Senior CFD Engineer - Multiphase

🔒 Confidential Employer
Posted 8 May 2026
LOCATION
London
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Engineering
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Multiphase CFD DEM Modelling Star-CCM+ OpenFOAM Fluent Python scripting CFD-DEM coupled workflows Parametric CAD (NX/CATIA) Heat and mass transfer DoE and surrogate modelling

FULL DESCRIPTION

Senior CFD Engineer - Multiphase

Company: [Employer hidden — sign up to reveal]

Location: London, United Kingdom (Hybrid - 2-3 days/week in central office)

Experience: Mid-Senior level (3-5 years industry experience)

Job type: Full-time

Category: Engineering

About [Employer hidden — sign up to reveal]

[Employer hidden — sign up to reveal] is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.

Who We’re Looking For

You are a problem solver and builder, passionate about creating practical solutions that help customers make better engineering decisions. You bring deep expertise in fluid mechanics, heat transfer, and multiphase modelling, including particle-laden flows, fluidised beds, and coupled CFD-DEM. You are highly proficient in at least one of Star-CCM+, OpenFOAM, or Fluent, and experienced with DEM codes such as EDEM, LIGGGHTS, or Rocky. With 3–5 years of industry experience (post-MEng, MSc, or PhD) in a commercial, non-research environment.

What you'll do

  • Independently build complex multi-physics models, from geometry clean-up and meshing through to simulation, post-processing, and integration of experimental data for validation.
  • Develop and validate DEM models of granular and particle-laden systems, including fluidised beds, pneumatic conveying, mills, aerosols, suspensions and coating processes.
  • Build robust parametric CAD models coupled with simulation pipeline automation to execute advanced design optimisation and DoE studies.
  • Partner with customers to address complex engineering challenges through advanced simulation and AI solutions.
  • Work at the intersection of CAE and data science to generate high-quality simulation datasets for training machine learning and deep learning surrogate models.
  • Leverage Flux (our cloud platform) and on-premise HPC resources to accelerate high-fidelity modelling.
  • Continuously improve engineering best practices.
  • Combine project leadership with commitment to mentoring junior colleagues.
  • Travel globally up to 2–3 weeks per quarter to work on-site with customers.

What we're looking for

Core simulation skills: Multiphase CFD (VOF, Euler–Euler, Euler–Lagrange, or mixture models), DEM modelling (EDEM, Rocky, LIGGGHTS, or equivalent), Coupled CFD–DEM workflows, Heat and mass transfer modelling, Reacting flows and phase-change processes (advantageous), Proficiency in Star-CCM+, OpenFOAM, or Fluent.

Engineering and workflow: 3–5 years post-graduate experience in industry, MEng, MSc, or PhD in mechanical, chemical, or process engineering, Python scripting and simulation automation, DoE, surrogate modelling, and design space exploration, Parametric CAD modelling (NX or CATIA advantageous), Strong written and verbal communication.

What we offer

  • Equity options
  • 10% employer pension contribution
  • Free office lunches
  • Enhanced parental leave
  • YellowNest nursery scheme
  • 25 days of Annual Leave (+ Public Holidays)
  • Private medical insurance
  • Wellhub Subscription
  • Eye tests
  • Personal development
  • Employee Assistance Programme
  • Bike2Work scheme and Season ticket loan
  • Octopus EV salary sacrifice

We value diversity and are committed to equal employment opportunity. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.

Apply for this job

Apply via the Greenhouse job board. Required fields include First Name, Last Name, Email, Phone, Country, Location, Resume/CV. Additional questions about visa sponsorship, salary expectations, and diversity data are included.

Sign up free — access 45,000+ UK sponsor-licensed jobs