjoy 20 fully paid days off.
  • Participate in team-building events and utilize the integration budget.
  • Celebrate work anniversaries, birthdays, and milestones.
  • Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
  • Get full work equipment for optimal productivity, including a laptop and other necessary devices.
  • With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
  • Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.

In this position, you will:

  • Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives.
  • Lead the design of AI solution architectures that meet complex business goals and drive innovation.
  • Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements.
  • Understand clients' needs and translate business problems into data science problems.
  • Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security.
  • Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications.
  • Present findings and recommendations clearly and concisely to stakeholders.
  • Prioritize, and control tasks within an Agile/Scrum framework, ensuring timely delivery.

What you'll need to succeed in this role:

  • Proven commercial experience designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, LLM, NLP, Computer Vision, GenAI).
  • Proficiency in developing ML algorithms from scratch to production deployment.
  • Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch / Tensorflow).
  • Proven expertise in deploying solutions in cloud environments (AWS or Azure).
  • Knowledge in applying LLMs (AI agents, semantic search, prompt engineering, multimodal embeddings, RAG).
  • High proficiency in English (C1 level).
  • Excellent communication skills and consulting experience with direct interaction with clients.
  • Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks).
  • Good knowledge of CI / CD principles (GitHub and GitHub Actions).
  • Familiarity with MLOps practices, Kubernetes and Docker.
  • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Physics, or a related field.
  • Experience with Big Data technologies like Spark, Hadoop, and Kafka is a plus.
  • Leadership and mentoring experience is highly desirable.

Addepto provides an environment where I can actively contribute to pioneering projects at the forefront of AI and data innovation, shaping the future landscape of technology. It's not crowded with excessive procedures, which streamlines our workflow and enhances productivity. The team vibe here is super friendly, and we're always bouncing ideas off each other. It's not just a job - it's a place where we're all working together to make cool things happen in data science.

Michał Pocztowski Senior Data Scientist – Addepto

More than work

Remote work possibility

Challenging projects

Autonomy at work

Real impact on the company

Knowledge sharing & trainings

Team-building events

High standard equipment

Medical package

Multisport

MyBenefit Cafeteria

Language classes

Referral program

EyeCare

Paid time off

Check how it is to work in addepto

Discover our values and learn about the experiences of our team members!

Meet us

We are recognized as one of the best AI, BI, and Big Data consultants

We helped multiple companies achieve their goals, but - instead of making hollow marketing claims here - we encourage you to check our Clutch scoring.