C&D Talent Advisory logo
C&D Talent Advisory

Formed is a multidisciplinary digital studio operating three core verticals: Formed IT — Webflow development, no-code engineering, AI systems, and digital product architecture Formed Animation — Motion systems, 3D visualization, and high-impact brand storytelling Formed Academy — A technology-driven learning platform teaching UI/UX, no-code, AI content creation, and automation As a Certified Webflow Partner Studio, we design scalable digital ecosystems where innovation mindset meets technology.

Senior ML Engineer

Location

United Kingdom

Posted

5 days ago

Salary

£100K - £150K / year

Seniority

Senior

Job Description

Senior ML Engineer

C&D Talent Advisory

Role Description We're looking for a Senior Machine Learning Engineer (Foundation Models) to lead the development, optimisation, and production deployment of our next-generation foundation model. This is a deeply technical, hands-on role where you'll: - Lead the research, development, and deployment of large-scale foundation models - Define long-term technical strategy for high-performance ML systems - Build scalable training and inference infrastructure - Own model quality, performance, and reliability - Optimise distributed training and inference pipelines - Design GPU-accelerated systems, including custom CUDA kernels when needed - Profile and optimise data pipelines, training loops, inference, and deployment - Build internal tooling, benchmarking systems, and evaluation frameworks - Design scalable ML infrastructure and solution architectures - Evaluate and implement state-of-the-art ML technologies - Work closely with founders to translate product goals into technical roadmaps - Drive engineering excellence across the ML platform Qualifications - Extensive experience designing and building large-scale foundation models - Strong Python and CUDA C/C++ expertise - Deep knowledge of PyTorch (preferred) or another major deep learning framework - Experience optimising and debugging deep learning models - Experience with distributed training and large-scale inference - Experience building ML systems on AWS, Azure, or GCP - Strong GPU optimisation experience - Experience building production ML infrastructure - Excellent system design skills - Delivery-focused mindset with strong ownership - Comfortable solving ambiguous, high-impact problems - Able to work onsite in London or visit the office at least once per month Requirements - Experience with Mixture of Experts (MoE) or State Space Models - Custom CUDA kernel development - ML systems operating under strict production SLOs - Experience building internal ML tooling and benchmarking frameworks - Startup or research lab experience shipping foundation models - Experience scaling distributed GPU clusters Benefits - £100,000-£150,000 salary - Meaningful equity (Share Options) - Opportunity to build a first-of-its-kind foundation model - Direct collaboration with founders - No take-home assignments or live coding interviews - Transparent, low-ego engineering culture - High ownership and technical autonomy - Office-first environment with flexibility for exceptional candidates

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