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
- 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)
- 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
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer
✨Get Involved in Local Research Communities
Tap into local biotechnology meetups and research forums. These are great places to mingle with industry professionals, share your passion, and even discover unadvertised job openings. It's all about getting your face known in the field!
✨Leverage University Alumni Networks
If you're a recent grad, don’t underestimate the power of your university’s alumni network! Reach out to alumni working in biotechnology to gather tips about job openings at companies like Llama Recruitment Solutions. You'd be surprised how willing people are to help out a fellow grad!
✨Show Off Your Projects
Curate a portfolio showcasing any research projects or internships you've completed in biotechnology. This tangible evidence of your skills can really impress employers when you chat with them at networking events or interviews. It's about making that killer first impression!
✨Stay Up-to-Date with Industry Trends
Biotech is a fast-paced field, so keeping yourself updated with the latest advancements is crucial. Attend industry conferences, webinars, or workshops to broaden your knowledge and meet potential employers. Plus, it’ll give you fantastic talking points for your interviews at places like Llama Recruitment Solutions!
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show Llama Recruitment Solutions that you have the hands-on skills they need.
Tailor Your Technical Skills:Make sure to emphasise your technical skills, especially those relevant to the biotechnology sector. Include any software tools or programming languages you've used, like R or Python for data analysis, which could be key for this role at Llama Recruitment Solutions.
Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that Llama Recruitment Solutions does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.
Include Your Papers and Projects:If you've published any papers or contributed to significant projects, mention them! These documents can boost your application and provide tangible evidence of your expertise in the biotechnology field. Don’t forget to link to any relevant publications or project summaries—this can set you apart from other candidates.
How to prepare for a job interview at Llama Recruitment Solutions
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at Llama Recruitment Solutions. You might even be asked to demonstrate your understanding of these processes.
✨Know Your Bioinformatics Tools
Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
✨Show Your Teamwork Skills
Biotech often involves collaboration across multiple disciplines. Be ready to share stories that highlight your teamwork and communication skills, especially in research projects. Think about working with different teams at university or any internships – this is where you can show how well you fit into Llama Recruitment Solutions's culture.
✨Research Recent Biotech Innovations
Stay updated on the latest trends and breakthroughs in biotechnology. Knowing what's happening in the field can help you engage in more meaningful discussions during your interview. Bring up recent articles or advancements that excite you, especially those related to the work being done at Llama Recruitment Solutions. This shows your passion for the industry!
