18,115 Machine Learning Engineer Jobs (September 2026)

LATAM is seeking a Senior AI Engineer to design, build, and deploy AI solutions using modern Large Language Models (LLMs) and Generative AI. The candidate should have strong software engineering skills and experience in scalable AI applications. Responsibilities include developing AI-powered applications, integrating AI platforms, collaborating with frontend engineers, and mentoring team members. Required qualifications include 10+ years in Software Engineering, expertise in Python, AI application development, and experience in cloud environments. This role requires effective communication, adaptability, and a proactive mindset.

Posted 4 days 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 Bringing medicine to patients is complex, expensive and high-risk. Faculty’s Life Science’s team is concentrated on building AI solutions which optimise the research and commercialisation of life-changing therapies. We partner with major pharma firms, academic research centres and MedTech start-ups to design and deliver solutions which address critical healthcare challenges, and help to democratise health for all. About the role Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI and software projects. You will act as a technical expert, applying your skills across various projects from solution architecture to client-side deployments, while ensuring engineering decisions are sound and reliable. This role demands a balance of deep technical expertise and strong leadership, focusing on driving innovation, fostering team growth, and building reusable solutions across the organisation. If you're ready to manage high-risk projects and deliver practical, innovative outcomes, this is your chance to shape our future. What you'll be doing Setting the technical direction for complex ML and software projects, balancing trade-offs, and guiding team priorities Architecting, implementing, and maintaining reliable, scalable ML/software systems, and justifying key architectural decisions. Defining project problems, developing roadmaps, and overseeing delivery across multiple workstreams in often ill-defined, high-risk environments. Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them. Leading hiring processes, making informed selection decisions, and mentoring multiple individuals to foster team growth. Proactively developing and executing recommendations for adopting new technologies, tools and changing our ways of working to stay ahead of the competition. Acting as a technical expert and coach for customers, accurately estimating large work-streams and defending rationale to stakeholders. Who we're looking for You are a technical expert among your peers, capable of going deep on particular topics and demonstrating breadth of knowledge to solve almost any problem. You possess strong software engineering skills in Python and at least one compiled or strongly-typed language (e.g. Go, Java, Rust, or TypeScript), and know how to build robust, production-grade systems. You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build full-stack web applications. You have hands-on experience with containerisation tools like Docker and orchestration via Kubernetes. You can successfully manage and coach a team of engineers, setting team-wide development goals to improve client delivery. You find novel, clever solutions for project delivery and take ownership for successful project outcomes. You're an excellent communicator who can proactively help customers achieve their goals and guide both technical teams and non-technical stakeholders. Our 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. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.

Posted 1 week ago

May Mobility is looking for a Lead Machine Learning Engineer to enhance its Machine Learning capabilities in the Autonomous Vehicle domain. The role involves designing, training, and evaluating state-of-the-art models, leading small teams, and addressing commercial-scale problems using emerging techniques. Candidates should possess extensive experience in vision language models and generative world models, as well as strong programming skills in Python. A Master's degree in a relevant field is required, and a PhD is desirable. Join a team that is transforming cities through autonomous technology.

Posted 2 weeks ago

Lead Machine Learning Engineer Join the Dealer Tech division within Capital One's Financial Services Technology group, where we develop and support cutting edge technological solutions that streamline the auto financing process for dealers. Our team focuses on creating integrated, secure, and user friendly platforms that enhance dealer operations and customer experiences, ensuring compliance with the latest financial regulations. This pivotal role supports business growth and fosters strong dealer relationships, making every transaction smoother and more efficient. Dealer Tech within Financial Services Technology at Capital One is specifically designed to address the technological needs of auto dealers who partner with Capital One. This division focuses on developing and maintaining systems that facilitate the smooth operation of auto financing, from loan origination to funding. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What You’ll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor’s Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer Plano, TX: $179,400 - $204,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Posted 3 weeks ago

Cisco is seeking a Lead Machine Learning Engineer for a hybrid role based out of either Seattle or San Jose. The position involves working with a diverse team to enhance AI-driven networking by developing sophisticated ML systems. Responsibilities include building scalable data pipelines, improving data labeling processes, and collaborating with domain experts to optimize dataset quality. Ideal candidates will have strong programming experience and a background in machine learning frameworks. The expected salary range is $197,500 to $249,800, influenced by various factors including location and experience.

Posted 3 weeks ago

General Mills is seeking a Lead Machine Learning Engineer to guide the migration of machine learning solutions into production. As a technical lead, you will be responsible for building scalable solutions, managing projects, and optimizing cloud spend. The ideal candidate has over four years of experience in software engineering or data science, a strong background in statistical modeling, and a passion for agile processes. This role allows for remote work within the U.S., with a preference for candidates in Minneapolis.

Posted 4 weeks ago

As a Lead Machine Learning Engineer at Sun Life, you'll design and develop innovative data science solutions that drive business value and enhance client outcomes. You'll work with a passionate team focused on learning and growth while supporting your development. This role emphasizes strategic use of data, collaboration across IT and business groups, and continuous improvement through Agile practices. Ideal candidates possess expertise in machine learning, programming, and data governance, complemented by strong problem-solving skills. Join us to make a meaningful difference in clients' lives.

Posted 4 weeks ago

About Us Founded in the US in 2022 and now based in London, UK, Recraft is an AI tool for professional designers, illustrators, and marketers, setting a new standard for excellence in image generation. We designed a tool that lets creators quickly generate and iterate original images, vector art, illustrations, icons, and 3D graphics with AI. Over 3 million users across 190+ countries have produced hundreds of millions of images using Recraft, and we're just getting started. Join a universe of professional opportunities, develop and support large-scale projects, and shape the future of creativity. We are committed to making Recraft an essential, daily tool for every designer and setting the industry standard. Our mission is to ensure that creators can fully control their creative process with AI, providing them with innovative tools to turn ideas into reality. If you’re passionate about pushing the boundaries of AI, we want you on board! About the Role As a Junior Machine Learning Engineer at Recraft, you will have the opportunity to work on real-world AI applications, gaining hands-on experience in model development, data collection, evaluation, and production deployment. You will collaborate with research scientists, engineers, and product teams to help enhance Recraft’s AI-driven creative tools. If you are passionate about machine learning, deep learning, and AI-driven applications, this is a great opportunity to learn and contribute to impactful projects. Key Responsibilities Assist in training, testing, and evaluating machine learning models for real-world applications. Support data collection and processing for model development. Conduct experiments and model evaluations, helping improve accuracy and efficiency. Develop and train large-scale generative models, pushing the boundaries of AI capabilities. Work closely with ML engineers and researchers to implement AI techniques into production workflows. Stay updated with the latest trends in AI and deep learning, contributing fresh ideas to the team. Qualifications Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, AI, or a related field. Reliable Python coding skills. Knowledge and understanding of foundational deep learning concepts, possibly in application to computer vision, NLP, or speech synthesis or recognition. Experience with data preprocessing and model evaluation. Familiarity with MLOps tools is a plus. Strong analytical skills and ability to work in a collaborative, fast-paced environment. English: B2+ (Upper-Intermediate or above), written and spoken. What We Offer Real ML work from day one — not toy tasks, but production systems that solve actual problems. Close mentorship from engineers and researchers who've built and shipped AI at scale. A front-row seat to how AI products grow: you'll see the full picture, not just your corner of it. A team that debates ideas, moves fast, and genuinely enjoys what it builds. Full-time, on-site in London — because the best breakthroughs still happen in the same room. Skilled Worker visa sponsorship available for the right candidate.

Posted 1 week ago

At My Funded Futures, we’re transforming the world of proprietary trading by giving traders the capital, tools, and community they need to succeed. We blend innovation, transparency, and performance to create opportunity — helping traders scale faster and smarter. If you’re passionate about fintech, financial markets, and data-driven growth, you’ll fit right in. Explore our open roles below and see how you can help us shape the future of funded trading. The Junior ML Engineer will support the Company's data science function by developing, validating, and maintaining machine learning models and the data pipelines behind them. This is a hands-on, applied role: you will work with real data on problems that directly shape the product and the business, and you will be expected to explain what your models do and why they can be trusted. You will partner closely with the Data Science and Analytics team and with stakeholders across the organization, translating business questions into well-defined analytical problems and presenting results in terms decision-makers can act on. This role is ideal for someone early in their career who has already built and shipped machine learning models and who wants broader exposure across modeling, analytics, and data engineering. Key Responsibilities Develop, test, validate, and maintain machine learning models under the guidance of senior team members. Build and maintain data pipelines and analytical datasets on the Company's cloud data platform. Evaluate model performance rigorously and document assumptions, methods, and limitations. Support statistical analysis, forecasting, and experimentation to inform business decisions. Present technical findings clearly to non-technical audiences. Contribute to standards for model documentation, validation, and monitoring. Qualifications Bachelor's degree (or equivalent) in computer science, mathematics, engineering, or a related field, with coursework in machine learning or statistical learning. Graduate degree is a plus. Strong Python and PySpark skills, with the ability to write clean, tested, maintainable code. Hands-on experience with a cloud data platform (Databricks, Snowflake, Fabric, or similar) Strong SQL, including window functions and multi-table joins. Solid understanding of core ML concepts: cross-validation, overfitting, class imbalance, data leakage (including in time-ordered data), and choosing evaluation metrics appropriate to the problem. Hands-on experience with: Gradient-boosted trees (XGBoost, LightGBM) Logistic regression, support vector machines, k-nearest neighbors Clustering methods (k-means and others) Experience with some of the following: survival / time-to-event analysis, experiment design and causal inference, simulation and Monte Carlo methods, probability calibration, Bayesian or hierarchical modeling, model monitoring and drift detection Experience taking a model from development into a scheduled or production environment Docker, CI/CD, and workflow orchestration experience Ability to explain model behavior, including feature importance, calibration, and limitations. Ability to gather and present technical results to a non-technical audience. Proven experience as a machine learning engineer or in a similar role is a plus. Fintech, trading, or financial services background is a plus. EEO Statement Equal Employment Opportunity My Funded Futures is an equal opportunity employer. We believe that diversity drives innovation and success. We are committed to building an inclusive environment where every team member feels valued, respected, and supported—regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic. Pay Transparency In compliance with pay transparency laws, My Funded Futures provides compensation ranges in job postings where required. Final compensation may vary based on experience, qualifications, and location. We also offer comprehensive benefits and performance-based incentives. Accessibility / Accommodation Statement If you require assistance or an accommodation during the application process, please contact our HR team at [email protected]. Work Authorization Applicants must be authorized to work in the applicable country without employer sponsorship. The Company does not offer visa sponsorship or immigration assistance for this position.

Posted 1 week ago

Doctrine is seeking a Junior Machine Learning Engineer to advance its mission of building Europe's leading legal AI platform. This role involves developing NLP models for legal documents, collaborating with cross-functional teams, and contributing to innovative AI solutions. Ideal candidates will possess knowledge of machine learning, strong Python skills, and proficiency in French. The position also offers a flexible remote work policy, internal mobility opportunities, and various benefits aimed at personal and professional growth.

Posted 4 weeks ago

Join MaintainX, a leader in AI-powered maintenance and asset management, as a Senior Applied Machine Learning Engineer. You will guide the architecture of predictive maintenance initiatives and combine ML expertise with software development. Collaborate with product leaders and mentor a team to bring AI solutions to thousands of industrial sites, while working with cutting-edge technologies. Contribute to a mission that enhances the operations of frontline teams across the globe.

Posted 2 weeks ago

Join RTX as a Principal Machine Learning Engineer within the Engineering AI Team. You'll work on integrating AI/ML solutions into various engineering processes, advancing the aerospace industry. This role involves developing AI systems, maintaining models, and optimizing software systems. Ideal candidates will have extensive experience in AI applications and engineering, along with strong programming skills. You'll contribute to meaningful projects that shape the future of flight and defense while collaborating with a global team. The position is based in East Hartford, Connecticut, and offers a hybrid work environment.

Posted today