Infrastructure engineer Work, Jobs in Cottenham, Cam (with Salaries)

Efficiency Engineer
Arm —Cambridge
- £55,300 - £74,800 a year
- Hybrid work
- Machine learning
- AI
- Analytics
IT Operations Manager
SPT Labtech —Cambridge
- Full-time
- Hybrid work
- Team management
- Leadership
Quick apply
AI Infrastructure Engineer (Storage)
CommonAI C.I.C. —Cambridge
- Full-time
- Analysis skills
- Scripting
- Communication skills
Quick apply
Hardware Security Engineer - Consultant
Awerian —Cambridge
- Full-time
- Bachelor's degree
- Computer networking
- In-person
- Life insurance
Quick apply
Embedded Software Engineer, Ring
Evi Technologies Limited - C67 —Cambridge
- Full-time
- Computer Science
- Software troubleshooting
- Engineering
Dev Ops / Platform Engineer
Neat —Cambridge
- DevOps
- Databases
- In-person
Quick apply
1st / 2nd Line Engineer
Pushforward Secondary Education Ltd —Bury St. Edmunds
- £28,000 - £30,000 a year
- Full-time
- Data entry
- SharePoint
14d
Senior Cyber Security Engineer
Leidos —Huntingdon
- £61,500 - £78,800 a year
- Full-time
- Travel
- Agile
- Linux
- Annual leave
- Work from home
Cloud Platform / Production Engineer
Ipsos —Cambridge
- Continuous improvement
- Annual leave
Staff DevOps Engineer
Renesas Electronics —Cambridge
- Full-time
- DevOps
- Mentoring
- In-person
- Free parking
- Referral programme
Quick apply
Senior Machine Learning Engineer
Qureight Ltd —Cambridge
- Full-time
- Hybrid work
- Machine learning
- Communication skills
- Annual leave
- Life insurance
Quick apply
12d
Staff Engineer (ML Engineer)
Graphcore —Cambridge
- Machine learning
- Annual leave
Infrastructure Team Lead
Speechmatics —Cambridge
- Hybrid work
- Team management
- Training & development
- Communication skills
R&D Software Engineer
Aveva —Cambridge
- Full-time
- Hybrid work
- Software development
- In-person
- Annual leave
Senior Cloud Engineer
Entrust —Cambridge
- Full-time
- Hybrid work
- Scripting
- Communication skills
IT Workplace Specialist
Mettler Toledo —Royston
- Travel
- SharePoint
- Communication skills
- Annual leave
Senior Security Engineer
Microsoft —Cambridge
- £74,700 - £122,600 a year
- Full-time
Machine Learning Engineer | Neurobiology | Dr Albert Cardona | LMB 2611
UK Research and Innovation (UKRI) —Cambridge
- £52,253 - £60,834 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Back-end Engineer
Renesas Electronics —Cambridge
- Full-time
- Remote
- Analysis skills
- Organisational skills
- In-person
- Free parking
- Referral programme
Quick apply
Full Stack Developer – CT Office Incubation Team
Aveva —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Bachelor's degree
- Travel
- Annual leave
7d

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infrastructure engineer jobs near cottenham, cam

Efficiency Engineer

Arm -
Cambridge

Apply Now

Job details

£55,300 - £74,800 a year

Qualifications

Dashboard visualisation
Machine learning
Data pipeline
Multidisciplinary collaboration
AI
Analytics

Full job description

Job ID 2026-17259 Date posted Aug. 03, 2026 Location Cambridge, United Kingdom Category Software Engineering

Job Overview:

We are looking for an Efficiency Engineer to support the data-driven optimization, analysis and maintenance of Arm’s engineering platforms. This role will work as part of a team effort to improve system utilisation / efficiency / cost-performance and touch on forecasting accuracy and infrastructure strategy.

Working within the Productivity Engineering group, there will be a focus on metrics, automation, data-engineering and problem-solving where applicable to efficiency topics, in a metrics-first / data-driven-decisions environment. We expect this work to drive scalability and vendor strategy across HPC compute, cloud, Emulation and FPGA environments.

Responsibilities:

Platform Optimization and Systems Engineering: Contributing to improvements in HPC scheduling and infrastructure efficiency.
Assist with performance benchmarking activities, to help support platform decisions.
Observability and Performance Analysis: Developing dashboards and visualisations.
Cost and Resource Optimisation: Analysing Cost and Usage Reports (CUR) and infrastructure metrics to support forecasting, budgeting, and optimization strategies for large-scale compute environments.
Build and maintain scalable analytics frameworks to measure utilisation, capacity, and workload behaviour.
Partner with engineering, operations, and finance teams to ensure data-driven decision making.

Required Skills and Experience :

Background in distributed HPC, cloud environments, data engineering & analytics.
Knowledge of EDA workflows and semiconductor engineering environments.
Proficiency in Python and data analysis/ML frameworks.
Ability to turn sophisticated data into clear, actionable strategy.

“Nice To Have” Skills and Experience :

Experience with IBM Spectrum LSF or other job schedulers.
Familiarity with NetApp or high-performance storage systems.
Experience applying AI/ML to workload optimization or resource management.
Experience building production-grade data pipelines.
Exposure to FPGA and Emulation infrastructure.

In Return:

Join a collaborative, fast paced team solving significant platform challenges. There will be room to grow technically, contribute directly to platform strategy, and improve performance for thousands of engineers across. We look forward to adding a dynamic individual contributor to our team!

Additional Information

Please note that no relocation package is available for this role.

If skilled worker sponsorship is required, Arm will meet costs associated with sponsorship for the employer only. All fees associated with the individual’s application e.g. visa application fee and Immigration Health Surcharge, will be the responsibility of the successful candidate.

#LI-ZT1

Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email [email protected]. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working at Arm

Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Salary Range:

£55,300

£74,800

per year

Apply Now

Refine Your Search

infrastructure engineer jobs in cottenham, cam

Efficiency Engineer

IT Operations Manager

AI Infrastructure Engineer (Storage)

Hardware Security Engineer - Consultant

Embedded Software Engineer, Ring

Dev Ops / Platform Engineer

1st / 2nd Line Engineer

Senior Cyber Security Engineer

Cloud Platform / Production Engineer

Staff DevOps Engineer

Senior Machine Learning Engineer

Staff Engineer (ML Engineer)

Infrastructure Team Lead

R&D Software Engineer

Senior Cloud Engineer

IT Workplace Specialist

Senior Security Engineer

Machine Learning Engineer | Neurobiology | Dr Albert Cardona | LMB 2611

Back-end Engineer

Full Stack Developer – CT Office Incubation Team