TensorFlow Jobs in Portugal.
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We are building a pipeline of talented Machine Learning Engineers for upcoming projects at TensorOps. While we may not have an immediate opening, we are continuously growing and would love to connect with strong candidates for future opportunities.
If you are passionate about ML systems, GenAI, and production-grade deployments, we’d love to hear from you.
About the role
We’re looking for Machine Learning Engineers who enjoy building practical, production-ready AI systems and collaborating on meaningful projects.
In this role, you will:
- Take ownership of key components within ML and GenAI projects, with support from senior team members when needed
- Contribute to architectural and technical decisions in a collaborative environment
- Build scalable ML systems that move from experimentation to real-world application
- Work with international clients to understand requirements and implement thoughtful technical solutions
- Support and mentor junior team members as you grow in your own leadership journey
You’ll be part of a supportive, fast-growing team that values autonomy, open communication, and continuous learning.
Technical Expertise
We’re looking for engineers with strong hands-on experience across:
- Python: Writing clean, efficient, well-documented, production-quality code
- Machine Learning Frameworks: Designing, training, optimizing, and deploying models independently (e.g., PyTorch, TensorFlow, Scikit-learn)
- GenAI & LLM Systems: Building RAG pipelines, chatbot architectures, and applications using tools like LangChain
- MLOps & Production ML: Model versioning, monitoring, CI/CD for ML workflows
- Cloud Deployments: Deploying and scaling ML systems on AWS, GCP, or Azure
- Performance Optimization & Debugging: Diagnosing complex issues and improving system reliability and efficiency
Requirements
- 2+ years of professional experience in Machine Learning, AI Engineering, or a related role
- Proven experience building and deploying ML models in production environments
- Experience working with stakeholders or clients is a plus
- Bachelor’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field
- Master’s degree in AI, Machine Learning, Computer Science, or a related field is a strong plus
- Equivalent practical experience building and deploying production ML systems will also be considered
What We Offer
- 100% Remote Work: Work from anywhere with flexibility and autonomy
- Dynamic, High-Impact Projects: Work on cutting-edge ML and GenAI solutions across diverse industries
- International Clients: Collaborate with global organizations and solve real-world challenges at scale
- Urban Sports Club Membership: Supporting your physical and mental wellbeing
- Monthly Bolt Credits: For rides
- Company Events & Offsites: Regular team gatherings to connect, collaborate, and celebrate
Ready to apply?
Apply to TensorOps
Our Machine Learning teams build with the latest tools and launch for Silicon Valley startups and Life Science giants alike.
Join our team to work remotely, ship projects you’re proud be a part of, and enjoy every other Friday off (yes, we really take it 😎)
The Role
- Understanding of statistical, ML and deep learning algorithms
- Analyze errors of models and design strategies to overcome them
- Deploy, maintain, and upgrade ML models and pipelines
- Ambition to learn and grow into different industries with a modern tech stack
- Autonomy, adaptability and positivity (fully remote and globally distributed team)
The Required Hard Skills
- Bachelor's Degree in Computer Science or related
- 2+ years of ML engineering experience
- Experience with Python, ML libraries and AI/ML frameworks (PyTorch, HuggingFace, TensorFlow, etc.)
- Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
- CV written in English
Bonus Points for Experience with…
- Building GenAI solutions, namely prompt engineering (e.g: Langchain), fine-tuning and serving LLMs, search and embeddings, etc.
- MLOps, favorably in AWS (e.g: Sagemaker) as well as standards tools (e.g: MLFlow)
- Visualizing and manipulating big datasets
- NLP
The Required Soft Skills
- Curiosity—Ambition to learn and grow into different industries with a modern tech stack
- Autonomy and positivity—We’re a fully remote, globally distributed team
- Teamwork—Enjoy a collaborative approach
- Adaptability—Operate with a startup mindset and move at a startup pace
The Benefits
- Every other Friday off (26 extra days off a year)
- Remote and flexible
- Explore and Relocation programs (three months work abroad or full international relo)
- Paid sick days and local holidays
- Business English classes program
- Continuous Learning Support
- Fitness and/or Mental Health Subscriptions
- Access to LokaLabs™, our internal research and development program
- Defined career path
Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience.
Ready to apply?
Apply to Loka, Inc
Our Machine Learning teams build with the latest tools and launch for Silicon Valley startups and Life Science giants alike.
Join our team to work remotely, ship projects you’re proud be a part of, and enjoy every other Friday off (yes, we really take it 😎)
The Role
- Understanding of statistical, ML and deep learning algorithms
- Analyze errors of models and design strategies to overcome them
- Deploy, maintain, and upgrade ML models and pipelines
- Ambition to learn and grow into different industries with a modern tech stack
- Autonomy, adaptability and positivity (fully remote and globally distributed team)
The Required Hard Skills
- Bachelor's Degree in Computer Science or related
- 2+ years of ML engineering experience
- Experience with Python, ML libraries and AI/ML frameworks (PyTorch, HuggingFace, TensorFlow, etc.)
- Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
- CV written in English
Bonus Points for Experience with…
- Building GenAI solutions, namely prompt engineering (e.g: Langchain), fine-tuning and serving LLMs, search and embeddings, etc.
- MLOps, favorably in AWS (e.g: Sagemaker) as well as standards tools (e.g: MLFlow)
- Visualizing and manipulating big datasets
- NLP
The Required Soft Skills
- Curiosity—Ambition to learn and grow into different industries with a modern tech stack
- Autonomy and positivity—We’re a fully remote, globally distributed team
- Teamwork—Enjoy a collaborative approach
- Adaptability—Operate with a startup mindset and move at a startup pace
The Benefits
- Every other Friday off (26 extra days off a year)
- Remote and flexible
- Explore and Relocation programs (three months work abroad or full international relo)
- Paid sick days and local holidays
- Business English classes program
- Continuous Learning Support
- Fitness and/or Mental Health Subscriptions
- Access to LokaLabs™, our internal research and development program
- Defined career path
Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience.
Ready to apply?
Apply to Loka® Inc
Years from now, history will look back at this moment as a landmark for the human race—the moment when generative artificial intelligence began to change everything. Luckily, you happen to be living through it. Now what?
If you’re one of those rare people driven to add their intellectual energy to the relentless momentum of technological advancement, consider Loka your optimal leverage point.
Loka, a globally distributed tech consultancy based in Silicon Valley, is seeking a Senior Machine Learning Engineer to join our growing team. In this position you will serve as the primary specialist in designing and implementing machine learning solutions across multiple projects. Your expertise in ML algorithms and ML, DL and Foundation Models will empower us to develop robust, scalable systems and improve them over time. Ultimately we expect you to not just fit in with our ML crew but to elevate it to new heights.
Our technical teams help clients launch innovations that fix the climate, defeat cancer, improve agricultural efficiencies, teach kids to read and more. We work with all kinds of companies, from Silicon Valley startups to major household brands, always guided by our fundamental belief that mission matters.
We count more than 100 certified specialists, technical experts and PhDs among our teammates—committed Lokals who contribute to their brilliance not only to serving our clients but to mentoring junior colleagues as well. We work entirely remotely, test new ideas with an in-house incubator called LokaLabs, observe local holidays and take every other Friday off (really). We’re as proud of our culture as we are of our projects. You will be too.
The Role
- Take full responsibility for assigned tasks and projects, ensuring accountability for outcomes and results.
- Understand business objectives and develop models that help achieve them, along with metrics to track progress.
- Design and implement complex ML systems using classical machine learning, deep learning and foundation models, adhering to best practices.
- Lead client communications by gathering requirements, managing expectations and communicating deliverables effectively.
- Wrangle, explore and visualize data with a keen eye for issues requiring data cleaning, as well as differences in data distribution that may affect post-deployment performance.
- Analyze model errors and design strategies to overcome them.
- Deploy, maintain and upgrade ML models and pipelines.
- Follow Loka’s career track for growth by demonstrating technical excellence, innovation, autonomy, ownership, communication and teamwork.
- Drive architectural decisions and contribute to high-level planning and strategy.
- Direct report to ML leads.
- Stay updated with industry trends to incorporate cutting-edge techniques and tools into projects.
- Write and maintain technical documentation.
- Provide guidance and mentorship to junior ML engineers within the team.
- Collaborate cross-functionally with other teams (Data Engineering, DevOps, Backend) to ensure seamless integration of ML solutions.
- Continuously optimize models for performance, scalability and cost-effectiveness, especially within the AWS environment.
Required Hard Skills
- 4+ years of AI/ML engineering experience
- Bachelor’s degree in Computer Science or related
- Experience with Python, ML libraries and AI/ML frameworks (sklearn, PyTorch, HuggingFace, TensorFlow, Transformers, LangChain/LangGraph, Llamlndex, smolagents, strands-agents etc.)
- Experience building GenAI solutions through prompt engineering, fine-tuning and developing agents with common patterns like Agentic RAG, NLQ etc.
- Client-facing experience
- Familiarity with containerization and orchestration tools
Additional Requirements
- Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
- CV sent in English
Not Required but Nice to Have
- Experience with MLOps/LLMOps, preferably in AWS (e.g: Sagemaker/Bedrock), as well as standards tools (e.g. MLFlow, LangFuse)
- Experience in consultancy environments or startups, including working directly with clients, managing projects and adapting to different settings. - Plus
Required Soft Skills
- Curiosity: Strive to learn and grow into different industries with a modern tech stack.
- Autonomy and positivity: We’re a fully remote, globally distributed team.
- Teamwork: Enjoy a collaborative approach.
- Adaptability: Operate with a startup mindset and move at a startup pace.
Benefits
- Every other Friday off (26 extra days off a year)
- Remote-first culture
- Explore and Relocation programs (three months work abroad or full international relo)
- Paid sick days and local holidays
- Business English classes program
- Continuous Learning Support
- Fitness and/or Mental Health Subscriptions
- Access to LokaLabs™, our internal research and development program
- Defined career path
Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience.
Ready to apply?
Apply to Loka, Inc
Years from now, history will look back at this moment as a landmark for the human race—the moment when generative artificial intelligence began to change everything. Luckily, you happen to be living through it. Now what?
If you’re one of those rare people driven to add their intellectual energy to the relentless momentum of technological advancement, consider Loka your optimal leverage point.
Loka, a globally distributed tech consultancy based in Silicon Valley, is seeking a Senior Machine Learning Engineer to join our growing team. In this position you will serve as the primary specialist in designing and implementing machine learning solutions across multiple projects. Your expertise in ML algorithms and ML, DL and Foundation Models will empower us to develop robust, scalable systems and improve them over time. Ultimately we expect you to not just fit in with our ML crew but to elevate it to new heights.
Our technical teams help clients launch innovations that fix the climate, defeat cancer, improve agricultural efficiencies, teach kids to read and more. We work with all kinds of companies, from Silicon Valley startups to major household brands, always guided by our fundamental belief that mission matters.
We count more than 100 certified specialists, technical experts and PhDs among our teammates—committed Lokals who contribute to their brilliance not only to serving our clients but to mentoring junior colleagues as well. We work entirely remotely, test new ideas with an in-house incubator called LokaLabs, observe local holidays and take every other Friday off (really). We’re as proud of our culture as we are of our projects. You will be too.
The Role
- Take full responsibility for assigned tasks and projects, ensuring accountability for outcomes and results.
- Understand business objectives and develop models that help achieve them, along with metrics to track progress.
- Design and implement complex ML systems using classical machine learning, deep learning and foundation models, adhering to best practices.
- Lead client communications by gathering requirements, managing expectations and communicating deliverables effectively.
- Wrangle, explore and visualize data with a keen eye for issues requiring data cleaning, as well as differences in data distribution that may affect post-deployment performance.
- Analyze model errors and design strategies to overcome them.
- Deploy, maintain and upgrade ML models and pipelines.
- Follow Loka’s career track for growth by demonstrating technical excellence, innovation, autonomy, ownership, communication and teamwork.
- Drive architectural decisions and contribute to high-level planning and strategy.
- Direct report to ML leads.
- Stay updated with industry trends to incorporate cutting-edge techniques and tools into projects.
- Write and maintain technical documentation.
- Provide guidance and mentorship to junior ML engineers within the team.
- Collaborate cross-functionally with other teams (Data Engineering, DevOps, Backend) to ensure seamless integration of ML solutions.
- Continuously optimize models for performance, scalability and cost-effectiveness, especially within the AWS environment.
Required Hard Skills
- 4+ years of AI/ML engineering experience
- Bachelor’s degree in Computer Science or related
- Experience with Python, ML libraries and AI/ML frameworks (sklearn, PyTorch, HuggingFace, TensorFlow, Transformers, LangChain/LangGraph, Llamlndex, smolagents, strands-agents etc.)
- Experience building GenAI solutions through prompt engineering, fine-tuning and developing agents with common patterns like Agentic RAG, NLQ etc.
- Client-facing experience
- Familiarity with containerization and orchestration tools
Additional Requirements
- Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
- CV sent in English
Not Required but Nice to Have
- Experience with MLOps/LLMOps, preferably in AWS (e.g: Sagemaker/Bedrock), as well as standards tools (e.g. MLFlow, LangFuse)
- Experience in consultancy environments or startups, including working directly with clients, managing projects and adapting to different settings. - Plus
Required Soft Skills
- Curiosity: Strive to learn and grow into different industries with a modern tech stack.
- Autonomy and positivity: We’re a fully remote, globally distributed team.
- Teamwork: Enjoy a collaborative approach.
- Adaptability: Operate with a startup mindset and move at a startup pace.
Benefits
- Every other Friday off (26 extra days off a year)
- Remote-first culture
- Explore and Relocation programs (three months work abroad or full international relo)
- Paid sick days and local holidays
- Business English classes program
- Continuous Learning Support
- Fitness and/or Mental Health Subscriptions
- Access to LokaLabs™, our internal research and development program
- Defined career path
Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience.
Ready to apply?
Apply to Loka® Inc