At a Glance
- Tasks: Join us to develop cutting-edge AI models for drug design and transform biopharmaceutical research.
- Company: Innovative biotech firm at the forefront of AI and drug discovery.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to work alongside top scientists and engineers.
- Why this job: Make a real impact in healthcare by applying your ML skills to groundbreaking projects.
- Qualifications: PhD or relevant experience in ML, strong engineering background, and passion for innovation.
The predicted salary is between 60000 - 80000 £ per year.
Requirements:
- PhD in technical subject with major engineering component and exposure to AI/ML, or BSc, MSc and 2+ years of specific experience working on ML model development.
- Strong general engineering experience, as evidenced by exposure to one or more of:
- Software design / algorithms, especially for deep learning frameworks
- Modern ML frameworks such as JAX, PyTorch or TensorFlow
- Distributed systems and runtimes
- Compilers (e.g. XLA, Triton, CUDA, Pallas)
- Large scale model training and serving infrastructure
- Experience in navigating complex research codebases
- Databases and data processing pipelines
- Numerical methods, simulation, optimisation
- Strong fundamentals in mathematics, statistics, linear algebra
- Experience with the full ML research and development lifecycle
- Strong understanding of ML theory and applications
- Strong understanding of data structures and algorithms
- (Desirable) Interest in chemistry and biology
- (Desirable) Experience working with biomedical data
- (Desirable) Knowledge of the pharmaceutical industry, ideally with a focus on drug discovery
What the job involves:
- We are looking for Research Engineers with different levels of experience - Mid through to Senior, Staff, Principal or equivalent levels.
- This is an exciting opportunity for you to contribute to frontier research at the intersection of AI and drug design.
- Working in a highly creative, iterative environment, you will be partnering with scientists and engineers to advance foundational models that will transform the biopharmaceutical world as we know it.
- You will draw upon your existing engineering and Machine Learning experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems.
- Translate research concepts into practical implementations by developing and optimising state-of-the-art AI models, and building and maintaining robust codebases, data pipelines, and infrastructure for training and evaluation.
- Design, implement, and run experiments to evaluate the performance and robustness of ML models, using a full spectrum of state-of-the-art machine learning methods.
- Evaluating, tuning, and maintaining AI/ML models (which includes collecting and preparing data as needed).
- Implement algorithms and software to analyse and evaluate the performance of AI models.
- Optimising performance of AI/ML models leveraging a deep understanding of the AI/ML hardware+software stack.
- Advise on how to bring AI/ML models to production and/or integrating them into product offerings, and monitoring and refining their behaviour.
- Developing specialised tools/frameworks/infrastructure to aid in the work above.
- Work closely with research scientists and engineers, contributing to team discussions, sharing knowledge, and actively participating in code reviews to foster a collaborative environment.
- Proactively identify and address technical challenges, stay updated on the latest AI advancements, and focus on developing solutions that enable scaling our wider foundation and applied model platforms.
- Ability to execute on independent engineering projects and software development towards research goals.
Machine Learning Research Engineer in London employer: Isomorphic Labs
Join a pioneering company at the forefront of AI and drug design, where your expertise as a Machine Learning Research Engineer will be valued in a collaborative and innovative environment. With a strong emphasis on employee growth, you will have access to cutting-edge resources and opportunities to work alongside leading scientists and engineers, all while contributing to transformative research that impacts the biopharmaceutical industry. Our inclusive work culture fosters creativity and encourages continuous learning, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Research Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with researchers and engineers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving deep learning frameworks like PyTorch or TensorFlow. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and data structures. Practice coding challenges and be ready to discuss your past projects in detail, especially how you tackled complex problems in ML model development.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people in our team.
We think you need these skills to ace Machine Learning Research Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in ML model development and engineering. We want to see how your skills align with the job description, so don’t be shy about showcasing your projects and achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and drug design. We love seeing candidates who can connect their background to our mission, so let your enthusiasm come through.
Showcase Your Technical Skills:When filling out your application, make sure to mention your experience with modern ML frameworks like JAX, PyTorch, or TensorFlow. We’re looking for engineers who can hit the ground running, so highlight any relevant tools and technologies you’ve worked with.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Isomorphic Labs
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals and the specific frameworks mentioned in the job description, like JAX, PyTorch, or TensorFlow. Be ready to discuss your past experiences with ML model development and how you've tackled complex research codebases.
✨Show Your Engineering Skills
Highlight your general engineering experience by discussing projects where you implemented algorithms or worked with distributed systems. Prepare examples that showcase your problem-solving skills and your ability to optimise performance in AI/ML models.
✨Be Ready for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on numerical methods, statistics, and linear algebra, as well as your understanding of data structures and algorithms. Practise explaining these concepts clearly and concisely.
✨Demonstrate Collaboration
Since the role involves working closely with scientists and engineers, be prepared to discuss how you've collaborated in the past. Share examples of how you contributed to team discussions, participated in code reviews, and helped tackle technical challenges together.
