At a Glance
- Tasks: Design and deploy innovative machine learning solutions in healthcare.
- Company: Join a pioneering AI software company transforming healthcare with cutting-edge technology.
- Benefits: Competitive salary, hybrid work options, and opportunities for professional growth.
- Other info: Collaborative team environment with exciting challenges in the healthcare sector.
- Why this job: Make a real impact on patient outcomes using advanced AI and machine learning.
- Qualifications: 3+ years in Machine Learning/Computer Vision, strong Python skills, and cloud experience.
The predicted salary is between 55000 - 65000 £ per year.
Location
(Hybrid/ Remote)
Salary
£55,000 - £65,000
Job Type
Permanent, Full-Time
About the Company
We're partnering with an innovative AI software company that develops machine learning solutions for the healthcare and life sciences sector.
Their technology helps organisations unlock insights from complex clinical, molecular and imaging data, supporting research, drug development and improved patient outcomes.
The Opportunity
We're looking for a Senior Machine Learning/ Computer Vision Engineer to join a growing AI team, helping to design, build and deploy production-ready machine learning solutions.
You'll work closely with data scientists, software engineers and domain experts to develop scalable AI capabilities across healthcare datasets, with exposure to computer vision, medical imaging, cloud infrastructure and MLOps.
Key Responsibilities
- Design, develop and deploy production-grade machine learning models.
- Build scalable ML/ CV pipelines and integrate AI solutions into production systems.
- Work with large healthcare datasets, including clinical, imaging and molecular data.
- Support the development of computer vision and medical imaging solutions.
- Optimise model performance, scalability and deployment within cloud environments.
- Contribute to MLOps practices including model monitoring, CI/CD and automation.
- Collaborate with cross-functional engineering and scientific teams to deliver innovative AI solutions.
Essential Requirements
- 3+ years' commercial Machine Learning/ Computer Vision Engineering experience.
- Strong Python programming skills.
- Commercial experience with Py Torch or Tensor Flow.
- Experience deploying machine learning models into production.
- AWS or other cloud platform experience.
- Docker and Kubernetes.
- Knowledge of MLOps, CI/CD and software engineering best practices.
- Strong communication skills and the ability to work within multidisciplinary teams.
Desirable Experience
- Medical Imaging.
- Healthcare, Med Tech, Biotech, Pharmaceutical or Life Sciences.
- Rust.
- Experience working within regulated environments.
- What's on Offer
This is an opportunity to work on cutting-edge AI technology that is making an impact within healthcare and life sciences.
You'll join a collaborative engineering team, work on challenging machine learning problems, and play a key role in developing scalable AI products used by leading organisations in the sector.
If you're interested in finding out more, please apply for a confidential discussion. Further details about the company will be shared with suitable candidates.
Machine Learning/ Computer Vision Engineer in England employer: NearTech Search
At NearTech Search, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture in the heart of Cheshire. Our commitment to employee growth is evident through tailored development programmes and opportunities for impactful leadership roles, making it an ideal environment for those looking to drive significant change in the tech landscape. Join us to be part of a dynamic international team where your contributions will directly shape the future of our platform and AI governance.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning/ Computer Vision Engineer in England
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We think you need these skills to ace Machine Learning/ Computer Vision Engineer in England
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 NearTech Search. 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!
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✨Brush Up on Your Statistics
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