Top Machine Learning Engineering Jobs

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 and profitable companybut 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). 

What you will do

• Work closely with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving
• Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable
• Explore and manipulate 3D point cloud & mesh data
• Own the delivery of technical workstreams 
• Create analytics environments and resources in the cloud or on premise, spanning data engineering and science 
• Identify the best libraries, frameworks and tools for a given task, make product design decisions to set us up for success 
• Work at the intersection of data science and software engineering to translate the results of our R&D and projects into re-usable libraries, tooling and products 
• Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption

• Enthusiasm about using machine learning for science and engineering 
• Degree in computer science, software engineering or equivalent 
• 2+ years’ 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., TensorFlow, MLFlow) 
• 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 customers alike 

• 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. Be able to properly switch off in the evening and during weekends. What matters is the quality of our work 
• 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, with your choice of either our lovely London Shoreditch or Bicester Heritage offices to collaborate in, 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.   

Introduction 

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 and profitable companybut 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 junior 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). 

What you will do

• Work closely with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving 
• Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable 
• Explore and manipulate 3D point cloud & mesh data
• Contribute to the delivery of technical workstreams 
• Create analytics environments and resources in the cloud or on premise, spanning data engineering and science 
• Identify the best libraries, frameworks and tools for a given task, make product design decisions to set us up for success 
• Work at the intersection of data science and software engineering to translate the results of our R&D and projects into re-usable libraries, tooling and products 
• Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption 

• Enthusiasm about using machine learning for science and engineering 
• Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly 
• Excellent collaboration and communication skills - with teams and customers alike 
• Degree in computer science, software engineering or equivalent, ideally 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., TensorFlow, MLFlow) 
• Distributed computing frameworks (e.g., Spark, Dask) 
• Cloud platforms (e.g., AWS, Azure, GCP) and HP computing 
• Containerization and orchestration (Docker, Kubernetes)    

• 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. Be able to properly switch off in the evening and during weekends. What matters is the quality of our work 
• 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, with your choice of either our lovely London Shoreditch or Bicester Heritage offices to collaborate in, 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 

Our stance 

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.   

Company Overview

Computation is revolutionizing drug discovery. Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.

We can count on you to…

• Act as both an Individual Contributor (IC), who can roll up her sleeve, and play an important role in our mission to use AI/ML to develop drugs against historically difficult disease targets, as well as a Leader who can build and grow the ML Engineering & AI Research team over time

• Own 
• Propose innovative AI/ML models that address specific use cases in our drug discovery process 
• Develop and launch prototype models 
• Own the company’s Microsoft Azure Infrastrucure 
• Productionize AI/ML models on Azure
• Grow the team 
• Teach 
• Teach their cross-disciplinary colleagues from Computational Chemistry, Medicinal Chemistry, Computational Biology, Cell Biology, and Pharmacology, how AI/ML can solve important problems for them 
• Learn 
• Drug discovery and development 
• Improve 
• Our existing process for incorporating AI/ML into drug discovery 

• Form a view on which AI/ML models address the highest need use cases in our drug discovery process 
• Begin prototyping AI/ML models on Azure 

• Productionize AI/ML models on Azure that would become a cornerstone of the company’s drug discovery efforts 

• Continue improving the first set of production-grade AI/ML models on Azure 
• Build and productionize improved AI/ML models on Azure to harmonize and accelerate our drug discovery process 

• Grow the team with new hires including ML Engineers, AI Researchers, and Product Managers 

• Extremely generous equity package coupled with competitive salary 
• Healthcare benefits 
• Generous vacation and parental leave 
• Super cool team building activities 
• Flexible work schedule 
• Great colleagues