At a Glance
- Tasks: Lead the development of a cutting-edge multilingual conversational AI platform.
- Company: Join a pioneering tech startup with a focus on innovation and creativity.
- Benefits: Competitive salary, stock options, hybrid working, and generous remote work policy.
- Other info: Dynamic team environment with opportunities for professional growth and exciting challenges.
- Why this job: Be at the forefront of AI technology and make a real impact in a growing field.
- Qualifications: Masters or PhD in a technical field and extensive experience in machine learning.
The predicted salary is between 60000 - 100000 £ per year.
About the Role
As the Machine Learning Lead and one of our first employees, you’ll be key to helping us create the world's leading multilingual conversational AI platform. By joining us early in our journey, we hope you’ll be limitless, truly creative and innovative when working with our team to decide how we build the platform. Your primary responsibility will be to keep our ML framework state-of-the-art, by adapting the latest deep learning / natural language processing technologies from the academic and open-source community.
Qualities/Attitude
- Understanding that ‘perfect is the enemy of good’.
- Equally a thinker and doer.
- Excited about being part of a rapid growth journey and accepting innate uncertainty and constant change.
- Good organisational skills (including time and task management, and working efficiently as part of a team).
- Works in a straight-forward, collaborative and inclusive way and is non-political.
Responsibilities
- Build and expand on existing NLP algorithms.
- Transform data science prototypes and apply appropriate ML algorithms and tools.
- Design machine learning systems.
- Develop robust ETL pipelines and automated processes for ingesting and processing data.
- Manage available resources such as hardware, data, and personnel so that deadlines are met.
- Maintain, debug and improve our ML infrastructure.
- Increase automation, simplify and improve the ML pipelines.
- Work closely with the technical CEO to plan, implement, release and maintain new features and functionality in our technology platform.
- Debug reported issues with the production system (customer or internal), and work on solutions in a timely manner.
Qualifications / Skills
- Masters degree or (ideally) PhD in a technical discipline (e.g., computer science, physics, maths) or 3+ years of similar research experience.
- 3+ years in the search/AI-related field.
- 5+ years of Python experience.
- 2+ years of experience in deep learning frameworks (e.g., Tensorflow, Pytorch, MXNet, PaddlePaddle).
- Able to implement the latest DL model using existing APIs and open-source libraries in a short time.
- Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture.
- Familiarity with the agile software development process, CI/CD workflow, ticket management, code review, version control, etc.
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like sci-kit-learn), Linux and Cloud (AWS).
- Good understanding of the mainstream deep learning models from multiple domains: computer vision, NLP, reinforcement learning, model optimization, etc.
Nice to Have
- Relevant publications in high-impact journals.
- Contributed to open-source projects.
- Experience with Multilingual Language Models.
- Kubernetes.
- Knowledge of data pipelining (e.g., via Airflow) and prior experience with cloud-based ML model deployment.
- Jina.ai, Haystack and any relevant Semantic Search technologies.
Benefits
- Stock options between 0.5% and 3%.
- Salary between £60k and £100k.
- Visa sponsorship if necessary.
- Hybrid working (a mix of in-office and work-from-home).
- Generous remote work (3 months per year).
- Beautiful office space in Canary Wharf, London.
- Team retreats.
- Flex holiday (can exchange bank holidays for more convenient days).
- Modern equipment, MacBook Pro / PC.
- Bi-Annual Salary Reviews.
Head of Machine Learning employer: newmode.ai
As a pioneering force in the development of a multilingual conversational AI platform, we offer an exceptional work environment that fosters creativity and innovation. Our team thrives on collaboration and inclusivity, providing ample opportunities for professional growth while embracing the dynamic nature of our industry. Located in the vibrant Canary Wharf, London, we provide a beautiful office space, hybrid working options, and generous benefits including stock options and flexible holidays, making us an attractive employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Machine Learning
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to NLP and machine learning. We want to see your creativity and innovation in action, so don’t hold back!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common ML scenarios and algorithms, as well as being ready to discuss your past experiences and how they relate to our mission.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our journey to create a leading multilingual conversational AI platform.
We think you need these skills to ace Head of Machine Learning
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for machine learning and AI shine through. We want to see that you're not just qualified, but genuinely excited about the work we do and the impact it can have!
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to highlight your relevant experience in NLP and deep learning. We love seeing how your unique skills align with our mission, so don’t hold back on showcasing your achievements!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the role. Remember, less is often more!
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 shows you’re keen to join our team!
How to prepare for a job interview at newmode.ai
✨Know Your Stuff
Make sure you brush up on the latest trends in machine learning and natural language processing. Be ready to discuss specific algorithms and frameworks you've worked with, especially those mentioned in the job description like TensorFlow and PyTorch.
✨Show Your Creative Side
This role is all about innovation, so come prepared with ideas on how to improve existing ML frameworks or processes. Think of examples from your past work where you’ve implemented creative solutions to complex problems.
✨Be a Team Player
Since collaboration is key, be ready to share experiences where you’ve successfully worked within a team. Highlight your organisational skills and how you manage tasks efficiently while keeping communication open.
✨Embrace Uncertainty
The company values adaptability, so be prepared to discuss how you handle change and uncertainty in fast-paced environments. Share examples of how you've navigated challenges and adapted your strategies accordingly.
