Remote - London UK, United Kingdom We're an AI-driven hospitality tech platform helping vacation rental owners automate their revenue on Booking.com and Airbnb. We sit on Booking.com private API data, Airbnb channel data, and scraped competitive pricing across thousands of properties — and right now we barely use it. Our agent is rules-based where it should be data-driven, and our promotions engine has no model behind it. We're looking for a founding ML/Data Scientist to change that. You'll turn dormant data into a smarter agent and a compounding moat. The Role You'll be the first person to seriously dig into our data, find the signals that drive revenue, and work with engineering to make the agent act on them. Find what matters — dig through Booking.com, Airbnb, and competitive data to separate signal from noise. Separate cause from correlation — when a promotion drives a booking, was it causal? When occupancy drops, is it pricing, seasonality, or competition? We want rigorous answers, not guesses. Turn insights into revenue — translate findings into logic the agent can use, measurably better than a human's. Shape the data strategy — decide what to track, what to enrich, and where the highest-value opportunities are. Ship to production — this isn't a notebooks role. You'll work inside our Django + ClickHouse stack alongside the engineering team. Logistics Remote-first for UK-based candidates. Expect to be in London for WeWork sessions a few days a month, flexibly, for onboarding, planning, and product work. Interview Process 1. 30-min non-technical call with the CTO Take-home data challenge using a sample of real OTA data 1-hour deep dive on your submission with the founding team In-person meeting with both founders Offer Why This Role Unique data — Booking.com private API data, Airbnb channel data, and scraped competitive pricing. This dataset doesn't exist at most companies. Real impact — your models drive revenue decisions for thousands of properties. High equity for our stage. A compounding moat — every property we add makes the data richer and the models better. Salary £70k–£100k · Equity 0.5%–1%. Who You Are A real data scientist who reaches for statistics and experiments first, and knows when a result is significant versus noise. Strong with time series. Causal by instinct — you don't confuse correlation with causation. You can design holdouts and A/B tests, and reason about confounders when a clean experiment isn't possible. Comfortable in the mess — real OTA data is dirty, sparse, and seasonal. You wrangle it, find the signal, and build features that predict revenue. Fluent in modelling — forecasting, uplift and causal models, and the judgement to pick the simplest thing that works. Ships to production — not a notebooks role. You write clean, deployable Python (pandas, NumPy, scikit-learn) and get your models live in our Django and ClickHouse stack. A product thinker who cares about revenue impact, not what's technically interesting. AI-first — you use AI coding tools with multiple agents to ship faster, ideally pushing into self-learning ML or agentic workflows. If you don't already use frontier AI tools, this isn't the role for you. Skills: Python · pandas · NumPy · scikit-learn · Time Series · Causal Inference · Forecasting · Experimentation · PostgreSQL · ClickHouse · Django · AI agents

LATAM, LATAM, LATAM Crehana is a B2B SaaS platform powered by AI that delivers integrated talent management solutions to clients across Latin America — skills, learning, performance, and career development in one place. Our mission: make people development universal. We're looking for a hands-on Tech Lead. Someone who leads by example: you set the technical direction, mentor your team, and when the moment calls for it, you roll up your sleeves and write code. What you'll own: Architecture and technical decisions for scalable backend services Code quality standards, code reviews, and CI/CD practices Mentorship and growth of your engineering team Collaboration with Product and DevOps to ship impactful features Stability, security, and evolution of our platform Tech stack: Python + FastAPI (required) Docker / Kubernetes / microservices AWS, GCP, or Azure PostgreSQL, MySQL, MongoDB REST APIs / GraphQL (nice to have) Terraform (nice to have) Apply: https://www.crehana.com/p/crehana/jobs/2ca97417-9f01-48a6-a426-7950565e7672/ We're looking for a hands-on leader who still writes code when it matters. This could be someone who has already led engineering teams working with Python and modern backend stacks — or an experienced engineer with deep technical expertise who is ready to step into a leadership role for the first time. Must-have Experience leading engineering teams (junior and mid-level), or a seasoned engineer ready to take that next step Strong Python proficiency with FastAPI Hands-on experience with microservices, Docker, and Kubernetes CI/CD pipelines and automated testing practices SQL and NoSQL databases: PostgreSQL, MySQL, MongoDB Cloud platforms: AWS, GCP, or Azure Security awareness and compliance standards Strong communication, collaboration, and problem-solving skills Comfortable with agile methodologies (Scrum, Kanban) Nice to have RESTful API design and/or GraphQL Terraform for infrastructure as code

Bangalore, Pune, India We are seeking a highly skilled and innovative Python / AI Engineer to join our team and help us build the next generation of AI-powered enterprise systems. We are actively investing in LLMs, agentic workflows, and applied AI systems, but much of this potential is still untapped. Today, our AI initiatives are fragmented—PoCs exist in silos, LLM integrations are early-stage, and there is no unified intelligence layer across the application landscape. We’re looking for someone who can change that. You will sit at the intersection of engineering, R&D, and business teams, turning AI experimentation into production-grade systems that deliver measurable impact. This is not a “model training-only” role—you will be expected to design, build, and ship end-to-end AI solutions. The Role You will be the first deep technical owner responsible for turning our AI ambition into real, working systems that drive business outcomes. Build and productionize AI systems — Design and implement LLM-powered applications, AI agents, and intelligent automation workflows that integrate directly into our core product ecosystem. Develop PoCs and scale them into production — Rapidly prototype AI/ML solutions, validate feasibility with stakeholders, and evolve them into scalable, reliable services. Integrate LLMs into real business workflows — Work with APIs, orchestration frameworks, and model providers to embed LLM capabilities across applications (chat, reasoning, summarization, retrieval, and automation use cases). Design intelligent systems, not just models — Focus on end-to-end architecture: data flow, prompt orchestration, memory, evaluation, guardrails, and feedback loops. Bridge R&D and engineering — Translate research ideas and business problems into working AI systems that can be deployed, monitored, and improved iteratively. Drive AI adoption across the organization — Collaborate closely with product, engineering, and business stakeholders to identify high-impact opportunities where AI can meaningfully improve efficiency or decision-making. Skills required: 1.Minimum 8+ years of experience in AI/ML development. 2.Advanced proficiency in Python. 3.Strong understanding of AI frameworks (e.g., TensorFlow, PyTorch). 4.Expertise in at least one LLM (e.g., GPT, Claude, LLaMA). 5.Solid foundation in Data Science and statistical modeling. 6.Experience with Agentic Workflows using LangChain-based agents. 7.Hands-on experience with LangGraph (e.g., hackathons or MCPs). 8.Deep understanding of fine-tuning techniques for LLMs. 9.Hands-on experience with Transformer architecture and its evolution from earlier models. Responsibilities: 1.Design and develop PoCs and present them to business stakeholders. 2.Build and deploy innovative AI solutions using state-of-the-art models. 3.Integrate LLMs into existing and new applications. 4.Develop new functionalities within R&D applications. 5.Promote and implement best process practices across AI development workflows.

Illinois, Chicago, United States We are looking for an experienced Python / DevOps engineer to complete a one-time private setup of a Chatterbox-based voice-cloning system. The role includes deploying the model in a secure private environment, building a simple internal web interface for non-technical users, and ensuring that all voice samples and generated audio remain inside our own infrastructure. This should be a straightforward project for someone experienced with Python, server deployment, and basic web application setup. Job requirements Strong experience with Python and Python environments. Experience deploying AI or machine-learning models on servers. Basic web development skills to build a small internal web page or API. Understanding of security and access control for internal tools. Ability to work independently on a one-time setup project. Clear communication and ability to provide simple handover documentation. Experience with DevOps, server deployment, or internal tools is a plus.

REMOTE, REMOTE As a software engineer, you'll join a team tackling complex challenges in automating, streamlining, and scaling engineering and support workflows through the development of critical APIs and applications. This role requires actual engineering thinking to build robust internal systems. Ready to tackle complex engineering challenges that directly impact how our engineering and support teams work? Who we are NOT looking for: Agencies People who are looking for a side “hustle” or are starting their own business To apply: please fill out this form: https://forms.clickup.com/2257368/f/24wer-176357/RX6L92YGBHLB386KYI Additionally, please start your cover letter with: “I AM A PYTHON ENGINEER FOCUSED ON DEVOPS AND INTERNAL TOOLS” (in ALL CAPS) Required Skills: Core Engineering Strong Python experience Test-driven development (TDD) and pytest proficiency Familiarity with, and adherence to, PEP guidelines and Python coding standards Thoughtful development centered around performance, deeply optimized code, and proper code organization Bug identification and resolution with local testing Infrastructure & DevOps Experienced with Linux at the terminal level RESTful/CRUD API development and design best practices Designing and implementing resilient, internal-facing APIs and infrastructure tools Security practices and vulnerability prevention Git version control with branching strategies Databases PostgreSQL experience: schema design, optimization, advanced queries Professional Requirements English fluency (written/verbal) Previous experience working for a US-based company