Machine Learning Engineer Remote Jobs in Kentucky (US)
This page tracks remote machine learning engineer openings that are location-eligible for Kentucky.
This page tracks remote machine learning engineer openings that are location-eligible for Kentucky.
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• Design realistic machine learning benchmark tasks based on research workflows, including model implementation, experimentation, training, evaluation, and performance analysis. • Translate open-ended research concepts into structured, reproducible evaluation tasks with clearly defined success criteria. • Implement machine learning solutions using Python, execute experiments, and produce reference implementations that demonstrate correct methodology and expected outcomes. • Develop benchmark tasks involving reinforcement learning concepts such as reward functions, policy optimization, training dynamics, and model behavior where applicable. • Evaluate AI-generated solutions by identifying implementation errors, experimental flaws, incorrect reasoning, and unsupported conclusions. • Collaborate with AI researchers and fellow subject matter experts to continuously improve benchmark quality, technical rigor, and evaluation consistency.
• Support the development of scalable AI applications, text analytics pipelines, and agentic AI solutions that improve taxpayer service, compliance, and internal operational efficiency • Contribute to the design, development, evaluation, and operationalization of advanced NLP and Generative AI solutions • Develop and enhance NLP and text analytics capabilities supporting document classification, topic modeling, text clustering, summarization, information extraction, and named entity recognition • Support integration of NLP capabilities with enterprise datasets, analytical platforms, and operational systems • Design, develop, test, and maintain AI-enabled applications using modern software development practices • Develop front-end user interfaces utilizing JavaScript frameworks and libraries • Build and maintain backend APIs and microservices using Python frameworks such as Flask or FastAPI
• Design, build, deploy, secure, and continuously improve enterprise software • Build new applications and enhance existing platforms • Develop high-performing user experiences • Own software delivery from initial discovery through production support • Serve as the accountable engineer for applications • Recommend modernization or retirement of applications
Shaping a sustainable future with the world’s leading organizations
Role Description Shape the future of learning, capability and workforce transformation at one of the world's leading sustainability consulting firms. ERM is seeking an accomplished global Learning & Development leader to provide executive leadership during a critical period of transformation. This is far more than a maternity cover role. It is an opportunity to influence how a global organization develops talent, accelerates AI adoption, builds future-ready capabilities, and advances its journey toward becoming a skills-based organization. As Global Head of Learning & Development, you will lead a high-performing global team while overseeing strategic initiatives that are redefining how learning, capability development, and workforce transformation drive business success. Your leadership will help ensure ERM's people are equipped to thrive in the future of work. What Your Impact Is - Lead ERM's global Learning & Development function, ensuring operational excellence, continuity, and strategic alignment during a period of significant transformation. - Drive enterprise-wide capability development initiatives that support AI adoption, commercial growth, consulting excellence, and business transformation. - Accelerate ERM's evolution toward a skills-based organization by connecting skills, job architecture, career pathways, and learning experiences. - Influence the capabilities required for an AI-enabled workforce and help shape how learning supports future ways of working. - Advance the maturity of ERM's learning operating model through process optimization, technology innovation, analytics, governance, and resource planning. - Champion a culture of continuous learning that empowers employees to grow, adapt, and perform at their best. Qualifications - 10+ years of progressive experience in Learning & Development, Talent Development, Organizational Capability, Workforce Skills, or related People functions. - Proven experience leading global or geographically dispersed L&D teams within complex, matrixed, or professional services environments. - Demonstrated success leading learning strategies that support large-scale business transformation, technology adoption, organizational change, or capability-building initiatives. - Experience supporting or enabling a transition to a skills-based organization. - Strong executive leadership skills with the ability to influence senior stakeholders, governance groups, transformation leaders, and business executives. - Expertise in learning operating models, governance, demand management, portfolio prioritization, resource planning, and delivery oversight. - Experience overseeing enterprise learning initiatives related to AI enablement, digital fluency, organizational transformation, or future of work programs. - Strong understanding of learning technologies, learning operations, analytics, reporting, and digital learning ecosystems. - Experience managing complex portfolios, budgets, external vendors, and multiple concurrent strategic initiatives. - Exceptional communication, stakeholder management, and decision-making skills. - Ability to thrive in fast-paced environments, navigate ambiguity, and make pragmatic, business-focused decisions. Requirements - Experience within professional services, consulting, advisory, or other knowledge-based organizations. - Experience designing or implementing skills frameworks, proficiency models, job architecture, or skills-based talent processes. - Experience aligning learning strategies with workforce planning, talent acquisition, internal mobility, or broader talent management initiatives. - Deep understanding of change management, adoption strategies, and behavior change methodologies. - Experience leveraging AI to improve learning design, content development, workflow automation, learner support, and team effectiveness. - Strong commercial acumen and understanding of consulting delivery, client service excellence, and organizational growth strategies. - Experience promoting learning culture initiatives that encourage self-directed learning and continuous development. Key Responsibilities - Lead ERM's Global Learning & Development Function. - Provide strategic leadership to a global team of approximately 25 learning professionals and contractors. - Lead and support Directors and workstream leaders across leadership development, career development, commercial learning, compliance, health & safety learning, learning operations, and learning technology. - Maintain effective governance, communication rhythms, stakeholder engagement, and leadership oversight across the L&D portfolio. - Ensure learning delivery remains well-governed, appropriately resourced, and aligned with business priorities. - Drive Enterprise Transformation and Capability Building. - Provide executive oversight of AI upskilling initiatives spanning foundational through advanced capability levels. - Lead learning strategies that support Client Delivery Excellence (CDE), Consulting Delivery Hub (CDH), Commercial Learning, Finance Transformation, and other enterprise transformation programs. - Align learning priorities with broader Future of Work, Global Process & Data, Skills, and PMO initiatives. - Define and enable the capability shifts required for an increasingly AI-enabled workforce. - Advance ERM's Skills-Based Organization Journey. - Collaborate with Skills, Talent, HR, and business leaders to align job profiles, skills frameworks, proficiency expectations, and learning pathways. - Translate enterprise skills strategies into practical learning solutions and measurable capability outcomes. - Support pilots, experimentation, and continuous improvement efforts that inform future workforce and talent strategies. - Shape the Future of Learning at ERM. - Embed AI-enabled practices into learning workflows, content development, and team operations to improve quality, speed, and scalability. - Modernize learning processes and operating models to create greater efficiency, consistency, and transparency. - Sponsor learning culture initiatives that encourage curiosity, growth, and continuous development across the organization. - Oversee learning technology strategy, including LMS enhancements, learning experience platforms, analytics, and future technology roadmaps. - Deliver Operational Excellence. - Oversee intake management, prioritization, resource planning, reporting, analytics, and performance measurement. - Manage budgets, vendor relationships, and delivery performance across the global portfolio. - Identify and mitigate risks related to stakeholder alignment, resource constraints, adoption challenges, competing priorities, and delivery quality. - Provide clear executive reporting, governance updates, and decision support to senior leaders and stakeholders. Benefits - Creating an inclusive workplace where everyone feels valued, respected, and empowered to thrive. - Equal opportunities for every candidate. - Support for individuals with disabilities, neurodivergence, or those needing accommodations during the selection process. - Tools, support, and adjustments needed to succeed and feel a true sense of belonging.
• Define the technical vision and long-term roadmap for Feed Retrieval, aligning large-scale recommender-system investments with Reddit’s product, ecosystem, and business objectives. • Translate broad Feed Relevance goals into a focused team roadmap, making clear prioritization tradeoffs across model quality, inventory expansion, experimentation velocity, infrastructure cost, and operational reliability. • Coach and support the development of your team, constantly seeking opportunities to grow their skills and impact. • Oversee the design, development, and optimization of retrieval systems that source relevant, diverse, fresh, and high-quality candidates for personalized feed experiences. • Establish strong measurement, experimentation, and debugging practices so the team can understand retrieval quality, candidate coverage, source incrementality, and downstream impact. • Collaborate with ML platform, infrastructure, ranking, safety, and product teams to build scalable, low-latency retrieval systems that can support the next generation of AI-powered recommendations. • Maintain high standards for system performance, reliability, latency, cost efficiency, and responsible recommendation practices. • Work with cross-functional partners from across the company to identify key areas of opportunity, set expectations, and communicate your team’s work. • Partner with our incredible recruiting team to attract, interview, and hire diverse and talented machine learning engineers, growing a world-class team.
• Define the technical vision and long-term roadmap for Feed Ecosystems. • Coach and support the development of your team. • Work closely with product, design, data science, safety, community, ads, and platform partners. • Oversee the design, development, and optimization of ML systems. • Help define and operationalize signals for subjective and objective quality. • Collaborate with platform and infrastructure teams to build scalable AI-powered systems. • Maintain high standards for system performance, reliability, efficiency, and responsible AI practices. • Partner with our recruiting team to attract, interview, and hire diverse and talented machine learning engineers.
Role Description Have you earned your OSCP, OSEP/OSED/OSWE, and gained offensive experience before and/or since then? Are you excited at the opportunity to contribute to the growth and education for the current and next generation of cybersecurity professionals? If the idea of building lab environments to provide hands-on experience for individuals to learn and upskill, then this might be the right role for you! Duties and Responsibilities - Content design and build - Researches and identifies topical, relevant attack vectors suitable for inclusion in OffSec labs, exams, and/or learning content. - Design and build VMs and multi-host environments from vectors across Linux and Windows, including Active Directory and Cloud attack paths. - Designs realistic scenarios and environment narratives that make each attack path plausible and discoverable through enumeration. - Ensures the range of vectors in each environment is appropriate to its stated difficulty level and learning objectives. - Maintains variety across the catalogue so that content remains distinct as it rotates through active use. - Quality, integrity, and reproducibility - Review labs for unintended solution paths and confirms each is solvable by the intended route within its expected time frame. - Validates that machines are deterministic and reproducible in an isolated environment, including reliable reset and revert behaviour. - Deliberate selection and use of software and OS versions, monitoring deployed components so that content behaves consistently over its lifetime. - Documents the steps required to complete each machine, with difficulty assessed at a level of detail that supports competency mapping and certification review. - Collaboration - Coordinates with the relevant team(s) to deploy, update, and retire content. - Coordinates with testing to ensure full coverage of both newly created and updated content. - Coordinates with the Lab team Manager and Content Architect on vector selection and exploit implementation within courses and learning paths. - Coordinates and makes recommendations to keep content additions consistent across products. - Regularly communicates content additions, changes, and retirements to relevant stakeholders. - Senior scope - Acts as a technical reviewer for lab concepts and builds produced by other Vulnerable Machine Engineers and community contributors, providing structured, actionable feedback. - Support and mentor other engineers on build standards, documentation quality, and content review practice. - Contributes across OffSec's lab and exam portfolio as priorities require, rather than to a single product. - Automation and tooling - Creates and maintains automation that makes lab creation timely, consistent, and repeatable. - Evaluates new and emerging technologies to make recommendations on their introduction into the lab estate. - Creates and maintains documentation for every lab, to a standard that allows any team member to rebuild it from the documentation alone, without assistance. Qualifications - OSCP minimum, OSCE³ preferred (or at least one OffSec 300-level cert required). - A Bachelor’s Degree in Systems Engineering, Computer Science, Information Systems, and/or Information Assurance from an accredited institution/related specialized field, or equivalent practical experience. - Demonstrable Active Directory and Cloud attack-path experience. - Proficiency with infrastructure-as-code and configuration management and version control. - Scripting proficiency (Python, PowerShell, Bash). - At least five or more years of experience as a Systems Engineer or in an Info-Sec related position, with experience reviewing or approving others' technical security content. - Experience with Penetration Testing. - Experience with Bug Bounty Hunting. - Experience as a Systems Administrator with a variety of Operating Systems: - MS Windows - MS Windows Based Server Systems - POSIX Server Systems - Linux and Mac Desktop Environments - Strong written and verbal communication skills with an ability to present technical ideas clearly to both technical and non-technical audiences. Work Location and Hours This role is a full-time salaried position. It is a fully remote position. Work hours for this position are flexible and will be performed from a home office. Direct Reports This position has no direct reports. However, the expectations of this role are to provide technical leadership. EEO OffSec provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Global leader in Data, Analytics and AI with exceptional focus on Innovation, Customer Service and Employee engagement
• Architect and deliver end-to-end AI/ML and Generative AI solutions from discovery through production deployment. • Design production-grade RAG systems, vector search solutions, embedding pipelines, AI agents, copilots, and multi-agent workflows. • Lead hands-on implementation using Snowflake Cortex, Cortex Analyst, Cortex Search, Cortex Agents, Snowpark ML, and related Snowflake AI capabilities. • Design scalable ML and LLM pipelines supporting training, inference, evaluation, monitoring, and governance. • Integrate AI solutions with AWS, Azure, or GCP, as well as enterprise applications, APIs, ETL/ELT platforms, streaming systems, and third-party AI services. • Define reusable AI reference architectures, accelerators, technical standards, and governance frameworks. • Provide technical leadership through architecture reviews, code reviews, design sessions, and production-readiness assessments. • Lead client discovery workshops, solution design, effort estimation, technical presentations, proof-of-concepts, and pre-sales activities. • Collaborate with data engineers, ML engineers, application teams, architects, and business stakeholders throughout delivery.
• Own features end-to-end. From design through implementation, rollout, and iteration in close partnership with Product and our Experience (front-end) team. • Navigate ambiguous problems and find a clear path forward. You take initiative rather than waiting for complete specs. • Contribute to a product-driven roadmap with real deadlines: help the team prioritize tradeoffs and ship iteratively rather than waiting for perfect. • Extend Chainguard's agentic AI foundation into customer-facing product experiences across the full product suite. • Bring a strong technical point of view to architectural decisions and a collaborative spirit when working through them with the team.
• Design and build user-facing ML features that harness LLMs and generative AI to unlock new product capabilities • Partner with product, design, and ML research to prototype and deliver high-impact, ML-powered experiences • Own the technical architecture and implementation strategy for applied ML systems - balancing latency, observability, and iteration speed • Build scalable services and APIs that bring model outputs to users in trustworthy and intuitive ways • Collaborate across platform, infra, and legal/compliance teams to ensure ML deployments meet standards for safety, fairness, and performance • Establish and evangelize best practices for prompt design, model evaluation, and experimentation across the org
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