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.

Senior DevOps Engineer

Company: Little Thinking Minds

Location: Amman

Posted Dec 20, 2025

Little Thinking Minds focuses on making Arabic learning engaging through digital platforms, targeting K12 students. The Senior DevOps Engineer role involves cloud infrastructure, CI/CD pipelines, and security, with a hybrid Amman, Jordan location.

Application Developer-Java & Web Technologies

Company: IBM

Location: Segrate, IT

Posted Dec 20, 2025

This text describes a Software Developer role at IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, career growth opportunities, and technical expertise in areas like Java, Quarkus, and Kubernetes. It highlights the importance of curiosity, problem-solving, and continuous learning in a supportive professional environment.

Consulting Public Sector Digital & Technology Solutions Degree Apprenticeship

Company: IBM

Location: Multiple Cities

Posted Dec 20, 2025

The text promotes IBM Consulting's career opportunities, emphasizing collaboration, innovation, and professional growth. It highlights competitive benefits, technical development, and client-focused roles with clear application guidelines.

GTM Analytics Manager

Company: Lattice

Location: USA

Posted Dec 20, 2025

This job description outlines a GTM Analytics Manager role requiring cross-functional collaboration, data analysis, and strategic insights. Responsibilities include developing metrics, supporting revenue teams, and maintaining GTM tools. Qualifications emphasize quantitative skills, SQL expertise, and SaaS business understanding. The position offers a competitive salary range and comprehensive benefits package.

Talent Acquisition Coordinator

Company: IBM

Location: BANGALORE, IN

Posted Dec 20, 2025

This job description highlights a role in IBM's Talent Acquisition team focused on managing the offer process, collaborating with stakeholders, and ensuring a positive candidate experience. It emphasizes IBM's culture of innovation, career development, and global collaboration while outlining requirements for attention to detail and communication skills.

Director of Sales - DoD

Company: Yubico

Location: USA

Posted Dec 20, 2025

Yubico, a global leader in secure authentication solutions, emphasizes innovation, strong company culture, and employee benefits. They seek a Director of Sales for the DoD to expand their secure login technology adoption.

Application Developer - AWS Cloud Full Stack

Company: IBM

Location: London, GB

Posted Dec 20, 2025

IBM CIC offers career opportunities in hybrid cloud and AI innovation with benefits like training, career growth, work-life balance support, and a diverse team environment. The role requires AWS cloud development expertise and emphasizes collaboration in an Agile setting.

Principal Software Engineer - Azure Solutions

Company: TTEC Digital

Location: USA

Posted Dec 20, 2025

This job posting highlights a Principal Software Engineer role at TTEC Digital, emphasizing client engagement, technical leadership, and competitive compensation. Benefits include healthcare, PTO, and a Great Place To Work certification, with a focus on employee growth and diversity.

Jovem aprendiz (Belém) II

Company: IBM

Location: NO City, BR

Posted Dec 20, 2025

IBM's internship program offers growth opportunities for young professionals, emphasizing learning, inclusion, and career development through hands-on experience and innovation.

Senior Full-Stack Engineer (Node.js + React)

Company: Innovecs

Location: Ukraine,Bulgaria,Croatia

Posted Dec 20, 2025

The job posting highlights a Senior FullStack Engineer role at a growing gifting platform, offering competitive compensation, flexible hours, and a positive work culture. It emphasizes the company's innovative digital solutions and employee benefits, creating an appealing opportunity for passionate developers.

Data Engineer-Business Intelligence - 5658124

Company: IBM

Location: NO City, BR

Posted Dec 20, 2025

The text describes an AI engineering role at IBM Consulting, emphasizing collaboration, innovation, and career growth. It highlights opportunities to develop AI solutions, work with global teams, and contribute to technological advancements through hybrid cloud and AI initiatives.

Java/Middleware Core Developer (JBoss EAP Security)

Company: IBM

Location: Brno, CZ

Posted Dec 20, 2025

IBM Software focuses on innovative AI-powered solutions, emphasizing collaboration, security, and career growth. The role involves developing secure software components and working with diverse teams to drive digital transformation.

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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