machine learning specialist

Elder Research Inc

<div>Senior Exploitation Specialist (Data Scientist)
General Information
Requisition #691
Locations USA-DC
Posting Date 04/28/2026
Security Clearance Required - TS/SCI + CI Poly
Remote Type N/A
Time Type Full time
Description &amp; Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Senior Exploitation Specialist (Data Scientist) to join our team in the DC Metro Area.
Minimum Qualifications:
<ul><li>10+ years of relevant experience in data science, advanced analytics, machine learning, data visualization, or business analytics. Certifications and technical training may be used to substitute some years of experience.</li>
<li>Strong working knowledge and hands-on experience with Esri solutions such as Esri ArcGIS Pro, ArcGIS Online, and secure enterprise Esri portals such as Safehouse and ICGIS.</li>
<li>Senior-level proficiency in Python and its data science and visualization ecosystem (e.g., Pandas, NumPy, SciPy, Matplotlib, Plotly, Dash, Bokeh,etc.)</li>
<li>Experience supporting Intelligence Community operations.</li>
<li>Demonstrated experience creating highly customized visualizations and analytic applications to meet unique business requirements.</li>
<li>Demonstrated experience automating analytic and business processes using Python.</li>
<li>Experience applying artificial intelligence and machine learning (AI/ML) techniques to structured and unstructured datasets.</li>
<li>Knowledge of and implementation experience with advanced analytic methodologies.</li>
<li>Strong written and verbal communication skills with the ability to explain complex technical concepts in a clear and understandable manner.</li>
</ul>
Clearance Requirements:
<ul><li>Must have an active TS/SCI + CI Poly</li>
</ul>
Physical Requirements:
<ul><li>The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.</li>
</ul>
About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.</div>

Senior Exploitation Specialist (Data Scientist)

Haystack

<div>
 We are working with a pioneering technology firm that is at the forefront of developing cutting-edge AI solutions for real-world applications across various industries. This company is renowned for its innovative approach to machine learning and its commitment to pushing the boundaries of what's possible.
 
 
 The Role
 
 
 <ul>
 <li>
 Develop, train, and optimise advanced computer vision and machine learning systems
 </li>
 <li>
 Deploy machine learning solutions in constrained edge environments
 </li>
 <li>
 Work with a team of experts on innovative AI projects
 </li>
 <li>
 Contribute to the full lifecycle of machine learning model development
 
 
 </li>
 </ul>
 What You'll Need
 
 
 <ul>
 <li>
 Proven experience as a Machine Learning Engineer
 </li>
 <li>
 Expertise in computer vision and machine learning model development
 </li>
 <li>
 Familiarity with deploying models in edge environments
 </li>
 <li>
 Strong problem-solving skills and an analytical mindset
 </li>
 <li>
 Excellent communication and collaboration abilities
 
 
 </li>
 </ul>
 What's On Offer
 
 
 <ul>
 <li>
 Competitive salary based on experience
 </li>
 <li>
 Opportunity to work on groundbreaking AI technology
 </li>
 <li>
 Diverse and inclusive work environment
 </li>
 <li>
 Professional growth and development opportunities
 
 
 </li>
 </ul>
 Apply via Haystack today!
 
 
</div>

Machine Learning Engineer

Alignerr

<div>
 
 About The Role
 
 
 
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Berlin to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 
 
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote (Germany-based)
 </li>
 <li>
 Commitment: Flexible, project-based
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
 </li>
 <li>
 Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
 </li>
 <li>
 Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
 </li>
 <li>
 Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
 </li>
 <li>
 Help set the quality bar for how AI understands and produces machine learning code
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
 </li>
 <li>
 Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
 </li>
 <li>
 Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely in English
 </li>
 <li>
 Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
 </li>
 <li>
 Self-motivated and comfortable working independently in an async environment
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
 </li>
 <li>
 Experience with model evaluation, cloud deployment, or production ML systems
 </li>
 <li>
 Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
 </li>
 <li>
 Background in data labeling, RLHF, or other AI training workflows
 </li>
 <li>
 Prior experience with code review or technical writing
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs and top AI teams
 </li>
 <li>
 Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
 </li>
 <li>
 Freelance autonomy with the structure of meaningful, task-based work
 </li>
 <li>
 Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
 </li>
 <li>
 High-performing contributors take on expanded responsibilities and lead new programs
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Software Engineer – Machine Learning (AI Training)

<div>
 
 About The Role
 
 
 
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in London to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 
 
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule, from wherever you are. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote (UK-based)
 </li>
 <li>
 Commitment: Flexible, project-based
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
 </li>
 <li>
 Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
 </li>
 <li>
 Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
 </li>
 <li>
 Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
 </li>
 <li>
 Help set the quality bar for how AI understands and produces machine learning code
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
 </li>
 <li>
 Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
 </li>
 <li>
 Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely
 </li>
 <li>
 Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
 </li>
 <li>
 Self-motivated and comfortable working independently in an async environment
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
 </li>
 <li>
 Experience with model evaluation, cloud deployment, or production ML systems
 </li>
 <li>
 Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
 </li>
 <li>
 Background in data labeling, RLHF, or other AI training workflows
 </li>
 <li>
 Prior experience with code review or technical writing
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs and top AI teams
 </li>
 <li>
 Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
 </li>
 <li>
 Freelance autonomy with the structure of meaningful, task-based work
 </li>
 <li>
 Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
 </li>
 <li>
 High-performing contributors take on expanded responsibilities and lead new programs
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

<div>
 
 About The Role
 
 
 
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Amsterdam and across the Netherlands to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 
 
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule, from wherever you are. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote (Netherlands)
 </li>
 <li>
 Commitment: Flexible, project-based
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
 </li>
 <li>
 Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
 </li>
 <li>
 Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
 </li>
 <li>
 Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
 </li>
 <li>
 Help set the quality bar for how AI understands and produces machine learning code
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
 </li>
 <li>
 Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
 </li>
 <li>
 Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely
 </li>
 <li>
 Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
 </li>
 <li>
 Self-motivated and comfortable working independently in an async environment
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
 </li>
 <li>
 Experience with model evaluation, cloud deployment, or production ML systems
 </li>
 <li>
 Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
 </li>
 <li>
 Background in data labeling, RLHF, or other AI training workflows
 </li>
 <li>
 Prior experience with code review or technical writing
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs and top AI teams
 </li>
 <li>
 Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
 </li>
 <li>
 Freelance autonomy with the structure of meaningful, task-based work
 </li>
 <li>
 Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
 </li>
 <li>
 High-performing contributors take on expanded responsibilities and lead new programs
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

JPMorganChase

<div>JOB DESCRIPTION 
 
 
The Chief Data &amp; Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.
As an Applied AI ML Senior Associate in Machine Learning Center of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including time series analysis, reinforcement learning, causal inference, and natural language processing. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Machine Learning and Econometrics with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation.
Job responsibilities
<ul><li>Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community</li>
<li>Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as time-series analysis and modelling, constrained optimization and prediction for large systems, prescriptive analytics, and decision-making in dynamical systems</li>
<li>Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production</li>
<li>Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business</li>
</ul>Required qualifications, capabilities, and skills
<ul><li>PhD in a quantitative discipline, e.g. Econometrics, Finance/Accounting, Mathematics, Computer Science, Operations Research</li>
<li>Ability to conduct literature research in unfamiliar fields</li>
<li>Hands-on experience and solid understanding of machine learning and deep learning methods</li>
<li>Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)</li>
<li>Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals</li>
<li>Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.</li>
<li>Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments</li>
<li>Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems</li>
</ul>Preferred qualifications, capabilities, and skills
<ul><li>Strong background in Mathematics and Statistics and familiarity with the financial services industries;</li>
<li>Solid knowledge in financial reports analysis; understand relationships among items in Balance Sheet, Income Statement, and Cashflow statement</li>
<li>Ability to develop and debug production-quality code and solid experience in writing unit tests, integration tests, and regression tests;</li>
<li>Published research in areas of Machine Learning/Deep Learning/Reinforcement Learning OR Finance/Accounting at a major conference or journal</li>
</ul>#MLCOE_jobs
ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</div></div> 
 
ABOUT THE TEAM
 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Applied AI ML Senior Associate - Machine Learning Center of Excellence - Time Series Reinforcement Learning

LANXESS

<div><div><div><div><h4 class="jobSectionHeader">Job Highlights / Aufgaben</h4></div><div> 
<ul><li>
Du entwickelst und implementierst Machine-Learning-Modelle zur Optimierung von chemischen Produktionsprozessen, z. B. f&uuml;r Ausbeute, Qualit&auml;t sowie Rohstoff- und Energieeffizienz</li><li>
Du analysierst Produktions-, Labor- und Prozessdaten und identifizierst datenbasierte Optimierungspotenziale f&uuml;r globale Standorte der Business Unit LAB</li><li>
Du nutzt und bewertest White-Box- und Black-Box-Modelle hinsichtlich Genauigkeit, Robustheit, Interpretierbarkeit und Praxistauglichkeit</li><li>
Du unterst&uuml;tzt den Roll-out digitaler L&ouml;sungen und arbeitest eng mit internationalen, interdisziplin&auml;ren Teams aus Produktion, Engineering und Digitalisierung zusammen</li></ul></div></div><div><div><h4 class="jobSectionHeader">
Erfahrung / Skills</h4></div><div> 
<ul><li>
Abgeschlossenes Studium in Data Science, KI, Machine Learning oder Informatik</li><li>
Erfahrung mit Machine Learning, statistischer Datenanalyse und der Entwicklung datenbasierter Modelle im chemischen/ industriellen Umfeld</li><li>
Verst&auml;ndnis f&uuml;r White-Box- und Black-Box-Ans&auml;tze sowie f&uuml;r die verst&auml;ndliche Vermittlung von Modellergebnissen an Fachbereiche</li><li>
Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift</li><li>
Reisebereitschaft sowie Freude an der Zusammenarbeit in internationalen und interdisziplin&auml;ren Teams</li></ul></div></div></div>
Vertragsart Unbefristet 
Das sind wir 
Wenn die Chemie stimmt, k&ouml;nnen wir bei LANXESS viel bewegen Sport beschleunigen, Getr&auml;nke l&auml;nger haltbar machen, der Freizeit mehr Farbe geben und noch vieles mehr.
Als einer der f&uuml;hrenden Spezialchemie-Konzerne entwickeln und produzieren wir chemische Zwischenprodukte, Additive, Spezialchemikalien und Hightech-Kunststoffe. Mit mehr als 11.800 Mitarbeitenden sind wir in 32 L&auml;ndern weltweit pr&auml;sent. 
Geh&ouml;ren Sie dazu! 
Unser Angebot<ul><li> 
Verg&uuml;tung Wir sorgen f&uuml;r eine faire Verg&uuml;tung und bieten Ihnen ein globales Bonusprogramm und eine freiwillige individuelle Bonuszahlung.</li><li>
Umfassende Leistungen Wir bieten eine Mischung aus verschiedenen Leistungen zur Unterst&uuml;tzung Ihrer finanziellen Sicherheit, Gesundheit und Wohlbefinden, einschlie&szlig;lich Altersvorsorge, Gesundheitsprogramme, Lebensversicherung und medizinischer Versorgung.
</li><li>Arbeitsleben &amp; Flexibilit&auml;t Wir unterst&uuml;tzen Sie bei der Balance zwischen Arbeitszeiten und Privatleben. Mit unserem globalen Xwork-Programm bieten wir den Rahmen f&uuml;r die Umsetzung flexibler Arbeitsregelungen.</li><li>
Training &amp; Entwicklung Wir engagieren uns f&uuml;r Ihre berufliche und pers&ouml;nliche Entwicklung und ermutigen Sie, Ihre Aus- und Weiterbildung und Ihr Wissen durch formales und informelles Lernen fortzusetzen.</li><li>
Vielfalt F&uuml;r uns sind Ihre F&auml;higkeiten und Ihre Pers&ouml;nlichkeit wichtig - wir begr&uuml;&szlig;en jede Person, die sich unseren Werten verpflichtet f&uuml;hlt. Wir sind fest davon &uuml;berzeugt, dass uns die Einbeziehung verschiedener Perspektiven innovativer macht und unsere Wettbewerbsf&auml;higkeit verbessert. Deshalb nehmen wir die Einzigartigkeit jedes einzelnen Menschen an und setzen uns daf&uuml;r ein, unsere Mitarbeitenden bei der Entwicklung ihres individuellen Potenzials zu unterst&uuml;tzen.</li></ul> 
Bitte richten Sie Ihre Bewerbung an das Recruiting Team.</div>

Data Scientist (w/m/d)

Search 10000+ Machine learning specialist jobs near you this July. New roles added regularly across leading industries. Apply today.

10000 machine learning specialist jobs Near Me

Senior Exploitation Specialist (Data Scientist)

Machine Learning Engineer

Software Engineer – Machine Learning (AI Training)

Software Engineer – Machine Learning (AI Training)

Software Engineer – Machine Learning (AI Training)

Applied AI ML Senior Associate - Machine Learning Center of Excellence - Time Series Reinforcement Learning

Data Scientist (w/m/d)