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.

Manager - Account Management

Company: Sanity

Location: UK

Posted Dec 23, 2025

Sanity.io is seeking a Manager Account Management to lead a high-performing team, drive customer growth, and collaborate with cross-functional teams. The role involves strategic account planning, operational rigor, and fostering a culture of excellence. The company emphasizes innovation, customer obsession, and a diverse, inclusive culture with significant funding and growth opportunities.

AI Architect

Company: IBM

Location: New York, US

Posted Dec 23, 2025

The text promotes IBM Consulting as a career opportunity emphasizing innovation, collaboration, and growth. It outlines roles requiring expertise in cloud architecture, data engineering, and AI, while highlighting the company's focus on client impact and professional development.

Enterprise Health Specialist

Company: IBM

Location: MADRID, ES

Posted Dec 23, 2025

The text describes an Enterprise Health Specialist role at IBM, focusing on managing occupational health services, compliance with regulations, and supporting employee wellbeing. It outlines responsibilities like medical evaluations, reimbursement processes, and health promotion programs, while detailing educational and experiential requirements for the position.

Designer-User Experience Design

Company: IBM

Location: BANGALORE, IN

Posted Dec 23, 2025

The role involves working on client projects to drive innovation and collaboration, requiring design expertise and teamwork. It emphasizes professional growth, creative problem-solving, and contributing to market outcomes through guided contributions. The position highlights opportunities for skill development, mentorship, and impactful work across diverse sectors.

Automation QA Developer (Maternity cover)

Company: IBM

Location: Sofia, BG

Posted Dec 23, 2025

This job opportunity involves QA testing, automation, and modernization efforts with collaboration across teams. The role focuses on improving processes, supporting growth, and contributing to long-term product development.

Salesforce

Company: IBM

Location: Multiple Cities

Posted Dec 23, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration, innovation, and growth opportunities. The role involves working with global clients, leveraging IBM technology, and contributing to impactful projects through technical expertise and continuous learning.

Systems Support Apprentice

Company: IBM

Location: Austin, US

Posted Dec 23, 2025

The IBM apprenticeship program offers opportunities to learn, collaborate with mentors, and gain skills for full-time roles, emphasizing growth and problem-solving.

Salesforce Package Consultant

Company: IBM

Location: Tokyo, JP

Posted Dec 23, 2025

This job description outlines a Salesforce consultant role at IBM Japan, focusing on system planning, development, and maintenance for clients. The position emphasizes collaboration with clients to implement Salesforce solutions, leveraging IBM technologies and requiring 3+ years of Salesforce experience. It highlights career growth opportunities, innovation in creating solutions, and the importance of continuous learning within IBM's culture.

Technology Sales Leader - Government

Company: IBM

Location: Gurgaon, IN

Posted Dec 23, 2025

This text describes a Technology Sales Leader role at IBM, emphasizing collaboration, innovation, and career growth opportunities. It highlights responsibilities such as driving technology strategy, client engagement, and sales execution, while showcasing IBM's commitment to digital transformation and making a global impact.

PROCESS INNOVATION PROFESSIONAL-RECORD TO REPORT

Company: IBM

Location: BANGALORE, IN

Posted Dec 23, 2025

This text describes a career role at IBM Consulting emphasizing global collaboration, client relationships, technical expertise, and career growth opportunities. It highlights responsibilities involving financial operations, process improvement, and leadership development within a supportive ecosystem.

Application Developer-ServiceNow

Company: IBM

Location: Gurgaon, IN

Posted Dec 23, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with clients, strategic partnerships, and opportunities for professional growth through technology development and stakeholder engagement.

AWS Cloud Full Stack Developer - Defence

Company: IBM

Location: London, GB

Posted Dec 23, 2025

The text promotes IBM CIC's career opportunities, emphasizing growth, innovation, and a supportive culture with benefits like training programs, flexible work arrangements, and career development. It highlights collaboration on impactful projects and a commitment to diversity and work-life balance.

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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