Ai engineering lead Work, Jobs in Penge, Gtl (with Salaries)

AI Engineering Lead
Normal Computing Corporation —London
- £250,000 - £340,000 a year
- Full-time
- Hybrid work
- Mentoring
- AI
- Leadership
AI Engineering Lead
TP ICAP —London
- Full-time
- AWS
- Analysis skills
- APIs
AI Transformation Leader (All Levels) - UK Wide
Concept AI Ltd —London
- £90,000 - £220,000 a year
- Full-time
- Hybrid work
- Management
- Supervising experience
- Machine learning
- Work from home
Quick apply
4d
AI Engineering Lead
National Westminster Bank PLC —London
- £38,123 - £53,820 a year
- Full-time
- Hybrid work
- Machine learning
- AI
- Leadership
- Annual leave
12h
Lead Instructor: AI & Automation
Decoded Limited —London
- £65,000 - £70,000 a year
- Full-time
- Remote
- Master's degree
- JavaScript
- Scripting
Quick apply
Lead, AI Transformation (12 Month FTC)
McLaren Racing —Woking
- Full-time
- Hybrid work
- Machine learning
- AI
- Communication skills
- Life insurance
Quick apply
7d
Anthropic Fellows Program
Anthropic —London
- £2,310 - £4,300 a week
- Part-time
- Remote
- Master's degree
- Maths
- Bachelor's degree
- Flexible schedule
Staff Software Engineer, AI Reliability Engineering
Anthropic —London
- £325,000 - £390,000 a year
- Hybrid work
- Bachelor's degree
- APIs
- AI
- Flexible schedule
Tech Lead (EU/UK Based - Remote)
Duvo Inc —London
- £110,000 - £220,000 a year
- Full-time
- Remote
- Management
- APIs
AI Platform & Infrastructure Lead
Naked Wines —London
- £70,000 - £80,000 a year
- Full-time
- Hybrid work
- AWS
- AI
- Annual leave
Quick apply
Junior Engineer
Tracer Cloud Inc —London
- Up to £70,000 a year
- Full-time
- AWS
- AI
- Python
- Annual leave
Applied AI Security Architect
Anthropic —London
- £190,000 - £230,000 a year
- Hybrid work
- Azure
- English
- AWS
- Flexible schedule
Engineering Lead, Scale
Airwallex —London
- £100,000 - £228,000 a year
- Full-time
- Hybrid work
- Java
- AWS
- APIs
Gen AI Lead
Elance India —London
- £300.20 - £400.02 a day
- Full-time
- DevOps
- Java
- Master's degree
Quick apply
Frontend Engineering Team Lead
Netcraft —London
- AWS
- JavaScript
- Mentoring
- Annual leave
- Referral programme
Quick apply
Lead Product Designer
Euphoric Global —London
- £110,000 - £140,000 a year
- Full-time
- Remote
- IT
- Communication skills
8d
AI Engineering Lead
Substrate Bio —London
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- APIs
- Annual leave
Quick apply
Applied AI Engineer
Revolut —London
- SQL
- Machine learning
- AI
Principal, Product Designer - AI Incubation Lab
Expedia —London
- £242,000 - £387,000 a year
- Full-time
- Bachelor's degree
- AI
- Communication skills
- Annual leave
- Employee assistance programme
Manager, AI Deployment Engineering - Codex
OpenAI —London
- Full-time
- Hybrid work
- Sales
- JavaScript
- Mentoring
- Relocation assistance

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AI Engineering Lead

Normal Computing Corporation
London

Apply Now

Job details

Full-time
£250,000 - £340,000 a year

Qualifications

Mentoring
AI
Leadership
Debugging

Full job description

About Normal Computing

Normal Computing builds silicon that turns thermal noise from an obstacle into a computational resource. Conventional chips spend most of their energy forcing determinism onto physics; ours compute with it. Stochastic, in-memory, asynchronous: the result is 10-100× more AI inference per dollar, per watt.

We co-design the full stack: AI-native EDA systems in production with the world's largest semiconductor companies, and the advanced ASICs they make possible. Backed by $85M+ from the world's leading deep-tech investors and built by scientists, engineers, and operators from the labs that built modern computing.

Normal works as one team across New York, Silicon Valley, London, Copenhagen, and Seoul. We hire people who want the hardest version of their craft, across every discipline, at every seniority.

The Role

As our AI Engineering Lead, you will lead a team of engineers building systems for AI-native EDA and advanced hardware workflows. This work sits at the intersection of applied AI, ML systems, agents, model evaluation, software engineering, and semiconductor domain complexity.

You will be responsible for setting technical direction, managing execution, developing engineers, and staying close to the implementation details that determine whether these systems work in practice. The team is building AI systems where correctness, traceability, and reliability matter, especially when agents are operating against formal or highly structured engineering problems.

This is a hands-on leadership role for someone who has grown from strong individual contribution into technical leadership or management. You should be comfortable moving between architecture, model behavior, evaluation, implementation tradeoffs, hiring, and team development. The strongest candidates will have built meaningful AI systems in technical domains where models need to operate against real constraints.

What You'll Own

Team Leadership: Lead and manage a team of AI engineers; hire, mentor, and develop strong engineers as the team scales.
Technical Direction: Set direction for applied AI and ML engineering work across Normal's product and platform areas.
Hands-On Depth: Stay hands-on with architecture, implementation decisions, code review, debugging, evaluation, and system design; contribute directly to critical technical work when needed.
Structured AI Systems: Build AI systems that operate against structured engineering workflows, formal specifications, and objective correctness signals.
Cross-Functional Translation: Partner with product, engineering, research, and leadership to translate ambiguous goals into clear technical plans.
Execution Model: Help define the operating rhythm, engineering standards, and execution model for the AI team; identify technical risks early and balance model quality, reliability, product impact, and velocity.

What Makes You a Great Fit

Direct experience across AI engineering, ML engineering, applied AI, production ML systems, or AI infrastructure
Experience as a technical lead, staff-level IC, engineering manager, or hybrid lead/manager for AI/ML engineering teams
Track record of building and shipping meaningful AI systems in production or high-impact technical environments
Strong hands-on technical ability, with comfort reviewing designs, debugging systems, and contributing directly when needed
Experience working with LLMs, RL, agents, model evaluation, inference systems, optimization, or ML infrastructure
Ability to create clarity in ambiguous technical areas and help teams move quickly without losing rigor
Experience managing or mentoring engineers while maintaining close technical involvement
Strong ownership mindset and ability to operate in a small, high-caliber team

Bonus Points

Experience applying agentic systems and AI to EDA, semiconductor workflows, circuits, hardware design, verification, or other advanced engineering domains
Experience leading AI work in a startup, research-heavy, or zero-to-one product environment
Experience hiring and scaling small, senior engineering teams

Equal Employment Opportunity Statement

Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.

Accessibility Accommodations

Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at [email protected].

Privacy Notice

By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Privacy Policy.

Compensation Range: $250K - $340K

Apply Now

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