ZipRecruiter

Log In

1

Flexible Machine Learning Jobs (NOW HIRING)

FastTek

Machine Learning Engineer

Dearborn, MI

Machine Learning Engineer #1058742 Position Description: We are seeking an experienced AI Engineer ... We've differentiated ourselves by being fast, flexible, creative and honest . Throw out everything ...

Extend

Manager, Machine Learning

$180K - $210K/yr

Required: * 6+ years of work experience building and deploying machine learning systems into ... Generous, flexible paid time off policy. * 401(k) with Financial Guidance from Morgan Stanley.

Jobs for Humanity

Machine Learning Engineers

San Jose, CA · On-site

$136K - $280K/yr

Tiktok Machine Learning Engineer (Search) - E-commerce - San JoseSan JoseRegularR DJob ID: A162279 ... In addition to Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and ...

Reddit

Machine Learning Engineer

San Francisco, CA · On-site +1

$187K - $260K/yr

Design, build, and deploy industrial-level machine learning models to solve critical problems in ad ... Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave Submit a resume with ...

Handshake

Machine Learning Engineer I

San Francisco, CA · On-site

$151K - $189K/yr

About the Role Handshake is hiring a Machine Learning Engineer I for the Growth Relevance team. AI ... Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses Explore ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... Flexible Work Schedule * Cafeteria Style Benefits * 10% - 401k Matching (Vested Immediately)

MSCI

Machine Learning Researcher

San Francisco, CA

$144K - $187K/yr

Conduct research using machine learning methodologies that integrate financial theory with deep ... Flexible working arrangements, advanced technology, and collaborative workspaces. * A culture of ...

MSCI

Machine Learning Researcher

San Francisco, CA · On-site

$144K - $187K/yr

Conduct research using machine learning methodologies that integrate financial theory with deep ... Flexible working arrangements, advanced technology, and collaborative workspaces. * A culture of ...

MSCI

Machine Learning Researcher

San Francisco, CA

$144K - $187K/yr

MSCI is establishing a Machine Learning Center of Excellence within the Research & Development team ... Flexible working arrangements, advanced technology, and collaborative workspaces. * A culture of ...

Vectara

Machine Learning (ML) Engineer

OR · On-site +1

... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions ... Option of Health Savings Account (HSA) or Flexible Savings Account (FSA). Generous paid time off ...

RADAR

Machine Learning Engineer

Sunnyvale, CA · Hybrid

$195K - $264K/yr

ABOUT THE JOB We are looking for a Machine Learning Engineer to help build and develop our ML ... This is a hybrid role based in our Sunnyvale, CA location with a flexible hybrid work schedule of 2 ...

Vectara

Machine Learning (ML) Engineer

... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions ... Option of Health Savings Account (HSA) or Flexible Savings Account (FSA). Generous paid time off ...

next page

Showing results 1-20

All JobsMachine Learning JobsFlexible Machine Learning Jobs

Flexible Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do flexible machine learning jobs pay per year?

As of Jul 11, 2026, the average yearly pay for flexible machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation tools can handle some tasks, MLEs are essential for creating complex models, interpreting results, and ensuring ethical implementation. AI may automate certain routine aspects, but the role of MLEs remains critical for innovation and system optimization in AI development.

What is the difference between Flexible Machine Learning vs Data Scientist?

AspectFlexible Machine LearningData Scientist
CredentialsTypically requires knowledge of machine learning, programming, and data analysis; certifications like AWS, Google Cloud are commonRequires degrees in statistics, computer science, or related fields; certifications like Certified Data Scientist are beneficial
Work EnvironmentOften in tech companies, startups, or consulting firms; involves building adaptable ML modelsIn various industries including finance, healthcare, and tech; focuses on data analysis and insights
Industry UsageUsed in AI development, automation, and predictive modelingApplied in business analytics, research, and strategic decision-making

Flexible Machine Learning professionals focus on developing adaptable ML models across diverse applications, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but their primary focus and industry usage differ slightly.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-demand industries or at large tech companies can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets or executive-level roles.

Which 3 jobs will survive AI?

Flexible Machine Learning roles such as data scientists, machine learning engineers, and AI specialists are expected to persist as they require complex problem-solving, domain expertise, and ongoing adaptation that AI cannot fully replicate. These jobs often involve designing, implementing, and maintaining AI systems, which demand advanced skills in programming, statistics, and critical thinking. Continuous learning and proficiency with tools like Python, TensorFlow, or cloud platforms are essential for these roles to remain relevant.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such salaries are rare and generally found in large tech companies or specialized AI firms.
More about Flexible Machine Learning jobs
What cities are hiring for Flexible Machine Learning jobs? Cities with the most Flexible Machine Learning job openings:
What are the most commonly searched types of Machine Learning jobs? The most popular types of Machine Learning jobs are:
What states have the most Flexible Machine Learning jobs? States with the most job openings for Flexible Machine Learning jobs include:
What job categories do people searching Flexible Machine Learning jobs look for? The top searched job categories for Flexible Machine Learning jobs are:
Flexible Machine Learning jobs near you
Machine Learning Engineer

Machine Learning Engineer

FastTek

Dearborn, MI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

Machine Learning Engineer #1058742
Position Description:
We are seeking an experienced AI Engineer to design, develop, and deploy intelligent solutions leveraging Machine Learning, Large Language Models (LLMs), and emerging Agentic AI capabilities to transform business processes and improve operational efficiency. This role combines expertise in Data Science, Software Engineering, and MLOps to deliver scalable, production-ready AI systems that generate measurable business value. The ideal candidate will have hands-on experience building and operationalizing AI/ML solutions in enterprise environments, with strong expertise in Generative AI, intelligent automation, and cloud-native architectures.
Key Responsibilities:
  • Design, develop, and deploy machine learning models, including predictive, optimization, and Generative AI solutions
  • Build end-to-end AI workflows including data ingestion, feature engineering, model training, deployment, monitoring, and continuous improvement
  • Develop LLM-based applications such as RAG systems, prompt orchestration, agentic workflows, and tool integrations
  • Create scalable APIs and AI services integrated with enterprise systems
  • Establish and maintain MLOps pipelines including automated training, deployment, monitoring, and retraining
  • Ensure AI solutions are scalable, secure, reliable, and production-ready
  • Collaborate with business and technical stakeholders to translate requirements into AI- driven solutions
  • Monitor model performance and continuously improve based on feedback and metrics
  • Stay current with advancements in AI, Generative AI, Agentic AI, and MLOps

Required Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
  • Strong Python programming experience (backend development, APIs, automation)
  • Experience deploying ML models in production environments
  • Experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch)
  • Hands-on experience with LLMs, prompt engineering, and Generative AI
  • Experience working with cloud platforms (GCP and/or AWS)
  • Strong understanding of SDLC, version control, testing, and deployment practices
  • Excellent analytical, communication, and problem-solving skills
  • Ability to work in fast-paced, agile environments

Primary Skills:
  • Python, Machine Learning, Data Science, GCP, BigQuery

Experience Requirements:
  • Engineer Level 3
  • 6+ years of IT experience
  • 4+ years of development experience
  • Experience with 2 programming languages or advanced proficiency in 1

Preferred Experience:
  • Agentic AI systems, multi-step workflows, autonomous agents, tool-calling architectures
  • Frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, etc.
  • MLOps tools: MLflow, Airflow, Vertex AI, SageMaker, Kubeflow, etc.
  • Docker and Kubernetes
  • Vector databases, embeddings, RAG, semantic search
  • Large-scale enterprise data systems and data lakes
  • AI system optimization (performance, cost, scalability)
  • AI product or analytics platform development

Additional Qualifications:
  • Self-starter with ability to work independently
  • Strong communicator across technical and non-technical teams
  • Collaborative and team-oriented
  • Innovative mindset with strong problem-solving ability
  • Results-driven and focused on production impact

Education:
  • Bachelor's Degree required

Additional Information:
  • Strong experience required in production-grade AI systems, APIs, and cloud-native Deployments

Additional Info:
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra. We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
  • Medical and Dental (FastTek pays majority of the medical program)
  • Vision
  • Personal Time Off (PTO) Program
  • Long Term Disability (100% paid)
  • Life Insurance (100% paid)
  • 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.