Lead machine learning engineer Work, Jobs in Bolton, Gtm (with Salaries)

Lead Data & AI Platform Engineer
OrderYOYO —Manchester
- Remote
- AI
- Analytics
Quick apply
D365 Data Conversion Lead
ADI Global Distribution —Oldham
- Full-time
- ERP systems
- English
- Analysis skills
- Free parking
2d
Major Programmes Lead / Senior Programme Director
Turner & Townsend —Manchester
- Full-time
- Master's degree
- Business development
- Team management
Quick apply
4d
Technical Lead (Mobile)
CreateFuture —Manchester
- Full-time
- Hybrid work
- Team management
- Travel
- Mentoring
Quick apply
14d
Lead Implementation Manager
Arrow Global Group —Manchester
- Full-time
- Hybrid work
- PMP
- Machine learning
- APIs
Quick apply
4h
Security Engineering Lead
THG Ingenuity —Manchester
- Full-time
- Computer Science
- Presentation skills
- Bachelor's degree
Quick apply
Lead Delivery Manager
CreateFuture —Manchester
- Full-time
- Hybrid work
- PMP
- Travel
- Conflict management
Quick apply
5h
Senior Product Lead (Conversion & Checkout)
Autotrader —Manchester
- £65,000 - £90,000 a year
- Machine learning
- AI
12d
Senior Specialist, Client Processing Team Lead
The Bank of New York Mellon Corporation —Manchester
- Full-time
- Bachelor's degree
- Financial services
- Training & development
Quality Assurance Lead - Senior Vice President, Sanctions Team
The Bank of New York Mellon Corporation —Manchester
- Full-time
- Bachelor's degree
- Training & development
- AI
Data Engineering Lead
THG —Manchester
- AI
- Annual leave
- Employee assistance programme
Quick apply
Lead Brand Creative
Club L London —Manchester
- Presentation skills
- Travel
- AI
- Annual leave
- Employee discount
Quick apply
Healthcare Strategic Lead, UK Public Sector Healthcare
AWS EMEA SARL (UK Branch) —Manchester
- Full-time
- AWS
- Leadership
Applications, Development and Data Team Leader
Rochdale Council —Rochdale
- £57,404 - £60,664 a year
- Hybrid work
- Continuous improvement
- AI
- Annual leave
14d
Tech Lead (Enterprise Data Programme)- Manchester
FDM Group —Manchester
- Hybrid work
- AWS
- AI
- Leadership
- Annual leave
Lead Software Engineer (iOS)
CreateFuture —Manchester
- Hybrid work
- Travel
- Agile
- AI
Quick apply
1d
Senior Employment Lawyer - Take the lead in Manchester
Napthens LLP —Manchester
- Full-time
- AI
Quick apply
9d
Lead Software Engineer (iOS) (contractor)
CreateFuture —Manchester
- Hybrid work
- Travel
- Agile
- AI
Quick apply
1d
Made Smarter Lead IDT Advisor
Business Support Business Finance (BSBF) —Manchester
- £60,000 a year
- Full-time
- CRM software
- Travel
- Mentoring
3d
AI Product Lead
DBD International —Warrington
- Hybrid work
- Doctoral degree
- Engineering
- Master's degree
6d

I want to receive the latest job alerts for lead machine learning engineer in bolton, gtm

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

Explore jobs in more locations

lead machine learning engineer jobs near bolton, gtm

Lead Data & AI Platform Engineer

OrderYOYO -
Manchester

Quick apply

Job details

Qualifications

Data development experience
Power BI
Data integration
Digital analytics tools
Data quality analysis
UK GDPR
Data architecture experience
Data and database experience
Power BI data visualisation
General Data Protection Regulation (GDPR)
Incident response
ETL data integration
Zendesk
Data warehousing
Marketing automation
Management reporting
HubSpot
AI
Google Analytics
Microsoft Azure
Data warehouse
T-SQL
Analytics

Full job description

Lead Data & AI Platform Engineer

At OrderYOYO, data powers executive reporting, payments, finance, merchant insights, product analytics, AI, marketing automation, operational decision-making, and M&A integration.

We are looking for a Lead Data & AI Platform Engineer to own the next stage of our data platform evolution. This is a hands-on technical leadership role for a strong engineer who can build reliable data systems, modernise our data lake, automate data pipelines, and pioneer the practical use of AI across data engineering, reporting, analytics, and business insight generation.

You will play a central role in making OrderYOYO a more data-driven and AI-enabled company.

Competitive salary, growing international company, and growth opportunities.

Role mission

Your mission is to lead the continuity, modernisation, and AI-enablement of OrderYOYO’s data platform during a critical scaling phase.

Core responsibilities

Lead the architecture and evolution of OrderYOYO’s Microsoft Fabric platform across lakehouse, warehouse, notebooks, pipelines, semantic models, Power BI, and governance.

Make Fabric the trusted source of truth for priority business metrics and reporting.

Drive migration from legacy reporting and fragmented metric tooling into governed semantic models.

Build and improve production-grade data pipelines across APIs, files, events, CRM systems, payment platforms, operational databases, and acquired-company data sources.

Use AI and automation to accelerate ETL/ELT development, data mapping, documentation, testing, report generation, monitoring, and data-quality management.

Design reusable semantic models, DAX measures, and governed metric definitions for leadership, finance, commercial, product, marketing, payments, support, and operations.

Build automated reporting and insight-generation capabilities that reduce manual analysis and improve decision speed.

Establish robust orchestration, monitoring, alerting, lineage, data-quality checks, and incident-response processes.

Support CRM and operational data integrations, including identity mapping, schema mapping, outbound data feeds, reverse-ETL patterns, and monitoring.

Create repeatable ingestion and modelling patterns for acquired businesses, making future integrations faster, cleaner, and more auditable.

Define engineering standards for data pipelines, notebooks, semantic models, documentation, code review, testing, release management, and runbooks.

Lead and mentor data engineers, analytics engineers, BI analysts, data scientists, and ML/AI practitioners.

Partner with business stakeholders to turn ambiguous questions into reliable metrics, trusted reports, and scalable data products.

Ensure data and AI solutions are secure, privacy-conscious, auditable, and aligned with GDPR and internal governance requirements.

Must-have requirements

Strong experience in modern data platform engineering, analytics engineering, data warehousing, or data architecture.

Proven experience leading complex data-platform work in a SaaS, marketplace, fintech, payments, e-commerce, B2B2C, or multi-region business.

Strong Microsoft Fabric capability, or deep Azure Synapse, Databricks, Delta Lake, or lakehouse experience with the ability to specialise quickly in Fabric.

Expert SQL/T-SQL skills.

Strong Python or PySpark engineering capability, with experience building maintainable, tested, production-grade data pipelines.

Strong Power BI and DAX experience, including semantic modelling, incremental refresh, performance tuning, model governance, and capacity/cost awareness.

Practical experience using AI or automation to improve data engineering, reporting, documentation, testing, monitoring, migration, or developer productivity.

Experience building or operating production data systems with monitoring, alerting, incident triage, root-cause analysis, data-quality checks, lineage, and runbooks.

Experience leading legacy-to-modern data platform migrations, including metric parity, stakeholder validation, change control, and safe decommissioning.

Experience leading, mentoring, or technically guiding data engineers, analytics engineers, BI analysts, data scientists, or ML engineers.

Strong judgement on when to move fast, when to standardise, when to automate, and when to say “not yet” with evidence.

Strong-to-have experience

Experience with Azure OpenAI, LLMs, RAG, AI agents, prompt/version management, or AI-assisted development workflows.

Experience building AI-generated reporting, natural-language analytics, business copilots, automated insight generation, or merchant/customer intelligence tools.

Experience with churn prediction, recommendations, personalisation, marketing automation, fraud/risk analytics, payments analytics, or finance automation.

CRM-side data flows and reverse-ETL patterns, especially HubSpot, Salesforce, Zendesk, or similar platforms.

M&A or acquired-company data integrations, including schema discovery, data profiling, file/API ingestion, master-data mapping, migration QA, and reporting continuity.

GA4, BigQuery export, Google Ads, SEM feeds, Segment, or other event and marketing analytics sources.

Responsible AI and governance experience, including RBAC, PII handling, audit logs, human approval flows, explainability, and GDPR-conscious design.

Apply now if you fulfill the above criteria, we look forward to hearing from you.

Quick apply

Refine Your Search

lead machine learning engineer jobs in bolton, gtm

Lead Data & AI Platform Engineer

D365 Data Conversion Lead

Major Programmes Lead / Senior Programme Director

Technical Lead (Mobile)

Lead Implementation Manager

Security Engineering Lead

Lead Delivery Manager

Senior Product Lead (Conversion & Checkout)

Senior Specialist, Client Processing Team Lead

Quality Assurance Lead - Senior Vice President, Sanctions Team

Data Engineering Lead

Lead Brand Creative

Healthcare Strategic Lead, UK Public Sector Healthcare

Applications, Development and Data Team Leader

Tech Lead (Enterprise Data Programme)- Manchester

Lead Software Engineer (iOS)

Senior Employment Lawyer - Take the lead in Manchester

Lead Software Engineer (iOS) (contractor)

Made Smarter Lead IDT Advisor

AI Product Lead

I want to receive the latest job alerts for lead machine learning engineer in bolton, gtm

Related Searches

Explore jobs in more locations

Lead Data & AI Platform Engineer

Role mission

Core responsibilities

Must-have requirements

Strong-to-have experience

Jobseeker tools

Employer Tools

Browse

Stay Connected