Wayve on cord

Wayve

Technical Lead Manager

External position
London, UK
Hiring internally for Wayve?
Automotive · Machine Learning and AI
We're Wayve, a leading developer of embodied intelligence for autonomous vehicles.
Posted
a week ago
Checked
cord regularly checks that external positions are still open
4 hours ago

Skills & Experience

Job roles: Technical Architect
Experience level: Lead
Core skills considered: Artificial Intelligence, Machine Learning, Python, PyTorch, Agile
Other skills considered: Building Teams, Cloud Computing, Data Pipelines, Project Management, Technical Direction

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Simulation is advancing our end-to-end autonomous driving research. The team's mission is to accelerate our journey to AV2.0 by incubating capabilities that become company-level advantages. GAIA, our generative world models, and the synthetic data they produce, are one of those.

This role leads Synthetic Data within Simulation. The team exists to dramatically reduce our dependency on expensive and time-consuming on-road data collection by turning generative world models (models like GAIA-3) into a production engine for training-grade experience. When we can restage real driving onto a camera rig that does not exist yet, rewrite ego motion to create scenarios we have never encountered, and land that data in the same training stack we use for real driving, we can train, evaluate and deploy on vehicles and in geographies we have barely collected from.

These are some areas the workstream is focused on:

  • Post-training GAIA-class world models for synthetic-data capabilities: rig transfer (new camera and vehicle embodiments), pose transfer (rewritten ego trajectories), and related conditioning on geometry, calibration and actions.
  • Running generation at scale with clear lineage from the model and settings that produced them.
  • Landing synthetic data in driving-model training and proving its impact on suite and on-road metrics.
  • Expanding coverage to new vehicle platforms and safety-critical scenarios, including OEM bring-up and features
  • Modify existing data in a controllable and scalable way to create new scenarios or create new ones from scratch.

As Tech Lead Manager, you'll lead a high-performing team of machine learning engineers and help us answer questions like:

  • Can we train and validate a driving model for a vehicle platform before the fleet exists?
  • Can synthetically generated data replace scarce real-world data for training and evaluation - and how would we know?
  • How quickly can we deploy autonomous driving in a geography where we've never collected AV data?

Key responsibilities

Technical contributions & leadership

As a technical leader you will:

  • Architect the future - set the technical direction for how we post-train and condition world models for synthetic-data capabilities (rig transfer, pose transfer, controllability), holding a high bar for what counts as training-grade generation.
  • Own the loop end to end - make sure generation, evaluation and training stay one system: from checkpoint and config, through large-scale GPU inference, to artefacts that land in driving-model training with reproducible lineage.
  • Get hands-on when it matters - lead from the front on key components, codebases and experiments.
  • Push throughput and yield - drive inference optimisation (distillation, few-step sampling, KV caching, step count), valid-generation rate, and self-serve workflows so model developers can request synthetic sets without a specialist in the loop.
  • Disrupt thoughtfully - challenge assumptions about where synthetic data pays off, ask sharp questions, and champion bold ideas that move us beyond incremental gains.

Team management & cross-functional execution

As a people and execution leader you will:

  • Make things happen - lead a high-performing, cross-functional team of ML engineers and applied scientists working across generative modelling, generation infrastructure and training. Drive quarterly planning and execution in a high-ambiguity environment where the target moves.
  • Align and connect - collaborate with world-model researchers, platform and infra engineers, driving-model owners and evaluation so synthetic data is integrated into the broader stack, not delivered over a wall. Manage upwards and laterally to align your team's goals with company priorities and OEM programme timelines.
  • Architect teams - grow and structure a resilient team by hiring top talent, designing effective operating models, and fostering a sense of belonging regardless of location. Cultivate a strong, inclusive culture rooted in scientific rigour, collaboration and curiosity.
  • Level up - coach and mentor team members, tailoring growth plans to individual strengths and aspirations. Lead by example through technical engagement and clear feedback.
  • Champion change - navigate your team through evolving research priorities and fast-moving execution, maintaining stability and trust through uncertainty.

About you

In order to set you up for success as a Tech Lead Manager at Wayve, we're looking for the following skills and experience.


Essential

  • 5+ years of experience in ML engineering or applied research roles, with a track record of training and shipping neural networks - not only operating data platforms.
  • 4+ years of people management experience, including direct reports and cross-functional project ownership.
  • Deep knowledge of generative modelling (diffusion, flow matching, autoregressive, or VAEs) applied to video or other high-dimensional temporal data.
  • Hands-on experience with video, generative or world models - for example video generation, novel-view synthesis, neural rendering, or controllable generation.
  • Working knowledge of cameras and 3D geometry (multi-camera rigs, intrinsics/extrinsics, warps and reprojection) and why they break generation or downstream training.
  • Evidence of closing the loop: taking generated or simulated data into a trained downstream model and measuring impact through mix ratios, ablations and failure analysis.
  • Experience operating generation or training at real scale - multi-GPU jobs, workflow orchestration, large video artefacts - and making that path reliable.
  • Strong Python and PyTorch engineering fundamentals, and experience building research-grade production tools.
  • Excellent communication skills and a passion for coaching and mentoring others.
  • You balance technical depth with people leadership. You know when to lead from the front and when to empower your team.
  • You embrace ambiguity and help your team make sense of it, keeping clarity and momentum through uncertainty.

Nice to have

  • Experience in AVs, robotics, simulation, or other embodied AI domains, and with multi-sensor driving data (video, telemetry; LiDAR a plus).
  • Distillation, few-step sampling, KV caching, or other inference-speed work on large generative models.
  • Reward models, offline RL, or closed-loop evaluation of driving policies.
  • Productionising research: Flyte/Ray/Spark-style jobs, dataset lineage, training mix configuration; cloud GPU fleets (Azure/AWS/GCP) and distributed training.
  • Strong publication record or contributions to open-source ML tooling.
  • Previous experience in startup-like or high-ambiguity environments.

Company Benefits

  • Competitive compensation with salary and equity
  • Immersion in a team of world-class researchers, engineers and entrepreneurs
  • A position to shape the future of autonomous driving and to tackle the biggest challenges of our time
  • Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!
Technical Lead Manager at Wayve
Position posted a week ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
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Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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