Deep Learning Engineer

London, England, United Kingdom

Chattermill

Chattermill unifies and automatically analyses your customer feedback data to give you the insights you need to understand the voice of your customers.

View company page

Apply now Apply later

Deep Learning Engineer (NLP)

🌍 London, hybrid or UK, remote

💰 Negotiable, dependent on experience

 

At Chattermill, we use cutting-edge AI technology to give leading companies the key to improving their customer experience. We work with many of the world's most exciting companies (Uber, HelloFresh, Transferwise, and Amazon, to name a handful!). We are passionate about helping them put their customers at the heart of their decision-making.

Chattermill was voted 16th in the UK's fastest-growing tech companies by Deloitte and 77th in the fastest-growing companies in Europe in the FT1000. We have ambitious plans to keep growing and developing our product to reach more customers, and we want to hire the best talent available across all departments. 

One of our core company values is that The Right Team is Key, and we hope that the right person shares that belief and wants to share in the next stages towards building a category-defining company in the Customer Experience Analytics space.

 

Our Perks

❤️ Monthly Health & Wellness budget, increasing with length of service

📚 Annual Learning and Development budget

🤸🏽‍♂️ Flexible working in a choice-first environment - we trust the way you want to work

🏢 WFH Equipment (let us know what you need, and we’ll get it for you!)

🌴 25 Holiday Days + your local bank holidays, plus an extra day for every year of service

🎂 Your birthday off

🤒 Paid sick leave

🍼 Enhanced Family Leave - (UK Only)

⚕️ Optional healthcare plan

📈 The ability to share in the company’s success through options

🍿 Perks including discounts on cinema tickets, utilities and more

🎉 Annual Chattermill summits plus regular socials throughout the year

🌆 If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace

 

🧪 Data Science at Chattermill:

Our mission is to help companies operationalise their customer experience (CX) data through AI. Since our company’s founding, we have been relentlessly leveraging the best Natural Language Processing (NLP) technologies for analysing customer feedback data. In recent years, we have been utilising state-of-the-art transformer architectures (e.g. RoBERTa and T5). We also actively research and develop Generative Artificial Intelligence (GAI) approaches, including GPT-4, Claude 2, and Mixtral 8x7B models, as well as Retrieval Augmented Generation (RAG) frameworks. We have big plans to change the CX landscape and revolutionise how insights are gleaned from terabytes of customer feedback data our clients collect.

We are looking for a talented and innovative Deep Learning Engineer to bring our Natural Language Processing and Machine Learning R&D to the next level and empower us end-to-end from research to production. We aim to deliver industry-leading Customer Feedback Analytics using cutting-edge Natural Language Processing and other ML techniques, demonstrating our analytics as a core value proposition and advantage.

 

👉 What you'll be doing as Deep Learning Engineer:

  • Work as part of our fantastic Data Science team to ensure our clients get the most out of the Chattermill platform
  • Develop advanced applied NLP products (e.g. fine-tuning LLMs, RAG, intent recognition, ranking, translation, summarisation, phrase extraction, and sentiment analysis) for extracting commercially beneficial and impactful insights from customer reviews, open-end surveys, chat and voice data
  • Design and productise data science approaches and best practices for scalably extracting valuable customer insights
  • Develop strong relationships with ML Engineering, ML Operations, Engineering and Product teams
  • Contribute to compelling research projects
  • Develop and deploy NLP/ML models into production environments that directly impact our products and customer experiences
  • Discuss and experiment with cutting-edge research (or include it in our production systems)
  • Stay abreast of the latest developments in NLP and deep learning, bringing innovative solutions and technologies to the team
  • Collaborate with cross-functional teams to align AI initiatives with business goals and deliver end-to-end solutions
  • Ensure the scalability, efficiency, and performance of NLP models in production
  • Participate in code reviews, ensuring high-quality code and adherence to best practices

🧰 What you’ll need:

  • 1+ years of work experience in Data Science with experience in deep learning and natural language processing, especially Large Language Models
  • Experience with deep learning frameworks (e.g. PyTorch, TensorFlow, Keras etc.)
  • An understanding of and passion for deep learning, as well as for the value of actionable customer insights
  • MSc/MEng degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Computational Linguistics or related fields
  • A strong understanding of statistical analysis and predictive modelling
  • Strong problem-solving skills: Ability to tackle complex data challenges and provide innovative solutions that are scalable and efficient
  • Strong software engineering skills for prototyping and production solutions
  • Excellent command of at least one programming language (preferably Python)
  • Great communication, writing and presentation skills

 

✨Who we are 

Co-founded by Mikhail Dubov and Dmitry Isupov in 2015 while at Entrepreneur First, Chattermill was born out of their frustration that it took weeks, sometimes months, for customer research to yield any quality insights. Often, these would be out of date by the time they reached decision-makers. And it was also financially out of reach for most companies.

When they started what eventually became Chattermill, they had a hunch that they could use the newly available tech of deep learning to help companies find insights amidst messy data. Their vision was to take what agencies and cutting-edge brands were doing by hand and automate it.

Today, our Unified Customer Intelligence platform is used by the world’s best-loved customer-centric companies, including Uber, HelloFresh, Wise, and more, all of whom can now see and act on their customer reality.

Our Mission & Vision

  • Our mission is to empower teams to see their customer reality 
  • Our vision is to analyse over a billion pieces of customer feedback by 2027

 

🔎 Our Hiring Process

  1. Let’s introduce ourselves – you’ll have an introductory call with one of our team - we’d love to learn more about you, your ambitions, and what you’re looking for in your next step
  2. Get to know your potential team. You’ll have a call with your potential manager, Aji, to learn more about the role and showcase your experience
  3. Show us what you are made of – you’ll complete a technical task, which you’ll then run through on a call with the team
  4. Panel Interview – you'll meet with members of our data science and engineering teams for a more in-depth technical review 
  5. How our values and your career goals align – you’ll have a call with our cofounder to learn more about life at Chattermill and ensure we’re the right place for your next stage of growth

 

💖 Our Values 

  • We are obsessed with experience – We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach.
  • We believe in the power of trust – Whether it's with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust.
  • We act as responsible owners – Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us.
  • We share a passion for growth & progress – On every level, we’re motivated by taking on new challenges – even if they seem out of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively.
  • We set our ambitions high but stay humble – We've come together to build a product and a category that’s never been seen before. While we're an ambitious bunch with lofty goals, we don't approach this goal recklessly.
  • We believe the right team is the key to success – At Chattermill we’ve learned that all our important achievements have been the result of the right people collaborating together – that’s why we need you to apply today!

 

🌈 Diversity & Inclusion 

We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team.  We want to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don’t meet 100% of the listed requirements – we believe in potential and will happily consider all applications based on the skills and experience you have, we’d love to be part of your growth and we encourage you to apply!

 

#datascience #deeplearning #NLP #MLmodels #PyTorch #TensorFlow #keras #AI #artificalintelligence #computationallinguistics #predictvemodelling #data #datachallenges #solutions #python #ml 

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  8  4  0

Tags: Architecture Claude Claude 2 Computer Science CX Deep Learning Engineering GPT GPT-4 Keras Linguistics LLMs Machine Learning ML models NLP Prototyping Python PyTorch R RAG R&D Research Statistics TensorFlow

Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Gear Pet friendly Startup environment Team events Wellness

Region: Europe
Country: United Kingdom

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.