Machine learning engineer Work, Jobs in Lower Earley, Brk (with Salaries)

AIops Engineer
BCA —Hook
- £50,000 - £60,000 a year
- Monday to Friday
- Hybrid work
- Azure
- Scripting
- APIs
- Employee assistance programme
- Employee discount
Quick apply
Technology Specialist
Clevertouch Consulting —New Alresford
- Full-time
- Hybrid work
- CRM software
- Data analysis skills
- SQL
- Free parking
- Work from home
Quick apply
1d
IAM Engineer (CyberArk)
CGI —Reading
- Full-time
- Microsoft Access
- Azure
- AWS
Quick apply
Data Engineer
Castle Trust Bank —Basingstoke
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
- Employee assistance programme
- Employee discount
Quick apply
Machine Learning Intern
Jenoptik AG —Farnborough
- Windows
- Machine learning
- Scripting
7d
QA Engineer (Seinor)
Xe —Bracknell
- Full-time
- AWS
- JavaScript
- Mentoring
- Employee stock purchase plan
- Annual leave
Quick apply
1d
Product Owner
The HR Dept —Chesham
- £60,000 - £75,000 a year
- Full-time
- Hybrid work
- Azure
- Software development
- In-person
Quick apply
4d
Senior Machine Learning Scientist
Software Engineering —Oxford
- £56,000 - £70,000 a year
- Full-time
- Doctoral degree
- Machine learning
- Python
Quick apply
Senior Software Engineer - On Device Machine Learning
Electronic Arts —Guildford
- Hybrid work
- Computer Science
- Engineering
- Master's degree
- Annual leave
AI Technology Coordinator
ME3D-AI —Ascot
- £160,000 a year
- Full-time
- Microsoft Office
- Project management
- Organisational skills
- Life insurance
Quick apply
Cloud Support Engineer, Support Engineering
AWS EMEA SARL (UK Branch) —Thames Valley
- Weekend availability
- Computer Science
- AWS
- Bachelor's degree
Learning Experience Designer
Epicor —Bracknell
- Full-time
- Bachelor's degree
- No degree
- AI
4d
Director, AI Innovation & Emerging Capabilities
CSL Behring —Maidenhead
- Full-time
- AI
3d
Senior Solutions Architect, Physical AI and Robotics at NVAITC
NVIDIA —Reading
- Full-time
- Doctoral degree
- Engineering
- English
Environmental Consultant
Carbon Footprint Ltd —Basingstoke
- £23,500 - £30,000 a year
- Full-time
- Microsoft Excel
- Maths
- Bachelor's degree
- Profit sharing
Quick apply
Continuous Improvement & Innovation Specialist
PerkinElmer —Seer Green
- Remote
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Research Software Engineer - User Configurable AI-Ready Datasets
ECMWF —Reading
- £76,384 - £91,754 a year
- Hybrid work
- System design
- English
- C++
4d
Software Architect - Machine Learning
Beyond Sports —Basingstoke
- £61,860 - £83,190 a year
- Full-time
- Hybrid work
- Azure
- AWS
- Machine learning
- Annual leave
AI Knowledge Architect
eGain —Newbury
- Computer Science
- Master's degree
- AI
6d
Cloud Engineer
SSE —Reading
- £50,100 - £75,100 a year
- Azure
- Windows
- AWS
- Employee discount
- Gym membership
14d

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AIops Engineer

BCA -
Hook

Quick apply

Job details

Permanent
£50,000 - £60,000 a year

Benefits

Cycle to work scheme
Company pension
Employee assistance programme
Employee discount
On-site parking

Qualifications

Azure
Kubernetes
Bash (Unix shell)
Microservices
Terraform
REST
Scripting
APIs
Root cause analysis
AI
Python
PowerShell
SDLC

Full job description

About The Role

Job Title: AI Ops Engineer

Salary: Up to £60,000 + Benefits!

Location: Flexible! Hybrid working, home & UK travel, as & when required

Working Hours: Monday - Friday 40 hours per week

Job Status: Permanent

Join the UK’s largest B2B used vehicle service

At BCA, we’re altogether, more. More than just a normal vehicle remarketing company. More than just any other place to work. We’re Europe's largest vehicle remarketing company, the backbone of the UK’s automotive supply chain, the best place to build the career you want.

Main Purpose of The Role:

The AIops Engineer is responsible for the deployment, operation and optimisation of AI-driven agents across the Microsoft ecosystem, including Copilot for Microsoft 365, Copilot Studio and Agent 365.

This role sits at the intersection of AI engineering, platform engineering and DevSecOps, ensuring AI agents are secure, reliable, scalable and cost-efficient, with strong alignment to enterprise governance.

Role Accountabilities:

Agent Lifecycle Management
Own the end-to-end lifecycle of AI agents across M365 platforms, including deployment, promotion, version control and optimisation

Reliability and Observability
Implement monitoring and tracing using OpenTelemetry, Azure Monitor and Application Insights
Track performance, usage and reliability (SLA/SLO), and proactively resolve issues

Cost Optimisation
Optimise token usage, API consumption and compute costs across AI workloads
Support FinOps practices and cost transparency

Security, DevSecOps and Governance
Embed security into the lifecycle using DevSecOps practices and policy-as-code
Integrate SAST/DAST into CI/CD pipelines
Enforce identity, access controls and compliance using Entra ID and Microsoft Purview
Prevent and manage unauthorised AI usage

Platform Engineering and Automation
Build and maintain CI/CD pipelines for agents and prompts
Use Infrastructure as Code for consistent environments
Deploy and operate containerised services (AKS/Kubernetes)

Integration
Integrate AI agents with Microsoft 365 services, Microsoft Graph, APIs and enterprise systems
Ensure all integrations meet security and architectural standards

Incident Management and Improvement
Lead incident response, root cause analysis and continuous improvement of AI services

Collaboration and Enablement
Work with architecture, security and business teams to deliver practical AI solutions
Provide guidance and documentation to support adoption of M365 agent platforms

Knowledge and Experience:

Required Skills

Experience working within the Microsoft 365 ecosystem, including administration, integration or support of M365 services

Hands-on experience with Copilot for Microsoft 365, Copilot Studio, or comparable agent / conversational AI platforms

Strong experience with CI/CD pipelines, Infrastructure as Code (Terraform/Bicep) and container platforms (AKS/Kubernetes)

Experience with RAG architectures and vector databases (e.g. OpenSearch, FAISS, Azure AI Search)

Proficiency in Python and scripting (PowerShell, Bash, YAML)

Experience building APIs, automation and microservices

Strong understanding of observability tooling, including OpenTelemetry, Log Analytics and Application Insights

Experience integrating with Microsoft Graph, REST APIs and event-driven architectures

Knowledge of DevSecOps practices, including SAST/DAST and secure SDLC

Experience with Microsoft Purview and identity management (Entra ID)

Awareness of FinOps principles and optimising cloud/AI costs

We’ve put everything in place to ensure you thrive. Competitive salaries, strong core values and an excellent benefits package that includes:

Onsite parking
Company Pension Scheme
Cycle to work scheme
An Employee Assistance Programme
Enhanced maternity, paternity, and adoption leave
Access to trained Mental Health First Aiders
Access to BCA Rewards which provides online and store discounts with a range of retailers
And so much more…

As the automotive industry changes, we’re changing with it - putting our people in the front seat for the journey. We’re the number one in what we do for a reason and that’s because of the people we have on our teams. If you want to be a part of a business like this; unrivalled, exciting and appreciative of the work you do, join BCA.

We are proud to be Level 1 Disability Confident and committed to ensuring our recruitment process is inclusive and accessible.

Our policy is to employ the best qualified people and provide equal opportunity for the advancement of employees including promotion and training and not to discriminate against any person because of gender, race, ethnicity, age, sexual orientation, religion, belief, or disability.

Quick apply

Refine Your Search

machine learning engineer jobs in lower earley, brk

AIops Engineer

Technology Specialist

IAM Engineer (CyberArk)

Data Engineer

Machine Learning Intern

QA Engineer (Seinor)

Product Owner

Senior Machine Learning Scientist

Senior Software Engineer - On Device Machine Learning

AI Technology Coordinator

Cloud Support Engineer, Support Engineering

Learning Experience Designer

Director, AI Innovation & Emerging Capabilities

Senior Solutions Architect, Physical AI and Robotics at NVAITC

Environmental Consultant

Continuous Improvement & Innovation Specialist

Research Software Engineer - User Configurable AI-Ready Datasets

Software Architect - Machine Learning

AI Knowledge Architect

Cloud Engineer

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