Machine Learning Engineering
Machine Learning Engineering

Machine Learning Engineering

London Full-Time 28800 - 42000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Build and deploy machine learning applications to solve engineering challenges.
  • Company: PhysicsX is a deep-tech company revolutionising physics simulations for various industries.
  • Benefits: Enjoy flexible work options, competitive pay, generous leave, and fun team events.
  • Why this job: Make a real impact in advanced engineering while collaborating with diverse, talented colleagues.
  • Qualifications: Strong problem-solving skills and a background in software engineering or mechanical engineering preferred.
  • Other info: We value diversity and encourage underrepresented groups in tech to apply.

The predicted salary is between 28800 - 42000 £ per year.

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, and increasing the performance of wind turbines.

The Role

Your role, first and foremost, is to help our customers solve their most important problems. As a Software Engineer, this takes the form of building and deploying applications which utilise the power of our Physics AI models to enable our customers to build better, faster, and cheaper.

As a member of the delivery team, you’ll work directly with customers, data scientists, and machine learning engineers to develop applications that change the way advanced engineering gets done. We’re looking for someone who can grasp advanced engineering concepts across multiple industries, fundamentally understand the problems that engineers face, and build tools to eliminate these problems.

Who We\’re Looking For

Technical ability: We work across a wide range of engineering disciplines, all of which are high complexity. Someone with a track record of solving hard problems is a must, a background in Mechanical Engineering or similar is a plus. This role deals with breadth across the full stack, having a solid foundation in software engineering, API design and deploying applications to production is desired.

Proactivity & high ownership: You’ll be responsible for driving impact for our customers, whatever that might look like. We\’re looking for someone who is a go-getter and is naturally inclined to find problems and solve them end to end. You own the responsibility to get things done, and will pick up the skills and experience needed to solve novel problems quickly.

Solution-focussed: We build tools that customers need, not just the ones they want. Someone who is customer obsessed, and can work alongside our customers to understand their problems and build applications which change the way they do engineering.

What a day might look like

Collaborate with cross-functional teams:Collaborate with data scientists and machine learning engineers to ship physics models to our customers in a way that delivers maximum value. Work with designers and front-end engineers to shape the UX in line with customer needs.

E2E application design: Work with customers to shape tools which are impactful for their teams. Construct low-lift prototypes of your ideas and ship them directly to the customer. Rapidly iterate on this experience through constant user feedback.

Backend Development: Build and maintain RESTful APIs (FastAPI) and micro services in Python to serve Large Physics Models to the end users. Working with other software engineers in our platform team, deploy these applications to the cloud so they become key tools in our customer’s day-to-day workflow. We use a mixture of Helm, Kubernetes, Terraform and AWS/Azure for provisioning and running our infrastructure.

PhysicsX Development: Distill down complex solutions built across multiple use cases into fundamental components. Pitch and execute the development of features on top of our core platform offering. Drive the direction of PhysicsX to be better positioned to solve ever harder problems with our customers.

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.

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Machine Learning Engineering employer: PhysicsX Ltd

At PhysicsX, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our team is dedicated to solving complex engineering challenges across various industries, providing employees with meaningful opportunities for growth and development. With a flexible work environment in the vibrant Shoreditch area of London, competitive compensation packages, and a commitment to diversity and inclusion, we empower our staff to make a positive impact while enjoying a supportive and dynamic workplace.
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Contact Detail:

PhysicsX Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Machine Learning Engineering

✨Tip Number 1

Familiarise yourself with the specific engineering disciplines mentioned in the job description, such as aerospace and renewable energy. Understanding the challenges faced in these fields will help you engage more effectively during interviews.

✨Tip Number 2

Showcase your problem-solving skills by preparing examples of complex issues you've tackled in previous roles. Be ready to discuss how you approached these problems and the impact your solutions had on the project or team.

✨Tip Number 3

Research PhysicsX and their current projects to understand their technology stack and customer needs. This knowledge will allow you to tailor your discussions and demonstrate your genuine interest in contributing to their mission.

✨Tip Number 4

Prepare to discuss your experience with cloud technologies like AWS or Azure, as well as your familiarity with tools like Kubernetes and Terraform. Being able to speak confidently about these technologies will set you apart from other candidates.

We think you need these skills to ace Machine Learning Engineering

Proficiency in Python
Experience with FastAPI for RESTful API development
Knowledge of cloud services (AWS/Azure)
Familiarity with container orchestration (Kubernetes, Helm)
Understanding of infrastructure as code (Terraform)
Strong software engineering fundamentals
Ability to design and deploy applications to production
Experience in backend development and microservices architecture
Problem-solving skills in complex engineering contexts
Collaboration skills with cross-functional teams
Customer-focused mindset
Ability to rapidly prototype and iterate based on user feedback
Understanding of physics concepts and their application in engineering
Adaptability to learn new technologies and methodologies

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Machine Learning Engineering position at PhysicsX. Tailor your application to highlight how your skills and experiences align with their needs.

Highlight Relevant Experience: In your CV and cover letter, emphasise any experience you have in software engineering, API design, and deploying applications. Mention specific projects where you've solved complex problems, especially in engineering contexts.

Showcase Problem-Solving Skills: PhysicsX is looking for someone who can tackle challenging problems. Use your application to provide examples of how you've identified issues and implemented effective solutions in previous roles or projects.

Personalise Your Cover Letter: Craft a compelling cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role and the company. Mention why you're excited about working at PhysicsX and how you can contribute to their mission.

How to prepare for a job interview at PhysicsX Ltd

✨Understand the Technical Landscape

Familiarise yourself with the various engineering disciplines relevant to the role, especially in areas like Mechanical Engineering. Be prepared to discuss how your technical skills can solve complex problems across different industries.

✨Showcase Your Proactivity

Demonstrate your ability to take ownership of projects and drive them to completion. Share examples from your past experiences where you identified a problem and took the initiative to solve it, highlighting your go-getter attitude.

✨Emphasise Customer-Centric Solutions

Prepare to discuss how you have worked closely with customers to understand their needs and develop solutions that truly address their challenges. Highlight any experience you have in gathering user feedback and iterating on designs.

✨Be Ready for Technical Questions

Expect questions related to backend development, API design, and cloud deployment. Brush up on your knowledge of tools like FastAPI, Kubernetes, and AWS/Azure, and be ready to explain how you've used them in previous projects.

Machine Learning Engineering
PhysicsX Ltd
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