SENIOR MACHINE LEARNING ENGINEER (PALANTIR FOUNDRY)
LONDON
UP TO £130,000
THE COMPANY
We’re looking for a Senior Machine Learning Engineer with experience with Palantir Foundry to join a company in the renewable energy space looking to use ML/AI to revolutionise how solar power can be used to combat climate change.
This company operates and manages solar power plants in a variety of environments around the world, powering households, businesses and communities with a constant, reliable and clean source of electricity. They focus our expertise and efficiency, to create value for our partners and the customers we supply. They delivers subsidy-free solar energy solutions to clients which are large-scale energy users.
THE ROLE
- The Senior Machine Learning (ML) Engineer will play a pivotal role in implementing a new data platform.
- The Senior ML Engineer will configure the platform, perform initial data integrations, and implement workflows and models for key use cases.
- They will ensure value is created using data analytics in cross organisation projects through their ability to consult with stakeholders as a subject matter expert on data & ML technologies at scale.
- The Senior ML Engineer is experienced in building scalable data pipelines and self-sufficient in getting the data needed to support ML capabilities.
- The Senior ML Engineer is responsible for the implementation of a new data platform and the roll out of analytics and reporting cases.
- They will draw on their Palantir Foundry experience in the development, deployment and maintenance of Foundry use cases, deliver operational support including issues investigation and remediation and develop and manage the data pipeline maintenance.
- The Senior ML Engineer will establish documentation of the platform build and deployment processes for support, maintenance and front-office knowledge management.
- Inquisitive and collaborative, they will play an important role in optimizing ongoing projects from a data perspective, training the wider data team on the use of the platform and evangelizing high quality software practices to create and maintain optimal data pipeline architecture.
SKILLS AND EXPERTISE
- Degree in Engineering, Mathematics, Statistics, Software Engineering, Physics, Computer Science or similar and an understanding of ML, Data Science or AI
- Experience of Palantir Foundry is a requisite along with proficiency in one or more programming languages, such as Python / PySpark / Spark SQL
- Familiarity with industry-standard build tooling, including Github
- Proficient in building reliable, secure and scalable CI/CD data pipelines using DevSecOps and MLOps playbooks that enable us to bring ML model use cases to production quickly and responsibly.
- Ability to consult with stakeholders as a subject matter expert on data & ML technologies at scale
- Experienced in building scalable data pipelines and you are self-sufficient in getting the data needed to support ML capabilities using technologies such as Kinesis, Kafka, Spark, Flink or other distributed data processing frameworks.
- A firm, clear understanding of fundamental ML concepts such as data drift, feature drift, data bias, anomaly detection methods and experience with Machine and Deep Learning toolkits such as TensorFlow, MXNet, Scikit-Learn, Theano, Keras and PyTorch.
- Experienced with AWS technologies such as Lambdas, Step Functions, Glue, IoT & Greengrass, DynamoDB, Redshift, S3, EC2, EKS, Kinesis, etc.
- An inquisitive and determined team player, with a highly analytical mindset and eagerness to solve technical problems with data structures and other technical tools
PACKAGE
Up to £130,000 + Benefits
APPLY
Please apply using the apply link on this page or get in touch with me directly on LinkedIn (Cam Heald) or via the Harnham website (Cameron Heald)
For more information about similar roles, please get in touch
KEYWORDS
Python, SQL, palantir foundry, renewable, energy, climate change, solar power, ML, data, data science, London
