Simulation engineer Work, Jobs in Swindon, Wil (with Salaries)

ML Engineer (Research Scientist - Cryosphere)
Arctic Research and Development —Cirencester
- Full-time
- Hybrid work
- Doctoral degree
- Machine learning
11d
Sr. Digital Signal Processing (DSP) Firmware Engineer
MDA Space —Didcot
- Hybrid work
- Software troubleshooting
- Bachelor's degree
- Employee assistance programme
- Life insurance
Sr. Digital Signal Processing (DSP) Firmware Engineer
MDA —Didcot
- Full-time
- Hybrid work
- Software troubleshooting
- Bachelor's degree
- Employee assistance programme
- Life insurance
Lead Hardware Engineer
MDA Space —Didcot
- Hybrid work
- Team management
- Leadership
- Employee assistance programme
- Life insurance
Senior Software Developer
Halliburton —Abingdon
- Full-time
- Computer Science
- Software troubleshooting
- Engineering
Lead Hardware Engineer
MDA —Didcot
- Full-time
- Hybrid work
- Team management
- Leadership
- Employee assistance programme
- Life insurance
Mixed Signal Modelling and Verification Engineer (#GNEG4)
Cirrus Logic —Newbury
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
Frequency Comb Photonics Engineer
Infleqtion —Harwell
- Full-time
- Hybrid work
- Doctoral degree
- Communication skills
- Annual leave
Quick apply
Senior RF Engineer
MDA —Didcot
- Full-time
- Hybrid work
- Employee assistance programme
- Life insurance
Senior Structural Integrity Engineer
UK Atomic Energy Authority —Culham
- £57,117 a year
- Full-time
- Hybrid work
- Doctoral degree
- Machine learning
- Mentoring
- Annual leave
- Employee assistance programme
Quick apply
2d
Electronics Manager
Infinitesima —Abingdon
- £65,000 - £83,000 a year
- Hybrid work
- Engineering
- Master's degree
- Continuous improvement
- Annual leave
Quick apply
Staff Software Engineer - Backend
Metrea —Harwell
- Full-time
- Software troubleshooting
- Engineering
- Bachelor's degree
- Annual leave
Quick apply
Associate Software Engineer
Halliburton —Abingdon
- Full-time
- Computer Science
- Engineering
- No experience needed
Associate Principal Embedded Software Engineer
Dyson —Malmesbury
- Engineering
- Laboratory experience
- English
- Employee assistance programme
- Employee discount
1d
Senior Research Engineer - Mechanical Design
Dyson —Malmesbury
- Engineering
- Continuous improvement
Industrial Engineer (M/F/D)
TE Connectivity —Swindon
- Engineering
- Data analysis skills
- Analysis skills
10d
Senior Embedded Software Engineer
Dyson —Malmesbury
- Engineering
- Laboratory experience
- English
- Employee assistance programme
- Employee discount
1d
Defence Flight Dynamics Engineer
Astroscale —Didcot
- £40,000 - £85,000 a year
- Full-time
- Hybrid work
- English
- Windows
- Master's degree
- Life insurance
- Sick pay
Senior Aerodynamics Engineer
Dyson —Malmesbury
- Analysis skills
- Mentoring
- Organisational skills
Data Scientists
UK Atomic Energy Authority —Culham
- £64,820 a year
- Full-time
- Doctoral degree
- Engineering
- English
- Annual leave
- Employee assistance programme
11d

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simulation engineer jobs near swindon, wil

ML Engineer (Research Scientist - Cryosphere)

Arctic Research and Development
Cirencester

Apply Now

Job details

Full-time
11 days ago

Benefits

Private medical insurance

Qualifications

Doctoral degree
Machine learning
Machine learning modelling
Data science
GIS

Full job description

ML Engineer (Scientific Research - Cryosphere)

FULL-TIME | UK & ARCTIC | DEV

LOCATION: CALMSDEN, CIRENCESTER, UK

THE LAST FRONTIER

ARD was founded on a paradox. The Arctic is both the next great economic frontier and one of the most hostile environments on Earth. Rich in resources and strategically vital, yet bone-chillingly cold, dark for months, and fundamentally inhospitable to humans. This paradox—an explosion of activity in a place that resists human presence—is why we exist.

Our solution is autonomy.

We build systems that operate reliably and intelligently in the Arctic, so that humans don't always have to.

Founded by record-holding pioneers with decades of polar experience, we take calculated risks on hard problems that matter. If you want to build and deploy ground-up technology with real-world impact, at an inflection point in history that won’t reappear, we’d like to talk.

THE ROLE
ARD is building Auka - an intelligence layer for the Arctic that turns a flood of observations into understanding, foresight, and action. Our approach is deliberately grounded in modern science. We develop and run physics models, collect empirical data in the field and laboratory and then use that knowledge to extract meaning from our diverse datasets. We avoid black boxes — the products we ship trace back to the physics and data that produced it.

This role focuses on developing and tuning machine learning pipelines that are fast, trustworthy, and traceable, ingesting diverse datasets with an emphasis on remotely sensed imagery. These pipelines will form the foundational products on which our longer-term Arctic intelligence platform will build.

This is the first science hire and a senior one. You will own the Analyse-and-ML workstream, working directly with the Science Lead, set the technical direction for how physics and ML meet at ARD, and become a pivotal founding member of the ARD science team.

CORE RESPONSIBILITIES

Distil reference physics into fast operators - build emulators / surrogates that run orders of magnitude faster than our reference physics models.
Own the forward-to-inverse bridge - Build the ML that inverts real hyperspectral and multispectral imagery into physical quantities (albedo, melt state, impurity loading), with the physics as the constraint, not an afterthought.
Make trust a property of the model, not a report - bake in uncertainty quantification, provenance, and validation against cold-lab and field measurements. Outputs must be defensible pixel-to-decision.
Set the technical bar for physics ML across the science team, and help shape and mentor the hires that follow you.
Ship into the platform - work with the Science Lead and Head of Software so your models land in production — not just in papers.

REQUIREMENTS

We are looking for a scientist who lives on the seam between physical modelling and machine learning — someone whose instinct is to respect and accelerate physics, not replace it with an opaque network.

Essential

A PhD (or equivalent research track record) in a physical, geophysical, computational, or ML discipline, with a body of work at the physics–ML interface: physics-informed / hybrid models, emulators or surrogate models, neural operators, differentiable simulation, or data assimilation with learned components.
Fluency with uncertainty quantification and with validating models against real measurements.
GIS or geospatial data handling
Machine learning or data science background
Strong scientific software engineering: production-quality Python, reproducibility, version control, testing. Your models are meant to ship.
Seniority to own a workstream and be delegated to — able to set direction, make sound calls under ambiguity independently, and represent the science externally. Comfortable being the first, and helping build the team.

Strongly preferred

Working knowledge of the cryosphere (glaciology, ice-surface / snow, or sea-ice physics). We will weight the ability to reason fluently about physical models over any specific sub-domain, and we also highly value marine and atmospheric science — but you should be able to engage with radiative-transfer and ice-surface physics without hand-holding.
Experience with Earth-observation / remote-sensing retrieval — inverting satellite or drone imagery into physical quantities, atmospheric correction, cal/val.
The cloud-native geospatial stack (Xarray, Zarr, Dask, STAC; the Pangeo ecosystem).

WHAT WE VALUE

You reach for the simplest model that respects the physics before the biggest one.
You treat provenance and uncertainty as first-class, not documentation added at the end.
You've shipped something real that others depend on — an open-source tool, an operational model, a product.

Why ARD

The mission - The Arctic is the fastest-changing region on Earth. You'll build the intelligence layer that helps understand and steward it — an early-warning system for the planet's coldest edge.

Science and product - Our model rewards work that yields both new science and a platform others build on. You won't have to choose between publishing and shipping.

Foundational scope - You're the first science hire, you'll work directly with the Science Lead and Head of Software. You'll be instrumental in shaping the team that follows.

Open by design - A free Arctic data commons alongside paid services — your work reaches the whole field, not a walled garden.

WHAT WE OFFER

Competitive compensation
Private Health Insurance
Dental & Optician
Equity — meaningful options as an early employee at an early-stage company
Real field exposure — travel to Arctic sites and Outposts when needed (genuinely, not as a gimmick)
Mission-driven culture — focus on impact, not hours logged
Small team, real ownership — what you build matters and ships

Apply Now

Refine Your Search

simulation engineer jobs in swindon, wil

ML Engineer (Research Scientist - Cryosphere)

Sr. Digital Signal Processing (DSP) Firmware Engineer

Sr. Digital Signal Processing (DSP) Firmware Engineer

Lead Hardware Engineer

Senior Software Developer

Lead Hardware Engineer

Mixed Signal Modelling and Verification Engineer (#GNEG4)

Frequency Comb Photonics Engineer

Senior RF Engineer

Senior Structural Integrity Engineer

Electronics Manager

Staff Software Engineer - Backend

Associate Software Engineer

Associate Principal Embedded Software Engineer

Senior Research Engineer - Mechanical Design

Industrial Engineer (M/F/D)

Senior Embedded Software Engineer

Defence Flight Dynamics Engineer

Senior Aerodynamics Engineer

Data Scientists

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