Job Title

Machine Learning Engineer (UK / EU Based) - Part-Time - Freelance - Full-Time

Job Description

We are an award winning smart building start-up with patented tech looking to disrupt our market and scale globally. We now have an amazing opportunity for a talented and experienced Machine Learning Engineer to make a difference in a rapidly progressing business.

We will consider applicants looking for full time, part-time and freelance roles.

Please note that this role is a remote role and you must currently be based in the UK / EU to apply.

The Role:

As a highly skilled Machine Learning Engineer, you will be contribute to developing our IoT data pipeline and analytics products and be responsible for:

Model Deployment:

• Deploy machine learning models developed in Python into production environments
• Ensure models are scalable, robust, and perform efficiently in production.
• Monitor and maintain deployed models, addressing any issues that arise.

Integration:

• Collaborate with software engineers to integrate machine learning models into applications and systems.
• Develop APIs and other interfaces to allow seamless interaction with deployed models.
• Ensure compatibility and smooth integration with existing infrastructure.

Automation and Optimisation:

• Automate the deployment pipeline to streamline the transition from development to production.
• Optimise model inference times and resource utilisation.
• Implement continuous integration and continuous deployment (CI/CD) practices for machine learning models.

Monitoring and Maintenance:

• Set up monitoring systems to track model performance and health in production.
• Implement logging and alerting mechanisms to detect and respond to issues promptly.
• Regularly retrain and update models to maintain accuracy and performance.

Collaboration and Documentation:

• Work closely with our team of data scientists and expert engineers to understand model requirements and specifications.
• Provide feedback and suggestions to improve model deployment processes.
• Document deployment processes, model performance, and system changes.

Restrictions

• Telecommuting is OK
• No Agencies Please

Requirements

The successful candidate will be a self-starter with a go-to attitude, plenty of initiative and a strong desire to pioneer new technology in building operations. Excellent problem solving abilities are also important in the role.

Key Skills and Experience:

• 2+ years as a Machine Learning engineer
• Proficiency in Python and Tensorflow -Strong knowledge of SQL databases, data warehousing and ETL processes
• Deep understanding of machine learning algorithms such as regression, classification, clustering and deep learning.
• Experience in developing and consuming RESTful APIs and MQTT -Understanding cloud platforms such as AWS or Azure.

Desirable skills and experience:

• Experience working with working with IoT devices and software -NodeRed
• Business Information and Visualisation tools -Monitoring -Time series data storage and analysis
• Scripting in Javascript and/or Python -STEM degree -Software engineering (Git, Agile, SQL)
• DevOps (IoT, Azure, AWS, Docker, Terraform) -Data engineering (ETL, pipelines)
• Stats, Data science, Machine Learning, Probabilistic programming (scipy, numpy, pytorch) -Building management systems and protocols

We are looking for someone with:

• Fluent English who can work the core hours of 10.00-16.00 BST
• You will also be expected to be hands-on with the hardware, be comfortable remote configuring on the command-line in embedded Linux, and be happy to travel to site installations to install and commission devices, and configure routing and networking when required
• Willingness to adapt to fast changing priorities and learn new skills in a dynamic startup environment -Desire to contribute to product roadmap and technology choices
• Open and respectful attitude to collaboration and knowledge-sharing in a cross-disciplinary team of experienced engineers and scientists

About the Company

BlockDox is the leader in data science powered optimisation of critical building services. Our AI-driven software, Aireavu, generates actionable insights, enhancing the performance of managed buildings. This helps organisations manage and exceed their sustainability goals, reduce operational wastage, tackle air quality and improve space utilisation. We have been deployed across a diverse range of customer sites in the UK and worldwide.

Why work with us?

We are a small talented and experienced team of engineers and data scientists, who are passionate about solving the biggest problems facing smart cities and urban mobility today.

You will be joining early in the development of a ground-breaking suite of proptech products and services underpinned by artificial intelligence, with the opportunity to be highly influential in the roadmap and progress to mentoring and management as the company grows.

Everyone is fully engaged in product development and future roadmap, from introducing new hardware, to improving processes, architecting our infrastructure, agreeing planning priorities.

We're a fully remote, friendly, highly motivated, international team of highly skilled engineers, scientists and innovators that have already won several awards together and are now looking to disrupt our market and scale globally.

As a start-up we are an extremely innovative organisation and can engage in R&D and try out new ideas live very rapidly. If you have an interest in IoT, smart cities, artificial intelligence, and scientific research in general you will find BlockDox a stimulating environment.

Benefits:

• Fully remote with optional occasional meetings in Central London and client sites in the UK and worldwide
• Flexible Working -Salary is negotiable, dependent on experience.

Application:

If you are looking for a new, exciting challenge where you can put your skills and experience to the test and help build one of the most exciting IoT businesses of a generation, get in touch. Please include a full CV when replying.

Contact Info

• Contact: Hiring Manager
• E-mail contact: talent@blockdox.com
• Web: https://www.blockdox.com