Head of Machine Learning in London

Head of Machine Learning in London

London Full-Time 60000 - 100000 £ / year (est.) Home office (partial)
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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, plus extensive experience in machine learning and Python.

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 in London employer: newmode.ai

Join us as the Head of Machine Learning and be part of a pioneering team dedicated to creating a leading multilingual conversational AI platform. With a vibrant work culture that embraces creativity and innovation, we offer exceptional benefits including stock options, hybrid working arrangements, and generous remote work opportunities. Located in the heart of Canary Wharf, London, our beautiful office space fosters collaboration and growth, making it an ideal environment for those looking to make a meaningful impact in the tech industry.

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Contact Details:

newmode.ai Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Head of Machine Learning in London

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to NLP and machine learning. This will give you an edge and demonstrate your hands-on experience to potential employers.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach problems!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of our journey to create a leading multilingual conversational AI platform.

We think you need these skills to ace Head of Machine Learning in London

Machine Learning
Natural Language Processing (NLP)
Deep Learning Frameworks
Python
ETL Pipelines
Data Science Prototyping
Agile Software Development

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 role and our mission to create a leading multilingual conversational AI platform.

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 skills align with our needs, so don’t hold back on showcasing your achievements and projects that relate to the job!

Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make it easy for us to understand your qualifications and experiences. 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 us you’re keen to be part of our journey from the get-go!

How to prepare for a job interview at newmode.ai

Know Your Stuff

Make sure you brush up on the latest deep learning and NLP technologies. Be ready to discuss how you've applied these in your previous roles, especially with frameworks like TensorFlow or PyTorch. Showing that you're up-to-date will impress them!

Show Your Creative Side

This role is all about innovation, so don’t be afraid to share your unique ideas. Think of a few creative solutions to common ML challenges and be prepared to discuss them. They want someone who can think outside the box!

Demonstrate Team Spirit

Since collaboration is key, be ready to talk about your experience working in teams. Share examples of how you've contributed to group projects and how you handle feedback. They’re looking for someone who can work well with others.

Embrace Change

This company values adaptability, so be prepared to discuss how you've navigated uncertainty in past roles. Share stories that highlight your ability to pivot and thrive in fast-paced environments. Show them you’re ready for the journey ahead!