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.

Product Manager

Company: IBM

Location: San Jose, US

Posted Jan 07, 2026

The text describes IBM Software's role in developing secure, innovative cloud-native products with a focus on cryptographic capabilities. It outlines responsibilities related to product strategy, user research, and advancing security technologies like Post Quantum Cryptography. The role emphasizes collaboration with security teams and partners to shape cryptographic features and PKI roadmaps.

Engineering Manager - AI Tasks

Company: Zapier

Location: North America

Posted Jan 06, 2026

Zapier seeks an Engineering Manager to lead AI Tasks, combining AI and human oversight for efficient automation. The role involves guiding teams, ensuring responsible AI use, and fostering innovation through collaborative problem-solving.

Senior Sales Enablement Specialist

Company: Saviynt

Location: UK

Posted Jan 06, 2026

Saviynt's AI-powered identity platform helps organizations manage access and security while seeking a Sales Enablement Specialist. The role involves content management, training support, and operational processes to enhance sales productivity. The company emphasizes growth opportunities, a positive work environment, and equal opportunity employment.

Data Scientist

Company: Capstone Integrated Solutions

Location: USA

Posted Jan 06, 2026

Capstone Integrated Solutions promotes itself as a customer-focused provider offering comprehensive software services and seeks a Data Scientist with expertise in data analysis and predictive modeling. The company emphasizes a culture of learning, growth, and strategic execution while providing remote work benefits and an inclusive environment.

Cyber Security Consultant - Strategy, Risk & Compliance

Company: IBM

Location: Multiple Cities

Posted Jan 07, 2026

The text promotes IBM CIC's career opportunities, highlighting benefits like professional growth, training programs, work-life balance, and a supportive work environment. It emphasizes innovation, collaboration, and career development for candidates in cybersecurity roles.

Development Manager - IBM Storage Software

Company: IBM

Location: Pune, IN

Posted Jan 07, 2026

This job description outlines a leadership role in storage and distributed systems engineering at IBM, requiring expertise in enterprise storage, team management, and technical leadership. Responsibilities include overseeing software development, ensuring system reliability, and collaborating across global teams.

Application Developer-MuleSoft

Company: IBM

Location: Hyderabad, IN

Posted Jan 07, 2026

IBM Consulting offers roles in hybrid cloud and AI development with collaboration opportunities, growth, and technical expertise. Required skills include MuleSoft and RDBMS knowledge.

Associate Package Consultant – SAP HANA Analytics

Company: IBM

Location: BALLARAT, AU

Posted Jan 07, 2026

IBM Consulting seeks SAP Package Consultants to drive enterprise transformations using SAP technologies. The role involves client collaboration, system modernization, and agile methodologies, requiring STEM degrees and SAP expertise.

Bioinformatics Engineer

Company: Loka, Inc

Location: Latin America,North Macedonia,Portugal,Serbia

Posted Jan 06, 2026

Loka highlights achievements in AI and food waste reduction, offering a Bioinformatics Engineer role with AWS recognition, remote work, and unique benefits like every other Friday off.

Onboarding Sales Enablement Specialist

Company: Saviynt

Location: USA

Posted Jan 06, 2026

Saviynt promotes its AI-powered identity platform as a secure and efficient solution for organizations, emphasizing trust, compliance cost reduction, and leadership in identity security. The job posting highlights a dynamic Onboarding Enablement Specialist role with responsibilities spanning curriculum design, content creation, and program improvement, while showcasing the company's positive work environment and growth opportunities.

Senior Frontend Engineer

Company: Hostaway

Location: Europe,Africa

Posted Jan 06, 2026

This job posting highlights a remote Senior Frontend Engineer role at a SaaS scaleup in Europe or Africa, offering competitive pay, remote work flexibility, equity, professional growth opportunities, and a dynamic international team culture. The position emphasizes technical expertise in React/TypeScript and collaboration with cross-functional teams.

Customer Success - Enterprise

Company: ElevenLabs

Location: USA

Posted Jan 06, 2026

ElevenLabs is a leading audio AI company with rapid growth and innovative solutions. They focus on creating accessible audio technologies and offer impactful roles with global opportunities. The job description emphasizes hands-on execution, customer success, and AI-driven outcomes.

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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