University of Bath Jobs

University of Bath

Applications Close:

Claverton Down, Bath BA2 7AY, UK

5 Star University

"KTP Associate: Machine Learning Engineer – Process Simulations"

Academic Connect
Applications Close

KTP Associate: Machine Learning Engineer – Process Simulations

KTP Associate: Machine Learning Engineer – Process Simulations

University of Bath - Chemical Engineering

Location: Bath

Salary: £35,000 to £45,000 per annum, depending on qualifications and experience, with an additional £6,000 training budget for personal development. Grade: Competitive Package

Hours: Full Time

Contract Type: Fixed-Term/Contract

Placed On: 11th September 2025

Closes: 8th October 2025

Job Ref: CC13020

Do you have a strong interest in using artificial intelligence and machine learning techniques in chemical engineering?

Do you want to further your career through an industrial project with one of the UK’s leading research-intensive universities whilst pursuing a career in industry?

We are seeking an Engineer (or equivalent related field) with a background in mathematical modelling and simulation for a KTP Associate position based at ioMosaic International, based in central Bath.

About the role

This Knowledge Transfer Partnership (KTP) will bring together an exciting combination of expertise in artificial intelligence and chemical engineering to deliver a new tool for simulations and decision-making in process safety engineering. The tool will deliver a step-change in the design of processing plants, improving safety and reducing environmental impact.

You will be working within ioMosaic to embed knowledge through this innovation project, with academic support from the University of Bath.

This is an opportunity for you to ‘fast track’ your career into business by leading a high profile and strategically meaningful project to a successful conclusion, allowing you to utilise your academic achievements in an industrial setting.

By joining this multidisciplinary KTP between ioMosaic Ltd, the Department of Chemical Engineering and the Department of Computer Science at the University of Bath, you will have the opportunity to work on a challenging and exciting project, using ground-breaking technology with incredible team support and development opportunities.

ioMosaic Corporation is a rapidly growing company providing consulting services in the areas of process safety and risk management in the oil, gas, petrochemical, chemicals and energy industries. Based at ioMosaic in Bath, you will be a member of a wider multidisciplinary team, as well as working with the software project team in the UK and US.

It is essential that you understand how KTP works with business and the University, and the vital role you will play. For information about KTPs follow this link.

Why join us in Bath

You will work on projects that are central to our clients’ operations, giving you a front row seat to the real world impact of your engineering.

You will apply advanced modelling tools such as Process Safety Office® SuperChems® to simulate incidents, test hypotheses, and uncover truths that can prevent future accidents.

You will be part of a collaborative team that values innovation, continual improvement, and technical excellence.

At ioMosaic, you will not just start a career. You will start contributing to safer industries worldwide.

About you

If you are curious, analytical, and ready to make a difference from day one, you will fit right in.

You will have:

  • A Master’s or PhD level qualification in Engineering (Mechanical or Chemical), Mathematics, Physics or Computer science or a related field.
  • Experience or strong interest in programming, modelling, or simulation (e.g. Python, MATLAB, C++, or similar platforms).
  • Familiarity with numerical or simulation tools such as but not limited to ANSYS Fluent, ASPEN, COMSOL, or OpenFOAM.
  • Familiarity with AI and Machine Learning, and interest in developing these skills
  • You will play a major role in the KTP and engage with multiple stakeholders, so must have excellent communication and organisational skills.

Further information

This is a full-time, in-person position based in central Bath.

This is a fixed-term opportunity for a period of 3 years.

For any informal questions about this role please email partnerships@bath.ac.uk.

10

Whoops! This job is not yet sponsored…

Pay to Upgrade Listing

Or, view more options below

View full job details

See the complete job description, requirements, and application process

Stay on their radar

Join the talent pool for University of Bath

Join Talent Pool

Express interest in this position

Let University of Bath know you're interested in KTP Associate: Machine Learning Engineer – Process Simulations

Add this Job Post to FavoritesExpress Interest

Get similar job alerts

Receive notifications when similar positions become available

Share this opportunity

Send this job to colleagues or friends who might be interested

Loading job count...
View More