Ai/ml engineer Work, Jobs in Saffron Walden, Ess (with Salaries)

Staff ML Engineer - Developer Tools
Arm —Cambridge
- £97,300 - £131,700 a year
- Hybrid work
- Machine learning
- Agile
5d
AI/ML Research Consultant
Awerian —Cambridge
- Full-time
- Research
- Bachelor's degree
- Machine learning
- Life insurance
Quick apply
Biotech AI/ML Engineer (100 % remote) (m/f/d)
EWOR GmbH —Cambridge
- Remote
- English
- Communication skills
6d
Applied Scientist, Silicon and Systems Group Edge AI
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Master's degree
- Machine learning
VP of AI
Turbine —Cambridge
- Full-time
- Remote
- Master's degree
- Team management
- Training & development
Quick apply
14d
Senior ML Research Software Engineer (ICCS) (Fixed Term)
University of Cambridge —Cambridge
- £47,389 - £59,966 a year
- Hybrid work
- Doctoral degree
- Master's degree
- Machine learning
C++ AI/ML Software Engineer
HP —Cambridge
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Bachelor's degree
AI Workflows Engineer
Neural Concept —Cambridge
- Full-time
- Hybrid work
- CAD
- Machine learning
- Software development
- Flexible schedule
Software Engineer II - Clock Tree Synthesis (CTS), Innovus R&D
Cadence Design Systems —Cambridge
- Full-time
- Computer Science
- Engineering
- Master's degree
- Employee stock purchase plan
- Life insurance
AI Research Engineer
Graphcore —Cambridge
- Doctoral degree
- Research
- Master's degree
- Annual leave
- Employee assistance programme
Staff Engineer (ML Engineer)
Graphcore —Cambridge
- Machine learning
- Annual leave
Foundation Model Engineer
CommonAI C.I.C. —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- AI
Quick apply
Applied Scientist, Alexa International Tech
Amazon Development Centre (London) Limited —Cambridge
- Full-time
- Doctoral degree
- Master's degree
- AI
Project Technical Lead - AI Systems Simulation
CommonAI C.I.C. —Cambridge
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Quick apply
Senior Software Engineer, Foundry
Redgate —Cambridge
- £55,000 - £80,000 a year
- Full-time
- Hybrid work
- Heavy lifting
- Master's degree
- Machine learning
- Annual leave
Embedded Software Engineer, Ring
Evi Technologies Limited - C67 —Cambridge
- Full-time
- Computer Science
- Software troubleshooting
- Engineering
Product Manager, Vertical Solutions
Neural Concept —Cambridge
- Full-time
- Hybrid work
- Product management
- AI
- Python
- Flexible schedule
Principal Scientist, Translational Data Sciences
GlaxoSmithKline —Stevenage
- £74,250 - £123,750 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Bachelor's degree
- Annual leave
14d
Staff Full Stack Software Engineer
Arm —Cambridge
- £97,300 - £131,700 a year
- Hybrid work
Staff Design Verification Engineer - Edinburgh/Cambridge
Advanced Micro Devices, Inc —Cambridge
- Engineering
- Master's degree
- Analysis skills

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Staff ML Engineer - Developer Tools

Arm -
Cambridge

Apply Now

Job details

£97,300 - £131,700 a year
5 days ago

Qualifications

TensorFlow
Stakeholder collaboration
PyTorch
Test automation
Machine learning
Machine learning modelling
Continuous integration
SDKs
Agile
Multidisciplinary collaboration
ARM
Technical roadmaps
TypeScript

Full job description

Job Description:

In the Developer Platforms group at Arm, our mission is to make AI software development on the Arm architecture simple and intuitive. We are growing our team and are looking for a passionate Staff ML Engineer to help us build our expertise in ML tooling and deliver the next generation of developer experiences for Arm.

The ideal candidate will combine strong software engineering skills with deep practical experience of ML model optimisation and deployment. You will help make sophisticated ML optimisation techniques accessible to developers by building tools that analyse, optimize, and prepare models for efficient execution on Arm-based platforms.

You will work across developer tools, ML frameworks and emerging Arm hardware, helping shape both the technical direction and developer experience of our ML tooling.

Responsibilities:

Join an established engineering team to define, design and deliver production-grade model analysis and optimisation tooling for edge developers, delivered through web services and desktop applications.
Provide technical leadership in the ML tooling space, identifying gaps in existing technologies and helping shape the architecture and roadmap for our ML developer tooling.
Work across ML frameworks, runtimes and both existing and future hardware to understand capabilities and constraints and turn these into intuitive experiences for developers who may not be ML experts.
Build effective relationships with distributed engineering teams, product managers and UX specialists to enable strong collaboration and ensure our tooling meets real developer needs.
Drive demonstrable engineering quality through maintainable software, automated testing, continuous integration, effective engineering processes and customer feedback.

Required Skills and Experience :

A strong understanding of neural-network architecture and model execution, including computational graph representation and transformation, operator dispatch, memory planning, backend partitioning and execution across heterogeneous hardware.
Proven experience in hardware-aware model optimisation techniques such as quantisation, graph optimisation, operator fusionandprecision reduction
Experience across multiple ML frameworks, model formats and inference runtimes, such as PyTorch, ONNX/ONNX Runtime, ExecuTorch, TensorFlow/LiteRT and OpenVINO.
Experience analysing, profiling and debugging ML workloads, including model compatibility, performance and the trade-offs between latency, memory, model size and accuracy.
A passion for building high-quality developer tools and intuitive workflows that make complex ML capabilities intuitive and easy to use by our target developers.

“Nice To Have” Skills and Experience :

We value an eagerness to continuously learn new technologies over experience with any particular technology. Experience in any of the following would also be beneficial:

ML model inspection, visualisation, profiling or benchmarking tooling.
Understanding of how ML workloads are deployed across CPUs, GPUs and ML accelerators, and how models, runtimes, execution backends and hardware interact.
Linux, containers and high-level languages such as Python and TypeScript.
Experience building developer-facing CLIs, SDKs, APIs or web tools, with an interest in UX, interaction design and developer workflows.
A product mentality and commitment to developer experience, with a history of engaging directly with developers, identifying and validating their needs, and using prototypes, customer feedback and analytics to iteratively improve developer-facing products.

In Return:

You will have the opportunity to build and lead a new team working with innovative technologies in an agile environment which requires proactivity, dynamic approaches to problem solving and creative thinking.

An opportunity to work on greenfield software products which ship with new Arm hardware on day one.

Please provide a covering letter with your application.

#LI-JB

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

ai/ml engineer jobs in saffron walden, ess

Staff ML Engineer - Developer Tools

AI/ML Research Consultant

Biotech AI/ML Engineer (100 % remote) (m/f/d)

Applied Scientist, Silicon and Systems Group Edge AI

VP of AI

Senior ML Research Software Engineer (ICCS) (Fixed Term)

C++ AI/ML Software Engineer

AI Workflows Engineer

Software Engineer II - Clock Tree Synthesis (CTS), Innovus R&D

AI Research Engineer

Staff Engineer (ML Engineer)

Foundation Model Engineer

Applied Scientist, Alexa International Tech

Project Technical Lead - AI Systems Simulation

Senior Software Engineer, Foundry

Embedded Software Engineer, Ring

Product Manager, Vertical Solutions

Principal Scientist, Translational Data Sciences

Staff Full Stack Software Engineer

Staff Design Verification Engineer - Edinburgh/Cambridge

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