At a Glance
- Tasks: Design and implement cutting-edge ML solutions to revolutionise pharma intelligence.
- Company: Join a pioneering team transforming healthcare with innovative data science.
- Benefits: Competitive salary, flexible working, and opportunities for continuous learning.
- Other info: Collaborative environment with strong focus on mentorship and career growth.
- Why this job: Make a real impact in healthcare by leveraging advanced AI and ML technologies.
- Qualifications: Graduate degree in a relevant field and 5+ years of experience in AI/ML applications.
Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making. Our unique collaborative approach fosters a dynamic synergy between data science and product development. Our deep expertise in machine learning, artificial intelligence, advanced statistical modelling, and big data, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry.
SCOPE OF THE ROLE
In this role as a Senior Machine Learning Engineer you will:
- Design and implement data ingestion, model training, validation, deployment and monitoring pipelines across the organization.
- Optimize ML infrastructure and systems for maintainability, scalability, robustness, efficiency, and operating costs.
- Collaborate with product stakeholders, data scientists and engineering teams to design and implement AI / ML solutions for complex business problems and use cases.
- Define reference architectures suitable to answer complex questions, including via code interpreting, LLM tool use and leveraging secondary data science models.
- Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments.
REQUIREMENTS:
Basic Qualifications
- Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience.
- 5+ years of experience designing large scale, complex, data intensive, AI / ML applications in an industrial setting.
- Substantial depth and breadth in system design, latency optimization, cloud infrastructure optimization, knowledge graphs, and MLOps.
- Deep understanding of CS fundamentals, computational complexity and algorithm design.
- Experience with building large-scale distributed systems in an agile environment and the ability to build quick prototypes.
- Excellent knowledge of Python and core data science libraries including Pandas, NumPy and other similar libraries.
- Experience mentoring junior team members.
- Excellent problem solving and communication skills.
Preferred Qualifications
- Knowledge of the healthcare domain and experience with applying AI to healthcare data.
- Experience with AWS especially in relation to ML workflows with SageMaker, ECS, serverless compute and storage such as S3 and Snowflake.
Senior Machine Learning Engineer employer: True North Group
As a Senior Machine Learning Engineer at our innovative company, you will be part of a dedicated Data Science team that is transforming pharma intelligence and enhancing patient access to vital therapies. We pride ourselves on a collaborative work culture that encourages continuous learning and professional growth, offering opportunities to work with cutting-edge technology in a dynamic environment. Our commitment to employee development, coupled with the chance to make a meaningful impact in the healthcare sector, makes us an exceptional employer for those seeking rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like True North Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Machine Learning Engineer at True North Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like True North Group.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Machine Learning Engineer at True North Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Machine Learning Engineer
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at True North Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at True North Group. 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!
How to prepare for a job interview at True North Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at True North Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
