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Junior Computer Programmer Jobs in Nova Scotia (NOW HIRING)

Junior Machine Learning Engineer

Dartmouth, NS ยท On-site

CA$80K - CA$95K/yr

As a Junior Machine Learning Engineer on the Global AI Team, you will support the design ... Degree or diploma in Computer Science, Data Science, Software Engineering, Machine Learning ...

A passion for mentoring and developing junior engineers and technologists; * Advanced analytical and computer modeling skills (LUSAS Bridge preferred); and * Strong client relationship management ...

A passion for mentoring and developing junior engineers and technologists; * Advanced analytical and computer modeling skills (LUSAS Bridge preferred); and * Strong client relationship management ...

Structural Engineer (Senior Level)

Halifax, NS ยท On-site

CA$135K - CA$180K/yr

Salary: CAD $135,000 - $180,000 per year (based on experience) Who You Are A licensed Professional ... Passion for mentoring junior-level staff. Demonstrates the ability to work effectively with a ...

Junior to Intermediate (Expected Experience: 0-3+ Years) Full Transparency: We Work a Little ... Analyze customer CAD models using SolidWorks. * Apply Design for Manufacturability (DFM) principles ...

Jr. Quality Assurance Analyst

Halifax, NS ยท On-site +1

CA$50K - CA$60K/yr

University degree or college diploma in Math, Computer Science, or a related field * Clear, confident communication skills with ability to debate logic errors with engineering teams. * High comfort ...

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Junior Computer Programmer information

See Nova Scotia salary details

$22.5K

$58.9K

$105K

How much do junior computer programmer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for junior computer programmer in Nova Scotia is $58,889.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $73,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior computer programmer, and why are they important?

To thrive as a Junior Computer Programmer, you need a solid understanding of programming languages (such as Python, Java, or C++), basic algorithms, and a relevant degree or certification in computer science or a related field. Familiarity with integrated development environments (IDEs), version control systems like Git, and debugging tools is typically expected. Strong problem-solving abilities, attention to detail, and willingness to learn help junior programmers stand out. These skills and qualities are vital for writing efficient code, collaborating with teams, and adapting to evolving project requirements in a technology-driven workplace.

What are some typical challenges a junior computer programmer might face during their first year, and how can they overcome them?

Junior Computer Programmers often encounter challenges such as understanding legacy codebases, adapting to new programming languages or frameworks, and managing time across multiple projects. It's common to feel overwhelmed by the steep learning curve, but seeking mentorship from senior developers, actively participating in code reviews, and asking questions early can help ease the transition. Embracing continuous learning and collaborating closely with team members fosters both technical growth and confidence in tackling complex coding tasks.

What is a junior computer programmer?

Junior Computer Programmers are entry-level professionals who write, test, and maintain code under the guidance of more experienced developers. They typically assist with basic programming tasks, fix bugs, and help implement new features in software projects. Junior programmers often work in teams, learning industry best practices and gaining experience with different programming languages and development tools. This role serves as a stepping stone for advancing to more senior programming or software engineering positions.

What is the difference between Junior Computer Programmer vs Junior Software Developer?

AspectJunior Computer ProgrammerJunior Software Developer
Required CredentialsTypically an associate degree or relevant certifications in programmingSimilar credentials, often including a degree in computer science or related field
Work EnvironmentEntry-level coding tasks, debugging, and supporting development teamsInvolves coding, designing, and testing software applications
Employer & Industry UsageUsed across tech companies, IT departments, and software firmsCommon in software development companies, tech startups, and IT services

Both roles involve entry-level programming skills and similar educational backgrounds. While Junior Computer Programmers focus more on coding and debugging, Junior Software Developers often participate in designing and developing software solutions. The roles are often interchangeable depending on the company, but understanding these nuances helps clarify career paths in software development.

What job categories do people searching Junior Computer Programmer jobs in Nova Scotia look for?

The top searched job categories for Junior Computer Programmer jobs in Nova Scotia are:

Infographic showing various Junior Computer Programmer job openings in Nova Scotia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $58,889 per year, or $28.3 per hour.

Junior Machine Learning Engineer

ALS

Dartmouth, NS โ€ข On-site

CA$80K - CA$95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

At ALS, we encourage you to dream big.

When you join us, you'll be part of a global team harnessing the power of scientific testing and data-driven insights to build a healthier future.

About the Position:

As a Junior Machine Learning Engineer on the Global AI Team, you will support the design, development, deployment, and maintenance of AI and machine learning solutions. You will work with data scientists, engineers, product teams, and business stakeholders to help transform ideas into scalable AI-enabled products and workflows. This role is well suited for someone who is technically curious, eager to learn, and motivated to apply modern AI techniques, including LLMs, Agentic AI, deep learning, and traditional machine learning models, to real-world business and scientific problems.

Specific Responsibilities:

  • Support the development and deployment of machine learning and AI models across ALS business functions.

  • Assist in building AI solutions using Large Language Models (LLMs).

  • Contribute to the design and implementation of Agentic AI systems, including tool-using agents, orchestration workflows, and task automation.

  • Develop, train, test, and evaluate conventional machine learning and deep learning models.

  • Work with structured and unstructured data to support model development, feature engineering, and data preparation.

  • Collaborate with senior AI engineers and data scientists to improve model performance, reliability, scalability, and maintainability.

  • Support cloud-based AI and ML development using platforms such as Azure, Google Cloud Platform (GCP), and AWS, with a preference for Azure and GCP.

  • Assist in building model pipelines, experimentation workflows, and deployment processes.

  • Participate in code reviews, technical documentation, testing, and quality assurance activities.

  • Stay current with emerging trends in machine learning, generative AI, LLMs, deep learning, and cloud AI services.

  • Follow ALS standards for security, privacy, data governance, and responsible AI practices.

Required Knowledge, Skills & Abilities:

  • Hands-on experience with Google Cloud Platform (GCP).

  • Experience using cloud AI and machine learning services, model hosting, or MLOps tools.

  • Familiarity with vector databases, embeddings, retrieval-augmented generation (RAG), or semantic search.

  • Experience with APIs, microservices, or integrating machine learning models into applications.

  • Knowledge of software engineering practices such as version control, testing, CI/CD, and documentation.

  • Exposure to containerization tools such as Docker.

  • Experience working with enterprise data environments or cross-functional technical teams.

Required Qualifications:

  • Degree or diploma in Computer Science, Data Science, Software Engineering, Machine Learning, Artificial Intelligence, or a related technical discipline.

  • Practical experience with machine learning, including model training, evaluation, and deployment concepts.

  • Experience with deep learning frameworks such as PyTorch, TensorFlow, or similar tools.

  • Exposure to Large Language Models (LLMs).

  • Familiarity with Agentic AI concepts, including autonomous agents, tool calling, workflow orchestration, and AI assistants.

  • Programming experience in Python.

  • Familiarity with common machine learning and data science libraries such as scikit-learn, pandas, NumPy, or similar.

  • Experience working with at least one major cloud platform, including Azure, Google Cloud Platform (GCP), or AWS.

  • Ability to work effectively in a collaborative, hybrid team environment.

  • Strong analytical thinking, problem-solving skills, and a willingness to learn.

Physical Demands:

  • Ability to sit at a desk and perform general office work for extended periods, with periodic computer/screen use.

Our benefits includes:

  • An estimated annual salary of $80,000 - $95,000 CAD at the time of posting. Individual compensation is determined by factors such as job-related skills, relevant experience, education and/or training.

  • Structured wage increases.

  • Comprehensive benefit package specific to your work status (including extended medical, dental, and vision coverage, access to company perks, life and disability insurance, retirement plan with company match, employee assistance and wellness programs).

  • Additional vacation days for years of service.

  • Business support for education or training after 9 months with the company.

  • Learning & development opportunities (unlimited access to e-learnings and more).

Working at ALS

The ALS team is a diverse and dedicated community united by our passion to make a difference in the world.

Our values are important to us, and shape how we work, how we treat each other and how we recognise excellence.

At ALS, you'll be supported to develop new skills and reach your full potential. We invest in our people with programs and opportunities that help you build a diverse career with us.

We want everyone to have a safe, flexible and rewarding career that makes a positive impact on our people, the planet and our communities.

Everyone Matters

ALS is proud to be an equal opportunity employer and is committed to fostering an inclusive work environment where the strengths and perspectives of each employee are both recognised and valued.

Qualified candidates will be considered without regard to race, colour, religion, national origin, military or veteran status, gender, age, disabilities, sexual orientation, gender identity, pregnancy and pregnancy-related conditions, genetic information and any other characteristics protected by the law. We invite resumes from all interested parties, including women, First Nations, Metis and Inuit persons, members of minority groups, and persons living with disabilities.

ALS also welcomes applications from people with all levels of ability. Reasonable adjustments to support candidates throughout the recruitment process are available upon request.

Eligibility
To be eligible to work at ALS you must be a Citizen or Permanent Resident of the country you are applying for, or either hold or be able to obtain, a valid working visa.

How to apply
Please apply on-line and provide a resume & cover letter that best demonstrate your motivation and ability to meet the requirements of this role.