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Jobs/Machine Learning Engineer Role/Kraken - Senior Machine Learning Engineer
Kraken

Kraken - Senior Machine Learning Engineer

London - Hybrid2mo ago
In OfficeSeniorEMEACloud ComputingArtificial IntelligenceUtilitiesMachine Learning EngineerPythonSQLTeam ManagementLearning & Developmentscikit-learn

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Requirements

• Strong hands-on experience applying machine learning in production environments (industry or equivalent research experience) with a proven track record of writing maintainable, testable code in complex codebases. • Excellent Python skills and solid SQL experienceDeep understanding of ML fundamentals: data analysis, model selection, evaluation, deployment and monitoring • Experience working with ML / data libraries such as pandas, NumPy, scikit-learn, PyTorch or TensorFlowComfort working in a software-engineering-heavy environment (version control, CI/CD, code reviews, MLOps principles) • Experience building and operating systems on cloud infrastructure (AWS preferred) • Ability to clearly explain technical concepts and trade-offs to a wide range of stakeholders • Confidence working autonomously, asking questions early, and collaborating across teams and with clients • Experience building GenAI or NLP-based products • Exposure to LLM tooling, prompting, agents or evaluation techniques • Experience with Kubernetes, dbt, or modern data tooling • Experience running production experiments (A/B testing) • Experience mentoring junior colleagues and leading workstreams • We care more about how you think, learn and apply your skills than about a specific number of years of experience. • Languages: Python, SQL • ML / Data: pandas, NumPy, scikit-learn, PyTorch, TensorFlow, NLP tooling • Backend: Django, Django REST Framework, GraphQL • Cloud & Ops: AWS, CI/CD, Datadog, CloudWatch • Data: Postgres, Databricks • Client: React, htmx (for context) • AI Tooling: ChatGPT, Claude, Gemini, Cursor • Ways of working • Two-week sprints with planning and delivery tracked in Asana • Daily stand-ups, async collaboration via Slack, and regular knowledge-sharing sessions • Strong emphasis on autonomy, trust and a no-blame culture • Regular collaboration with other ML and platform teams across Kraken • We would prefer someone who can work in our London office on a hybrid remote policy of 1-2 days a week onsite. You do need to be able to work in the UK. • We're very excited to be growing our team. We're looking for skills and experience to help shape and define the future of not only our team, but the wider business at a global scale. If you're reading this and grinning, please apply! There are huge challenges to tackle, and we need amazing people who are keen to get stuck in. • Kraken is a certified Great Place to Work in France, Germany, Spain, Japan and Australia. In the UK we are one of the Best Workplaces on Glassdoor with a score of 4.7. Check out our Welcome to the Jungle site (FR/EN) to learn more about our teams and culture. • Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. If you have any specific accommodations or a unique preference, please contact us at [email protected] and we'll do what we can to customise your interview process for comfort and maximum magic!

Responsibilities

• Design, build and deploy machine-learning and AI-powered systems that solve real business and customer problems • Work end-to-end: from data exploration and experimentation through to production deployment, monitoring and iteration • Collaborate closely with product managers and engineers to shape solutions that are practical, scalable and maintainable • Lead deep technical investigations into complex or ambiguous problems, including critical bugs across multiple systemsHelp define and improve ML and engineering best practices within the team • Run and analyse experiments (e.g. A/B tests) to validate product and model improvements • Stay up to date with advances in ML, GenAI and developer tooling, and apply them thoughtfully to our products • Contribute to a culture of learning through knowledge sharing, internal talks and mentoring

Benefits

• Salary: Explicitly stated as part of the job posting benefits. • PTO (Paid Time Off): Mentioned directly within the bullet points under "Benefits." • Remote work options: Explicitly stated as a benefit within the bullet points under "Benefits." • Based on these rules and examining only what is provided in the text snippet above, here are the benefits explicitly mentioned for the Senior Machine Learning Engineer position at Kraken - Utilities in London (full-time/hybrid): • Salary: Explicitly stated as part of the job posting. • PTO (Paid Time Off): Mentioned directly within the bullet points under "Benefits." • Remote work options: Stated explicitly among other benefits listed in the text snippet provided.

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