Machine Learning Jobs in Remote

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Looking for Machine Learning jobs in Remote? Browse our curated listings with transparent salary information to find the perfect Machine Learning position in the Remote area.

MES Global Deployment Lead

Company: Hitachi Energy

Location: Milan, Italy / Remote

Posted Jan 21, 2025

Hitachi Energy Transformers is recruiting a Digital Transformation Leader for the Manufacturing and Operations portfolio. The role involves managing the shopfloor application landscape, including MES, Machine Connectivity solutions, and Connected Worker applications. The leader will develop the digital blueprint in partnership with key stakeholders, drive the strategic roadmap, and support the deployment of shopfloor-based IT solutions to enhance global factory network quality and efficiency. The ideal candidate should have a Bachelor's degree in IT, 10+ years of experience in IT application development and deployment, preferably with Manufacturing Execution Systems, and 5 years of experience in project management of complex global projects. ITIL 4.0, SAP, and excellent communication skills are required. The role offers opportunities for professional growth in the green energy sector and a multicultural international environment.

External Wholesaler, MMSD Annuity Distribution

Company: MassMutual

Location: Boston, MA / Remote

Posted Jan 21, 2025

MassMutual is expanding its team of external wholesalers to boost sales of its annuity distribution to third-party distributors. The ideal candidate will have 3+ years of annuity wholesale distribution experience, 1+ year in external wholesaling, and proficiency in Word, Excel, PowerPoint, and Salesforce. The role involves building and maintaining relationships with various financial institutions, driving territory production, and promoting diversity of products. The compensation package ranges from $65K-$100K base salary plus a sales-based incentive opportunity, potentially reaching $200K-$400K. The company values ethics, integrity, and offers a supportive work environment with regular meetings, mentorship, and networking opportunities.

Process Leader - Observability

Company: Kyndryl

Location: Bogota, Colombia / Remote

Posted Jan 21, 2025

Application Engineer, FEA / CFD

Company: Ansys

Location: Madrid, Spain / Remote

Posted Jan 21, 2025

Ansys is seeking a skilled engineer to join their Customer Excellence team. The role involves partnering with customers to solve real-world engineering problems, deploy Ansys software, and grow the business. The successful candidate will provide technical pre-sales support, perform professional services, and help translate customer requirements into new product features. Key duties include leading technical activities throughout the sales opportunity lifecycle, interacting with customers to understand their product design and digital transformation initiatives, and collaborating with product development teams. Minimum requirements include a BS/MS/PhD in a relevant engineering field, professional experience in an engineering software environment, and knowledge of Ansys software or other commercial CAE, CAD, EDA, PLM software packages. Preferred qualifications include experience in simulation, analysis, or software applications related to engineering, and fluency in Spanish or French.

Sr. Program Manager, Engineering - Supporting SaaS Security (Remote)

Company: CrowdStrike

Location: Tel Aviv, Israel / Remote

Posted Jan 21, 2025

CrowdStrike, a global leader in cybersecurity, is seeking a Program Manager with 7+ years of experience in software development. The role involves managing large scale/complex engineering projects, collaborating with teams across geo-locations, and driving project deliverables. The ideal candidate should be proficient in Jira, have experience with cloud technologies, and possess excellent communication skills. CrowdStrike offers a remote-friendly culture, competitive benefits, and a commitment to diversity and inclusion.

Lead Coupa & Dynamics 365 Consultant

Company: Kyndryl

Location: Bangalore, India / Remote

Posted Jan 21, 2025

Kyndryl is seeking a highly experienced Coupa/Dynamics 365 Consultant to lead their team. The role involves providing expert-level support, configuring solutions, conducting training, and collaborating with cross-functional teams. Kyndryl values diversity, inclusion, and offers growth opportunities, state-of-the-art resources, and comprehensive benefits.

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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