Reads like a ML Engineer role: putting models into production.
BR: Sao Paulo - BTC Technology
Open 5 months, first seen by us 165 days agoThis role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more}.Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Design and build LLM-based and classical ML models into production AI services
Define and implement reusable AI platforms and tools such as chatbots and AI search
Join embedded projects with business stakeholders to deliver AI solutions quickly
Evaluate and integrate LLMs, vector DBs, RAG and AI agents into applications
Document and share data science best practices and tooling libraries
Design and develop, LLM based and classical ML models into production-grade AI applications and services
Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise.
Participate in multi-functional team initiatives—embedded projects with business stakeholders—to rapidly build and deploy AI solutions
Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications.
Contribute to the internal knowledge base, tooling libraries, and documentation to scale data science best practices across the organization.
Open 5 monthsWe first saw this posting 165 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 165
Up longer than most. Similar jobs usually come down between day 6 and day 70.
Well past BP’s usual: its jobs come down by about day 13.
From 4,442 similar postings that came down, and 125 of BP’s. Coming down is not always a hire.
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Deep experience with both classical ML models (e.g. Regression, forecasting, and basic neural networks) as well as hands on experience using large language models. - Strong programming skills in Python (preferred), Java, or similar languages. - Strong problem-solving skills and the ability to balance scientific rigor with delivery speed.
- Experience integrating machine learning models into production systems (e.g., LLMs via APIs, fine-tuning, RAG patterns, embeddings, agents and crew of agents etc.). - Solid understanding of software architecture, cloud infrastructure (AWS, Azure, or GCP), and modern DevOps practices. - Ability to move quickly while maintaining code quality, test coverage, and operational excellence. Preferred:
This position is a hybrid of office/remote working Skills: Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more}. 
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- Strong problem-solving skills and the ability to balance scientific rigor with delivery speed. - Hands on experience with AI/ML tools such as LangChain, Haystack, Hugging Face, Weaviate, or similar ecosystems. - Experience integrating machine learning models into production systems (e.g., LLMs via APIs, fine-tuning, RAG patterns, embeddings, agents and crew of agents etc.).
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Yes. We’ve followed 4 other Senior Data Scientist jobs there since July 2026. 4 came down, usually after about 47 days.
Large employers often post one title for several teams, so these can be separate openings.
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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Technology
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Job Description:
We’re looking for Data Scientists who think holistically, automate relentlessly, and are fluent in the fast-moving world of AI tooling and infrastructure—but also grounded in disciplined engineering principles.
Our AI organization is building high-impact AI-powered applications that deliver real business value at speed. As a Senior Data Scientist, you’ll play a critical role in building and deploying scalable AI-powered applications through solid analytical expertise and software engineering excellence combined with pragmatic use of modern AI capabilities. This is a role for seasoned data scientists who are excited about applying AI in practical and scalable ways.
We’re looking for individuals who thrive at the intersection of disciplined machine learning, software development, and modern AI applications. You should be comfortable working across the full lifecycle of a product—from ideation and architecture to deployment and automation—while navigating ambiguity and driving toward execution. Strong systems thinking, ownership attitude, and the ability to ship value fast are essential.
Job Responsibilities
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Why join us
At bp, we support our people to learn and grow in a diverse and high-reaching environment. We believe that our team is strengthened by diversity. We are committed to fostering an inclusive environment in which everyone is respected and treated fairly.
There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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Legal Disclaimer:
We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.
If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.
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BR: Sao Paulo - BTC Technology
No travel is expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more}.
No clear work-authorization passage found. Eligibility is unconfirmed.