Tech Lead – ML, AI Tools
Kraken
full-time
Posted on:
Location Type: Hybrid
Location: London • 🇬🇧 United Kingdom
Visit company websiteJob Level
Senior
Tech Stack
KubernetesPythonPyTorch
About the role
- Lead and scale a cross-functional team of Machine Learning Engineers and Software Engineers.
- Drive the development of intelligent tools for customer and water/energy specialists (e.g., LLM-based Answer Bots) and end-users (e.g., VoiceBots) that improve service efficiency.
- Guide the team in delivering predictive ML models for utility clients—such as water leak detection, churn prediction and contact propensity — ensuring robustness, explainability, and client value.
- Set the technical vision for AI & analytics products while being hands-on in system design, architecture reviews, and high-impact technical decisions.
- Champion experimentation and fast iteration to explore new use cases with GenAI and classic ML, staying at the forefront of emerging technologies like RAG and agentic workflows.
Requirements
- Proven leadership experience managing multi-disciplinary engineering teams (6-8 engineers).
- Understanding of the ML lifecycle—from data ingestion and feature engineering to model training, evaluation, and deployment in production.
- Hands-on experience deploying LLM-based systems (e.g., RAG pipelines, tool calling, fine-tuning, RLHF) and integrating them into real-world applications.
- Experience developing customer-facing AI tools, voice-based interfaces, or agent augmentation systems is highly desirable.
- Strong architectural skills and the ability to make pragmatic decisions between prototypes and production-grade systems.
- Familiarity with modern AI/ML stacks: Python, Kubernetes, PyTorch, LangChain, vector databases, etc..
Benefits
- Professional development opportunities
- Flexible work arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Machine Learningpredictive modelingdata ingestionfeature engineeringmodel trainingmodel evaluationmodel deploymentLLM-based systemsarchitectural designAI tools development
Soft skills
leadershipcross-functional team managementdecision makingexperimentationiterationcommunicationclient value focuspragmatic decision making