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.

SAP Consultant (m/f/d)

Company: Kyndryl

Location: Vienna, Austria / Remote

Posted Jan 22, 2025

Kyndryl is seeking a SAP Consultant to drive innovation and transformation in SAP S/4 HANA projects. The role involves planning, implementing, and managing these projects, collaborating with diverse industries, and tailoring solutions to unique customer needs. The ideal candidate should have 3-5 years of SAP consulting experience, understanding of ABAP code, and strong analytical skills. Kyndryl offers a dynamic work environment, opportunities for growth, and a commitment to diversity and inclusion.

Project Manager, Enterprise Implementation

Company: Restaurant365

Location: Remote

Posted Jan 22, 2025

Restaurant365, a SaaS company revolutionizing the restaurant industry, seeks a Project Manager with 5-7 years of experience in software implementation or project management. The role involves managing internal and external resources, delivering service engagements on time and within budget, and partnering with various teams to onboard and grow clients. The ideal candidate will have a consultative mindset, strong organizational skills, and technical proficiency. They will be responsible for project coordination, client engagement, documentation, quality assurance, remote collaboration, continuous improvement, risk management, and escalation handling. The position offers a salary range of $98,000-$122,000, comprehensive benefits, and equity options.

Managing Machine Learning Engineer

Company: Allstate

Location: Remote

Posted Jan 22, 2025

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. Join Allstate Technology Solutions, a pioneering force committed to revolutionizing the way our employees, agencies, and customers interact digitally. The team works in a continuous innovation cycle of ideas, research, testing, analysis, and delivery. As a Managing Machine Learning Engineer (MLE), you relish the challenge of solving business problems using the latest techniques and tools to bring models to life that deliver business value.

Consult Partner

Company: Kyndryl

Location: Canada / Remote

Posted Jan 22, 2025

Senior zOS Systems Programmer

Company: Ensono

Location: Remote

Posted Jan 22, 2025

The Mainframe Systems Programmer role involves providing support for ongoing projects, including installation, testing, and implementation of new operating systems and software. Key responsibilities include maintenance and debugging of systems software, researching and evaluating new products, and assisting team members with technical issues. The role requires a deep understanding of z/OS components and support products, as well as strong analytical and problem-solving skills. The ideal candidate should have a minimum of 10+ years of experience managing a team within a mainframe environment, advanced knowledge of TSO/ISPF, SDSF, JCL, and Unix System Services (USS). Ensono offers competitive benefits including unlimited paid days off, health plans, 401k with company match, and flexible work schedules.

Cloud Specialist

Company: Kyndryl

Location: Medellin, Colombia / Remote

Posted Jan 22, 2025

Kyndryl is a company that designs, builds, manages, and modernizes mission-critical technology systems. They offer various job opportunities for system administrators, including working with clients in different industries and having the chance to share expertise and grow their career. The company values diversity, inclusivity, and employee well-being, offering state-of-the-art resources, benefits, and learning programs.

Channel Sales Executive f/m (Hybrid / Remote)

Company: Ansys

Location: Lyon, France / Remote

Posted Jan 22, 2025

Finance & Strategy Manager, Growth

Company: Robinhood

Location: New York, NY / Remote

Posted Jan 22, 2025

Robinhood Markets, a leading fintech company, is seeking a Finance & Strategy Manager to collaborate with the Growth team. The role involves shaping a robust financial framework, leading strategic initiatives for customer acquisition, retention, and engagement. The ideal candidate should have expertise in financial modeling, strategic thinking, and budgeting/forecasting, with a strong track record of partnering with cross-functional stakeholders. The position demands exceptional interpersonal and communication skills, with regular interaction with senior leadership. The company offers competitive compensation, health insurance, wellness benefits, and a lively office environment.

Senior Enterprise Solution Architect

Company: Collibra

Location: Remote

Posted Jan 22, 2025

Collibra is seeking a Sr. Enterprise Solution Architect to join their Professional Services team. The role involves working with key stakeholders, providing consulting services, and driving customer value through Collibra's services offerings. The ideal candidate has 7+ years of relevant industry experience in Data Governance or Data Management, and knowledge of leading PaaS providers, data governance, and cloud/on-prem software solutions.

Workday Senior Functional Consultant

Company: Kyndryl

Location: Bangalore, India / Remote

Posted Jan 22, 2025

Kyndryl is seeking a Software Engineering - Developer with 8+ years of experience as a Workday Sr Functional Consultant. The role involves designing, developing, and implementing cutting-edge software solutions, with a focus on Workday modules including HR Core, Absence, Recruiting, Learning, Talent & Performance, Compensation, Advanced Compensation, and Custom Reports. The successful candidate will lead the enhancement and support of these modules, conduct requirements gathering sessions, design and configure Workday business processes, and provide post-implementation support and training. They will also collaborate with technical teams for system integrations, conduct fit-gap analysis, and develop and execute test plans. Kyndryl values diversity and offers opportunities for career growth, with potential to advance to roles like Principal Engineer or Vice President of Software.

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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