Who are we?
Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.
We are looking for a Senior Machine Learning Engineer to design, build, deploy, and scale machine learning and AI solutions that solve real-world business problems. In this role, you will work closely with platform, data, product, and business teams to translate advanced ML, LLM, and agentic AI capabilities into reliable, production-ready systems. You will contribute to internal solutions across areas such as sales, marketing, customer success, and other business domains. This role blends applied machine learning, software engineering, and MLOps, with a strong focus on building robust, scalable systems rather than purely academic research.
Responsibilities
Design, develop, and deploy end-to-end machine learning and AI solutions, including classical ML models, LLM-based applications, and agentic workflows.
Build scalable, production-ready ML systems using strong software engineering and MLOps practices.
Own or contribute to solution architecture, including model deployment, cloud infrastructure, monitoring, CI/CD, and integration with existing platforms.
Develop ML solutions for automation, forecasting, optimization, decision support, and other.
Write high-quality, maintainable, and well-documented code.
Work in cloud environments to deploy, monitor, and improve machine learning/AI applications.
Collaborate with data engineers, product managers, platform teams, and business stakeholders to define requirements and deliver impactful solutions.
Present model outputs, insights, and recommendations through applications, dashboards, reports and stakeholder presentations.
Communicate technical concepts, results, and trade-offs clearly to both technical and non-technical audiences.
Qualifications
Master’s degree in Computer Science, Machine Learning, Data Science, Mathematics, or a closely related technical field.
Proven experience designing, building, and deploying production machine learning or AI solutions.
Hands-on experience with classical ML techniques and LLM-based, generative AI, or agentic AI applications.
Proficiency in Python and common machine learning and data science libraries.
Experience with cloud environments (GCP experience preferred).
Familiarity with Docker, Git, CI/CD, MLOps, model monitoring, and production deployment practices.
Strong problem-solving, communication, and collaboration skills.
The targeted pay range for this position in the following location is / locations are:
Poland - Warsaw Office WAO : 295,000 - 487,000 PLN / Annual
Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.
The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.
Equinix Benefits
As an employee, you become important to Equinix’s success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we’re providing you with the best package possible. So, wherever you are in your career and life, you’ll be able to enhance your experience and bring your whole self to work.
Employee Assistance Program: An Employee Assistance program is available to all employees.

Core Benefits - Pension: You will be enrolled in the employee capital plan or pension, known as PPK, a contributory pension scheme for you and your employer to save funds intended for withdrawal on retirement. Private Medical Insurance: You may enroll yourself and eligible dependents in Private Medical Insurance (PMI) for greater choice, flexibility, and access to specialist care for short-term illness or injury and so on. Life and Accident Insurance: Equinix provides Life and Accident Insurance cover for its employees which you can enroll in. Other Benefits and Perks - Employees have the option to select and use from a wide range of other benefits including: Annual Leaves, Flex Wallet (flexible spending account), Multi-sport Card, Lunch Pass Card, Discount Portal, statutory allowances and reimbursements (remote working, corrective glasses reimbursement), and paid and unpaid leaves in line with local market practices and regulatory requirements. More details on eligibility and rules for leaves are in Equinix's HR policies. Eligibility and contribution requirements apply to some benefits, in line with company policy. Benefits are subject to specific plan/program or insurer terms and conditions, including changes at Equinix's discretion. Equinix will be compliant will regulatory requirements on benefits and leaves.
Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.
Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
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This posting is a new position within our organization.