51,694 Machine Learning Engineer Jobs (August 2026)

Vulcan Elements is seeking an experienced Data Engineer to design and build data infrastructure for manufacturing American rare-earth permanent magnets. The role involves creating scalable data architectures for a facility with a capacity of 10,000 tons per year. Responsibilities include evaluating platforms, designing data models, and collaborating with cross-functional teams. The candidate should have over 8 years of experience and a strong track record in data engineering and infrastructure. This position offers opportunities for leadership as the company expands.

Posted 2 weeks ago

Location: Krakow, Lesser Poland, Poland Job ID: R0133055 Date Posted: 2026-06-15 Company Name: HITACHI ENERGY SERVICES SP. Z O.O. Profession (Job Category): Engineering Science Job Schedule: Full time Remote: No Job Description: The opportunity We are looking for an Applied Machine Learning Engineer to help design, evolve and test machine learning based applications. This role focuses on building, deploying and monitoring accurate, scalable, secure and reliable machine learning pipelines that will run on enterprise grade systems. Moreover, the key aspect of the work is experimental work for specific customer use cases and development purposes. Customer centric focus is essential. Fast troubleshooting, usability and accuracy are major performance KPI’s for this role. We are looking for the self-motivated team player who wants to learn about all product components and contribute to improvement in all areas. How you'll make a difference Practical implementation of ML models, algorithms and data transformations Code development Ensuring the high quality of the code by application of best practices and dev tools Analyzing business requirements and translating them into technical designs (reading and writing technical documentation); Running data science experiments for specific use cases and general improvements Sales support (demos for customers) Existing clients support (troubleshooting, automation scripts development, example preparation) AI agents development and configuration Writing unit tests CI/CD development and testing processes automation Code containerization Deployment and monitoring of ML pipelines to cloud Contribute to frontend and backend requirements Code reviews Documentation of your work Presentation results for stakeholders Your background Degree in computer science, mathematics, or engineering; a PhD is considered a strong asset Good skills in Data Analytics and transformations (SQL, ETL, scripting, Power BI) Ability to work effectively in a team and contribute to shared goals, with strong attention to detail, accuracy, and a genuine interest in technology, along with a willingness to share knowledge You bring a strong problem-solving mindset and the persistence needed to deliver and document high-quality technical solutions Very good knowledge of Python and data science frameworks (e.g., TensorFlow, Pytorch, Pandas, scikit-learn, Numpy) Hands-on skills in modern AI, including large language models (LLMs) and AI agents Some experience applying numerical methods, stochastic process modeling, Bayesian statistics, Monte Carlo analysis, probabilistic modeling, nonlinear dynamical systems modeling, and statistical filtering Experience with GIT, Azure DevOps Good knowledge of Docker, Kubernetes, and cloud monitoring More About Us At Hitachi Energy, we recognize that our people are at the heart of our success. We are committed to providing a supportive and inclusive workplace, competitive rewards, and opportunities for professional and personal growth. Our benefits package is designed to help employees thrive both at work and in their personal lives. Our benefits offering for this role generally includes: • Private medical care and life insurance​ • Access to fitness and wellness programs​ • Access to benefits platform with discounts and perks​ • Employee Capital Plans (PPK)​ • Equipment for working from home or allowances for setting up a workplace at home​ • Spectacles and contact lenses allowance​ • Company events and team‑building activities​ • Psychological support program​ • Free parking available Add if applicable : additional benefits may apply depending on the role, grade, and business requirements. You will receive more specific information during the recruitment process. Accessibility and reasonable accommodation Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process. This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response. Use of Al and automated tools in recruitment As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as Hitachi's Global Data Privacy Notice. Background Screening and Security Checks As part of the hiring process, Hitachi Energy conducts pre-employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with applicable laws. For certain roles—particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security-sensitive functions—additional or more comprehensive background or security screenings may be required. These may include, but are not limited to, enhanced criminal history checks, credit history reviews (where legally permissible), sanctions screening, or other due diligence measures aligned with the responsibilities of the position. The scope and depth of any background or security review will be determined based on the nature of the role and business necessity, and will always be conducted in compliance with applicable federal, state, and local laws. Candidates will be notified and, where required, asked to provide consent prior to the initiation of any such checks.

Posted 3 weeks ago

At ALS, we encourage you to dream big. When you join us, you’ll be part of a global team harnessing the power of scientific testing and data-driven insights to build a healthier future. About the Position: As a Junior Machine Learning Engineer on the Global AI Team, you will support the design, development, deployment, and maintenance of AI and machine learning solutions. You will work with data scientists, engineers, product teams, and business stakeholders to help transform ideas into scalable AI-enabled products and workflows. This role is well suited for someone who is technically curious, eager to learn, and motivated to apply modern AI techniques, including LLMs, Agentic AI, deep learning, and traditional machine learning models, to real-world business and scientific problems. Specific Responsibilities: Support the development and deployment of machine learning and AI models across ALS business functions. Assist in building AI solutions using Large Language Models (LLMs). Contribute to the design and implementation of Agentic AI systems, including tool-using agents, orchestration workflows, and task automation. Develop, train, test, and evaluate conventional machine learning and deep learning models. Work with structured and unstructured data to support model development, feature engineering, and data preparation. Collaborate with senior AI engineers and data scientists to improve model performance, reliability, scalability, and maintainability. Support cloud-based AI and ML development using platforms such as Azure, Google Cloud Platform (GCP), and AWS, with a preference for Azure and GCP. Assist in building model pipelines, experimentation workflows, and deployment processes. Participate in code reviews, technical documentation, testing, and quality assurance activities. Stay current with emerging trends in machine learning, generative AI, LLMs, deep learning, and cloud AI services. Follow ALS standards for security, privacy, data governance, and responsible AI practices. Required Knowledge, Skills Abilities: Hands-on experience with Google Cloud Platform (GCP). Experience using cloud AI and machine learning services, model hosting, or MLOps tools. Familiarity with vector databases, embeddings, retrieval-augmented generation (RAG), or semantic search. Experience with APIs, microservices, or integrating machine learning models into applications. Knowledge of software engineering practices such as version control, testing, CI/CD, and documentation. Exposure to containerization tools such as Docker. Experience working with enterprise data environments or cross-functional technical teams. Required Qualifications: Degree or diploma in Computer Science, Data Science, Software Engineering, Machine Learning, Artificial Intelligence, or a related technical discipline. Practical experience with machine learning, including model training, evaluation, and deployment concepts. Experience with deep learning frameworks such as PyTorch, TensorFlow, or similar tools. Exposure to Large Language Models (LLMs). Familiarity with Agentic AI concepts, including autonomous agents, tool calling, workflow orchestration, and AI assistants. Programming experience in Python. Familiarity with common machine learning and data science libraries such as scikit-learn, pandas, NumPy, or similar. Experience working with at least one major cloud platform, including Azure, Google Cloud Platform (GCP), or AWS. Ability to work effectively in a collaborative, hybrid team environment. Strong analytical thinking, problem-solving skills, and a willingness to learn. Physical Demands: Ability to sit at a desk and perform general office work for extended periods, with periodic computer/screen use. Our benefits includes: An estimated annual salary of $80,000 - $95,000 CAD at the time of posting. Individual compensation is determined by factors such as job-related skills, relevant experience, education and/or training. Structured wage increases. Comprehensive benefit package specific to your work status (including extended medical, dental, and vision coverage, access to company perks, life and disability insurance, retirement plan with company match, employee assistance and wellness programs). Additional vacation days for years of service. Business support for education or training after 9 months with the company. Learning development opportunities (unlimited access to e-learnings and more). Working at ALS The ALS team is a diverse and dedicated community united by our passion to make a difference in the world. Our values are important to us, and shape how we work, how we treat each other and how we recognise excellence. At ALS, you’ll be supported to develop new skills and reach your full potential. We invest in our people with programs and opportunities that help you build a diverse career with us. We want everyone to have a safe, flexible and rewarding career that makes a positive impact on our people, the planet and our communities. Everyone Matters ALS is proud to be an equal opportunity employer and is committed to fostering an inclusive work environment where the strengths and perspectives of each employee are both recognised and valued. Qualified candidates will be considered without regard to race, colour, religion, national origin, military or veteran status, gender, age, disabilities, sexual orientation, gender identity, pregnancy and pregnancy-related conditions, genetic information and any other characteristics protected by the law. We invite resumes from all interested parties, including women, First Nations, Metis and Inuit persons, members of minority groups, and persons living with disabilities. ALS also welcomes applications from people with all levels of ability. Reasonable adjustments to support candidates throughout the recruitment process are available upon request. Eligibility To be eligible to work at ALS you must be a Citizen or Permanent Resident of the country you are applying for, or either hold or be able to obtain, a valid working visa. How to apply Please apply on-line and provide a resume cover letter that best demonstrate your motivation and ability to meet the requirements of this role.

Posted 2 days ago

Recraft is an AI tool for professional designers, illustrators, and marketers, aiming to set a new standard in image generation. Founded in 2022 in the US and now based in London, UK, Recraft allows creators to generate and iterate images, vector art, and 3D graphics with AI. The Junior Machine Learning Engineer position offers hands-on experience in model development and production deployment, collaborating with research scientists and engineers to enhance AI-driven creative tools.

Posted 2 weeks ago

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here . We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. About the team Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on-site with these customers which may require travel to locations throughout the UK. When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK. About the role As a Principal Machine Learning Engineer at Faculty, you will serve as a technical authority driving innovation, setting architectural direction, and steering our flagship systems. You will solve complex problems that span multiple projects and business units, acting as a trusted expert to both internal teams and external clients. In this high-impact role, you will shape software architectures, ensure systems scale seamlessly within broader frameworks, and leverage your deep expertise to help define company strategy while mentoring and fostering the growth of the engineering team. What you'll be doing: Steering technical direction on flagship machine learning and advanced data science projects across the organisation. Designing scalable, complex systems that integrate smoothly with existing software and enterprise architectures. Defining robust functional and non-functional requirements alongside the software architecture for large-scale platforms. Solving high-level, cross-project technical challenges that span multiple business units and client ecosystems. Providing authoritative, expert advice on major strategic initiatives to guide teams and senior stakeholders. Contributing directly to company strategy by identifying and leveraging emerging technologies and innovative practices. Who we're looking for: You possess deep technical authority in machine learning, statistics, and advanced data science methodologies and have a specific focus on the Defence domain. You have a proven track record of designing large, complex, and scalable systems that fit organisational frameworks. You demonstrate strong architectural leadership, with experience defining both functional and non functional software requirements. You are a respected peer and collaborative problem solver capable of delivering expert guidance across multiple initiatives. You are an experienced technical leader who enjoys the challenge of guiding teams and turning real world problems into architecting system architectures with minimal oversight. You thrive when setting strategic technical direction and influencing high impact engineering projects. You bring an entrepreneurial mindset and a passion for fostering team growth and pushing technological boundaries. The Interview Process Talent Team Screen (30 minutes) Introduction to the role (45 minutes) Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial Leadership Interview (60 minutes) Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family-Friendly Flexibility Flexible working Sanctus Coaching Hybrid Working If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

Posted 2 days ago

Extreme Networks is seeking a Principal Machine Learning Engineer with extensive experience in the software development lifecycle and deep knowledge of machine learning technologies. The successful candidate will lead the development of cutting-edge solutions in data mining and AI, working in a diverse and inclusive environment. This role offers an opportunity to impact global innovation within networking solutions and contribute to significant technological advancements. Ideal candidates will have strong programming skills, preferably in Python or Java, and proven experience in leading and mentoring teams.

Posted 1 week ago

Join a stealth AI startup backed by a leading Southeast Asian technology company, focusing on creating an AI-native communication platform. This role involves building and deploying production-grade machine learning systems and translating research into scalable solutions. You will collaborate with research and application engineering teams to deliver high-performance ML systems that function effectively in real-world production environments.

Posted 1 week ago

HubSpot seeks a Principal Machine Learning Engineer to join its AI Platform Group, focusing on building systems for AI context that enhance customer interactions across its CRM platform. This role involves defining the technical direction for applied ML and AI systems, collaborating with various teams to deliver high-impact projects. Ideal candidates will have a strong background in machine learning and experience in developing solutions that improve customer experience and product strategies.

Posted 1 week ago

Amgen seeks a Principal Machine Learning Engineer to lead the design and deployment of advanced AI/ML systems with a specialization in Reinforcement Learning (RL) and decision intelligence. This role involves driving scalable AI solutions from research to production, collaborating with data scientists and engineers, and mentoring team members. Candidates should have extensive experience in machine learning, software development, and MLOps, as well as strong programming skills in Python. The position is based in Hyderabad, India.

Posted 2 weeks ago

Principal Machine Learning Engineer to serve as a hands-on technical leader for machine learning, predictive modeling, scoring, decisioning, and applied AI initiatives. This role will primarily focus on building, validating, deploying, and improving machine learning models, while also bringing principal-level judgment to problem definition, model design, stakeholder engagement, and production readiness. Hands-On Model Development Build, test, validate, and improve machine learning models for scoring, prediction, prioritization, risk detection, engagement, intervention targeting, and decision support. Perform exploratory data analysis, data quality assessment, feature engineering, model training, model selection, and performance evaluation. Develop practical ML models that balance predictive performance, explainability, stability, maintainability, and business usefulness. Work with structured, semi-structured, and operational data to create model-ready datasets and reusable features. Use tools such as Python, SQL, Spark, Databricks, MLflow, scikit-learn, XGBoost, or similar platforms and libraries. Move quickly from data exploration to prototype to validated model to production-ready capability. Required Qualifications Professional experience in machine learning, data science, software engineering, analytics engineering, applied AI, or related technical fields. 5+ years of hands-on machine learning model development experience, including feature engineering, model training, validation, evaluation, and iteration. 3+ years of experience deploying, operationalizing, or supporting models in production or business-critical environments. Strong hands-on experience with Python and SQL. Experience with modern ML and data platforms such as Databricks, Spark, MLflow, Snowflake, Azure, AWS, or similar technologies. Strong understanding of model evaluation, calibration, thresholding, score interpretation, monitoring, drift, retraining, and production ML lifecycle management. Experience translating ambiguous business problems into concrete ML designs, model requirements, validation plans, and measurable outcomes. Ability to explain model behavior, model performance, assumptions, limitations, and tradeoffs to both technical and non-technical stakeholders. Strong engineering discipline, including clean code, reproducibility, versioning, testing, documentation, and maintainability. Ability to work independently as a senior hands-on contributor while also providing technical leadership and modeling judgment. Scoring, Scorecards, and Transparent Models Production ML and MLOps Product and Rapid-Build Execution Generative AI and AI Automation Requirement Shaping and Stakeholder Partnership

Posted 2 weeks ago

The application window is expected to close on: 08/28/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Meet the Team We are an agile team with a startup feel and a strong bias for action. We move fast, embrace failure as part of the process, and stay focused on solving real-world problems for defenders on the front lines. Our team blends deep expertise in AI, cybersecurity, and platform engineering. We are driven by a shared belief that the only way to outpace hackers is through AI advancements that free up humans to tackle real threats and more challenging problems. This is a place for builders who thrive in ambiguity, challenge the status quo, and care deeply about making a meaningful impact. If you're energized by tough problems, excited to shape the future of cyber defense, and eager to work alongside passionate experts, you'll feel right at home. Your Impact Design and build agentic workflows that combine detection signals, context, and playbooks to automate threat triage and response. Prototype and test new AI features—from enrichment agents to incident summarization—working closely with Security SMEs to validate real-world utility. Develop an AIOps pipeline to enable rapid experimentation with prompts, models, and RAG systems, using clear, measurable success criteria to evaluate iterations. Evaluate model outputs for accuracy, reliability, and usability, then prototype and deploy improvements based on structured feedback and testing. Collaborate with Product and Platform teams to co-design AI-enhanced TDIR workflows that are intuitive, scalable, and immediately useful to analysts. Contribute to the core architecture powering AI-native security operations, helping shape how Splunk and Cisco scale trusted automation across the enterprise. Minimum Qualifications Bachelor's degree with 12+ years of related experience, Master's degree with 7+ years of related experience, or PhD with 5+ years of related experience. Experience designing and building scalable backend services, APIs, and automation solutions using Python. Experience with Security Operations concepts, including threat detection, triage, investigation, and incident response. Experience designing, developing, and integrating AI-powered solutions using Large Language Models (LLMs), including prompt engineering, agentic AI workflows, and AI application development. Experience working with security telemetry (e.g., endpoint, network, authentication, cloud, or similar data sources) and building automation or detection workflows that leverage security data. Preferred Qualifications Experience building and integrating product APIs to automate Security Operations workflows. Experience evaluating AI model performance using structured experimentation, including accuracy, reliability, usability, latency, and cost optimization. Experience designing evaluation frameworks and experiments for LLM-based applications. Experience with SIEM and SOAR platforms, such as Splunk, from a practitioner, engineering, or automation perspective. Experience as a Tier 3 SOC Analyst, Detection Engineer, Security Automation Engineer, or similar Security Operations role. Experience developing Retrieval-Augmented Generation (RAG) applications and working with vector databases such as Pinecone, FAISS, or similar technologies. Experience with LLM fine-tuning, embedding models, or domain-specific AI customization for cybersecurity applications. Experience building scalable security data pipelines for ingesting, parsing, enriching, and normalizing high-volume security telemetry. Passion for designing intuitive AI-assisted analyst experiences with a focus on usability, explainability, trust, and human-centered design. Experience collaborating across Product Management, Engineering, and Security Research to rapidly deliver customer-focused AI capabilities. Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $231,400.00 to $331,800.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $231,400.00 - $381,600.00 Non-Metro New York state Washington state: $222,900.00 - $343,600.00 * For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Posted 3 weeks ago

The Principal Machine Learning Engineer at iHerb will create scalable machine learning systems that impact millions. Collaborating closely with business partners and various technical teams, this role aims to enhance customer experience and automate core processes by integrating machine intelligence. Key responsibilities include developing machine learning infrastructures, participating in code reviews, and researching new technologies while ensuring a strong focus on team collaboration and effective communication. Ideal candidates should have strong coding experience, familiarity with big data technologies, and at least two years of relevant experience in machine learning.

Posted 4 weeks ago