Senior Machine Learning Engineer - Conversational AI in London

Senior Machine Learning Engineer - Conversational AI in London

London Full-Time 66150 - 80850 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the design and development of impactful machine learning models for customer support.
  • Company: Join Deliveroo, a dynamic tech company transforming the food delivery experience.
  • Benefits: Competitive salary, equity options, flexible working, and opportunities for rapid career growth.
  • Other info: Collaborative culture with a focus on diversity, equity, and inclusion.
  • Why this job: Make a real impact in a fast-paced marketplace while solving complex problems.
  • Qualifications: Experience in ML engineering, Python coding, and deploying AI models.

The predicted salary is between 66150 - 80850 £ per year.

Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale.

We’re looking for a Senior Machine Learning Engineer to join our London team. In this role, you’ll help shape the decision-making systems that directly impact customer experience, trust, and fairness at Deliveroo. This role is based in our London office with a hybrid setup, typically 3 days in the office.

What You’ll Be Doing

You’ll be joining the Care team. Care is an area with significant opportunity and real customer impact; you’ll take ownership of existing models and help define strong ML foundations in spaces that are still evolving, from LLM-powered automation to customer compensation logic. Here’s what your day-to-day might look like:

  • Own the full ML lifecycle: Lead the design, development, and productionisation of machine learning models used in customer support and high-stakes decision systems.
  • Architect for reliability: Build robust monitoring, evaluation, and alerting frameworks to detect model underperformance, drift, or unexpected behaviour in real-time.
  • Collaborate on product strategy: Partner closely with Product Managers to turn ambiguous customer problems into robust, scalable ML solutions.
  • Drive technical excellence: Provide technical leadership in areas with unclear ownership, setting the gold standard for ML quality, reliability, and maintainability.
  • Bridge science and engineering: Work with data scientists and engineers across the global organisation to embed models into high-performance, scalable systems.

What You’ll Need to Thrive

Essential

  • Significant experience as an ML Engineer or Data Scientist, with a proven ability to write high-quality production code in Python.
  • Demonstrated ownership of productionising Generative AI workstreams or Agentic AI projects, including a deep understanding of LLMs, transformers, and fine-tuning.
  • Proven ability to deploy and manage models using modern infrastructure tools such as Docker, Kubernetes, and CircleCI.
  • Strong foundational knowledge of traditional ML and evaluation techniques, balanced with a bias for simplicity and measurable business impact.
  • A collaborative mindset with experience mentoring peers and a drive to solve complex, real-world problems at scale.

Nice to Have

  • Experience with evaluation harnesses and frameworks specifically designed for Generative AI.
  • Familiarity with observability, monitoring, and safety techniques for deployed GenAI systems.
  • Experience working with strongly typed languages, such as Go.

Why Join Us?

At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:

  • Solve meaningful problems at real scale.
  • See your impact, fast.
  • Grow through challenge and ownership.
  • A culture built for builders.
  • Share in the success you help create.

Our Global Structure

Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.

Diversity, Equity and Inclusion

At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.

If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!

Senior Machine Learning Engineer - Conversational AI in London employer: Jackalope Digital LLC

MoonPay is an exceptional employer that fosters a dynamic and collaborative work culture in the heart of London. With a strong emphasis on employee growth, you will have the opportunity to lead innovative projects in real-time fraud detection while working alongside talented professionals. The company offers competitive benefits and a commitment to high-velocity delivery, making it an ideal place for those seeking meaningful and rewarding employment.

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Contact Details:

Jackalope Digital LLC Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Machine Learning Engineer - Conversational AI in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Jackalope Digital LLC or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

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We think you need these skills to ace Senior Machine Learning Engineer - Conversational AI in London

Machine Learning
Python
Generative AI
LLMs
Transformers
Fine-tuning
Docker

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Jackalope Digital LLC.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Jackalope Digital LLC and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Jackalope Digital LLC

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Jackalope Digital LLC uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.