Deep learning engineer Work, Jobs in Purley Way, Gtl (with Salaries)

Senior Machine Learning Engineer - Personalisation
Deliveroo —London
- Full-time
- Machine learning
- Communication skills
- Python
Senior Deep Learning Research Engineer
Greyparrot —London
- Full-time
- Hybrid work
- Master's degree
- Python
- Sick pay
Climate Data Scientist
Institutional Shareholder Services —London
- Full-time
- English
- Analysis skills
- Bachelor's degree
Global Learning Experience Design Senior Manager – AI-powered Upskilling Campaigns
Boston Consulting Group —London
- Full-time
- English
- Master's degree
- Project management
2d
Sports Betting Trading Analyst
Longshot Systems Ltd —London
- Monday to Friday
- Hybrid work
- Data analysis skills
- Machine learning
- Communication skills
- Gym membership
Quick apply
AI Research Engineer (Agentic Post-training) - 100% Remote Worldwide
Tether Operations Limited —London
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Software Engineer, Junior / Graduate (m/f/*)
Quaisr —London
- £45,000 - £55,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- AWS
- Annual leave
Futures E-Trading Technology Project and Development Lead
Citi —London
- Full-time
- Hybrid work
- Project management
- Organisational skills
- Leadership
- Annual leave
- Employee assistance programme
Data Science Internship
G-Research —London
- Doctoral degree
- Data analysis skills
- Master's degree
- Annual leave
3d
Data Science and AI Trainer (Government)
QA —London
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Employee assistance programme
Machine Learning Engineer, Consumer Gen AI Product Engineering
Snapchat —London
- Full-time
- Hybrid work
- Computer Science
- C++
- Maths
5d
Graduate Machine Learning Researcher - Chicago
IMC Financial Markets —London
- £300,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Machine learning
- Annual leave
Machine Learning Engineer
kingfisher —London
- Full-time
- Hybrid work
- SQL
- Machine learning
- Python
Senior Machine Learning Engineer
Lunio —London
- £70,000 - £90,000 a year
- Full-time
- Hybrid work
- SQL
- AWS
- Machine learning
AI Research Engineer (Pre-training - LLM & Multi-Modal)
Tether Operations Limited —London
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Staff Machine Learning Scientist - Core ML
Depop —London
- Full-time
- Hybrid work
- Azure
- AWS
- Machine learning
- Annual leave
- Employee assistance programme
Senior Machine Learning Engineer (Recommendation)
Sky —London
- Full-time
- Hybrid work
- System design
- Analysis skills
- Machine learning
Machine Learning Scientist
Nucs AI —London
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- Machine learning
Quick apply
Graduate Wireless Electronic Engineer / Software Developer (Wireless Products Team)
Netbuilder —Guildford
- Up to £36,000 a year
- Full-time
- Engineering
- C++
- Maths
Quick apply
13d
Senior Machine Learning Engineer
Deliveroo —London
- Full-time
- Customer service
- Machine learning

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deep learning engineer jobs near purley way, gtl

Senior Machine Learning Engineer - Personalisation

Deliveroo -
London

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Job details

Full-time

Qualifications

TensorFlow
PyTorch
Machine learning
Natural language processing
Communication skills
Python

Full job description

Senior Machine Learning Engineer

Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Global 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.

We’re looking for a Senior Machine Learning Engineer to join our London office as part of a Global DoorDash engineering team (working hybrid, 3 days in the office).

You’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the search and personalization experiences at the heart of our fast-growing New Verticals business, encompassing grocery, convenience, and retail delivery.

What You’ll Do

You’ll be joining the New Verticals Personalisation team (Search & Recommendations). This team sits at the heart of how customers discover and shop across grocery, convenience, and retail categories, and is a key driver of the growth of Deliveroo's expanding New Verticals business. Working across the wider DoorDash engineering team, you’ll help shape intelligent, consumer-facing experiences that solve real customer problems at scale. This role spans a broad range of cutting-edge machine learning challenges, including modern recommendation and ranking systems, real-time decisioning as well as GenAI-powered experiences.

Here’s what your day-to-day might look like:

Design and build production-grade machine learning and optimisation systems that power Deliveroo's New Verticals search and recommendations at scale.
Partner with engineering and product leaders to help shape the product roadmap leveraging ML.
Provide technical leadership across multiple product areas, identifying and prioritising opportunities for high-impact algorithmic improvements.
Mentor junior team members, and lead cross functional pods to generate collective impact across the business.

What You’ll Need to Thrive

Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others:

Proven track record of designing and shipping impactful algorithms that deliver measurable business outcomes in a production environment.
Deep expertise in applied ML for Search/NLP/IR/RecSys - both classical and deep learning based. Additional familiarity with explore/exploit/MAB algorithms, LLMs, and causal inference techniques are a plus.
Machine learning background in Python; experience with PyTorch or TensorFlow preferred.
Ability to think holistically about business problems, moving beyond technical implementation to influence long-term strategy and roadmap.
Excellent communication and stakeholder management skills, with the ability to influence both technical and non-technical leaders across the global organisation.

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 Work on a complex, always-on marketplace that impacts millions every day.

See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment.

Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support.

A culture built for builders High standards, collaboration, flexible working and continuous learning.

Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make.

Want a deeper look at how we build? Check out our Tech Blog.

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 have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.

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!

Apply Now

Refine Your Search

deep learning engineer jobs in purley way, gtl

Senior Machine Learning Engineer - Personalisation

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