At a Glance
- Tasks: Design and implement cutting-edge ML models to revolutionise biomedical research.
- Company: Join Boehringer Ingelheim, a top employer dedicated to healthcare innovation.
- Benefits: Enjoy hybrid work, health programmes, and a supportive team environment.
- Other info: Collaborate with researchers and grow your career in a dynamic setting.
- Why this job: Make a real impact in healthcare by advancing AI in medicine.
- Qualifications: Postgraduate degree in ML or related field; hands-on deep learning experience required.
The predicted salary is between 63000 - 77000 £ per year.
Boehringer Ingelheim’s AI Accelerator builds production-quality AI capabilities to improve understanding of disease biology and increase the probability of successful medicines. The AI Systems team designs, builds and deploys multimodal foundation models across biomedical data to enhance and accelerate portfolio decision-making.
Responsibilities:
- Bring ML engineering expertise into architectural design, ensuring foundation models are efficient and scalable.
- Implement biomedical foundation model components, including training code, data loaders, tokenisers, inference logic and fine-tuning interfaces.
- Translate validated research prototypes into robust, production-quality model artefacts and contribute to benchmarking and performance evaluation.
- Optimise validated models and inference pipelines using quantisation, distillation and pruning to meet production efficiency and latency requirements.
- Write clean, well-tested and well-documented code and uphold engineering standards across the team.
- Lead model handovers to MLOps engineers with documentation covering capabilities, known limitations, failure modes and retraining criteria.
- Stay current with advances in ML engineering, distributed training and biomedical AI tooling.
Requirements:
- Hold a postgraduate degree in Machine Learning, Computer Science, Computational Biology or a related technical field.
- Have a PhD or an MSc with equivalent industry experience.
- Have hands-on experience with deep learning and foundation model implementations, including transformers, pre-training and fine-tuning, ideally at scale.
- Have experience delivering production-quality model artefacts and moving research prototypes to reliable deployment.
- Have experience partnering closely with researchers throughout implementation.
- Be proficient in Python and deep learning frameworks such as PyTorch or JAX.
- Have strong software engineering fundamentals, including clean, testable, well-documented and maintainable code, version control and code reviews.
- Have experience with distributed training frameworks such as PyTorch Distributed, DeepSpeed, FSDP or Ray Train.
- Have experience optimising models for inference, including quantisation, distillation and pruning.
- Nice to have: experience with biomedical data modalities such as genomics, multi-omics, clinical or imaging data in an ML context; Publications or contributions to open-source ML projects or tooling.
Conditions:
- Hybrid role with approximately 3 days a week in the office.
- Boehringer Ingelheim has been recognised as a Top Employer in the UK.
- Access to health and wellbeing programs and groups.
- The company invests in global accessibility to healthcare.
ml engineer for biomedical foundation models in London employer: Enfint
AJ Bell is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, you will have the opportunity to mentor junior designers while working on impactful design systems that prioritise accessibility and usability. Enjoy a supportive environment that values proactive communication and offers unique benefits tailored to enhance your professional journey.
StudySmarter Expert Advice🤫
We think this is how you could land ml engineer for biomedical foundation models in London
✨Get Involved in Local Research Communities
Tap into local biotechnology meetups and research forums. These are great places to mingle with industry professionals, share your passion, and even discover unadvertised job openings. It's all about getting your face known in the field!
✨Leverage University Alumni Networks
If you're a recent grad, don’t underestimate the power of your university’s alumni network! Reach out to alumni working in biotechnology to gather tips about job openings at companies like Enfint. You'd be surprised how willing people are to help out a fellow grad!
✨Show Off Your Projects
Curate a portfolio showcasing any research projects or internships you've completed in biotechnology. This tangible evidence of your skills can really impress employers when you chat with them at networking events or interviews. It's about making that killer first impression!
✨Stay Up-to-Date with Industry Trends
Biotech is a fast-paced field, so keeping yourself updated with the latest advancements is crucial. Attend industry conferences, webinars, or workshops to broaden your knowledge and meet potential employers. Plus, it’ll give you fantastic talking points for your interviews at places like Enfint!
We think you need these skills to ace ml engineer for biomedical foundation models in London
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show Enfint that you have the hands-on skills they need.
Tailor Your Technical Skills:Make sure to emphasise your technical skills, especially those relevant to the biotechnology sector. Include any software tools or programming languages you've used, like R or Python for data analysis, which could be key for this role at Enfint.
Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that Enfint does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.
Include Your Papers and Projects:If you've published any papers or contributed to significant projects, mention them! These documents can boost your application and provide tangible evidence of your expertise in the biotechnology field. Don’t forget to link to any relevant publications or project summaries—this can set you apart from other candidates.
How to prepare for a job interview at Enfint
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at Enfint. You might even be asked to demonstrate your understanding of these processes.
✨Know Your Bioinformatics Tools
Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
✨Show Your Teamwork Skills
Biotech often involves collaboration across multiple disciplines. Be ready to share stories that highlight your teamwork and communication skills, especially in research projects. Think about working with different teams at university or any internships – this is where you can show how well you fit into Enfint's culture.
✨Research Recent Biotech Innovations
Stay updated on the latest trends and breakthroughs in biotechnology. Knowing what's happening in the field can help you engage in more meaningful discussions during your interview. Bring up recent articles or advancements that excite you, especially those related to the work being done at Enfint. This shows your passion for the industry!
