Algorithm engineer Work, Jobs in Forest Gate, Gtl (with Salaries)

Machine Learning Engineer
Waymo —London
- £120,000 - £130,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
AI / Machine Learning Engineer — GenAI, LLMs & Applied AI
ACG Resourcing —Baker Street
- From £200,000 a year
- Full-time
- Computer Science
- Java
- SQL
- Free parking
- Health & wellbeing programme
Quick apply
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
Research Engineer, Machine Learning (RL Velocity)
Anthropic —London
- £370,000 - £630,000 a year
- Hybrid work
- Bachelor's degree
- Machine learning
- Communication skills
- Flexible schedule
AI Engineer
Atwell Solutions —West London
- £29,840.69 - £115,784.00 a year
- Full-time
- Java
- SQL
- AWS
- Work from home
Quick apply
9d
AI Engineer
Arvora ltd —Ilford
- £45,000 - £55,000 a year
- Full-time
- Hybrid work
- Java
- SQL
- AWS
Quick apply
Algorithm Engineer
Ki —London
- Full-time
- Hybrid work
- Project management
- Machine learning
- IT
Quick apply
BCG X Forward Deployed AI Engineer, United Kingdom
Boston Consulting Group —London
- Full-time
- Doctoral degree
- Python
Senior Machine Learning Engineer
Longshot Systems Ltd —London
- Full-time
- Hybrid work
- C++
- Machine learning
- Scripting
- Gym membership
Quick apply
Forward Deployed AI Engineer, Internship, United Kingdom - BCG X
Boston Consulting Group —London
- Full-time
- Doctoral degree
- Master's degree
- Python
Graduate Applied Research Engineer
Xapien —London
- £30,000 - £40,000 a year
- Full-time
- Hybrid work
- AWS
- Communication skills
- Python
- Life insurance
Algorithm Engineer (C++ & Python)
Durlston Partners —London
- £300,000 - £400,000 a year
- Computer Science
- C++
- Python
Software Engineer
Gaints Tech —London
- £35,450 - £82,560 a year
- Full-time
- Windows
- Java
- AWS
- Free parking
- Sick pay
Quick apply
Internship Opportunities with Quantinuum 2026 - UK/Germany
Quantinuum —London
- Internship
Graduate AI Engineer
Scrumconnect Consulting —Staines-upon-Thames
- £27,000 a year
- Monday to Friday
- Hybrid work
- Azure
- Computer Science
- No experience needed
- Flexible schedule
1d
AI Research Engineer (Pre-training - LLM & Multi-Modal)
Tether Operations Limited —London
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
1d
Software Engineer IV
Indeed —London
- £98,000 - £148,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Annual leave
- Life insurance
Quick apply
Site Reliability Engineer
Barclays —London
- DevOps
- Linux
- Python
Senior Algorithm Engineer
Ki —London
- Full-time
- Hybrid work
- Project management
- Machine learning
- Python
Quick apply
Machine Learning Engineer Intern (100% Remote)
Tether Operations Limited —London
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English

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Machine Learning Engineer

Waymo -
London

Apply Now

Job details

Full-time
£120,000 - £130,000 a year

Qualifications

TensorFlow
Law
Doctoral degree
Computer Science
Master's degree
Machine learning
Driving
Deep learning
AI
Communication skills
Python

Full job description

LONDON, ENGLAND, UNITED KINGDOM

FULL-TIME

SOFTWARE ENGINEERING

4401

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Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys. By combining expert human judgment with advanced machine learning models, we deliver training and evaluation data for hundreds of metrics and components that comprise the Waymo Driver.

We are looking for researchers and software engineers passionate about developing ML techniques for evaluation systems and driving performance improvements across our technology stack.

You will:

Build scalable systems for training and fine-tuning large-scale generative models to produce realistic and evaluate interesting driving behaviors.
Lead the implementation, and iteration of novel RL algorithms, reward functions, and training paradigms tailored for generating high-fidelity and insightful driving behaviors
Lead the development of cutting-edge Deep Learning models and Generative AI (LLM/VLM) solutions to enhance human-led triaging, introduce automation for high-volume workflows, and perform nuanced analysis of self-driving behavior to detect critical anomalies.
Oversee the production and optimization of machine learning models aiming to assess Waymo’s expansive fleet of vehicles that cumulatively travel millions of miles.
Proactively monitor and assimilate best practices from within Alphabet and the broader industry to develop a novel Reinforcement Learning from Human Preference (RLHF) based data collection and evaluation system.
Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts.

You have:

M.S. or Ph.D. degree Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience.
5+ years of hands-on experience in developing and applying Machine Learning models, with a significant focus on Reinforcement Learning.
Demonstrated expertise in deep learning, sequence modeling, and generative models.
Strong publication record or history of impactful project delivery in RL or related areas.
Proficiency in Python and standard ML frameworks (e.g., JAX, TensorFlow).
Experience with large-scale distributed training and data processing.
Proven ability to lead complex and ambiguous technical projects from conception to completion.

We prefer:

7+ years of relevant experience in ML/RL research and application.
Experience in the autonomous vehicles domain, robotics, or complex simulation environments.
Deep understanding of state-of-the-art RL techniques, including those used for fine-tuning large models (e.g., from human feedback/preferences).
Familiarity with large-scale simulation platforms and their integration with ML training workflows.
Experience designing and using metrics for evaluating complex AI systems.
Track record of technical leadership, influencing senior stakeholders, and driving innovation across team boundaries.
Excellent communication skills, with the ability to articulate complex technical concepts clearly.

The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

£120,000—£130,000 GBP

Apply Now

Refine Your Search

algorithm engineer jobs in forest gate, gtl

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I want to receive the latest job alerts for algorithm engineer in forest gate, gtl

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