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1,369

Artificial Intelligence jobs in United Kingdom

Product Analytics Lead - AI + SaaS Scale-up - London (Hybrid) in London

Energy Jobline ZR

City Of London
On-site
GBP 70,000 - 90,000
14 days ago
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Lead Technical Account Manager - AI / Retail Startup in London

Energy Jobline ZR

City Of London
Hybrid
GBP 80,000
14 days ago

Data Scientist | AI Tech Start-Up in London

Energy Jobline ZR

City Of London
Hybrid
GBP 60,000 - 85,000
14 days ago

Founding AI Engineer (Remote)

Bjak

City Of London
Remote
GBP 80,000 - 100,000
14 days ago

Head of Engineering (AI)

Fuse Energy

City Of London
On-site
GBP 125,000 - 150,000
15 days ago
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Operations Manager - AI & Robotics

Ellison Institute of Technology

Oxford
On-site
GBP 40,000 - 60,000
15 days ago

AI Transformation Lead

Digiterre

City Of London
On-site
GBP 70,000 - 90,000
15 days ago

Lead Product Manager: AI Platform

Zego

City Of London
On-site
GBP 80,000 - 100,000
15 days ago
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AI & Automation Trainer

Colossyan

United Kingdom
Remote
GBP 40,000 - 60,000
15 days ago

AI/ML Engineer | Tech | London, UK

Savanta

City Of London
Hybrid
GBP 65,000 - 75,000
15 days ago

Senior AI & ML Technologist

Digital Catapult

Belfast
Hybrid
GBP 40,000 - 60,000
15 days ago

Data Scientist I - QuantumBlack, AI

QuantumBlack, AI by McKinsey

City Of London
On-site
GBP 50,000 - 70,000
15 days ago

Responsible AI Mobilisation Lead

Lloyds Banking Group

City Of London
Hybrid
GBP 90,000 - 110,000
15 days ago

Senior Consultant, AI Engineer, AI&Data, UKI

Ernst & Young Advisory Services Sdn Bhd

Belfast
Hybrid
GBP 60,000 - 90,000
15 days ago

Postdoctoral Research Associate in Transdiagnostic Artificial Intelligence

King's College London

City Of London
On-site
GBP 35,000 - 50,000
17 days ago

Postdoctoral Research Associate in Transdiagnostic Artificial Intelligence

KINGS COLLEGE LONDON

United Kingdom
On-site
GBP 45,000 - 53,000
17 days ago

Senior ML Quant Engineer - Fixed Income - Artificial Intelligence

Bloomberg LP

City Of London
On-site
GBP 70,000 - 100,000
17 days ago

Assistant Manager- Algorithm & Artificial Intelligence (AI) Assurance - Audit & Assurance

Deloitte LLP

City Of London
Hybrid
GBP 50,000 - 70,000
20 days ago

VP-Artificial Intelligence (AI) Risk Management

LGBT Great

City Of London
On-site
GBP 125,000 - 150,000
21 days ago

VP-Artificial Intelligence (AI) Risk Management

Moody's Investors Service

City Of London
On-site
GBP 100,000 - 130,000
23 days ago

Artificial Intelligence Research Engineer

Understanding Recruitment

Greater London
Hybrid
GBP 85,000 - 120,000
23 days ago

Curriculum Manager - Artificial Intelligence

DataCamp

City Of London
Hybrid
GBP 60,000 - 80,000
24 days ago

Let's begin! VP-Artificial Intelligence (AI) Risk Management (11559)

Moody's Investors Service

City Of London
On-site
GBP 100,000 - 150,000
24 days ago

Senior ML Research Engineer - Artificial Intelligence

Bloomberg L.P.

City Of London
On-site
GBP 60,000 - 80,000
24 days ago

Artificial Intelligence (AI) Engineer

PC Partner Limited

City Of London
On-site
GBP 60,000 - 80,000
25 days ago

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Product Analytics Lead - AI + SaaS Scale-up - London (Hybrid) in London
Energy Jobline ZR
City Of London
On-site
GBP 70,000 - 90,000
Full time
14 days ago

Job summary

A leading global energy job board is seeking a Product Analytics Lead to define and drive the analytics platform vision. This hands-on, high-impact role focuses on building a data-driven experience that integrates AI capabilities and real-time decision-making. Applicants should have over 8 years of experience in product management or related fields, with a strong focus on analytics platforms. Join a rapidly scaling SaaS innovator and shape the future of embedded analytics.

Qualifications

  • 8+ years of product management or related experience with a focus on analytics platforms, embedded BI, or developer‑oriented data tools.
  • Experience with SDK‑based instrumentation, session replay, or in‑app analytics.
  • Ability to design for both technical and non‑technical audiences.

Responsibilities

  • Build and scale a high‑performance, low‑latency analytics engine.
  • Lead the development of agentic capabilities like natural querying and AI‑generated dashboards.
  • Ensure seamless interoperability with the company’s knowledge graph and product workflows.

Skills

Product management
Analytics platforms
SDK-based instrumentation
Natural querying
Collaboration with engineering and AI/ML teams

Tools

DuckDB
Embedded BI tools
Job description

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Job Description
About the Role

Stax Recruitment is proud to partner with a rapidly scaling SaaS innovator in the search for a Product Analytics Lead.

This is a hands‑on, high‑impact leadership role at the core of the company’s data strategy—responsible for building the foundation that enables intelligent, data‑driven decisions across their platform, applications, and AI‑powered experiences.

This isn’t analytics as usual. You’ll be defining an AI‑, developer‑first analytics platform where real‑time data, customer context, and machine reasoning come together to deliver insights that go far beyond traditional dashboards.

You’ll own the product vision and roadmap for a next‑analytics engine—one that empowers both humans and agents to query, visualize, and act on data. You’ll also oversee the company’s in‑app SDK for instrumentation and engagement analytics, transforming raw telemetry into actionable insights across product, support, and engineering workflows.

This is a rare opportunity to shape the future of embedded and agentic analytics at scale.

Key Responsibilities
Define & Drive the Analytics Platform Vision
  • Build and scale a high‑performance, low‑latency analytics engine that supports embedded dashboards, cross‑source joins, and both human and AI‑querying (e.g. Text-to-SQL).
  • Leverage in‑app instrumentation (session replays, logs, engagement events) to enable observability, anomaly detection, and customer experience analytics.
Build AI‑Enabled Interactions
  • Lead the development of agentic capabilities—such as natural querying, AI‑generated dashboards, and real‑time recommendations—integrating structured data with intelligent systems.
Deliver Embedded & In‑Process Analytics
  • Use modern query engines (e.g. DuckDB) to enable fast, secure, and local analytics inside apps and notebooks.
Design for Multiple Personas
  • Create adaptable tools and visualizations that serve developers, product managers, GTM teams, and support leaders—balancing usability, flexibility, and technical depth.
Champion Developer Experience
  • Treat analytics as a product for builders: emphasize modular design, great documentation, clean APIs, and extensibility.
Integrate Across the Stack
  • Ensure seamless interoperability with the company’s knowledge graph, customer 360 data, product workflows, and AI agents.
Candidate Profile
  • 8+ years of product management or related experience with a focus on analytics platforms, embedded BI, or developer‑oriented data tools
  • Experience with SDK‑based instrumentation, session replay, or in‑app analytics
  • Familiarity with technologies such as DuckDB or similar embedded query engines for in‑process analytics
  • Understanding of modern AI‑analytics paradigms (Text-to-SQL, natural querying, agentic workflows)
  • Ability to design for both technical (engineering, data) and non‑technical (support, GTM) audiences
  • Proven track record of collaborating closely with engineering, AI/ML, and design teams to build performant, scalable systems
Why This Role

This is more than just building dashboards—you’ll be defining the next of analytics experiences. Think intelligent agents, embedded visualizations, and real‑time decisioning, all powered by a unified graph of customer and product data. With an extensible SDK and AI‑architecture, you’ll have the opportunity to build something truly industry‑defining.

Stax welcomes applicants from all backgrounds. Due to expected application volume, we may not be able to respond to all submissions, but shortlisted candidates will be contacted for an introductory conversation.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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