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Learning And Development Jobs in Concord, NH (NOW HIRING)

Senior Machine Learning Engineer (3968)

Manchester, NH · On-site

$104K - $142K/yr

We drive the development of these cutting-edge technologies, aiming to provide unparalleled ... Senior Machine Learning Engineer The Senior Machine Learning Engineer is a senior individual ...

Lead Early Learning Teacher

Concord, NH · On-site

$15 - $20.25/hr

The Granite YMCA is seeking Lead Teachers to join our Early Learning team! This is a key leadership ... Paid training and professional development opportunities * Opportunities for growth and advancement ...

Lead Early Learning Teacher

Concord, NH · On-site

$15 - $20.25/hr

The Granite YMCA is seeking Lead Teachers to join our Early Learning team! This is a key leadership ... Paid training and professional development opportunities * Opportunities for growth and advancement ...

Showing results 21-40

Learning And Development information

See Concord, NH salary details

$14

$41

$84

How much do learning and development jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for learning and development in Concord, NH is $41.16, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $69.90 per hour, depending on experience, location, and employer.

What is the difference between Learning And Development vs Training Coordinator?

AspectLearning And DevelopmentTraining Coordinator
CredentialsOften requires certifications in L&D, HR, or related fieldsTypically requires HR or administrative certifications
Work EnvironmentDesigning programs, strategic planning, working with managementOrganizing training sessions, scheduling, logistics
Employer & Industry UsageUsed across corporate, education, and nonprofit sectors for strategic growthCommon in corporate settings for operational training
Search & Comparison IntentFocuses on strategic development rolesFocuses on logistical and operational training roles

Learning And Development professionals focus on creating strategic training programs to enhance employee skills and organizational growth. Training Coordinators handle the logistics and administration of training sessions. While both roles support employee development, L&D is more strategic and design-oriented, whereas Training Coordinators focus on execution and logistics.

What are the key skills and qualifications needed to thrive as a learning and development professional, and why are they important?

To thrive as a Learning and Development professional, you need expertise in instructional design, adult learning theory, and strong facilitation skills, often supported by a degree in education, human resources, or related fields. Familiarity with learning management systems (LMS), e-learning authoring tools, and relevant certifications such as CPLP or SHRM-CP is highly valuable. Excellent communication, creativity, and stakeholder management skills help professionals engage learners and drive organizational development. These competencies ensure effective training initiatives that support talent growth and align learning strategies with business goals.

What qualifications do you need to work in learning and development?

To work in learning and development, candidates typically need a bachelor's degree in education, human resources, or a related field. Relevant skills include strong communication, instructional design, and familiarity with learning management systems; certifications like CPLP or ATD can enhance prospects.

What is learning and development (L&D)?

Learning and development (L&D) refers to the process within organizations that focuses on improving employees’ skills, knowledge, and competencies. L&D involves designing, delivering, and evaluating training programs, workshops, and other educational activities to help employees perform better in their current roles and prepare for future responsibilities. The goal is to foster professional growth, enhance job satisfaction, and contribute to organizational success. L&D can include onboarding, technical training, leadership development, and ongoing education tailored to business needs.

How does a learning and development professional typically collaborate with other departments to identify training needs?

Learning and Development professionals often work closely with managers and team leads across various departments to assess skill gaps and align training initiatives with organizational goals. This collaboration usually involves conducting needs assessments, gathering feedback through surveys or interviews, and reviewing performance data to design targeted programs. Effective communication and relationship-building skills are essential, as L&D professionals must balance the needs of different teams while ensuring training solutions are practical and impactful.

What is the work of learning and development?

Learning and Development professionals design, implement, and manage training programs to improve employee skills and knowledge. They assess organizational needs, create educational content, and evaluate training effectiveness to support workforce growth and performance.

What are popular job titles related to Learning And Development jobs in Concord, NH?

For Learning And Development jobs in Concord, NH, the most frequently searched job titles are:

What job categories do people searching Learning And Development jobs in Concord, NH look for?

The top searched job categories for Learning And Development jobs in Concord, NH are:

What cities near Concord, NH are hiring for Learning And Development jobs?

Cities near Concord, NH with the most Learning And Development job openings:

Infographic showing various Learning And Development job openings in Concord, NH as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $85,606 per year, or $41.2 per hour.

Senior Machine Learning Engineer (3968)

GBG

Manchester, NH • On-site

$104K - $142K/yr

Full-time

Re-posted 18 days ago


Job description

About GBG
Enabling safe and rewarding digital lives for genuine people, everywhere
We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification.
With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live.
About the team and role
CVML Teams
At the heart of GBG's Documents and Biometrics portfolio, our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting-edge technologies, aiming to provide unparalleled solutions for document verification and digital trust. Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology, our daily operations focus on efficiency through automation.
Senior Machine Learning Engineer
The Senior Machine Learning Engineer is a senior individual contributor responsible for designing, developing, deploying, and continuously improving machine learning and computer vision models that power production-grade systems. This role combines strong hands-on technical execution with mentorship, collaboration, and data-driven problem solving.
Operating within an Agile environment, the Senior ML Engineer works closely with the machine learning team and cross-functional partners to translate product requirements into robust ML solutions. The role requires deep expertise in modern ML and computer vision techniques, experience operating models in production, and the ability to guide junior engineers through the full ML lifecycle while driving measurable improvements in model performance and product quality.
What you will do
Technical Development & Innovation
  • Design, implement, and optimize state-of-the-art machine learning and computer vision models to enhance product capabilities.
  • Research, evaluate, and apply modern architectures and techniques, including CNNs, transformers, and vision-language models.
  • Implement and benchmark newly developed algorithms on large-scale datasets, validating both accuracy and throughput.
  • Fine-tune large-scale models using efficient adaptation techniques such as LoRA and QLoRA.

Model Evaluation & Data Analysis
  • Define, implement, and monitor appropriate evaluation metrics (e.g., precision, recall, ROC-AUC, confusion matrices).
  • Analyze training, test, and production data using statistical and visual techniques to identify performance gaps and reliability risks.
  • Propose and implement data-driven enhancements to model accuracy, robustness, and system stability.

Production Deployment & MLOps
  • Support end-to-end ML workflows, including data preparation, training, deployment, monitoring, and iterative improvement.
  • Contribute to CI/CD pipelines and production monitoring to ensure reliable, reproducible, and scalable model delivery.
  • Assist in diagnosing and resolving model performance regressions and production issues.

Mentorship & Team Contribution
  • Mentor and support junior CVML engineers across all phases of ML projects, including planning, data collection, annotation, training, deployment, and iteration.
  • Participate in design reviews, technical discussions, and knowledge-sharing initiatives to raise overall team capability.
  • Contribute actively to Agile ceremonies and collaborative problem-solving efforts.

Continuous Improvement & Collaboration
  • Proactively suggest improvements to existing models, workflows, tools, and product features.
  • Collaborate effectively with engineering, product, and data stakeholders to deliver high-impact ML solutions.
  • Maintain awareness of emerging ML and computer vision trends and assess their applicability to real-world problems.

Skills we're looking for
  • Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field or equivalent experience
  • Strong hands-on experience developing and deploying machine learning models in production environments.
  • Advanced understanding of supervised, unsupervised, and semi-supervised learning techniques.
  • Expertise in classification, regression, clustering, and anomaly detection.
  • Solid experience with convolutional neural networks, recurrent neural networks, and transformer-based models.
  • Strong proficiency in Python (C++ is a plus) and PyTorch (TensorFlow is a plus)
  • Hands-on experience with modern neural network architectures and loss functions across tasks such as object detection, image segmentation, and representation learning.
  • Experience using computer vision and scientific computing libraries such as OpenCV.
  • Familiarity with model deployment, monitoring, and CI/CD workflows.
  • Beneficial to have experience working with large-scale datasets and performance-critical ML systems.
  • Prior experience mentoring or technically guiding other ML engineers.
  • Beneficial to have exposure to production MLOps practices and model lifecycle management.
  • Able to balances research-driven exploration with pragmatic, production-focused execution.

To find out more
As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process.
To chat to the Talent Attraction team and find out more about our benefits and why we're a great place to work, drop an email to behired@gbgplc.com and we'll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gbgplc.com/careers.
Unleash your potential and be part of our mission to power safe and rewarding digital lives.