Machine Learning Jobs

Positions 425,970 Updated daily

Machine learning is reshaping industries from finance to healthcare. Demand for talent spikes as companies adopt predictive analytics, automated underwriting, and personalized medicine. Data‑driven product teams need engineers who can translate theory into scalable solutions using TensorFlow, PyTorch, or AWS SageMaker.

Within the field you’ll find roles such as ML Engineer, responsible for productionizing models, Data Scientist building prototypes, Research Scientist pushing algorithmic frontiers, ML Ops Engineer focusing on CI/CD pipelines, and AI Product Manager bridging tech and business. Typical duties include feature engineering, model training, hyper‑parameter tuning, model monitoring, and collaborating with data engineers to maintain data pipelines.

Salary transparency is vital for ML professionals because the field’s rapid evolution creates pay disparities across domains. Knowing the market range for a TensorFlow‑based model deployer in New York versus a research scientist in Seattle helps candidates negotiate realistic offers, assess equity and bonus structures, and prevent skill‑based wage gaps.

SailPoint Engineer

Company: Guidehouse

Location: USA

Posted Dec 19, 2025

This job description outlines a Software Development role requiring expertise in SailPoint, IAM, and cloud technologies. It highlights competitive compensation, a comprehensive benefits package, and opportunities for professional growth. The position emphasizes adherence to security standards and collaboration with cross-functional teams.

Content Creator - Learning & Development

Company: WCG International Consultants Ltd.

Location: Canada

Posted Dec 19, 2025

This job description highlights WCG's mission to create sustainable employment opportunities through work, emphasizing their commitment to inclusive workplaces, professional development, and impactful roles. The Content Creator position involves designing engaging learning resources, collaborating with teams, and delivering training materials that align with company values and accessibility standards.

Consultant - AI Engineering

Company: IBM

Location: Multiple Cities

Posted Dec 20, 2025

This job posting highlights an AI engineering role at IBM's acquired Hakkoda, emphasizing innovation, collaboration, and growth opportunities. The position involves developing AI solutions, working with clients, and leveraging cloud technologies. Required skills include expertise in machine learning, programming languages, and cloud platforms. The company promotes a dynamic environment with focus on learning and impactful problem-solving.

Delivery Consultant Manager

Company: IBM

Location: Heredia, CR

Posted Dec 20, 2025

This text promotes an IBM Expert Labs role emphasizing career growth, collaborative innovation, and impactful client solutions. It highlights leadership opportunities, technical expertise, and a supportive culture focused on delivering world-class results through teamwork and continuous improvement.

Clinical Denial Specialist

Company: Guidehouse

Location: USA

Posted Dec 19, 2025

This job posting outlines a Medical Assistant role with responsibilities in claims documentation, patient communication, and compliance. It lists qualifications, preferred skills, and benefits including competitive compensation, healthcare coverage, retirement plans, and professional development opportunities. The employer emphasizes a supportive workplace and equal opportunity policies.

Digital Sales Specialist Industries Market

Company: IBM

Location: Austin, US

Posted Dec 20, 2025

The text promotes IBM's hybrid cloud opportunities and a Digital Sales Specialist role, highlighting career growth, collaborative environments, and impactful client engagement with cloud solutions. It emphasizes training, consultative sales experience, and industry-leading resources for success.

Site Reliability Engineering Professional

Company: IBM

Location: BANGALORE, IN

Posted Dec 20, 2025

The text describes a role in IBM Finance & Operations with responsibilities involving server administration, automation scripting, and technical expertise. It highlights required skills in IBM WebSphere Application Server, JVM tuning, and security protocols, while emphasizing IBM's commitment to career development and innovation.

Chief Operating Officer

Company: Shah & Associates CPAs PA

Location: USA

Posted Dec 19, 2025

The job posting seeks a Chief Operating Officer to drive operational excellence and scale the firm to $4M ARR with a 50% profit margin, emphasizing accountability, systems, and growth.

Accounts Receivable M&A Intern

Company: IBM

Location: Armonk, US

Posted Dec 20, 2025

IBM Finance amp Operations drives efficiency and innovation through collaborative problem-solving, offering career growth in a dynamic environment with opportunities for professional development and impactful contributions to global business strategies.

Engineering Referrals Emerging Talent

Company: Referrals by HubSpotters

Location: Canada,Ireland,UK

Posted Dec 19, 2025

HubSpot seeks Software Engineers to contribute to scalable systems and impactful tools. The role offers growth, collaboration, and a supportive culture with flexible work options.

AR Analyst (Credit Controller) with Czech/Slovak

Company: IBM

Location: Krakow, PL

Posted Dec 20, 2025

This role involves working with global clients on hybrid cloud and AI projects, requiring collaboration across cultures and expertise in O2C processes. Key skills include fluency in Czech/Slovak and English, analytical abilities, and teamwork.

Delivery Consultant - Data Security

Company: IBM

Location: Athens ( Greece ), GR

Posted Dec 20, 2025

The text promotes a career at IBM Technology Expert Labs, emphasizing collaborative innovation, career growth, and impactful problem-solving for clients. It highlights world-class services, strong onboarding, and opportunities to work with industry leaders while advancing technical expertise.

Frequently Asked Questions

What are typical salary ranges by seniority for machine learning roles?
Entry‑level ML Engineer: $90k–$120k; Mid‑level ML Engineer or Data Scientist: $120k–$160k; Senior ML Engineer or Research Scientist: $160k–$220k; Lead ML Engineer or Principal Research Scientist: $200k–$280k; AI Product Manager: $130k–$180k depending on experience and market.
What skills and certifications are most valuable in machine learning today?
Core language: Python; Deep learning frameworks: TensorFlow, PyTorch; Scikit‑learn for classical models; SQL and NoSQL databases for data ingestion; Docker and Kubernetes for deployment; Cloud AI services such as AWS SageMaker, GCP Vertex AI, Azure ML. Certifications: TensorFlow Developer Certificate, AWS Certified Machine Learning – Specialty, GCP Professional Machine Learning Engineer.
How common is remote work for machine learning positions?
Over 70% of ML roles allow full remote or hybrid arrangements. Startups and fintech firms tend to offer 100% remote options, while larger enterprises often provide hybrid models with occasional on‑site data‑center visits. Remote work is especially prevalent for roles focused on model training and research.
What career progression paths exist in machine learning?
Typical paths: ML Engineer → Senior ML Engineer → Lead ML Engineer → ML Manager; Data Scientist → Senior Data Scientist → Lead Data Scientist → Head of Data; Research Scientist → Senior Research Scientist → Principal Scientist → Chief Data Scientist; ML Ops Engineer → Senior ML Ops Engineer → Lead ML Ops Engineer → Director of MLOps. Progression often involves moving from coding to architecture, then to leadership and strategy.
What are the current industry trends shaping machine learning hiring?
Key trends: reinforcement learning for autonomous systems; federated learning for privacy‑preserving models; edge AI for IoT devices; AutoML platforms speeding model deployment; MLOps practices for scalable pipelines; explainable AI and ethics compliance; and increased demand for AI governance roles.

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