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Cyber Security Machine Learning Jobs in New York

Deloitte

Cyber - Google Cloud Security - Manager

Jericho, NY · On-site

$115K - $155K/yr

... cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever ... machine learning security, container security, data protection, monitoring, and secure delivery

Jobiak

Software Engineer

Bronx, NY · On-site

Company Description Jobiak's mission is to fuse machine learning technology with practical ... Minimum of BS in Computer Science, Cybersecurity, Computer Engineering, or related * Active ...

Accenture

Senior Data Scientist

New York, NY · On-site

Collaborate with data engineers, software engineers, machine learning engineers, architects, cybersecurity specialists, and platform teams to operationalize scalable AI solutions using MLOps ...

Accenture

Senior Data Scientist

Manhattan, NY · On-site

Collaborate with data engineers, software engineers, machine learning engineers, architects, cybersecurity specialists, and platform teams to operationalize scalable AI solutions using MLOps ...

Accenture LLP

Senior Data Scientist

Manhattan, NY · On-site

Collaborate with data engineers, software engineers, machine learning engineers, architects, cybersecurity specialists, and platform teams to operationalize scalable AI solutions using MLOps ...

Gartner

Engagement Manager, IT Strategy, Cyber

New York, NY · On-site

$121K - $164K/yr

  • Retirement

  • PTO

As a Cybersecurity Consultant, you will leverage Gartner's comprehensive research and tools to ... Evaluate the implications of AI, machine learning, IoT , and blockchain for cloud security ...

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All JobsCyber Security Machine Learning JobsCyber Security Machine Learning Jobs in New York

Cyber Security Machine Learning information

See New York salary details

$66.2K

$158K

$210.6K

How much do cyber security machine learning jobs pay per year?

As of Aug 18, 2026, the average yearly pay for cyber security machine learning in New York is $158,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,900.00 and $179,400.00 per year, depending on experience, location, and employer.

What is a cyber security machine learning?

A Cyber Security Machine Learning job involves applying machine learning techniques to detect, prevent, and respond to cyber threats. Professionals in this field develop and train models to analyze patterns in network traffic, detect anomalies, and identify potential security breaches. They work with large datasets, security logs, and threat intelligence to automate threat detection and improve defense systems. This role requires expertise in cybersecurity, machine learning, and programming languages like Python. It is crucial in modern security operations to enhance real-time threat detection and reduce response times.

What are the typical challenges faced in a cyber security machine learning position?

Professionals in Cyber Security Machine Learning often face the challenge of balancing the accuracy and performance of machine learning models with real-time threat detection needs. Adapting models to evolving and sophisticated cyber threats requires continuous learning and data refinement, as well as collaboration with cybersecurity analysts to validate findings. Additionally, handling large-scale datasets and maintaining data privacy can be complex. However, these challenges make the work intellectually rewarding and provide ample opportunities for professional growth in a constantly evolving technology landscape.

What are the key skills and qualifications needed to thrive in a cyber security machine learning position?

To excel in a Cyber Security Machine Learning role, you need strong knowledge of cybersecurity principles, machine learning algorithms, programming skills (e.g., Python), and typically a degree in computer science or a related field. Experience with cybersecurity tools (SIEMs, IDS/IPS), machine learning frameworks (such as TensorFlow or PyTorch), and relevant certifications like CISSP or CEH is highly valuable. Problem-solving ability, analytical thinking, and effective communication are standout soft skills for this role. These competencies are vital to proactively identify, analyze, and mitigate evolving cyber threats using advanced automated techniques.

Cyber Security Machine Learning jobs near you
Infographic showing various Cyber Security Machine Learning job openings in New York as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $158,046 per year, or $76 per hour.

Lead Cybersecurity Architect- Data

J.P. Morgan

Jersey City, NJ

Full-time

Medical, Retirement

Re-posted 12 days ago

Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Join one of the world's most influential companies and leverage your skills in cybersecurity to have a real impact on the financial industry.

As a Lead Cybersecurity Architect at JPMorganChase within the cyber security and technology controls, you

are an integral part of a team that works to develop high-quality cybersecurity solutions for various software applications on modern cloud-based technologies.

As a core technical contributor, you are responsible for carrying out critical cybersecurity

architecture

solutions by

identifying, creating, and communicating risk, mitigation options, and solutions

across multiple technical areas within various business functions in support of project goals

.

Job responsibilities

  • Architect and assess data security controls across cloud and hybrid platforms (e.g., Databricks, Snowflake, AWS, GCP) including storage, compute, analytics, and streaming services.
  • Engages technical teams and business stakeholders to discuss and propose technical approaches to meet current and future cybersecurity needs
  • Defines the technical target state of their cybersecurity product and drives achievement of the strategy
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall cybersecurity of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive continuous improvement and assess cybersecurity design and technical credentials for use in existing systems and architecture
  • Leads communities of practice to drive awareness and use of new and leading-edge cybersecurity technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect 

Required qualifications, capabilities, and skills

  • Formal training or certification with 5 years experience  in Data Technologies.
  • Hands-on practical experience delivering enterprise-level cybersecurity solutions and controls
  • Advanced in one or more programming languages. Proficiency in automation and continuous delivery methods  
  • Proficiency in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as continuous integration and delivery, application resiliency, and security?
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., public cloud, artificial intelligence, machine learning, mobile, etc.)   

  • Practical cloud native experience. 

    Deep knowledge of one or more software and applications

  • Ability to evaluate current and emerging technologies to recommend the best solutions for the future state architecture

  • Experience effectively communicating with senior business leaders

Preferred qualifications, capabilities, and skills

  • Proven experience in data security architecture (or security architecture with substantial data platform scope) with a track record of delivering enterprise-scale controls.

  • Strong knowledge of: 

    Data security concepts (classification, access controls, encryption, tokenization/masking, DLP, retention, secure sharing)

  • Cloud security architecture for data services (storage, analytics, messaging/streaming). 

    Identity and access management patterns (federation, service identities, least privilege, ABAC/RBAC)

  • Experience performing threat modeling, security design reviews, and risk assessments for complex data flows and distributed systems. 

    Working familiarity with secure engineering practices and common vulnerabilities (e.g., OWASP) as they apply to data APIs and services. 

    Proficiency or strong working knowledge in one or more languages (e.g., Python, Java) and Infrastructure-as-Code concepts.

  • Familiarity with security and privacy frameworks/regulations (e.g., NIST, GDPR, HIPAA - where applicable). 

    Preferred Certifications (AWS Certified Solutions Architect, Databricks, Snowflake, Data Engineering)

#CTC

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

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.

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