T1 Heap Β· 4/5 awaiting_approval
Ben β Head of Product & Engineering
β ben@nc-squared.com
With Heap operating as a product analytics SaaS in Manchester, this candidate's Python/Django/AWS backend experience and proven track record building an AI NLP pipeline that classified 100K+ records at scale maps directly onto the kind of data pipeline and classification engineering challenges Heap's team will recognise as core to their product.
Day 0 email Β· Backend dev with AI NLP pipeline experience, built for product analytics scale
Hi Ben,
I have a mid-level Python/Django/AWS backend developer who has spent four years at PAYA building within a SaaS and data analytics environment, and one piece of work stands out as directly relevant to Heap.
They designed and shipped an AI NLP pipeline that classified over 100,000 records at scale, cutting manual processing effort by 40%. That is not a side project, it is production engineering on a data classification problem that sits close to the core of what a product analytics platform needs to get right.
The wider stack covers FastAPI, PostgreSQL, and Docker alongside the Python/Django/AWS foundation, so the tooling fits naturally.
I have not shared your details with them yet. If the profile sounds worth a conversation, I can send the CV over and give you the full picture, including availability and salary expectations.
Worth a look?
Sam
Cathcart Technology
T1 Attest Β· 4/5 awaiting_approval
Asitha β Chief Technology Officer
β asitha@askattest.com
Attest's scale-up SaaS platform handles large-scale survey data and analytics pipelines where this candidate's hands-on experience building an NLP classification system across 100K+ records in Python and Django maps directly to the kind of data engineering challenges Asitha's team is likely navigating as they grow.
Day 0 email Β· Python/Django backend dev, NLP pipeline background, potential fit for Attest
Asitha,
I have a mid-level Backend Developer currently at PAYA who I think could be a strong fit for what Attest is building.
The specific reason I'm reaching out to you rather than sending this broadly: they've spent the last four years working in Python, Django, FastAPI, AWS and PostgreSQL on SaaS and data analytics products. More concretely, they designed and built an AI NLP pipeline that classified over 100,000 records and reduced manual processing effort by 40%. That kind of hands-on data pipeline work at scale feels directly relevant to the engineering challenges a platform like Attest faces as survey volumes and analytics complexity grow.
They're mid-level, contracting or permanent considered, and their full CV and rate expectations are ready to share on request.
Worth a conversation?
Sam
Cathcart Technology
T1 Multiverse Β· 4/5 awaiting_approval
Aaron β Director of Engineering
β aaron@multiverse.io
Multiverse's Python/Django/AWS backend stack is a direct match for this candidate's day-to-day tooling, and their edtech data platform would be a natural home for someone who has already built production-grade NLP pipelines processing over 100,000 records at scale in a SaaS environment.
Day 0 email Β· Python/Django backend dev, production NLP at scale
Aaron,
I represent a mid-level backend developer currently at PAYA, with four years of commercial experience across Python, Django, FastAPI, AWS, PostgreSQL, and Docker. The stack is a direct fit for what Multiverse runs day-to-day.
What makes them worth a conversation is the applied ML work. They designed and shipped a production NLP pipeline that classifies over 100,000 records automatically, reducing manual effort by 40%. That kind of data engineering experience feels genuinely relevant to what Multiverse is building on the edtech and analytics side, rather than being something they would need to develop from scratch in the role.
They are mid-level, SaaS-native, and have been working within a data-heavy product environment throughout their time at PAYA. Salary expectation and full background are on their CV, which I can send across if the profile is of interest.
Worth a look?
Sam
Cathcart Technology