Machine Learning Jobs

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Machine learning is reshaping industries from autonomous vehicles to personalized medicine. Every quarter, investment in AI startups rises, and Fortune 500s are hiring data scientists to turn vast datasets into actionable insights. This surge translates into a high demand for ML talent, with roles expanding into new verticals and requiring hybrid skill sets that blend software engineering, domain knowledge, and statistical modeling.

Within the ML ecosystem, you’ll find positions such as ML Engineer, responsible for production‑ready pipelines; Data Scientist, focused on exploratory analysis and model prototyping; Research Scientist, pushing the frontier of deep learning; MLOps Engineer, ensuring seamless deployment and monitoring; and AI Ethicist, guiding responsible AI practices. Each role demands tools like TensorFlow, PyTorch, scikit‑learn, SQL, Docker, Kubernetes, and cloud ML services (AWS SageMaker, GCP AI Platform).

Salary transparency matters because it levels the playing field for ML professionals. With clear pay data, you can benchmark your compensation against peers, negotiate offers that reflect your expertise, and spot disparities that may indicate bias. Transparent figures also help you assess the true cost of entry into specialized subfields like reinforcement learning or federated learning, where pay can differ significantly from standard ML engineering.

Lead AWS DevOps Engineer - Defence

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM CIC offers a career in DevOps with opportunities for growth, training, and innovation. The role involves leading projects in defense and security sectors, with a focus on secure cloud solutions and compliance. Benefits include career development, flexible work, and a supportive culture.

Full Stack Software Developer

Company: IBM

Location: Krakow, PL

Posted Dec 04, 2025

IBM is seeking a passionate software developer with experience in JavaScript, React, and Java to join their team in Poland. The role involves designing, coding, testing, and delivering software for one of IBM's successful cloud solutions. The ideal candidate will have 2+ years of experience in Python, Java, and NodeJS, familiarity with AI concepts, microservices, Docker, Kubernetes, and REST APIs, and experience with Agile methodologies and continuous integration/deployment tools.

Contract Administrator

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the collaborative and innovative work environment, focus on hybrid cloud and AI, and the importance of continuous learning. It also outlines the role and responsibilities of a Contract Administrator, including contract management, compliance, and collaboration with stakeholders.

Estágio em Operações de Vendas

Company: IBM

Location: SÃO PAULO, BR

Posted Dec 04, 2025

IBM Technology Sales is evolving to break down barriers with innovative approaches, seeking graduates with deep technical background and interpersonal skills to co-create solutions for complex business challenges. The company offers excellent onboarding, a learning culture, and a collaborative sales environment. The role is an administrative intern supporting the zStack Mainframe ecosystem, requiring strong organizational and communication skills, attention to detail, and proficiency with Office/Google Workspace tools.

エンタープライズのお客様向け・パートナーセールス

Company: IBM

Location: Tokyo, JP

Posted Dec 04, 2025

The job posting is for a Japanese-speaking sales position at IBM Technology Business Unit in Japan. The role involves proposing and delivering IBM's technology products and services to enterprise customers in key growth areas. The position requires collaborating with partner companies to create business value for large customers. The posting highlights the supportive onboarding training and learning culture at IBM, as well as the opportunity for career growth through continuous skill development.

Software Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM Infrastructure division builds servers, storage systems, and cloud software for enterprise customers and data centers. The India Systems Development Lab (ISDL) is part of the global IBM Infrastructure division, focusing on innovations and contributing over 400 patents. As a software engineer at ISDL, you will work on product development, design, development, testing, and support across core systems technologies.

Technical Content Professional

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

IBM Cloud offers a platform for learning and developing skills in the latest cloud technology. The company values curiosity, courageous thinking, and developing its people. As a Technical Content Professional, you will create and curate technical content for digital self-service products, working closely with various teams to ensure high-quality user experiences.

[2026 Internship] Security Consultant - 기술적 취약점 및 리스크 진단/분석

Company: IBM

Location: Seoul, KR

Posted Dec 04, 2025

The text describes an internship program at IBM Consulting, where interns will work with the latest technologies, collaborate with team members, and gain hands-on experience in security consulting. The program offers opportunities for skill development, career growth, and learning about clients' industries and business challenges.

Application Developer-Azure Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting as a Software Developer, focusing on hybrid cloud and AI solutions. The role involves end-to-end feature development, stakeholder collaboration, and continuous learning. Required skills include proficiency in .NET Core, React or Angular, and experience with Azure services.

Java Developer Vilnius

Company: IBM

Location: Vilnius, LT

Posted Dec 04, 2025

This job description outlines a career opportunity at IBM Consulting, where you will work with clients globally to improve hybrid cloud and AI solutions. The role involves working in an agile, project-centric environment, collaborating with stakeholders, and continuously learning new technologies. Required skills include Java/Spring Boot, SQL/NoSQL databases, microservices architecture, cloud-native application development, and containerization with Docker/Kubernetes.

Package Consultant-SAP HANA FIN FI

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the opportunities for collaboration with clients, working with visionaries, and making meaningful change. It emphasizes the importance of curiosity, knowledge, and continuous learning. The role of a senior SAP Consultant is also discussed, focusing on strategic solution focus, comprehensive solution delivery, and required education and technical expertise.

【広島/福岡】ITスペシャリスト(金融領域)

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text is a job description for a Japanese-speaking role at IBM Japan. The role involves working with clients to design and develop application systems, with opportunities for career growth in technical specialties, IT architecture, and project management. The company values curiosity, continuous learning, and creativity in problem-solving.

Frequently Asked Questions

What are typical salary ranges for ML roles at different seniority levels?
Junior ML Engineers earn $90k–$120k annually, mid‑level engineers $120k–$160k, senior engineers $160k–$220k, and lead or principal ML roles can reach $220k–$300k+. In large tech firms, the upper end can exceed $350k when including equity, while early‑stage startups may offer lower base but higher stock options.
What skills and certifications are required for ML positions?
Core expertise includes Python, Jupyter, TensorFlow, PyTorch, scikit‑learn, and SQL. MLOps proficiency with Docker, Kubernetes, and cloud services (AWS SageMaker, GCP AI Platform, Azure ML) is essential for production roles. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, and Google Cloud Professional Machine Learning Engineer can validate knowledge and accelerate hiring.
Are ML jobs available for remote work?
Yes, many ML positions are fully remote or hybrid. Companies like Scale AI, Databricks, and Cohere offer remote‑first policies. Remote work requires high‑speed internet, secure VPN access, and collaboration via tools like JupyterHub, Slack, and Asana, but it also expands the geographic talent pool.
What career progression paths exist in ML?
Typical paths start as ML Engineer or Data Scientist, advance to Senior ML Engineer, Lead Data Scientist, or Research Scientist, then transition into managerial roles such as ML Manager, Director of AI, or VP of Data & AI. Progression hinges on building a strong portfolio, publishing research, mentoring junior teammates, and mastering cross‑functional skills like product strategy and ethics.
What are current industry trends shaping ML careers?
Edge AI and federated learning are driving demand for on‑device models; AutoML platforms reduce time to deployment; responsible AI frameworks (e.g., IBM AI Fairness 360) shape compliance roles; reinforcement learning is expanding into robotics; and interpretability tools like SHAP and LIME are becoming standard in regulated sectors such as finance and healthcare.

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