At a Glance
- Tasks: Develop and deploy cutting-edge NLP models that enhance patient care.
- Company: Join a pioneering company transforming healthcare with AI technology.
- Benefits: Equity stake, private health insurance, 25 days holiday, and a £1,500 learning budget.
- Other info: Flexible working options and a dynamic environment focused on growth.
- Why this job: Make a real difference in patient outcomes through innovative machine learning solutions.
- Qualifications: 3+ years in ML/NLP, strong Python skills, and experience with transformer models.
We're looking for a Machine Learning Engineer to develop and deploy the clinical NLP models at the heart of Medelic. You'll work on understanding natural patient conversations, extracting structured medical information, and ensuring our models meet the highest standards of clinical accuracy.
This is a unique opportunity to work on ML that directly impacts patient care. Every model improvement you make translates to better triage decisions and better outcomes for real patients.
What You'll Do
- Develop NLP models for clinical entity extraction and symptom understanding
- Fine-tune and deploy large language models for medical dialogue
- Build evaluation frameworks to measure clinical accuracy and safety
- Collaborate with clinicians to understand domain requirements
- Design and implement model monitoring and feedback loops
- Optimise models for real-time inference with strict latency requirements
- Contribute to our clinical safety evaluation processes
What We're Looking For
- 3+ years of experience in ML/NLP roles
- Strong experience with transformer-based models and LLMs
- Proficiency in Python and ML frameworks (PyTorch, Hugging Face)
- Experience deploying models to production at scale
- Understanding of evaluation metrics and methodology for NLP systems
- Excellent problem-solving skills and attention to detail
- Ability to communicate complex technical concepts clearly
Nice to Have
- Experience with clinical/biomedical NLP
- Familiarity with SNOMED-CT, ICD-10, or other medical ontologies
- Background in speech recognition or dialogue systems
- Publications in NLP or clinical informatics
- Experience with model safety and alignment techniques
Our Stack
Python, PyTorch, Hugging Face, Ray, Weights & Biases, GCP (Vertex AI), Kubernetes. We stay close to the state of the art and aren't afraid to adopt new approaches when they make sense.
- Equity: Meaningful equity stake in a growing company
- Private health insurance
- 25 days holiday + bank holidays
- £1,500 annual learning budget
- Flexible working (hybrid or remote)
- Enhanced parental leave
Machine Learning Engineer employer: Medelic
At Medelic, we pride ourselves on being an exceptional employer, offering a unique opportunity for Machine Learning Engineers to make a tangible impact on patient care through innovative NLP models. Our collaborative work culture fosters continuous learning and growth, supported by a generous annual learning budget and flexible working arrangements. With meaningful equity stakes and comprehensive benefits, we ensure that our employees are not only valued but also empowered to thrive in their careers.
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We think this is how you could land Machine Learning Engineer
✨Get Involved in Data Science Meetups
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Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Medelic. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Medelic
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Medelic!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
