Senior Machine Learning Engineer at Itaú, driving innovation with data and AI solutions. Collaborating across teams to implement robust machine learning architectures and ensure scalable deployments.
About the role
- AI/ML Engineer developing scalable systems for Generative AI models at Octopus Energy. Collaborating with cross-functional teams to build AI projects supporting the energy sector.
Responsibilities
- Design and Develop AI Platform Services - Build reusable, scalable services that expose GenAI models, knowledge retrieval pipelines, and agent workflows to application teams.
- Knowledge Base Development - Build and maintain knowledge retrieval systems including embedding generation, chunking, and strategies for database management.
- AI Ops, evals and observability - Setting up frameworks for monitoring and evaluating AI output quality (relevance, accuracy, safety, drift, cost) and platform observability (latency, cost, usage).
- Context Engineering - Design systems for prompt assembly: Create prompt templates, system prompts and guidelines for platform users.
Requirements
- **Deep Understanding of GenAI **- experience working with LLMs.
- **Data Product Development **- experience building Python-based applications and/or data products, with hands-on work in data-intensive and machine learning systems.
- **AI model evaluation and observability** - Experience of different ways of evaluating AI models and applications. Implementing logging, tracing, and monitoring in systems.
- **Context Engineering and Knowledge Grounding **- Experience of optimising and grounding GenAI models and applications through prompt design, RAG and knowledge base integration.
- **Software Development Practices **- Strong grounding in Git, testing, CI/CD frameworks.
- **Ability to thrive in a fast moving environment** - Dealing with ambiguity, setting clear priorities, and translating ideas into actionable plans.
Benefits
- 💰 Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!
- 🎉 Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We won best company to work for in 2022, on Glassdoor we were voted 50 best places to work in 2022 and our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We’ve also been placed in the top 10 companies for senior leadership
- 🎁 Visit our UK perks hub - Octopus Employee Benefits
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Machine Learning Engineer responsible for developing and deploying advanced ML and AI solutions at Zendesk. Collaborating with stakeholders to deliver impactful business outcomes using latest machine learning technologies.
Lead advanced machine learning model development and optimization at PayPal. Collaborate with teams to deploy scalable ML solutions in production environments.
Senior Machine Learning Engineer at Pivotal Health developing ML systems for healthcare reimbursement. Collaborating across teams to build and maintain reliable, production - grade machine learning systems.
Machine Learning Engineer working with Algorithm team on customer onboarding processes. Focus on execution and automation of models using computer vision and AI in sports industry.
Senior Machine Learning Engineer at Troveo designing and optimizing machine learning pipelines for AI video models. Collaborating with cross - functional teams to build scalable video data solutions.
AI/ML Engineer developing AI systems for data security at Nightfall. Collaborating with engineers and contributing to AI features.
Internship in cheminformatics and machine learning at Genesis Molecular AI, driving drug discovery projects and improving internal tools.
Software Engineer focusing on ML infrastructure for drug discovery at Genesis AI. Leading engineering efforts to enhance scalable platforms for generative modeling and large - scale simulations.
AI/ML Engineer developing machine learning systems for TymeX's digital banking platform. Collaborating across teams to enhance customer interaction and personalization through AI technology.