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- Tasks: Develop and deploy machine learning models for real-world healthcare projects.
- Company: Join a leading tech firm focused on innovative healthcare solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by applying your ML skills to meaningful projects.
- Qualifications: PhD or MSc with relevant experience in machine learning and healthcare data.
- Other info: Collaborative team environment with exciting R&D opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the AI/Machine Learning Engineer role at IC Resources. An Applied Research and Engineering Team is looking for a Machine Learning Engineer to work on real-world healthcare and life sciences projects. The role focuses on developing, validating, and deploying machine learning models using complex, regulated data sets, with an emphasis on moving research into production environments. This position sits within a multidisciplinary team delivering externally funded R&D and early-stage product work, collaborating with engineers, researchers, and domain specialists.
Overview
The role involves developing, validating, and deploying ML models in healthcare settings, with attention to data protection and regulatory requirements.
Responsibilities
- Design, train, and evaluate machine learning models for classification and prediction tasks using healthcare data
- Work with large-scale, structured and semi-structured datasets (e.g. EHR-style or clinical datasets)
- Develop end-to-end ML pipelines from data ingestion through to deployment
- Deploy and maintain models in production environments
- Apply appropriate model validation, monitoring, and performance evaluation techniques
- Ensure work aligns with data protection and regulatory requirements (e.g. GDPR)
- Contribute to technical documentation and project reporting
- Collaborate closely with non-ML stakeholders to translate requirements into technical solutions
Required Skills & Experience
- A PhD with 2 years of experience or a MSc with 5 years of experience
- Strong background in machine learning with hands-on, applied experience
- Commercial experience working with healthcare, medical, or life sciences data
- Strong Python skills and experience with common ML libraries and frameworks
- Experience deploying ML models into production environments
- Familiarity with working in regulated or compliance-driven settings
- Experience handling noisy, incomplete, or real-world datasets
- Ability to communicate technical work clearly and concisely
Desirable Experience
- Experience with distributed data processing or cloud-based ML workflows
- Exposure to deep learning techniques
- Experience with time-series or longitudinal data
- Knowledge of model interpretability or explainability techniques
- Background in applied research or R&D environments
If you have the relevant experience, and are interested, then apply now. Otherwise, if you’re interested in any other positions within AI/ML and Computer Vision, then reach out to Oscar Harper at IC Resources.
Position Details
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Engineering and Information Technology
- Industries: Staffing and Recruiting
AI/Machine Learning Engineer in London employer: IC Resources
Contact Detail:
IC Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 machine learning projects, especially those related to healthcare. 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 explaining complex concepts in simple terms, as you'll need to communicate effectively with non-ML stakeholders.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI/Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI/Machine Learning Engineer role. Highlight your experience with healthcare data and any relevant projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Projects: Include specific examples of machine learning models you've developed, validated, and deployed. We love seeing real-world applications, especially in healthcare settings, so don’t hold back on the details!
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. Explain why you're a great fit for the role and how your background aligns with our focus on moving research into production environments. We appreciate straightforward communication!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at IC Resources
✨Know Your ML Models Inside Out
Make sure you can discuss the machine learning models you've worked on in detail. Be ready to explain your design choices, how you validated them, and any challenges you faced during deployment. This shows your hands-on experience and understanding of the complexities involved.
✨Brush Up on Healthcare Regulations
Since this role involves working with regulated data, it's crucial to be familiar with data protection laws like GDPR. Prepare to discuss how you've ensured compliance in past projects, as this will demonstrate your ability to navigate the regulatory landscape effectively.
✨Showcase Your Collaboration Skills
This position requires working closely with non-ML stakeholders. Be prepared to share examples of how you've translated technical requirements into solutions for diverse teams. Highlighting your communication skills will show that you can bridge the gap between technical and non-technical team members.
✨Prepare for Technical Questions
Expect to face technical questions related to Python, ML libraries, and data handling. Brush up on your coding skills and be ready to solve problems on the spot. Practising common interview questions can help you feel more confident and articulate during the interview.
