Staff ai technology Work, Jobs in Babraham, Cam (with Salaries)

Staff AI Technology Specialist
Arm —Cambridge
- £97,300 - £131,700 a year
- Hybrid work
- Master's degree
- AI
3d
Research Analyst - Research and Innovation Ecosystems
Rand Europe —Cambridge
- From £33,000 a year
- Full-time
- Hybrid work
- English
- No degree
- Free parking
- Sick pay
Quick apply
QA Engineer
Fleet Assist —Huntingdon
- £30,000 - £40,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- AI
- Free parking
- Annual leave
Quick apply
Staff AI Engineer | AI Platform, LLM Applications, RAG, Evaluation & Backend Systems
Nexans —Cambridge
- From £58,068.23 a year
- Part-time
- Master's degree
- AWS
- In-person
- Free parking
Quick apply
5d
Deputy Chief Information Officer (Digital Services)
East of England Community Health and Care NHS Trust —Saint Ives
- £94,356 - £108,814 a year
- Full-time
- Travel
Programme Coordinator
Raspberry Pi Foundation —Cambridge
- £32,000 - £36,000 a year
- Part-time
- Data analysis skills
- University
- Travel
- Annual leave
Quick apply
6d
MPhil in Precision Medical Imaging & AI Course (PREMIA) Coordinator (Fixed Term)
University of Cambridge —Cambridge
- £31,236 - £35,608 a year
- Administrative experience
- IT
- Communication skills
7d
Fitness, Strength and Conditioning Coach
University of Cambridge —Cambridge
- £27,319 - £31,236 a year
- Weekend availability
- Customer service
- Mentoring
- Cleaning
14d
Staff ML Engineer - Developer Tools
Arm —Cambridge
- £97,300 - £131,700 a year
- Hybrid work
- Machine learning
- Agile
5d
Enterprise Systems Analyst & AI Enablement - Qualcomm, Cambridge, UK
Qualcomm —Cambridge
- Doctoral degree
- Master's degree
- Presentation skills
7d
Digital Marketing & Operations Manager
The School of Photography —Braintree
- £35,000 - £63,000 a year
- Full-time
- Social media management
- In-person
- AI
- Annual leave
Quick apply
10d
Staff Engineer (ML Engineer)
Graphcore —Cambridge
- Machine learning
- Annual leave
Staff Linux Support Engineer
Arm —Cambridge
- £97,300 - £131,700 a year
- Hybrid work
- C++
- Linux
- Communication skills
Staff Hardware System Test Engineer
Graphcore —Cambridge
- Quality control
- Scripting
- Leadership
- Annual leave
Communications Executive - Internal Communication
Huntingdonshire District Council —Huntingdon
- £35,468 - £39,671 a year
- Full-time
- Hybrid work
- Flexitime
2d
Staff Full Stack Software Engineer
Arm —Cambridge
- £97,300 - £131,700 a year
- Hybrid work
University Assistant Professor
University of Cambridge —Cambridge
- £47,389 - £59,966 a year
- Research
- Teaching
Deputy Development Director
Fitzwilliam College —Cambridge
- Full-time
- Master's degree
- Organisational skills
- AI
- Free parking
- Annual leave
CCTV Monitoring Centre Operator
Huntingdonshire District Council —Huntingdon
- £28,550 - £29,668 a year
- Part-time
- Flexitime
Ecology Officer
Huntingdonshire District Council —Huntingdon
- £41,934 - £46,945 a year
- Full-time
- Communication skills
- Flexitime
1d

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Staff AI Technology Specialist

Arm -
Cambridge

Apply Now

Job details

£97,300 - £131,700 a year
3 days ago

Qualifications

Law
MCP
Technical support
Master's degree
ARM
AI

Full job description

Job Overview:

We are developing a central AI Platform to enable the safe, scalable, and efficient use of AI across Arm’s engineering teams, and we're looking for an engineer to join us. This role involves both user enablement and hands-on engineering for someone deeply engaged with AI technology. You will learn how Arm engineers currently apply AI, support their current usage, anticipate their future needs, and use your industry knowledge to help build Arm's AI Platform.

Participate in production support and our paid on-call rota for high impact incident response.

Responsibilities:

You will initially contribute in three key areas:

1. Understanding AI use cases and emerging technology:

Stay informed about the AI industry landscape, encompassing areas such as models, agents, MCP, retrieval, evaluation, coding assistants, workflow automation, AI safety tooling, and vendor offerings.
Gain comprehensive insight into the ways Arm engineers apply AI today. Identify where safe, secure, and scalable AI will be needed across software, hardware, platform, and engineering workflows.
Translate emerging technology trends and engineering use cases into practical recommendations for AI Platform capabilities, roadmap priorities and adoption patterns.

2. Evaluation, prototyping and demonstration:

Explore safe and secure patterns for the usage of core AI technologies - including skills, agents, RAG pipelines, MCP gateways, workload isolation, secrets management, LLM gateways and more.
Evaluate, prototype and implement technology solutions that provide the controls, guardrails and observability needed for Arm engineers to use AI safely whilst ensuring a first class engineering experience.
Develop demos, examples, and reference implementations illustrating how emerging AI features can be activated via our AI Platform.

3. OpenAI toolset ownership and Engineering enablement:

Own and evolve Arm’s OpenAI toolset for Engineering, including Codex, ChatGPT, OpenAI APIs and an AI Gateway, ensuring these services are safe, supportable and have a great engineering experience.

Track Codex, ChatGPT and OpenAI API releases, assessing relevance and leading safe adoption of new capabilities.
Own custom tooling, automation, integrations and secure configuration for the AI Gateway and OpenAI services.
Support engineering users through guidance, advice, documentation, demos and enablement sessions.

Required Skills and Experience:

Strong software engineering skills, with the ability to build working prototypes, integrations and examples rather than only advise conceptually.
Knowledge of the AI tooling and vendor landscape, paired with curiosity and discernment about the direction of the ecosystem.
Strong practical experience working with Codex and OpenAI APIs.
Good understanding of AI safety, governance, privacy, security, evaluation, observability and lifecycle concerns in an enterprise context.

"Nice to Have" Skills and Experience:

Experience collaborating with vendors, research teams, open-source communities, or enterprise AI governance groups.
Familiarity with secure execution, sandboxing, workload isolation, data-loss prevention or policy-as-code approaches
Experience with platforms such as BricksLLM, LiteLLM, custom API gateways or equivalent gateway/routing layers.
Hands-on experience with applied AI technologies such as LLMs, RAG, embeddings, vector databases, model orchestration, agents, MCP servers, tool-calling or AI evaluation frameworks!

In Return:

This is a chance to help build a new AI Platform capability for Arm. In return, we'll welcome you into a collaborative, low-ego but high performing team, alongside a highly capable and deeply technical set of peers. We will give you room to grow technically, an interesting and challenging role, and an opportunity to improve the lives of thousands of engineers across Arm!

#LI-JW1

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:

£97,300

£131,700

per year

Apply Now

Refine Your Search

staff ai technology jobs in babraham, cam

Staff AI Technology Specialist

Research Analyst - Research and Innovation Ecosystems

QA Engineer

Staff AI Engineer | AI Platform, LLM Applications, RAG, Evaluation & Backend Systems

Deputy Chief Information Officer (Digital Services)

Programme Coordinator

MPhil in Precision Medical Imaging & AI Course (PREMIA) Coordinator (Fixed Term)

Fitness, Strength and Conditioning Coach

Staff ML Engineer - Developer Tools

Enterprise Systems Analyst & AI Enablement - Qualcomm, Cambridge, UK

Digital Marketing & Operations Manager

Staff Engineer (ML Engineer)

Staff Linux Support Engineer

Staff Hardware System Test Engineer

Communications Executive - Internal Communication

Staff Full Stack Software Engineer

University Assistant Professor

Deputy Development Director

CCTV Monitoring Centre Operator

Ecology Officer

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Job Overview:

Responsibilities:

Required Skills and Experience:

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In Return:

Accommodations at Arm

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Equal Opportunities at Arm

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