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 Developer

Company: IBM

Location: Cheltenham, GB

Posted Dec 05, 2025

The role is a Lead Developer position at IBM Consulting, working in Client Innovation Centers Delivery Centers. It involves leading a team of developers, overseeing software development life cycle, collaborating with cross-functional teams, and leveraging AWS expertise. The company offers regular promotions, feedback, training opportunities, diversity and inclusion, and work-life balance benefits.

Data Engineer-Data Modeling

Company: IBM

Location: Pune, IN

Posted Dec 05, 2025

The role involves working in IBM Consulting Client Innovation Centers, implementing predictive models, designing enterprise search applications, and collaborating in an Agile environment. It requires a Bachelor's degree, 12+ years of experience in data modeling, and proficiency in data modeling tools and database management systems.

Java Back-end Developer – z/OS Integration Services

Company: IBM

Location: BANGALORE, IN

Posted Dec 05, 2025

The job posting is for a skilled Java Backend Developer to build and deliver robust software modules for modern web services hosted on a zOS mainframe environment. The role involves designing, developing, testing, and deploying Java-based backend integration modules, building and managing secure APIs, deploying and maintaining web services within a WebSphere Application Server Liberty profile environment on zOS, developing efficient data access layers to interact with mainframe data sources, implementing strong authentication and authorization controls, and integrating monitoring and tracing capabilities into all services. The ideal candidate should have a strong technical aptitude, 8+ years of IT experience, deep proficiency in Java backend development, extensive experience designing and implementing RESTful web services, familiarity with the zOS operating system, and experience with mainframe data stores and modern DevOps practices.

Back-end Developer

Company: IBM

Location: BUDAPEST, HU

Posted Dec 05, 2025

The text describes a role focused on end-to-end feature development for a cloud platform, requiring experience with TypeScript, Node.js, REST APIs, AI integration, containerization, and Agile methodologies. The role involves collaboration, code reviews, documentation, and mentoring team members.

Security Consultant - SOAR

Company: IBM

Location: Mumbai, IN

Posted Dec 05, 2025

The text describes a career in IBM Consulting, focusing on working with clients globally, improving hybrid cloud and AI, and leveraging IBM's technology platforms. It highlights the importance of curiosity, continuous learning, and collaboration. The role involves security incident investigation, SIEM tool management, threat hunting, and change management.

Associate Application Developer – Adobe Experience – Co-op 2026

Company: IBM

Location: No City, US

Posted Dec 05, 2025

This job posting describes a co-op position at IBM Consulting, focusing on Adobe Experience technologies. The role involves designing, developing, and implementing AEM-based digital experience solutions, as well as working with Adobe Experience Platform. The position emphasizes continuous learning, skill development, and personal growth within a culture of coaching and mentorship.

Oracle Data Architect

Company: IBM

Location: Multiple Cities

Posted Dec 05, 2025

The text describes a career opportunity at IBM Consulting, focusing on leading solution architecture and presales for reporting and analytics solutions on Oracle cloud. It outlines the required education, technical expertise, and responsibilities, emphasizing the use of Oracle's analytics offerings and data warehouse solutions.

Technology Sales Territory Brand Partner Specialist (Campus)

Company: IBM

Location: Taguig City, PH

Posted Dec 05, 2025

The IBM Ecosystem includes thousands of partners who build, sell, or service IBM technologies. As a Brand Partner Specialist Territory, your mission is to connect technical, comarketing, and go-to-market resources with assigned partners to drive prospecting, opportunity identification, and solution co-creation. By aligning territory planning, demand generation, lead passing, and sales execution between IBM Digital Sales and partners, you will grow revenue in your assigned portfolio by increasing partners' sell activities for your territory. Excellent onboarding, an industry-leading learning culture, and ongoing development will set you up for positive impact and success, advancing your career through an upward trajectory in a collaborative and experiential sales environment.

Data Scientist-Artificial Intelligence

Company: IBM

Location: Pune, IN

Posted Dec 05, 2025

The role involves working in IBM Consulting Client Innovation Centers Delivery Centers to deliver technical and industry expertise to clients worldwide. Responsibilities include scaling an existing RAG code base for a production-grade AI application, developing POCs, and collaborating with development teams. Required skills include proficiency in Python, AI frameworks, and cloud platforms like Azure.

Complex Project Manager-SAP HANA

Company: IBM

Location: Mumbai, IN

Posted Dec 05, 2025

IBM Consulting seeks skilled consultants with SAP expertise in project management. The role involves leading teams, managing large-scale strategic projects, and delivering end-to-end implementations. The company values curiosity, continuous learning, and long-term career growth.

Delivery Consultant, DB2 on z/OS

Company: IBM

Location: Multiple Cities

Posted Dec 05, 2025

The text describes the role of a Delivery Consultant at IBM Technology Expert Labs, where they work closely with clients to design, deliver, and optimize IBM technology solutions. The role requires technical expertise in IBM products, problem-solving skills, and the ability to collaborate with clients to address real business challenges. The position offers excellent onboarding, a collaborative culture, and opportunities for career advancement.

Content Designer - Public Sector

Company: IBM

Location: Multiple Cities

Posted Dec 05, 2025

IBM CIC offers a supportive environment with career growth, training, and diverse benefits, emphasizing innovation and inclusivity.

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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