Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Enhance ML models and collaborate with scientists to revolutionise research.
- Company: BenchSci, a leader in biomedical AI software.
- Benefits: Competitive salary, equity options, flexible vacation, and health benefits.
- Why this job: Join a mission-driven team transforming life-saving research with cutting-edge technology.
- Qualifications: 5+ years in software development, strong NLP experience, and teamwork skills.
- Other info: Inclusive culture promoting growth, diversity, and continuous learning.
The predicted salary is between 48000 - 72000 Ā£ per year.
We are looking for a Senior Machine Learning Engineer to join our growing engineering team. You are 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 crossāteam 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 oneātime home office setāup budget to use upon joining BenchSci.
- An annual lifestyle spending account allowance.
- Generous parental leave benefits with a topāup 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 lifeāsaving 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 selfāleaders 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 London employer: BenchSci
Contact Detail:
BenchSci Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Senior Machine Learning Engineer, NLP in London
āØTip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
āØTip Number 2
Show off your skills! Create a portfolio showcasing your NLP projects and machine learning models. This is your chance to shine and demonstrate what you can bring to the table.
āØTip Number 3
Prepare for those interviews! Brush up on common ML and NLP questions, and be ready to discuss your past experiences. Practice makes perfect, so get a friend to do mock interviews with you.
āØTip Number 4
Apply through our website! Itās the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our team!
We think you need these skills to ace Senior Machine Learning Engineer, NLP in London
Some tips for your application š«”
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 NLP and ML. We love seeing real-world applications of your skills, so donāt hold back!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website: We encourage you to apply directly through our website. Itās the best way for us to receive your application and ensures youāre considered for the role. Plus, itās super easy!
How to prepare for a job interview at BenchSci
āØKnow 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 and how you've tackled specific challenges in NLP. This will show your passion and expertise in the field.
āØShowcase Your ML Experience
Prepare to talk about your experience with machine learning frameworks like TensorFlow and PyTorch. Have examples ready that demonstrate how you've built and deployed models, especially in production environments. This will highlight your hands-on skills and problem-solving abilities.
āØUnderstand 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 set you apart as a candidate who truly understands the companyās vision.
āØEmphasise Collaboration Skills
Since the role involves working closely with Product Managers and Scientists, be prepared to discuss your teamwork experiences. Share examples of how you've successfully collaborated across teams to achieve project goals, showcasing your communication and leadership skills.
