Do you want to help design new ways of processing Enterprise scale data at speed, learn leading edge technologies, work on complex big-data algorithms, shape processes into a growing engineering organisation, all while helping to scale a Series D rocket ship to the next level?
Then welcome to Enable 🚀
What is Enable:
Enable is the SaaS rebate management platform that drives trusted relationships between B2B trading partners. We create money for our customers by providing them with the technology solutions to automatically detect and report on rebate due. Customers configure their deals, Enable ingests and process all their sales transactions, allowing them to find rebates they are owed that they would otherwise have missed.
All this has major challenges, we process enormous amounts of data in very short time frames, performing billions of calculations per customer and storing it all in Enterprise scale databases. We provide customers with reporting, deal editing and collaboration capabilities. There are no standard techniques for doing this, we are the market leader, and we create new solutions every day.
We launched our flagship product in 2016 and have raised $276m to date in Series A, B, C & D funding. We are continually growing our client base, product portfolio and hyper-talented team.
Do you want to leverage your expertise and experience in a vibrant environment where teamwork, creativity, diversity, inclusivity, ownership, and technical excellence are expected and enjoyed? Enable is seeking a Machine Learning Engineer to join our dynamic and innovative team. You will work on designing, developing, and deploying ML models that enhance our SaaS rebate management platform.
This is an exciting role that offers a competitive remuneration package with excellent career and growth prospects. An opportunity to join and help grow an organisation that is using modern technology to positively impact people and businesses all over the globe. You will work collaboratively with other engineers, from associates to principals, applying your technical and problem-solving capabilities to scale our data platform.
What we’re asking you to do!
You’ll work as a senior voice within the Data team to uphold and evolve common standards and best practices, collaborate to ensure that our solutions are complementary and not duplicative.
By going above and beyond implementing new features, we focus on customer experience, building high-quality, secure, and scalable software. You'll use your full range of skills and further develop them and those of your colleagues, including:
· Problem-solving, and the ability and confidence to hack their way out of tight corners.
· Peer code reviews.
· Ability to prioritise and meet deadlines.
· Attention to detail and solid written and verbal English communication skills.
· Willingness and an enthusiastic attitude to work within existing processes / methodologies.
We want all our people to be whoever they want to be and are committed to creating a truly inclusive culture at Enable. We believe that bringing your full authentic self to work helps us to build the best quality software, and by creating a truly diverse workforce we bring innovation into everything we do.
In this role, you will lead the design, engineering, and deployment of scalable machine learning pipelines and systems that drive our product innovation. You will work closely with data scientists to translate machine learning research into robust, production-ready models, collaborating with engineers and researchers to implement end-to-end solutions that enhance our SaaS offerings.
This is a senior technical role focused on the engineering and operational aspects of our SaaS products, tailored for a highly skilled, ownership-driven ML Engineer. While model development is a key part of your role, you’ll be expected to engage in all aspects of our engineering efforts, including infrastructure design, system optimization, CI/CD pipelines for ML, and MLOps practices. You will play a pivotal role in technical leadership, mentoring, and driving continuous improvement across the engineering team.
What we’re asking you to bring!
You’ll have focused professional experience as an ML Engineer, particularly in deploying models in Cloud-based SaaS environments. Ideally, you’ll have at least 5 years of experience, but we focus on skill and ability, not tenure.
· 5+ years of experience in machine learning engineering, software engineering, and MLOps.
· Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or similar.
· Extensive experience with cloud platforms (Azure, AWS, GCP) and implementing MLOps practices for automated, scalable, and reproducible ML pipelines.
· Proven track record of engineering and deploying ML models and solutions in production environments, including monitoring, scaling, and maintaining model performance.
· Strong analytical and problem-solving skills with an engineering-oriented mindset.
· Excellent communication skills and ability to work in a collaborative, fast-paced engineering environment.
What our day looks like!
· Design and engineer scalable machine learning pipelines and systems to integrate and deploy models efficiently.
· Collaborate with data scientists to optimize and productize ML algorithms and models, ensuring they are production-ready.
· Lead the deployment and operationalization of models in production, implementing CI/CD and ensuring robustness, scalability, and fault tolerance.
· Continuously monitor and enhance the performance and reliability of deployed models, implementing A/B testing, versioning, and rollback strategies.
· Mentor junior team members, provide technical guidance, and contribute to the overall engineering strategy of the team.
Enable Global Inc provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. Enable complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Enable expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability or veteran status. Improper interference with the ability of Enable employees to perform their expected job duties is absolutely not tolerated.
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