Machine learning engineer Work, Jobs in Langley Park, Dur (with Salaries)

Platform Engineer
CGI —Newcastle upon Tyne
- Full-time
- Azure
- AWS
- Mentoring
Quick apply
Embedded Software Engineer
OnlyCat —Cramlington
- £33,000 - £60,000 a year
- Full-time
- AWS
- C++
- Machine learning
- Free parking
Quick apply
11d
Information Governance Manager
Somerset Bridge Group —Newcastle upon Tyne
- Full-time
- Hybrid work
- Management
- Presentation skills
- Financial services
- Annual leave
- Referral programme
Quick apply
9d
Service Desk Engineer
Waterstons —Durham
- £28,000 - £32,000 a year
- Weekend availability
- Hybrid work
- Azure
- AWS
- IT
- Employee assistance programme
- Sick pay
Data Architect
Somerset Bridge Group —Newcastle upon Tyne
- Full-time
- Hybrid work
- Azure
- Machine learning
- Contracts
- Annual leave
- Referral programme
Quick apply
Project Manager
Origin —Newcastle upon Tyne
- £60,000 - £65,000 a year
- Full-time
- Microsoft Word
- Microsoft Excel
- Doctoral degree
- Work from home
- Sick pay
Quick apply
4d
Full Stack Sofware Engineer
CGI —Newcastle upon Tyne
- Full-time
- Azure
- Java
- AWS
Quick apply
Senior Machine Learning Engineer
Sage —Newcastle upon Tyne
- Hybrid work
- AWS
- Machine learning
- APIs
Mechanical Design / Instrumentation / Project Engineer
J R Dynamics Ltd —Cramlington
- £24,500 - £35,000 a year
- Full-time
- AutoCAD
- Engineering
- Master's degree
- Free parking
Quick apply
Software Engineer
Baker Hughes —Cramlington
- Full-time
- Remote
- Azure
- Engineering
- Bachelor's degree
- Flexible schedule
- Life insurance
Research Assistant/Associate
Newcastle University —Newcastle upon Tyne
- £33,951 - £36,636 a year
- Full-time
- Doctoral degree
- Master's degree
- University
10d
IT Support Engineer
Utilicom —Stockton-on-Tees
- £27,500 - £37,500 a year
- Weekend availability
- Hybrid work
- Azure
- AWS
- Travel
- Free parking
Quick apply
6d
Casual Tutor
Darlington Borough Council —Durham
- £26.90 an hour
- Seasonal
- Presentation skills
- AI
6d
DevOps Engineer - Gateshead or Leeds
TEAM RH FITNESS LTD —Gateshead
- £50,000 - £50,001 a year
- Hybrid work
- DevOps
- AWS
- Computer networking
Quick apply
9d
Graduate AI Developer
TSG —Newcastle upon Tyne
- £0.01 - £26,000.00 a year
- Azure
- Master's degree
- JavaScript
- Annual leave
- Employee assistance programme
Quick apply
Metallurgist
Element Materials Technology —Middlesbrough
- Laboratory experience
- AWS
- Maths
9d
Highways Inspector
Darlington Borough Council —Durham
- £30,001 - £40,000 a year
- Full-time
- Maintenance
- Presentation skills
- AI
- Annual leave
1d
Graduate AI Developer
Technology Services Group —Newcastle upon Tyne
- £26,000 a year
- Azure
- Master's degree
- JavaScript
- Annual leave
- Employee assistance programme
AI Automation Apprentice
Sage —Newcastle upon Tyne
- Azure
- Mentoring
- Business
5d
Cloud Platform Engineer
NECSWS —Hartlepool
- Full-time
- Hybrid work
- Azure
- DevOps
- AWS
- Annual leave
Quick apply

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Platform Engineer

CGI -
Newcastle upon Tyne

Quick apply

Job details

Permanent | Full-time

Benefits

Company pension

Qualifications

Cloud infrastructure
Azure
Kubernetes
Google Cloud Platform
AWS
Terraform
Mentoring
IT

Full job description

At CGI, we engineer secure, scalable cloud platforms that enable transformation across the UK’s most critical sectors. As a Platform Engineer, you will take ownership of designing and evolving resilient digital platforms that accelerate delivery and power mission-critical services. Working across cloud infrastructure, automation, security, and observability, you will help set engineering standards and drive measurable improvements in reliability, performance, and cost efficiency. Within a collaborative, multidisciplinary environment, you will have the autonomy to innovate, influence platform strategy, and continuously improve how we deliver for our clients — shaping modern cloud ecosystems that make a national impact.

CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK ‘Best Employer’ by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you’ll be part of an open, friendly community of experts. We’ll train and support you in taking your career wherever you want it to go.

This is a hybrid position based out of Newcastle.

Your future duties and responsibilities

In this role, you will design, automate, and continuously improve cloud platforms across multiple client programmes. You will collaborate with architects, developers, and delivery leaders to ensure platforms are secure, scalable, observable, and aligned with engineering best practice. By taking ownership of infrastructure design, automation frameworks, and governance standards, you will enable faster, safer, and more reliable delivery for mission-critical systems.

You will also play a key role in strengthening engineering capability — guiding teams on Infrastructure as Code, CI/CD, containerisation, and security patterns, while contributing to bids and driving platform innovation across engagements. Supported by a strong DevOps and Platform community, you will be empowered to experiment, share knowledge, and elevate standards across the organisation.

Key responsibilities:

Design & Evolve secure, scalable cloud platforms across Azure, AWS, or GCP

Define & Automate Infrastructure as Code standards and reusable modules

Build & Optimise CI/CD pipelines for efficient, secure delivery

Enable & Support containerised workloads and orchestration platforms

Implement & Improve observability, logging, metrics, and alerting standards

Secure & Govern platforms in line with enterprise security frameworks

Troubleshoot & Resolve critical incidents, strengthening resilience and diagnostics

Optimise & Control cloud costs using FinOps principles

Influence & Contribute to bids, technical strategy, and engineering communities

Required qualifications to be successful in this role

You will bring strong hands-on experience designing and operating cloud platforms within complex environments. You combine technical depth with a pragmatic approach to balancing quality, pace, cost, and operational resilience. You are confident engaging with multidisciplinary teams and communicating technical concepts clearly.

You should have:

Proven experience designing and maintaining cloud infrastructure in Azure, AWS, or GCP

Strong expertise in Infrastructure as Code using Terraform, ARM/Bicep, or CloudFormation

Experience building and operating modern CI/CD pipelines

Experience supporting containerised workloads and orchestration platforms

Strong understanding of observability, monitoring, and diagnostics practices

Knowledge of secure and resilient infrastructure design aligned to enterprise standards

Experience troubleshooting platform-level incidents and driving recovery

Ability to produce clear documentation and communicate effectively with stakeholders

It would be advantageous to have:

Experience with multi-cloud or hybrid cloud strategies

Experience contributing to technical bids or solution proposals

Experience mentoring engineers or leading technical improvement initiatives

Relevant certifications (AWS, Azure, Terraform, Kubernetes)

#LI-MW2

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our team—one of the largest IT and business consulting services firms in the world.

Quick apply

Refine Your Search

machine learning engineer jobs in langley park, dur

Platform Engineer

Embedded Software Engineer

Information Governance Manager

Service Desk Engineer

Data Architect

Project Manager

Full Stack Sofware Engineer

Senior Machine Learning Engineer

Mechanical Design / Instrumentation / Project Engineer

Software Engineer

Research Assistant/Associate

IT Support Engineer

Casual Tutor

DevOps Engineer - Gateshead or Leeds

Graduate AI Developer

Metallurgist

Highways Inspector

Graduate AI Developer

AI Automation Apprentice

Cloud Platform Engineer

I want to receive the latest job alerts for machine learning engineer in langley park, dur

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