At a Glance
- Tasks: Develop and deploy AI/ML solutions for lung cancer diagnosis and treatment.
- Company: Fast-scaling MedTech company revolutionising healthcare with cutting-edge AI.
- Benefits: Competitive salary, bonus scheme, private medical insurance, and strong benefits package.
- Other info: On-site work in Oxford 2 days a week with excellent growth potential.
- Why this job: Make a real impact on patient lives while growing your career in a mission-driven environment.
- Qualifications: 3+ years in machine learning or related fields, strong Python skills, and effective communication.
The predicted salary is between 60000 - 80000 £ per year.
We're partnering with an innovative, fast-scaling MedTech company that's redefining how lung cancer and lung diseases are diagnosed and treated, using cutting-edge AI. This is an excellent opportunity for a Machine Learning Engineer eager to contribute technical expertise and take ownership in a fast-moving environment with strong potential for growth. You’ll play a key role in ensuring their AI/ML products are robust and ready for deployment. (This role requires you to work on-site at the client company's Oxford office 2 days per week)
Key responsibilities
- Deliver high-quality, well-tested features that directly impact early detection and treatment of lung cancer
- Collaborate with ML scientists and engineering teams to deploy models to production
- Research and introduce new technologies to maintain competitive edge
- Participate in Agile processes, including planning and standups
- Support and enhance cloud and CI/CD infrastructure
- Troubleshoot and resolve production challenges
Ideal candidate
- 3yrs+ experience in computer vision, machine learning, bioinformatics, or medical informatics
- Proven ability to build maintainable, secure, and high-performance solutions
- Strong proficiency in Python and modern ML frameworks
- Skilled in deploying and supporting ML models in production
- Excellent communicator across technical teams and stakeholders
- Effective problem-solver who takes initiative in complex production settings
- Experience with scientific computing, deep learning, big data, or health IT ontologies (e.g., PyTorch, JAX, Spark, HL7, FHIR) (desirable)
- Familiarity with cloud infrastructure (Azure/AWS), infrastructure as code, Kubernetes, Linux, Docker, data pipelines, and MLOps tools (desirable)
- Passion for biomedical topics and startup experience (desirable)
What’s on offer
- Competitive salary, bonus scheme, and strong benefits package
- Pension, enhanced sick pay, private medical insurance, and medical cash pay
- A high-impact role with visibility and growth potential where performance is rewarded
- Meaningful mission with real patient impact
If you're looking for a meaningful role where you can grow with a mission-led company, please apply.
Machine Learning Engineer employer: Llama Recruitment Solutions
Join an innovative MedTech company in Oxford that is at the forefront of transforming lung cancer diagnosis and treatment through advanced AI technology. As a Machine Learning Engineer, you will thrive in a dynamic work culture that values collaboration, creativity, and personal growth, offering competitive salaries, comprehensive benefits, and a chance to make a significant impact on patient care. With opportunities for professional development and a commitment to meaningful work, this role is perfect for those looking to contribute to a vital mission while advancing their careers.
Contact Details:
Llama Recruitment Solutions Recruitment Team
