At a Glance
- Tasks: Design and improve AWS infrastructure for machine learning workloads and manage cloud environments.
- Company: Boehringer Ingelheim, a leading biopharmaceutical company focused on innovative therapies.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with strong focus on innovation and career development.
- Why this job: Join a mission-driven team making a real impact in health through technology.
- Qualifications: Experience with AWS, cloud infrastructure, and machine learning platforms required.
The predicted salary is between 63000 - 77000 £ per year.
Boehringer Ingelheim is a biopharmaceutical company active in human and animal health. It develops innovative therapies aimed at improving and extending lives in areas of high unmet medical need.
Responsibilities:
- Design, maintain and continuously improve AWS-based infrastructure supporting machine learning workloads, including SageMaker, networking, IAM, storage, compute resources and model endpoints.
- Manage cloud environments through Infrastructure as Code while ensuring consistency, scalability and compliance with enterprise architecture, security and governance standards.
- Monitor platform performance, availability, security findings and resource utilization, proactively identifying and resolving operational issues.
- Plan and manage cloud capacity, including CPU, GPU, storage and networking resources, balancing business needs, platform performance and cost efficiency.
- Build and support infrastructure for MLOps processes, including CI/CD pipelines, experiment tracking, model registries, automated workflows and model deployment.
- Develop reusable automation and platform capabilities that simplify onboarding, reduce manual work and improve the user experience for researchers and ML teams.
- Enable and maintain integrations between AWS services and supporting technologies such as Databricks, MLflow, Jenkins, Bitbucket, OpenShift and related platforms.
- Act as the primary technical contact for stakeholders, translating business and research requirements into effective cloud and platform solutions.
- Create and maintain technical documentation, support onboarding activities and contribute to the evaluation of new cloud and MLOps technologies.
Requirements:
- Hands-on experience designing, implementing and supporting cloud infrastructure in AWS environments.
- Strong knowledge of AWS services including SageMaker, IAM, networking, storage, compute services and container technologies.
- Experience with Infrastructure as Code and cloud automation practices.
- Understanding of cloud security, governance, compliance and access management principles.
- Experience supporting machine learning, data science or MLOps platforms.
- Knowledge of CI/CD practices and tools used for software and machine learning delivery.
- Experience working with technologies such as Databricks, MLflow, Jenkins, Bitbucket, OpenShift or comparable platforms.
- Ability to troubleshoot complex technical issues and continuously improve platform reliability, performance and efficiency.
- Strong stakeholder management and communication skills, with the ability to work effectively across international and cross-functional teams.
- Degree or equivalent qualification in Information Technology, Computer Science or a related field.
Conditions:
- Hybrid role with approximately 3 days a week in the office.
cloud engineer for ML platforms in London employer: Enfint
As a leading innovator in AI products for major publishers, our company offers an inspiring work environment where creativity and technology intersect. We prioritise employee growth through continuous learning opportunities and foster a collaborative culture that values diverse perspectives. Located in a vibrant city, we provide competitive salaries, relocation support, and the chance to make a real impact in the media landscape.
StudySmarter Expert Advice🤫
We think this is how you could land cloud engineer for ML platforms in London
✨Get Involved in Local Research Communities
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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!
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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 Enfint!
We think you need these skills to ace cloud engineer for ML platforms in London
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 Enfint 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 Enfint.
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 Enfint 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 Enfint
✨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 Enfint. 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 Enfint'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 Enfint. This shows your passion for the industry!