At a Glance
- Tasks: Design and implement cutting-edge AI/ML solutions for biomedical data.
- Company: Genomics England / NHS Digital, a leader in clinical AI.
- Benefits: Full-time contract, continuous training, and access to vast genomic data.
- Other info: Work in London with experts in biology and medicine.
- Why this job: Make a real impact in healthcare with innovative AI technologies.
- Qualifications: Degree in Computer Science or related field; strong Python and ML experience.
The predicted salary is between 50000 - 70000 € per year.
Genomics England / NHS Digital busca un AI/ML Engineer especializado en IA clínica para desarrollar soluciones de machine learning aplicadas a datos biomédicos y genómicos a lo largo del ciclo completo de desarrollo de modelos.
Responsabilidades
- Diseñar e implementar soluciones AI/ML en el ciclo completo de desarrollo de modelos.
- Investigar y desarrollar modelos de machine learning de última generación, incluyendo deep learning, para tareas de predicción biomédica.
- Entregar código robusto y testado en un entorno ágil.
- Colaborar con expertos en biología, medicina e investigación para garantizar la óptima recolección de datos de entrenamiento.
- Optimizar el rendimiento de modelos sobre conjuntos de datos genómicos y clínicos a gran escala.
- Documentar arquitecturas, métricas y resultados de modelos.
Requisitos
- Grado en Informática, Estadística, Bioinformática o disciplina relacionada.
- Experiencia sólida en Python, PyTorch o TensorFlow y frameworks de ML.
- Experiencia con datos clínicos o genómicos (EHR, secuenciación genómica).
- Máster o doctorado en área relevante valorable.
- Familiaridad con pipelines de datos en la nube (AWS, GCP o Azure).
Se ofrece: contrato a tiempo completo, trabajo presencial en Londres, formación continua y acceso a los datos genómicos más grandes del mundo.
AI/ML Engineer - Clinical AI en Biomédica in London employer: Evidenzia
Genomics England / NHS Digital is an exceptional employer, offering AI/ML Engineers the opportunity to work at the forefront of clinical AI in a collaborative environment. With a commitment to continuous training and access to the world's largest genomic datasets, employees can expect significant professional growth while contributing to impactful healthcare solutions in the vibrant city of London.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Engineer - Clinical AI en Biomédica in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI/ML field, especially those working in clinical settings. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to biomedical data. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI/ML and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Keep an eye on our listings and make sure your application stands out!
We think you need these skills to ace AI/ML Engineer - Clinical AI en Biomédica in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI/ML Engineer role. Highlight your experience with Python, PyTorch, or TensorFlow, and any work you've done with clinical or genomic data. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about clinical AI and how your background makes you a great fit for our team. Don't forget to mention any relevant projects or research you've been involved in.
Showcase Your Projects:If you've worked on any machine learning projects, especially those related to biomedical data, make sure to include them. We love seeing practical examples of your work, so link to your GitHub or any other portfolio you have!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Evidenzia
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, PyTorch, and TensorFlow. Brush up on your knowledge of machine learning models, especially deep learning techniques, as you’ll likely be asked to discuss your experience with these tools during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific projects where you've developed AI/ML solutions. Be ready to explain your thought process, the challenges you faced, and how you optimised model performance, especially with large genomic datasets.
✨Collaborate Like a Pro
Since collaboration with biologists and medical experts is key, think of examples where you’ve worked in interdisciplinary teams. Highlight how you ensured effective data collection and communication to achieve project goals.
✨Document Everything
Be prepared to talk about how you document your work. Discuss the importance of documenting architectures, metrics, and results, and how this practice contributes to the overall success of AI/ML projects in a clinical setting.
