Manager (ai models) Work, Jobs in Cambridge, Eng (with Salaries)

Product Manager
IntelliSense.io —Cambridge
- Machine learning
- Product management
- AI
Quick apply
Product Manager, Vertical Solutions
Neural Concept —Cambridge
- Full-time
- Hybrid work
- Product management
- AI
- Python
- Flexible schedule
Global & Priority Markets Customer Engagement Director
AstraZeneca —Cambridge
- CRM software
- Bachelor's degree
- AI
2d
Senior Manager, Sovereign Technical Expert
Arm —Cambridge
- £89,900 - £121,700 a year
- Hybrid work
- English
- Business development
- Analysis skills
Portfolio Obsolescence Manager
Leidos —Huntingdon
- £61,500 - £78,800 a year
- Full-time
- Communication skills
- Annual leave
- Work from home
Technical Product Manager
Speechmatics —Cambridge
- Hybrid work
- Machine learning
- APIs
- AI
Senior Project Manager
Huntingdonshire District Council —Huntingdon
- £49,641 - £55,624 a year
- Full-time
- Hybrid work
- Team management
- No degree
- Budgeting
- Flexitime
Senior Project Manager
ABB Limited —Saint Neots
- Hybrid work
- Engineering
- Continuous improvement
- Travel
- Annual leave
- Employee assistance programme
Quick apply
6d
Senior Program Manager
MathWorks —Cambridge
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
Project Technical Lead - AI Systems Simulation
CommonAI C.I.C. —Cambridge
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Quick apply
Marketing Analytics Manager – 12 month Fixed Term Contract
Redgate —Cambridge
- £55,000 - £70,000 a year
- Hybrid work
- Heavy lifting
- Data analysis skills
- Analysis skills
- Annual leave
PPC Innovation & Delivery Lead
Genie Ventures —Cambridge
- £41,010 - £52,727 a year
- Full-time
- Hybrid work
- Continuous improvement
- Travel
- Agile
- Annual leave
- Referral programme
7d
Lead Business Analyst
Graphcore —Cambridge
Paid Social Innovation & Delivery Lead
Genie Ventures —Cambridge
- £41,010 - £52,727 a year
- Full-time
- Hybrid work
- Continuous improvement
- Travel
- Agile
- Annual leave
- Referral programme
AIOps Lead
M-KOPA —Cambridge
- Full-time
- Remote
- AI
- Leadership
7d
Global Capability & Training Lead
Mundipharma —Cambridge
- Full-time
- CRM software
- Analysis skills
- Continuous improvement
Business Development Proposals Manager
DLRC —Letchworth
- Salesforce
- Continuous improvement
- Organisational skills
6d
Manager, Deal Finance & M&A
AstraZeneca —Cambridge
- Master's degree
- Machine learning
- AI
13d
Senior Product Manager, Cloud Operations & Infrastructure (COI)
Aveva —Cambridge
- Full-time
- Hybrid work
- DevOps
- Analysis skills
- Product management
- Annual leave
9d
Director, Head of Global Procurement
Bicycle Therapeutics —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Analysis skills
- Team management
- Annual leave
- Employee assistance programme
Quick apply
14d

I want to receive the latest job alerts for manager (ai models) in cambridge, eng

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Product Manager

IntelliSense.io -
Cambridge

Quick apply

Job details

Benefits

Unlimited paid holidays

Qualifications

Data integration
Software deployment
Stakeholder liaison
ETL data integration
Product development
Machine learning
Product management
Risk management
Technical roadmaps
Technical product management experience
AI

Full job description

Are you ready to deploy Agentic AI into the Industrial World?

IntelliSense.io is offering a great opportunity for a talented Product Manager to lead the development and delivery of Industrial AI agents for global Minerals and Metals operators. Today we are deploying AI-powered software solutions that drive real-time optimisation, delivering millions in value to some of the world’s largest industrial companies.

We are pioneers in Objective AI ( ODAI) with fundamental physics that characterises the physical world with out-of-the-box industry-specific solutions. AI delivers high-value decision recommendations, acting as the brains of the operation. These recommendations are delivered to humans as their role-specific co-pilots augment human intelligence or direct to the execution systems (machines), making operations autonomous.

With a global team of 70 employees and offices across four continents, our HQ is in Cambridge, UK, with regional offices in Saudi Arabia, Chile, Australia, and Ireland.

About the Role

We are evolving our Industrial AI Operating System for the global mining sector from a suite of solutions into a unified platform. We're looking for a Product leader to own the foundational data architecture and cross-app consistency required for this transition. This role is ideal for an experienced professional who understands the critical impact of robust data strategy in industrial environments.

What You'll Own

Data in/out governance You will define and own how data enters and leaves the platform. Today that is ad hoc. You will replace it with a principled, scalable strategy (covering integration standards, ingestion rules, and egress governance) and make it stick across engineering and customer deployments.
Cross-app feature strategy global optimisation configurations, Core Features (equations, alerts, and reports) that span every product and are the main tools of our agentic offering. Right now each app treats them differently. You will unify the strategy, resolve the inconsistencies, and produce specifications that engineering can build to consistently.
Edge deployment: Our Edge recommendation layer is a core part of the product and the goal is to have it running on every mine. You will own decisions around model drift, update cadence, and auto-pause safety.
Platform cost reduction: You will identify software patches and improvements that reduce the internal cost-to-mine, translating operational pain into a prioritised product roadmap.

What We're Looking For

Essential

5+ years in enterprise software product management, owning a complex, multi-component product end-to-end
Background in industrial, scientific, or process-industry software — mining, energy, manufacturing, chemicals, or similar
Strong grasp of data integration patterns: APIs, event-driven architectures, ETL, and the governance challenges they bring
Experience making cross-platform feature strategy decisions — what gets standardised, what gets customised, and why
Able to move between strategic thinking and precise, buildable specifications without losing altitude
Strong stakeholder management across engineering, sales, and customer success
Experience working in highly automated, modern product operations environments

Nice to have

Experience with edge computing or on-premise deployment in industrial environments
Familiarity with ML model lifecycle management — drift detection, retraining, and what that means for end users
Exposure to industrial data standards or ontologies (ISO 15926, OSDU, or similar)
Experience working with mining, metallurgical, or geological domain experts

How We'll Measure Success

A documented data strategy and governance framework in place and adopted by engineering
Cross-app feature inconsistencies resolved and shipped as a unified standard
Edge model drift policy defined, auto-pause safety specified, and customer communication framework live
Measurable reduction in cost-to-mine from platform improvements
Existing deployment base brought to a consistent, standardised state

Who You Are

You have spent your career making complex industrial or scientific software work for demanding customers. You understand that in this industry, a poorly governed data integration or an unexpected auto-pause event has real operational consequences, not just a ticket in the backlog. That understanding shapes how you write requirements, how you manage risk, and how you earn trust.

You are a systems thinker who can hold the end-to-end value chain in your head while staying precise about the detail that matters. You do not need a perfect brief to get started.

Why Join Us?

Unlimited Holidays
Flexible Working Conditions
Paid parental leave and sick leave
The opportunity to leave your mark on a game-changing technology company

Excited to shape the future of Industrial AI?
We’d love to hear from you!

Quick apply

Refine Your Search

manager (ai models) jobs in cambridge, eng

Product Manager

Product Manager, Vertical Solutions

Global & Priority Markets Customer Engagement Director

Senior Manager, Sovereign Technical Expert

Portfolio Obsolescence Manager

Technical Product Manager

Senior Project Manager

Senior Project Manager

Senior Program Manager

Project Technical Lead - AI Systems Simulation

Marketing Analytics Manager – 12 month Fixed Term Contract

PPC Innovation & Delivery Lead

Lead Business Analyst

Paid Social Innovation & Delivery Lead

AIOps Lead

Global Capability & Training Lead

Business Development Proposals Manager

Manager, Deal Finance & M&A

Senior Product Manager, Cloud Operations & Infrastructure (COI)

Director, Head of Global Procurement

I want to receive the latest job alerts for manager (ai models) in cambridge, eng

Related Searches

Explore jobs in more locations

Are you ready to deploy Agentic AI into the Industrial World?

About the Role

What You'll Own

What We're Looking For

How We'll Measure Success

Who You Are

Why Join Us?

Jobseeker tools

Employer Tools

Browse

Stay Connected