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For Companies At a Glance
- Tasks: Join our team to enhance NLP models and drive impactful projects.
- Company: BenchSci, a leader in biomedical AI software.
- Benefits: Competitive salary, equity options, flexible vacation, and health benefits.
- Why this job: Transform scientific research with cutting-edge technology and make a real difference.
- Qualifications: 5+ years in software development, strong NLP experience, and teamwork skills.
- Other info: Inclusive culture focused on growth, collaboration, and diversity.
The predicted salary is between 48000 - 84000 £ per year.
We are looking for a Senior Machine Learning Engineer to join our growing engineering team. You’re the perfect fit if you are passionate about solving problems in NLP, have a great appreciation for science and want to transform how it is done.
You Will
- Continuously improve the performance and scalability of ML models that are at the core of BenchSci’s products.
- Build and deploy models from inception to live in production pipelines.
- Work with BenchSci's Product Managers and Scientists to correctly capture the nuances of biology.
- Lead or consult the authoring of engineering design proposals following the unified Platform Stream roadmap at BenchSci.
- Leverage a deep understanding of the business context and the team’s goals to unlock independent technical decisions in the face of open-ended requirements.
- Proactively identify new opportunities and advocate for and implement improvements to the current state of projects.
- Respond with urgency and drive urgency in own team to operational issues, owning resolution within one’s sphere of responsibility.
- Advocate for code and process improvements across your team, and help to define best practices based on personal industry experience and research.
- Participate in sprint planning, estimation and reviews.
- Take ownership of deliverables, and work with teammates to ensure high-quality deliverables.
You Have
- 5+ years of software development experience.
- Bachelor’s degree in Computer Science or Mathematics (or equivalent).
- Strong experience with NLP.
- At least three years of industry experience in machine learning.
- Strong experience with TensorFlow, PyTorch, and image processing libraries such as OpenCV and scikit-image.
- Experience with data processing frameworks and Cloud ML tooling.
- A constant desire to grow and develop.
- Strong cross-team communication and collaboration skills.
- A team player who strives to see teammates succeed together.
Benefits and Perks
- A great compensation package that includes BenchSci equity options.
- A robust vacation policy plus an additional vacation day every year.
- Company closures for 14 more days throughout the year.
- Flex time for sick days, personal days, and religious holidays.
- Comprehensive health and dental benefits.
- Annual learning & development budget.
- A one-time home office set-up budget to use upon joining BenchSci.
- An annual lifestyle spending account allowance.
- Generous parental leave benefits with a top-up plan or paid time off options.
- The ability to save for your retirement coupled with a company match.
About BenchSci
BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced biomedical artificial intelligence software platform.
Our Culture
Our culture fosters transparency, collaboration, and continuous learning. We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
Diversity, Equity and Inclusion
We’re committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey.
Accessibility Accommodations
Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
Additional Hiring Information
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
Senior Machine Learning Engineer, NLP in City of London employer: BenchSci
Contact Detail:
BenchSci Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer, NLP in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those at BenchSci. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or GitHub with projects related to NLP or machine learning, make sure to highlight them. Real-world examples of your work can set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled challenges in previous roles, especially around ML models and teamwork.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the BenchSci team.
We think you need these skills to ace Senior Machine Learning Engineer, NLP in City of London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Machine Learning Engineer role. Highlight your experience in NLP and machine learning, and show us how your skills align with our mission at BenchSci.
Showcase Your Projects: Include specific examples of projects you've worked on that demonstrate your expertise in TensorFlow, PyTorch, and NLP. We love seeing real-world applications of your skills, so don’t hold back!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at BenchSci
✨Know Your NLP Inside Out
Make sure you brush up on the latest trends and techniques in Natural Language Processing. Be ready to discuss your past projects, the challenges you faced, and how you overcame them. This will show your passion and expertise in the field.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency with tools like TensorFlow and PyTorch. You might be asked to solve a coding problem or explain your approach to building and deploying models. Practising common ML problems can give you an edge.
✨Understand BenchSci's Mission
Familiarise yourself with BenchSci’s mission and how their products impact scientific research. Being able to articulate how your skills align with their goals will make you stand out as a candidate who truly cares about the company’s vision.
✨Emphasise Collaboration and Communication
Since this role involves working closely with Product Managers and Scientists, be prepared to discuss your experience in cross-team collaboration. Share examples of how you've successfully communicated complex technical concepts to non-technical stakeholders.
