Machine Learning Engineer
Condukt · London ·
- Work mode
- Hybrid
- Seniority
- Senior
- Category
- ML ai
- Experience
- 3+ years
Condukt · London ·
Condukt is the next-generation compliance platform for financial services, offering an agentic solution powered by real-time data for business identity.
Always-on and policy-aware, Condukt enables financial institutions and fintechs to gain actionable insights into business verification - unlocking growth, increasing efficiency, and strengthening compliance.
We were founded by former operators and builders with deep experience in banking, payments, and lending. Today, our team spans across London and Porto, bringing together engineers, product owners, and operators from companies like Revolut, Meta, Block (Square), SumUp, American Express, Yandex, and Marshmallow.
Trusted by leading regulated entities, including Wise, Tide, Mollie, Shift4, Flatpay, and myPOS, Condukt is backed by top investors, including Lightspeed Venture Partners and MMC Ventures.
We are looking for a Senior Machine Learning Engineer (Natural Language Processing) to join our team. You will be an early shaper of the design and architecture of the ML/AI technology at the core of our platform, and work closely with the founding team to deliver 10x value to our clients.
As an early-stage startup, we pride ourselves on our ability to roll up our sleeves and build from scratch. You’ll ship code frequently, iterate quickly based on feedback, and still meet the stringent security, performance, and uptime requirements our clients expect.
We all love to build, scale, and grow: our leadership team has a strong track record of building products, scaling teams, and driving growth, and our ambitious engineers join us from leading tech companies and unicorns.
If you’re passionate about turning complex problems into simple, elegant solutions, this role is for you. You’ll have a meaningful opportunity to shape our engineering culture from the ground up.
Develop ML/AI functionality at the core of our platform, owning end-to-end design and implementation
Solve abstract, open-ended problems using modern AI tools and models across the entire data and engineering stack, working closely with a highly capable team
Train, evaluate, and deploy models for intelligent document processing, web data parsing, classification, search, and matching
Design and run experiments to explore new approaches, models, and data usage that improve our agents/LLMs, balancing innovation with pragmatism and clear trade-offs
Ensure our AI products evolve quickly and safely by applying strong development and testing practices
Continuously improve our data science and AI practices, helping define standards, processes, and tooling that align with industry best practices
You are an effective and self-driven builder
3+ years of experience as a machine learning/AI engineer in product-centric settings
Experience in production-level Python
Experience implementing AI projects (prompt engineering, fine-tuning, multi-agent frameworks, LLMs, conversational AI)
Strong understanding of modern AI tools and approaches
Bachelor's or Master's degree in Computer Science or a related field
Excellent communication skills and ability to work collaboratively in a fast-moving environment
Tackle meaningful problems with real-world impact
Competitive salary and equity package
Join us onsite in our offices in London or Porto (2 days a week)
Flat hierarchy with direct access to founding team
Top-of-the-line equipment
Private health insurance, plus sick and compassionate leave as needed
If you have any questions, please reach out to [email protected].