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Junior Machine Learning Engineer Jobs in Halifax, NS

Targeted Talent

Data Scientist

Halifax, NS

$80K - $100K/yr

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

Targeted Talent

Data Scientist

Halifax, NS

$80K - $100K/yr

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

CBCL Limited

Senior Water Resources Engineer

Halifax, NS · On-site

Mentor and guide junior and intermediate team members, sharing expertise and fostering professional ... Education and lifelong learning subsidization * Community volunteering incentive * Employee Family ...

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Halifax, NS

Junior Machine Learning Engineer information

See Halifax, NS salary details

$26K

$119.2K

$207.5K

How much do junior machine learning engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for junior machine learning engineer in Halifax, NS is $119,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $149,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Halifax, NS as of July 2026, with employment types broken down into 100% Full Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $119,158 per year, or $57.3 per hour.

Lead Developer - Research & Development

The Citco Group Limited

Halifax, NS • On-site

Full-time

Re-posted 29 days ago

Job description

About Citco

Citco is a global leader in fund services, corporate governance and related asset services with staff across 50 office locations worldwide. With more than $1.8 trillion in assets under administration, we deliver end-to-end solutions and exceptional service to meet our clients' needs.

For more information about Citco, please visit www.citco.com

About the Team & Business Line: 

Research & Development (R&D) is a multidisciplinary team that focuses on conducting Proof of Concepts (PoCs), thorough market analysis, and in-depth research to identify and develop cutting-edge solutions that meet evolving client and business needs. The team works with various stakeholders to promote innovation, enabling the organization to remain competitive, drive efficiency and build new products and services.

About You:

  • Degree in Mathematics, Computer Science, Information Systems, or related field.
  • 4+ years of professional programming experience, with expertise in Python (including libraries like Pandas, NumPy, etc.)
  • 2+ years of hands-on experience with AWS, including designing, deploying, and managing cloud infrastructure (EC2, S3, Lambda, Cloudformation, CI/CD, etc.)
  • Exceptional communications skills, both written and oral.
  • Ability to work independently and lead a team.
  • Able to independently analyze the effectiveness and efficiency of existing processes and developing technical solutions for improvements.
  • Proven track record in AI/ML: Development, training, and deployment of machine learning models, Industry projects on Production grade AI application. 
  • Experience architecting large and complex systems from the conceptual architecture level down through the application architecture level.
  • Assets:
    • Experience working with ML or AI models.
    • Experience writing Infrastructure as code with tools such as Terraform, CloudFormation, etc.
    • Experience with using JIRA and Confluence.
    • Professional level technical certification is a plus.

Our Benefits

Your well-being is of paramount importance to us, and central to our success. We provide a range of benefits, training and education support, and flexible working arrangements to help you achieve success in your career while balancing personal needs. Ask us about specific benefits in your location. 

We embrace diversity, prioritizing the hiring of people from diverse backgrounds. Our inclusive culture is a source of pride and strength, fostering innovation and mutual respect.

Citco welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection.

#INDCIT

Your Role:

As a Lead Developer in the Research & Development (R&D) team, your role is to drive innovation by creating, building, and launching solutions that enhance business processes and support better decision-making. You will oversee technical and research projects, collaborating with process owners and business stakeholders to deliver solutions that leverage cloud technologies, machine learning, natural language processing, computer vision, generative models, and multi-agent systems.

  • Research, design, and develop POCs to solve complex business problems. 
  • Design end-to-end systems on AWS, ensuring high availability, security, and performance.
  • Optimize infrastructure for cost-efficiency and scalability. 
  • Manage all phases of R&D projects-from ideation and feasibility studies to development, testing, deployment, and post-launch monitoring. 
  • Partner with business stakeholders, data engineers, platform and product teams to align technical solutions with strategic goals. 
  • Guide junior developers, conduct code reviews, and foster a culture of continuous learning and best practices. 
  • Establish coding standards, implement CI/CD pipelines, and enforce security/compliance protocols (especially critical in financial services). 
  • Participate in daily scrums, retrospective and backlog grooming sessions. 
  • Prepare technical documentation, deliver demos to senior leadership, and create reports showcasing the impact of R&D innovations. 
  • Stay updated on emerging AI trends, tools, and industry standards. 
  • Contribute to internal knowledge-sharing (e.g., workshops, technical blogs).

Key Competencies: 

  • Adaptability
  • Problem Solving
  • Communication
  • Teamwork
  • Drive for Results
  • Attention to Detail

Apply