KTP Associate (Embedded Systems Engineer) (111618-0526)
University of Warwick —University of Warwick
- £35,608 - £42,254 a year
- Doctoral degree
- Master's degree
- Project management
Demand & Inventory Planning Sr. Specialist, Aftersales Parts
AGCO —Stoneleigh
- SQL
- Scripting
- Python
- Annual leave
- Employee assistance programme
Collections Administrator
FICO —Birmingham
- Full-time
- Microsoft Word
- Microsoft Excel
- Oracle
Frontend Engineer – Fletchers Solicitors AI
Fletchers Solicitors —Birmingham
- Full-time
- English
- Machine learning
- APIs
- Sick pay
Quick apply
AI Deployment & Security Architect
Correla —Solihull
- £85,000 a year
- AI
- Annual leave
4d
Research fellow - School of Psychology - 105747 - Grade 7
University of Birmingham —Birmingham
- £36,636 - £48,822 a year
- Full-time
- Hybrid work
- Doctoral degree
- University
- Machine learning
9d
Lead Data Scientist
Capgemini —Birmingham
- Doctoral degree
- Master's degree
- SQL
Research Fellow - School of Computer Science - 107477 - Grade 7
University of Birmingham —Birmingham
- £36,636 - £48,822 a year
- Full-time
- Computer Science
- University
- Presentation skills
4d
IIoT & Industrial AI Solution Architect
Warwick Nub News —Warwick
- IT
- AI
5d
GI Model Validation Actuary
NFU Mutual —Stratford-upon-Avon
- Up to £95,000 a year
- Full-time
- Hybrid work
- Machine learning
- Financial services
- Communication skills
- Annual leave
- Employee discount
5d
Part Time Vending Machine Cleaner
Panda Fluff —Birmingham
- £12.21 - £25.00 an hour
- Part-time
- Analysis skills
- Supervising experience
- Machine learning
Quick apply
6d
Customer Claims Specialist
Allianz —Birmingham
- £24,000 - £30,000 a year
- Full-time
- Machine learning
- IT
- Communication skills
- Annual leave
- Employee discount
Product Architect
SCC —Birmingham
- £80,000 - £100,000 a year
- Monday to Friday
- Hybrid work
- Azure
- AWS
- Machine learning
Telematics Data Specialist – Policy Insights & Risk Analysis
iTelematiX —Northampton
- £30,000 - £38,000 a year
- Full-time
- Data analysis skills
- SQL
- Analysis skills
- Free parking
Quick apply
12d
AI Solutions Architect
MSX International —Warwick
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree
Quick apply
Digital Solutions Manager
REXEL —Birmingham
- Full-time
- Hybrid work
- Management
- Data analysis skills
- Machine learning
- Annual leave
- Employee discount
Quick apply
Risk, AI Model Validation, Associate, Birmingham
Goldman Sachs —Birmingham
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
- Employee assistance programme
10d
Head of Data Science
Halfords —Redditch
- Full-time
- Hybrid work
- Annual leave
- Employee discount
Senior Data Engineer (12 months)
Coventry Building Society —Coventry
- £51,130 - £70,300 a year
- Full-time
- Hybrid work
- SQL
- AWS
- Machine learning
2d
Secure Data Engineer
Capgemini —Birmingham
- Hybrid work
- Azure
- DevOps
- AWS

I want to receive the latest job alerts for machine learning in coventry

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

KTP Associate (Embedded Systems Engineer) (111618-0526)

University of Warwick -
University of Warwick

Apply Now

Job details

Fixed term contract
£35,608 - £42,254 a year

Benefits

Company pension

Qualifications

Doctoral degree
Signal processing
Master's degree
Project management
Bachelor's degree
Product development
Machine learning
IT
AI
Debugging

Full job description

KTP Associate (Embedded Systems Engineer) (111618-0526)

Location

We Care 4 Air Limited, Units 4, 5 & 6 Parklands Business Centre, Stortford Road, Leaden Roding, Dunmow, CM6 1GF with occasional work at School of Engineering, University of Warwick.

Department

School of Engineering

Position Type

Fixed Term

Duration

Fixed-term contract for 30 months

Salary

£35,608 to £42,254 per annum

About the Role

Informal Queries

For informal enquiries, please contact James Covington, Professor in Electronic Engineering, at [email protected].

The Associate will be employed on a Knowledge Transfer Partnership (KTP) project between WeCare4Air Ltd and the University of Warwick (School of Engineering, BioSensors Lab).

The project will develop a new generation of innovative tools for environmental monitoring, designed for integration with Smart Cities, Smart Buildings and Smart Transport. The overarching aim is to deliver, real-time local air quality intelligence that supports improved public health and better operational decision-making. The system will combine measurement performance with an AI-enabled platform for long-term deployments with improved reliability.

The Associate will lead the design and implementation of a next-generation architecture for a reference-grade air quality analyser. Key technical responsibilities will include development of embedded/electronic systems, embedded/edge software, implementation of sensor fusion approaches, and deployment of AI methods to support, for example, predictive diagnostics, automated quality assurance.

Working primarily within WeCare4Air, the Associate will collaborate closely with engineering, product and customer-facing teams to ensure the solution is fit for purpose, deployable and supportable. Alongside core R&D delivery, they will contribute to requirements capture, test planning, verification/validation, and the creation of technical documentation and knowledge resources needed to embed the capability within the business.

The Associate will also maintain access to the BioSensors Lab at the University of Warwick, benefiting from academic supervision, access to research expertise, and support in evaluation methodologies and dissemination. The role is collaborative and will require effective engagement with a range of stakeholders, moving between research and commercial needs, managing milestones, and ensuring timely delivery of project outcomes.

This post is part of the KTP initiative funded by Innovate UK. Knowledge Transfer Partnerships is a UK-wide programme that has been helping businesses for the past 40 years to improve their competitiveness and productivity through the better use of knowledge, technology and skills that reside within the UK Knowledge Base. It is an exciting opportunity to work across industry and academia, applying cutting-edge research to deliver tangible impact.

About You

The successful candidate will have a strong academic and technical foundation, complemented by excellent interpersonal and project management skills. You will hold a good honours degree (or equivalent experience) in Electronic Engineering, Computer Science, Embedded Systems or a closely related discipline, plus a postgraduate qualification (MSc/PhD) or industrial experience in embedded systems, AI/machine learning, digital signal processing or a relevant area.

You will be technically confident delivering end-to-end solutions spanning electronics, embedded/edge software, microcontrollers and connected systems. Essential skills include electronics knowledge, strong programming skills for data handling and model development/testing, and experience of software–hardware integration (sensor/instrument interfaces and system-level debugging, with knowledge of electronics). You should be comfortable working with real-time constraints (e.g., RTOS concepts), implementing data acquisition and processing pipelines, and applying signal processing methods to time-series sensor data. Familiarity with deploying AI/ML models (e.g., anomaly detection, drift detection, regression/classification) in practical setting. Knowledge of digital communications, device connectivity and the fundamentals of secure connected products (e.g., encrypted communications, authentication, update concepts) is also desirable.

In addition, it is desirable if your experience includes contributing to product development of field-deployed instrumentation, low-power or long-term unattended system design. Exposure to air quality monitoring and gas sensing (including calibration, cross-sensitivities and environmental compensation) would be advantageous but is not essential.

You will be self-motivated, adaptable and able to work effectively across industrial and academic environments, communicating technical ideas clearly and translating requirements into validated, deployable solutions.

Due to thirdhand smoke causing pollutants to linger on surfaces, skin, hair and clothing which could interfere with data quality, WeCare4Air are strictly a non-smoking company. Candidates must be non-smokers (including e-cigarettes and vaping).

For details on the experience and skills required, please refer to the

About the Department

This is an opportunity to join a collaboration between Warwick and WeCare4Air in developing the next generation of AI embedded reference analysers. The Associate will form part of WeCare4Air’s engineering/R&D team and will be primarily based at the company, working closely with the industrial supervisor with frequent day-to-day interaction to ensure delivery, progress and effective knowledge transfer. The project will require the Associate to work across laboratory development and real-world deployment contexts; therefore, independent travel will be expected between WeCare4Air, the University of Warwick, and pilot/customer or monitoring sites as required for testing and validation.

Hybrid working may be possible at times if approved by the supervisors. However, the work will mainly be carried out on-site due to the hands-on nature of instrumentation development, integration and field validation, with the Associate expected to be office/lab based for the majority of the working week (depending on project phase and deployment needs).

We Care 4 Air are committed to delivering high-quality solutions with a focus on data capture and customer satisfaction. The company provides global technical support, ensuring reliable data capture and exceptional service. Their customers include Environment Agencies, Local Authorities, Universities, and commercial organizations worldwide. Driven by a mission to enhance air quality, WeCare4Air consistently goes above and beyond to meet customer needs.

The Associate will become a member of the School of Engineering, at the University of Warwick. The School of Engineering is a broad department teaching all forms of Engineering. The position will be with the BioSensors Group in Engineering (http://www.warwick.ac.uk/go/bsl), which is internationally recognised for its work in gas sensors and olfaction, as well as developing instrumentation and units designed for monitoring air quality in consumer and industrial settings. The Associate will also receive academic supervision from the BioSensors Lab within the School of Engineering at the University of Warwick, with access to specialist expertise and facilities supporting rigorous evaluation and translation of research into a deployable solution.

The School of Engineering is committed to the principles of the Athena SWAN Charter, which recognises work undertaken to address gender equality, representation and progression for all staff working in an academic environment. The School currently holds the Athena SWAN Gold award, and the University holds an Institutional Silver award.

Further information about the work of the School in relation to Athena SWAN can be found at the following link: Athena SWAN - School of Engineering - University of Warwick

This post is part of the Knowledge Transfer Partnership (KTP) initiative funded by Innovate UK. Knowledge Transfer Partnerships is a UK-wide programme that has been helping businesses for the past 50 years to improve their competitiveness and productivity through the better use of knowledge, technology and skills that reside within the UK Knowledge Base. For further information visit http://ktp.innovateuk.org/

About the University

We are a world-leading research-intensive university founded in 1965. We are ranked 74th in the world and 9th in the UK.* Additionally, 92% of our research is rated world-leading or internationally excellent.**

Find out more about us at warwick.ac.uk/about/.

World University Ranking 2026, Complete University Guide 2026

** Research Excellence Framework 2021

How to Apply

CLOSING DEADLINE: Sunday 21 June 2026 at 11:55pm (UK Time)

To apply, please click APPLY below and submit your application by the closing deadline.

You will be asked to include a CV and cover letter. Within these documents, please:

Outline your employment and education history (including your most recent employment).
Outline the reasons for your interest in this position.
Demonstrate how you meet the requirements of the role with clear reference to each of the essential and desirable criteria in the

We recommend that you illustrate how you meet all essential criteria in the supporting statement. Using individual essential criteria as headings is advisable. Please note that all essential criteria must be met by candidates who are invited to interview. Please do not attach any additional document in your applications other than the required ones.

Interview Date: To be confirmed
Start Date: As soon as possible

Applications must be submitted by the closing deadline - you will not be able to submit an application form even if you opened it before the stated deadline. Only applications submitted through our Careers Portal will be considered. You are welcome to include any careers breaks you may have taken (e.g. parental/caring/long-term sick leave).

Please note that if you do not evidence the essential criteria, the hiring panel may not be able to shortlist your application. For guidance on how to format a cover letter, see here.

What we Offer

We provide a comprehensive range of benefits, including:

An attractive pension scheme.
30 days holiday plus University Christmas closure.
Generous parental/adoption leave policy.
Onsite childcare facilities.
Excellent learning and development opportunities.

We recognise the importance of a healthy work/life balance and offer access to flexible working arrangements. For more information, see here.

We are proud to be a Living Wage employer.

Our Commitment to Inclusion

To find out more about our commitments to equality, diversity, and inclusion, please see: Our Commitments | University of Warwick

Right to Work in the UK

If you do not yet have the right to work in the UK and/or are seeking sponsorship for a Skilled Worker visa, please follow this link which contains further information about obtaining the right to work in the UK.

Apply Now

Refine Your Search

machine learning jobs in coventry