Job in Uganda
Machine Learning Research Engineer / Scientist
DistrictNot specifiedCityNot specifiedContractType not specifiedPosted2026-08-31Close dateNot specifiedExperienceNot specifiedSourceBrighterMonday Uganda
machine learningresearch engineerAI scientistfoundation modelsPyTorchdistributed trainingUgandafull timetechnologyresearch engineerML scientistartificial intelligence
AI summary
BrighterMonday Uganda is hiring a Machine Learning Research Engineer / Scientist to develop, train, and deploy large-scale AI foundation models for weather, energy, and related domains. The role involves architecting innovative ML models for spatiotemporal data, leading end-to-end development from research to production, and collaborating with world-class researchers and engineers.
- Focus on large-scale AI foundation models for weather and energy
- End-to-end development from research to production deployment
- Requires strong Python and PyTorch/Jax skills
- Distributed training and large-scale data pipeline experience needed
- MSc/PhD and published research are advantageous
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- UnclearRelated work experienceThe text mentions experience, but the exact level should be confirmed at source.
- PreferredPractical evidence in technology, research engineer, ML scientistThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Machine Learning Research Engineer / Scientist evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to BrighterMonday Uganda and the role in Not specified.
- Add concrete examples related to technology, research engineer, ML scientist, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from BrighterMonday Uganda; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- BrighterMonday Uganda
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Machine Learning Research Engineer / Scientist role in technology, research engineer?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Not specified under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research BrighterMonday Uganda before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
- We are seeking Machine Learning Research Engineers / Scientists to join our team working on groundbreaking physics foundation models. The successful candidate will develop, train and deploy to production large-scale AI foundation models for weather, energy, and beyond.
- What You'll Do
- Architect and implement innovative ML models for complex spatiotemporal data analysis.
- Lead end-to-end development of large-scale AI systems, from research to production.
- Drive the optimization of training and inference pipelines for maximum performance.
- Conduct validation experiments and performance analysis.
- Spearhead long-term research initiatives with significant real-world impact.
- Collaborate with world-class researchers and engineers.
- We expect you to have
- Proven track record in developing and deploying deep learning models.
- Advanced proficiency in Python and modern ML frameworks (PyTorch, Jax or similar).
- Demonstrated
Experience
- with distributed training systems and large-scale data pipelines.
- Strong software engineering practices and system design principles.
- Excellent problem-solving and analytical skills.
- Outstanding communication and collaboration abilities.
- Nice to have
- MSc or PhD in Artificial Intelligence, Computer Science, or related technical field.
- Published research in prestigious AI conferences/journals (NeurIPS, ICML, etc.).
- Hands-on
- with one or several of the following: transformers, diffusion models, self-supervised learning, foundation model training/fine-tuning.
- Join us in pushing the boundaries of foundation models for the physical world!
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- Important safety tips
- Do not make any payment without confirming with the BrighterMonday Customer Support Team.
- If you think this advert is not genuine, please report it via the Report Job link below.
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Source and provenanceSource: BrighterMonday Uganda. Last checked: 2026-09-17.Kazi Connect is a job discovery service, not the employer. Always confirm the vacancy at the original source.Summaries may be AI-assisted. Report inaccurate content.
Never pay to apply. Always confirm the original source and watch for payment requests, sensitive document requests, or unrealistic promises.