Technical lead Work, Jobs in Chertsey, Sry (with Salaries)

Staff Machine Learning Infrastructure Engineer, Simulation
Waymo —London
- £155,000 - £163,000 a year
- Full-time
- Computer Science
- Bachelor's degree
- Machine learning
7d
Technical Team Lead, Contract
Xcelirate —London
- £145,000 a year
- Remote
- Management
- AWS
- JavaScript
Quick apply
PMO Lead
Northern Trust Corp. —London
- Full-time
- Microsoft Powerpoint
- Microsoft Excel
- Organisational skills
6d
Senior Delivery Manager
Scrumconnect Consulting —Staines-upon-Thames
- Agile
- IT
- Leadership
Tech Lead (EU/UK Based - Remote)
Duvo Inc —London
- £110,000 - £220,000 a year
- Full-time
- Remote
- Management
- APIs
IT Operations Director
Mind Solutions Customer Experience & IT Operations Ltd —London
- £8,500 - £13,500 a month
- Full-time
- Management
- Computer Science
- Software development
- Bereavement leave
Quick apply
9d
Technical Lead – Shared Infrastructure
BAE Systems —New Malden
- Up to £65,500 a year
- Hybrid work
- System design
- No degree
Senior Technical Support Operations Manager
Lembaga Inspeksi Technical Inspection Services Ltd —London
- £81,600 - £122,400 a year
- Full-time
- Engineering
- In-person
- Leadership
- Free parking
- Health & wellbeing programme
Quick apply
Customer Success Manager
Plain —London
- £180,000 - £215,000 a year
- Full-time
- Hybrid work
- Sales
- APIs
Technical Delivery Specialist (Edgewing)
BAE Systems —Frimley
- From £54,808 a year
- Leadership
3h
Maintenance Manager - Visa Sponsorship & Relocation Assistance for Successful Candidates
Claytons (Aust) Pty Ltd —London
- £74,410 - £85,040 a year
- Full-time
- Customer service
- Maintenance
- IT
- Relocation assistance
Quick apply
12d
Technical Supervisor
Southbank Centre —London
- £62,089 a year
- Full-time
- Supervising experience
- Communication skills
- Annual leave
- Employee discount
Chief Technology Officer
The Jockey Club —Esher
- Full-time
- Continuous improvement
- IT
- Leadership
- Annual leave
8d
Technical Programme Lead
BAE Systems —London
- Hybrid work
- Agile
Salesforce Technical Lead
Thames Water Utilites —Reading
- Up to £85,000 a year
- Full-time
- Hybrid work
- Azure
- Salesforce
- DevOps
- Annual leave
Technical Lead, Professional Services
Cvent —London
- Weekend availability
- Hybrid work
- Microsoft Powerpoint
- Microsoft Word
- Software troubleshooting
- Work from home
3d
Sr Customer Engagement Specialist REMOTE from Anywhere in the United Kingdom or European Union
AYTM —London
- £50,000 - £60,000 a year
- Full-time
- Remote
- Microsoft Excel
- Customer service
- Microsoft Office
Quick apply
Test & QA Manager
University of Surrey —Guildford
- £58,225 - £69,488 a year
- Full-time
- University
- Annual leave
6d
Operations and Integration Lead
Transformations Community —London
- Part-time
- Remote
- Bachelor's degree
- Communication skills
Quick apply
6d
Onsite Technical Lead
ABACUS —London
- Full-time
- Azure
- Travel
- Financial services
- Annual leave
- Employee discount
Quick apply

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Staff Machine Learning Infrastructure Engineer, Simulation

Waymo -
London

Apply Now

Job details

Full-time
£155,000 - £163,000 a year
7 days ago

Qualifications

TensorFlow
Computer Science
PyTorch
OS Kernels
Bachelor's degree
Machine learning
Driving
Distributed systems

Full job description

LONDON, ENGLAND, UNITED KINGDOM

FULL-TIME

SOFTWARE ENGINEERING

5051

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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 Simulation ML Infrastructure team builds scalable AI/ML infrastructure to accelerate the Simulator team in sustainably innovating and building state of the art simulations of realistic environments for the testing and training of the Waymo Driver. To increase the fidelity and steerability of the simulations, we employ large foundation models trained on massive datasets to model the real world, including but not limited to, realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.), roads, traffic control systems, and weather etc.

We seek an experienced Senior Machine Learning Infrastructure Engineer to lead the development of advanced AI/ML infrastructure for multi-billion parameter foundation models in ML accelerator-friendly simulations. Your expertise in massive model scaling, ML accelerators, and distributed training will be required for designing and scaling our systems.

This role reports to an Engineering Manager.

You will:

Be part of a world-class, high-performing research engineering team to advance the state of the art of ultra realistic multi-agent simulations using foundation models.
Collaborate closely with the core Google DeepMind and Waymo Realism Modeling teams in London, and Waymo Oxford to use the large models to improve sim realism.
Provide deep technical leadership on large-scale ML model architectures, especially for autonomous vehicle models. Work at the intersection of data engineering, model development, and deployment, and provide guidance on architectural decisions and technical directions. Own large, complex systems, driving architectures that meet technical and business objectives.
Design and scale large distributed systems covering the ML lifecycle, supporting planet-scale dataset generation and model training.
Collaborate cross-functionally to derive performance and system-level requirements for large ML systems. Translate product/business goals into measurable technical deliverables, ensuring system component alignment.
Mentor junior engineers, growing their expertise and fostering a collaborative culture.

You have:

BS in Computer Science, Robotics, similar technical field of study, or equivalent practical experience
5+ years of professional software engineering experience, with at least 3 years in machine learning infrastructure such as developing, scaling, training, deploying, and optimizing large-scale machine learning systems from data to model.

We prefer:

MS in Computer Science, Robotics, similar technical field of study, or equivalent practical experience
10+ years of professional software engineering experience, with at least 5 years in machine learning infrastructure such as developing, designing, scaling, training, deploying, and optimizing large-scale machine learning systems from data to model.
Solid experience in the development and optimization of machine learning infrastructure tools like DeepSpeed, PyTorch, TensorFlow, or similar frameworks.
Strong expertise in distributed training techniques, including gradient sharding and optimization strategies for scaling large models across ML accelerator profiling tools to uncover performance bottlenecks.
Deep understanding of state-of-the-art machine learning models such as auto-regressive transformers and familiarity with custom-kernels for diverse h/w compute based efficiency.
Practical familiarity in Autonomous Driving, Simulations, and ML accelerators is a huge plus.

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

£155,000—£163,000 GBP

Apply Now

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technical lead jobs in chertsey, sry

Staff Machine Learning Infrastructure Engineer, Simulation

Technical Team Lead, Contract

PMO Lead

Senior Delivery Manager

Tech Lead (EU/UK Based - Remote)

IT Operations Director

Technical Lead – Shared Infrastructure

Senior Technical Support Operations Manager

Customer Success Manager

Technical Delivery Specialist (Edgewing)

Maintenance Manager - Visa Sponsorship & Relocation Assistance for Successful Candidates

Technical Supervisor

Chief Technology Officer

Technical Programme Lead

Salesforce Technical Lead

Technical Lead, Professional Services

Sr Customer Engagement Specialist REMOTE from Anywhere in the United Kingdom or European Union

Test & QA Manager

Operations and Integration Lead

Onsite Technical Lead

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