CrawlJobs Logo
Formula Recruitment Logo Formula Recruitment · IT - Software Development

AI Platform Lead

United Kingdom, London 100000.00 GBP / Year · Job Posted December 08, 2025
Apply Position
Job Link Share

Job Description

A rapidly growing tech company is seeking an AI Platform Lead to architect and scale the core infrastructure powering their AI-driven modelling platform. This is a high-impact, cross-functional role where you’ll blend deep ML infrastructure expertise with strong systems thinking and product intuition. You’ll work closely with engineering, product, and domain specialists to define how AI is integrated into the platform – building LLM-backed agents, features, and developer-facing tools that deliver real value to end users.

Job Responsibility

  • Architect and scale the core infrastructure powering their AI-driven modelling platform
  • Blend deep ML infrastructure expertise with strong systems thinking and product intuition
  • Work closely with engineering, product, and domain specialists to define how AI is integrated into the platform
  • Building LLM-backed agents, features, and developer-facing tools that deliver real value to end users

Requirements

  • 5+ years’ experience building AI/ML platforms, LLM services, or ML infrastructure
  • Hands-on expertise with modern LLM frameworks—RAG, agents, prompt engineering, fine-tuning
  • Strong systems thinking and experience integrating AI into complex platforms
  • Product awareness and the ability to work across teams in a fast-moving environment

Nice to have

Experience with ML lifecycle tools or structured data systems is a bonus

What we offer

  • Bonus
  • Flexible hybrid working from a London office
  • Generous time off and modern workspace perks
  • Pension contributions
  • Equity options and the chance to grow with the company
Formula Recruitment - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

AI Platform Lead

8 matching positions

AI Platform Lead

I'm working with a well known public sector organisation undergoing significant ...
Location
Location
United Kingdom , London or Newcastle
Salary
Salary:
80000.00 - 85000.00 GBP / Year
understandingrecruitmentnfp.com Logo
Understanding Recruitment NFP
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong experience leading AI/ML platform or data platform teams
  • Experience with Terraform, VNets, Networking
  • Experience with cloud platforms (Azure, AWS, or GCP)
  • Strong stakeholder management and communication skills
  • Experience shaping platform strategy and driving adoption across organisations
Job Responsibility
Job Responsibility
  • Define the vision, architecture, and roadmap for AI platforms across the business
  • Work closely with data, engineering, and product teams to enable the development and deployment of machine learning and AI solutions
  • Lead a newly established team
  • Shape and scale AI capability
  • Key areas from day one are Microsoft copilot studios & Foundry
What we offer
What we offer
  • 20% employer pension contribution
  • Fulltime
Read More
Arrow Right

GCP AI Platform Architect / Lead AI Platform Engineer

Our client is an innovative technology company specializing in the development o...
Location
Location
Poland , Kraków
Salary
Salary:
Not provided
teamquest.pl Logo
TeamQuest Sp. z o. o.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • GCP Expertise (verifiable - ask for production examples): GCP is their primary cloud not secondary experience alongside AWS/Azure. Production deployments across most of: Vertex AI, Cloud Run or GKE, Pub/Sub, BigQuery, Secret Manager, VPC Service Controls, IAM + Workload Identity. Has designed for GCP from scratch, not migrated from another cloud, end-to-end ownership
  • AI / Backend Engineering: Python is the primary language - production-grade service/API development, not scripting or data science only. Strong track record building distributed systems and integrating LLMs.
  • Agentic Architecture (must be production, not PoC): Hands-on production experience with at least one: LangGraph, Google ADK, CrewAI, or custom multi-agent orchestration layer. RAG pipelines shipped to production. Google ADK: candidate must be able to explain what it is, when to use it, and how it compares to LangGraph and custom orchestration. AI agent workflows, ReAct prompting, and Function Calling in production environments
  • Multi-Tenant Architecture: Has designed a multi-tenant SaaS platform end-to-end - not just contributed. Can articulate tenant isolation strategies: IAM boundary design, data isolation per tenant, VPC controls.
  • API Design & Integrations: Proven ability to create secure, high-performance APIs capable of asynchronously managing traffic and communication between multiple decoupled services.
  • Enterprise Security: Practical knowledge of data isolation in multi-tenant SaaS architectures, IAM, and securing cloud-based environments.
  • Vector Databases: Hands-on experience with semantic search and at least one of: Pinecone, Weaviate, pgvector, or Vertex Matching Engine.
Job Responsibility
Job Responsibility
  • System Architecture: Design and develop a scalable, cloud-native architecture on Google Cloud Platform (GCP) that meets enterprise security and multi-tenant data isolation requirements for a SaaS environment
  • AI Agent Orchestration: Architect and implement autonomous, multi-step AI workflows with a clear separation of agent responsibilities (retrieval, analysis, reasoning, response generation)
  • Hands-on Core Development: Actively contribute to core system development-coding orchestration logic, designing services, optimizing performance, and building secure API integrations for routing queries across internal and external agents
  • Frontend Enablement: Design the backend layer, streaming protocols, and APIs to seamlessly support and integrate with advanced conversational UIs
  • Data Management & Extensibility: Build a robust backend capable of processing qualitative and social data, ensuring the platform is easily extensible to incorporate new data sources
What we offer
What we offer
  • Attractive salary
  • Full remote work
  • Social benefits:sporto card,healthcare insurance
  • Fulltime
Read More
Arrow Right

GCP AI Platform Architect / Lead AI Platform Engineer

Our client is an innovative technology company specializing in the development o...
Location
Location
Poland , Katowice
Salary
Salary:
Not provided
teamquest.pl Logo
TeamQuest Sp. z o. o.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • GCP Expertise (verifiable - ask for production examples): production deployments across most of: Vertex AI, Cloud Run or GKE, Pub/Sub, BigQuery, Secret Manager, VPC Service Controls, IAM + Workload Identity
  • Has designed for GCP from scratch, not migrated from another cloud, end-to-end ownership
  • AI / Backend Engineering: Python is the primary language - production-grade service/API development, not scripting or data science only
  • Strong track record building distributed systems and integrating LLMs
  • Agentic Architecture (must be production, not PoC): Hands-on production experience with at least one: LangGraph, Google ADK, CrewAI, or custom multi-agent orchestration layer
  • RAG pipelines shipped to production
  • Google ADK: candidate must be able to explain what it is, when to use it, and how it compares to LangGraph and custom orchestration
  • AI agent workflows, ReAct prompting, and Function Calling in production environments
  • Multi-Tenant Architecture: Has designed a multi-tenant SaaS platform end-to-end - not just contributed
  • Can articulate tenant isolation strategies: IAM boundary design, data isolation per tenant, VPC controls
Job Responsibility
Job Responsibility
  • System Architecture: Design and develop a scalable, cloud-native architecture on Google Cloud Platform (GCP) that meets enterprise security and multi-tenant data isolation requirements for a SaaS environment
  • AI Agent Orchestration: Architect and implement autonomous, multi-step AI workflows with a clear separation of agent responsibilities (retrieval, analysis, reasoning, response generation)
  • Hands-on Core Development: Actively contribute to core system development-coding orchestration logic, designing services, optimizing performance, and building secure API integrations for routing queries across internal and external agents
  • Frontend Enablement: Design the backend layer, streaming protocols, and APIs to seamlessly support and integrate with advanced conversational UIs
  • Data Management & Extensibility: Build a robust backend capable of processing qualitative and social data, ensuring the platform is easily extensible to incorporate new data sources
What we offer
What we offer
  • Attractive salary
  • Full remote work
  • Social benefits: sport card, healthcare insurance
  • Fulltime
Read More
Arrow Right

Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)

Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)
Location
Location
United States , New York; San Francisco; San Jose; Cambridge; McLean
Salary
Salary:
197300.00 - 245600.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
  • At least 4 years of experience programming with Python, Go, Scala, or Java
Job Responsibility
Job Responsibility
  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
  • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc
  • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
  • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
  • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One
What we offer
What we offer
  • performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits
  • Fulltime
Read More
Arrow Right

Senior Lead AI Engineer (Gen AI Platform Services)

At Capital One, we are creating responsible and reliable AI systems, changing ba...
Location
Location
United States , San Jose, California; New York, New York
Salary
Salary:
250800.00 - 286200.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
  • At least 6 years of experience programming with Python, Go, Scala, or Java
Job Responsibility
Job Responsibility
  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
  • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
  • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
  • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
  • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One
What we offer
What we offer
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits
  • Fulltime
Read More
Arrow Right

Senior Lead AI Engineer (Gen AI Platform Services)

At Capital One, we are creating responsible and reliable AI systems, changing ba...
Location
Location
United States , San Jose; San Francisco; New York; Cambridge; McLean
Salary
Salary:
229900.00 - 286200.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
  • At least 6 years of experience programming with Python, Go, Scala, or Java
Job Responsibility
Job Responsibility
  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
  • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
  • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
  • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
  • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One
What we offer
What we offer
  • performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
  • Fulltime
Read More
Arrow Right

Sr. Lead AI Engineer (Inference Optimization, FM hosting, AI Platform)

At Capital One, we are creating responsible and reliable AI systems, changing ba...
Location
Location
United States , San Jose, California; San Francisco, California; New York, New York; Cambridge, Massachusetts; McLean, Virginia
Salary
Salary:
229900.00 - 286200.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
  • At least 6 years of experience programming with Python, Go, Scala, or Java
Job Responsibility
Job Responsibility
  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
  • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
  • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
  • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
  • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One
What we offer
What we offer
  • Cash bonus(es)
  • Long term incentives (LTI)
  • Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
  • Fulltime
Read More
Arrow Right

Lead AI Platform Engineer

Join us as a Lead AI Platform Engineer. Are you passionate about building cuttin...
Location
Location
United Kingdom , Glasgow
Salary
Salary:
Not provided
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Hands-on expertise in designing, building, and maintaining AWS platforms supporting AI workloads (ML, GenAI, agentic systems)
  • Proven experience working across security, governance, architecture, and business stakeholders, navigating complex enterprise environments
  • A product-oriented approach, with a focus on outcomes, scalability, self-service capabilities, continuous evolution, and exceptional user experience
Job Responsibility
Job Responsibility
  • Lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions
  • Driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives
  • Oversee timelines, team allocation, risk management and task prioritization to ensure the successful delivery of solutions within scope, time, and budget
  • Mentor and support team members' professional growth, conduct performance reviews, provide actionable feedback, and identify opportunities for improvement
  • Evaluation and enhancement of engineering processes, tools, and methodologies to increase efficiency, streamline workflows, and optimize team productivity
  • Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development
  • Enforcement of technology standards, facilitate peer reviews, and implement robust testing practices to ensure the delivery of high-quality solutions
What we offer
What we offer
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution
  • Fulltime
Read More
Arrow Right