Enable job alerts via email!

Machine Learning Engineer, Research

PhysicsX

Greater London

On-site

GBP 45,000 - 70,000

Full time

Yesterday

Be an early applicant

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

PhysicsX is seeking a Machine Learning Engineer to develop scalable ML models for advanced physics simulations. The ideal candidate will have a strong background in software engineering and machine learning, with a passion for solving complex engineering challenges. Join a dynamic team making significant impacts across various industries, including aerospace and medical devices.

Benefits

Generous vacation and parental leave

Complimentary office food

Flexible working environment

Competitive compensation and equity package

Opportunities for professional growth

Qualifications

1+ year of experience in a data-driven role.
Experience scaling ML models in real-world settings.
Familiarity with distributed computing frameworks.

Responsibilities

Design, build and optimise machine learning models.
Transform prototypes to production-grade implementations.
Collaborate with simulation engineers and research scientists.

Skills

Machine Learning

Data Engineering

Software Engineering

Problem Solving

Collaboration

Education

Master's/Doctorate in Computer Science or Software Engineering

Tools

Python

PyTorch

MLFlow

Docker

Kubernetes

AWS

Spark

2 days ago Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimization opportunities in design and engineering.

Born out of numerical physics and proven in Formula One, we help our customers radically improve their concepts and designs, transform their engineering processes and drive operational product performance. We do this in some of the most advanced and important industries of our time – including Space, Aerospace, Medical Devices, Additive Manufacturing, Electric Vehicles, Motorsport, and Renewables. Our work creates positive impact for society, be it by improving the design of artificial hearts, reducing CO2 emissions from aircraft and road vehicles, andincreasing the performance of wind turbines.

We are a rapidly growing company but prefer to fly under the radar to protect our customers’ confidentiality. We are about to take the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic machine learning engineer to join our team. If all of this sounds exciting to you, we would love to talk (even if you don't tick all the boxes).

Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.

What you will do

Work intimately with our simulation engineers and research scientists to develop an understanding of the physics and engineering challenges we are solving
Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain
Transform prototype implementations to robust production-grade implementation of models
Explore distributed training architectures and federated learning capacity
Create analytics environments and resources in the cloud or on-premise, spanning data engineering and science
Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success
Work at the intersection of data science and software engineering to translate the results of our R&D into re-usable libraries, tooling and products
Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption

What you bring to the table

Enthusiasm about using machine learning for science and engineering, and especially in scaling such solutions to real-world settings
Degree (Master's/Doctorate) in computer science, software engineering or equivalent
Experience scaling ML models, both in compute and data storage
Federated learning experience is a bonus
1+ year of experience in a data-driven role, with exposure to:
Software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps)
Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., PyTorch, MLFlow, JAX)
Distributed computing frameworks (e.g., Spark, Dask)
Cloud platforms (e.g., AWS, Azure, GCP) and HP computing
Containerization and orchestration (Docker, Kubernetes)
Ability to scope and effectively deliver projects
Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly
Excellent collaboration and communication skills - with teams and especially researchers

What we offer

Be part of something larger: Make an impact and meaningfully shape an early-stage company. Work on some of the most exciting and important topics there are. Do something you can be proud of
Work with a fun group of colleagues that support you, challenge you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields and solve truly challenging problems in science and engineering. If you are similarly capable, caring and driven, you'll find yourself at home here
Experience a truly flat hierarchy. Voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo
Work sustainably, striking the right balance between work and personal life.
Receive a competitive compensation and equity package, in addition to plenty of perks such as generous vacation and parental leave, complimentary office food, as well as fun outings and events
Work in a flexible setting, at our lovely London Shoreditch office, and a good proportion from home if so desired. Get the opportunity to occasionally visit our customers' engineering sites and experience first-hand how our work is transforming their ways of working
Use first-class equipment for working in-office or remotely, including HPC

We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.

Seniority level

Seniority level
Associate

Employment type

Employment type
Full-time

Job function

Job function
Information Technology, Engineering, and Research
Industries
Software Development

Referrals increase your chances of interviewing at PhysicsX by 2x

Get notified about new Machine Learning Engineer jobs in London Area, United Kingdom.

London, England, United Kingdom 6 days ago

Machine Learning Scientists and Engineers: AI for Quantum

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 week ago