lead machine learning engineer Work, Jobs in yateley, ham (with Salaries)

Engineering lead
Nomad Foods —Woking
- AI
Salesforce Technical Lead
Thames Water Utilites —Reading
- Up to £85,000 a year
- Full-time
- Hybrid work
- Azure
- Salesforce
- DevOps
- Annual leave
Lead, People Data & Insights Engineer
McLaren Racing —Woking
- Full-time
- Hybrid work
- SQL
- Bachelor's degree
- Life insurance
Quick apply
11d
SRE Technical Lead
Capgemini —Woking
- Hybrid work
- AWS
AI Project and Transformation Lead
Boehringer Ingelheim Ltd. —Bracknell Forest
- Full-time
- Hybrid work
- Project management
- No degree
- AI
10d
Lead Business Analyst
Allianz —Guildford
- £70,000 a year
- Full-time
- Hybrid work
- Bachelor's degree
- Agile
- Financial services
- Employee discount
9d
Solution Architect Team Manager
Clinisys —Woking
- Remote
- Microsoft Outlook
- Management
- Maintenance
AI Strategy Lead
Loftware UK —Reading
- Hybrid work
- Azure
- AWS
- Product management
Quick apply
Team Manager Creative Studio
Infor —Farnborough
- Hybrid work
- Project management
- Travel
- Organisational skills
Professional Services Consultant Lead (ICE)
Clinisys —Woking
- Customer service
- Project management
- Bachelor's degree
Engineering Technical Lead
Softcat —Marlow
- Hybrid work
- Azure
- SQL
- AWS
- Flexible schedule
AI Market Content Lead
Infor —Farnborough
- Hybrid work
- Project management
- Travel
- AI
Application Security Lead (Contractor)
Canon —Uxbridge
- £500 - £600 a day
- Full-time
- Azure
- AWS
- Software development
Lead Python Engineer
CGI —Leatherhead
- Full-time
- DevOps
- AWS
- Mentoring
Quick apply
Lead AI Agent Engineer
Profitero —Wokingham
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
- Flexible schedule
- Referral programme
Quick apply
Lead Platform Engineer
Elanco —Hook
- Full-time
- Azure
- DevOps
- JavaScript
Lead Software Engineer - GammaLabs
Pragma —Newbury
- DevOps
- Java
- SQL
Lead Mobile Engineer - Android
BigChange —Reading
- Java
- Software development
- APIs
- Annual leave
- Employee assistance programme
Quick apply
Contingent Workforce Lead
Copperleaf Technologies Inc. —Staines-upon-Thames
- Full-time
- ERP systems
- Bachelor's degree
- AI
Software Team Lead
Roke —Woking
- Full-time
- Hybrid work
- Azure
- Java
- AWS

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Engineering lead

Nomad Foods -
Woking

Apply Now

Job details

Qualifications

Software deployment
Business processes
Quality management
GitHub
AI

Full job description

Overview

A product-minded Power Platform and AI engineering leader who is accountable for outcomes and able to balance hands-on delivery with leading a workload across multiple initiatives. Comfortable taking ambiguous business requirements, running structured discovery, and turning them into clear user stories, acceptance criteria, solution designs, and a prioritised delivery backlog.

Skilled at influencing across business and technology, setting pragmatic standards (Power Platform governance, security, DLP, environment strategy, ALM with GitHub and pipelines) while enabling maker autonomy through templates, coaching, and guardrails. Communicates clearly with technical and non-technical stakeholders, and translates risk, compliance, and operational considerations into practical actions and priorities.

Responsibilities

Product Intake, Delivery & Automation

Establish a clear intake-to-delivery process: discovery, user stories, acceptance criteria, prioritised backlog, and release plans for Power Platform and Copilot initiatives
Create and maintain templates and reusable components for common patterns (Power Apps, Power Automate, Dataverse, connectors, approvals, notifications, integrations) to reduce cycle time and improve consistency
Measure and improve flow and outcomes using lead time, deployment frequency, defect/rework rate, adoption/usage, and automation savings with transparent reporting to stakeholders

Operational Ownership, Monitoring & Support

Define service levels for business-critical apps/flows/bots and implement monitoring, alerting, dashboards, and runbooks (including flow failures, connector issues, and capacity signals)
Run effective incident triage and support processes with clear ownership, escalation paths, and blameless reviews to reduce repeat failures and improve reliability
Improve resilience through environment strategy, controlled releases, automated testing where appropriate, and documented recovery steps (including rollback and break-glass access)

Copilot / AI Solution Lifecycle

Operationalise Copilot Studio and AI-enabled solution lifecycle practices: versioning, approvals, test plans, safe rollout/rollback, and change control aligned to governance
Implement monitoring for response quality, grounding/data access, safety signals, latency, cost, and adoption; ensure clear ownership and escalation paths for issues
Embed governance controls aligned to security, privacy, and compliance requirements (data handling, access controls, audit logs, retention) for all AI-assisted experiences

Tooling, ALM & Cost Management

Own and standardise the Power Platform toolchain and ALM approach (solutions, pipelines, GitHub repos, environments), promoting code quality, review, and repeatable deployments
Manage platform capacity and cost (licensing, Dataverse storage, premium connectors, Copilot/AI consumption) with transparent reporting and optimisation actions

Qualifications

Proven experience leading delivery across Power Platform (Power Apps, Power Automate, Dataverse) in a product or enterprise environment, balancing hands-on build with leading a workload
Strong understanding of Power Platform architecture, environment strategy, Dataverse design, connector/integration patterns, and performance considerations
Demonstrable experience implementing Power Platform ALM (solutions, source control in GitHub, branching/code review, automated deployment pipelines, and environment promotion)
Experience with Copilot Studio and/or integrating AI capabilities into business processes, with an understanding of responsible AI, data boundaries, and prompt/response quality management
Strong stakeholder management and facilitation skills; able to run discovery workshops, translate needs into user stories and acceptance criteria, and manage priorities with transparency
Desirable: Power Platform CoE/governance experience (DLP, environment strategy), security fundamentals, and experience managing licensing/capacity and enterprise-scale adoption

Apply Now

Refine Your Search

lead machine learning engineer jobs in yateley, ham

Engineering lead

Salesforce Technical Lead

Lead, People Data & Insights Engineer

SRE Technical Lead

AI Project and Transformation Lead

Lead Business Analyst

Solution Architect Team Manager

AI Strategy Lead

Team Manager Creative Studio

Professional Services Consultant Lead (ICE)

Engineering Technical Lead

AI Market Content Lead

Application Security Lead (Contractor)

Lead Python Engineer

Lead AI Agent Engineer

Lead Platform Engineer

Lead Software Engineer - GammaLabs

Lead Mobile Engineer - Android

Contingent Workforce Lead

Software Team Lead

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