Machine Learning Engineer

Machine Learning Engineer

Full-Time 60000 - 80000 € / year (est.) No home office possible
Condukt

At a Glance

  • Tasks: Develop and implement cutting-edge ML/AI solutions for our innovative platform.
  • Company: Join Condukt, a next-gen compliance platform transforming financial services.
  • Benefits: Competitive salary, equity package, private health insurance, and top-notch equipment.
  • Other info: Flat hierarchy with direct access to founders and excellent career growth opportunities.
  • Why this job: Shape the future of AI while tackling meaningful problems with real-world impact.
  • Qualifications: 3+ years in machine learning, strong Python skills, and a collaborative mindset.

The predicted salary is between 60000 - 80000 € per year.

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.

What you'll do

  • 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 and 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.

What you bring

  • 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.

Our Offer

  • Tackle meaningful problems with real-world impact.
  • Competitive salary and equity package.
  • Join us onsite in our offices in London or Porto.
  • Flat hierarchy with direct access to founding team.
  • Top-of-the-line equipment.
  • Private health insurance, plus sick and compassionate leave as needed.

About us

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.

If you have any questions, please reach out to hiring@condukt.co.

Machine Learning Engineer employer: Condukt

Condukt is an exceptional employer for a Senior Machine Learning Engineer, offering a dynamic startup environment where innovation thrives. With a flat hierarchy and direct access to the founding team, employees are empowered to shape the engineering culture and tackle meaningful problems that have real-world impact. Located in vibrant London or Porto, the company provides competitive salaries, equity packages, and top-of-the-line equipment, alongside opportunities for professional growth and collaboration with a talented team from leading tech companies.

Condukt

Contact Detail:

Condukt Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Machine Learning Engineer

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving NLP. This will give you an edge and demonstrate your hands-on experience to potential employers.

Tip Number 3

Prepare for technical interviews by practising coding challenges and system design questions. Use platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with the types of problems you might face.

Tip Number 4

Apply through our website! We love seeing passionate candidates who are eager to join our team. Tailor your application to highlight how your experience aligns with our mission and the role's requirements.

We think you need these skills to ace Machine Learning Engineer

Machine Learning
Natural Language Processing
Python
AI Project Implementation
Prompt Engineering
Fine-Tuning
Multi-Agent Frameworks

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Machine Learning Engineer role. Highlight your experience in AI projects and production-level Python, as these are key for us.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about building AI solutions. Share specific examples of how you've tackled complex problems in the past, and how you can bring that expertise to our team.

Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to include them. We love seeing practical applications of your skills, especially in areas like NLP and model deployment.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen to join our team!

How to prepare for a job interview at Condukt

Know Your ML Fundamentals

Brush up on your machine learning fundamentals, especially in natural language processing. Be prepared to discuss your experience with AI tools and models, as well as any specific projects you've worked on that relate to the job description.

Showcase Your Problem-Solving Skills

Prepare to discuss how you've tackled complex problems in previous roles. Think of examples where you used modern AI techniques to deliver innovative solutions, and be ready to explain your thought process and the outcomes.

Demonstrate Collaboration

Since this role involves working closely with a team, be ready to share experiences where you collaborated effectively. Highlight your communication skills and how you’ve contributed to a positive team dynamic in fast-paced environments.

Ask Insightful Questions

Prepare thoughtful questions about the company's vision for their ML/AI technology and how you can contribute. This shows your genuine interest in the role and helps you understand if the company culture aligns with your values.