Senior Machine Learning Engineer - Utilities

Kraken Technologies Limited; London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading technology firm in London seeks a Senior Machine Learning Engineer to join their growing ML/Data/AI team. This role involves designing and deploying machine learning solutions while collaborating with cross-functional teams. The ideal candidate has over 5 years of industry experience and a strong foundation in machine learning concepts. This position offers a hybrid work model with office presence in Oxford Circus two days a week.

Benefits

Employee benefits

Unique culture with autonomy

Opportunities for learning and groundbreaking projects

Qualifications

• 5+ years of hands-on experience applying machine learning to real-world business challenges.
• Solid foundation in ML fundamentals such as exploratory data analysis and model deployment.
• Experience with ETL and data modelling.

Responsibilities

• Design, build, and deploy machine learning systems to address business challenges.
• Collaborate with cross-functional teams to deliver ML products.
• Conduct A/B experiments and analyze results for continuous improvement.

Skills

Machine learning application

Data analysis

Python

SQL

Communication skills

Tools

AWS

TensorFlow

PyTorch

Job description

Overview

Senior Machine Learning Engineer - Kraken Utilities. You will join a new ML/Data/AI team building and scaling innovative technology for water and broadband utilities. The Kraken Utilities team is in growth and has signed multiple clients across utilities sectors. We are looking for a Senior Machine Learning Engineer to help scale, implement a good culture, and work on exciting tech challenges.

Our technology platform Kraken is a driven, AI-focused platform for energy management, with applications including CIS, billing, meter data management, CRM, and AI-driven communications. We employ a multi-disciplinary engineering team and operate with autonomous teams, using a range of tools and processes to design, build, test, and deploy software and ML products.

Responsibilities

• Design, build, and deploy cutting-edge machine learning systems to address complex business challenges
• Work collaboratively with cross-functional teams including product managers, software engineers, and other stakeholders to deliver ML products
• Stay at the forefront of technology: explore and evaluate new technologies to inspire the creation of new ML products and enhance existing ones
• Conduct A/B experiments, analyze results, and iterate to drive continuous improvement
• Embrace ambiguity as we scale; be prepared to adapt to changing responsibilities and focus areas

Qualifications

• 5+ years of hands-on experience applying machine learning to real-world business challenges within an industry setting
• Solid foundation in ML fundamentals: exploratory data analysis, model selection, pipeline development, deployment and monitoring
• Proficient in Python, SQL, and ML/DL libraries (pandas, numpy, scikit-learn, TensorFlow, PyTorch, HuggingFace, visualization tools, etc.); experience with ETL and data modelling
• Experience with cloud technologies, preferably AWS
• Strong communication skills to articulate technical concepts to diverse stakeholders
• Proficient in software engineering fundamentals including version control and CI/CD
• Nice to have: experience building NLP products; Kubernetes; dbt

Technology & Stack

• Data/ML stack includes: Python, SQL, pandas, NumPy, AWS, PyTorch, TensorFlow, NLP
• Server-side: Python, Django, Django-REST-framework, GraphQL
• Cloud/DevOps: AWS, Terraform, CI/CD
• Client-side: React, htmx, SASS; mobile apps with native code or React Native

Why you'll love it here

• Salary is discussed on call with recruiters; Kraken aims to match experience with the right salary and values a right fit over a fixed number
• Unique culture with autonomy, learning, and opportunities to work on groundbreaking projects
• Perks hub and employee benefits

Work Arrangement

This role requires a hybrid remote arrangement, with office presence in Oxford Circus 2 days a week. You must be able to work in the UK.

Locations, Inclusion & Privacy

Kraken is a certified Great Place to Work in multiple countries and an equal opportunity employer. We provide accommodation options during the interview process upon request. Our privacy notices govern the handling of personal data in connection with applications.

Note: This description reflects the responsibilities and qualifications for the role and is not a job offer or contract. For text about EEO rights and data privacy, refer to Kraken’s policies as provided on the application site.