Senior AI/ML Engineer

at  Snap Analytics

A BIT ABOUT US…

Snap Analytics is a high-growth data analytics consultancy with offices in the UK and India. We work with enterprise clients to simplify complex data and drive business value. We’re customer-centric in our approach and dedicated to helping organisations achieve their strategic goals through innovative cloud analytics solutions.
We pride ourselves on using our innovative Snap 360 delivery framework, combined with a strong culture of teamwork and knowledge-sharing to consistently deliver exceptional results and ensure 100% customer satisfaction.
Following our strong and continued growth within data analytics, we have begun our expansion into AI consultancy; an area of the business we are excited to continue building through the hire of a Senior AI/ML Engineer. Joining Snap at this critical stage of growth within our AI function offers a unique opportunity to make a significant impact. You’ll have the chance to shape our direction and play a key role in driving our success and strategy forward.

A BIT ABOUT THE ROLE…

As a Senior AI/ML Engineer at Snap, building on your wealth of experience, you’ll have the opportunity to explore a range of different tools and technologies within AI and Machine Learning; from Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), to Langchain and TensorFlow.
We’ll also look to you to help with client interaction, the support and mentorship of more junior members of the team, and to assist in building internal capabilities for use in pre-sales engagement with clients.

THIS ROLE IS FOR YOU IF YOU HAVE…

o Proven experience (5 years+) within AI/ML engineering.
o Proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers.
o A strong understanding of Natural Language Processing (NLP), particularly in the context of LLMs.
o Proven experience in building and optimising machine learning models, including XGBoost, Random Forest, SVM, and deep learning models.
o Experience with Langchain and the ability to build robust pipelines for deploying LLMs and RAG models and develop compelling UI with Streamlit.
o Expertise in GraphRAG for enhanced information retrieval and reasoning.
o Familiarity with data engineering practices, including ETL processes, and data pipeline orchestration tools (e.g. Apache Airflow).
o Knowledge of cloud platforms (AWS, GCP, Azure) for AI/ML model deployment and scaling.
o Knowledge of data platforms such as Snowflake, Databricks, etc.
o A Bachelor’s or Master’s Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
o Experience with DevOps/MLOps practices, including CI/CD pipelines, model monitoring, and version control (Git).
o An entrepreneurial spirit and thrive when operating in a fast-paced, start-up environment.
o Excellent verbal and written communication skills with the ability to translate business requirements into technical solutions.
o Strong problem-solving skills with the ability to translate business requirements into technical solutions.
o Experience in mentoring or leading junior team members and collaborating in a team-orientated environment.
o Exposure to data platforms like Snowflake and Databricks, etc.
o Experience with Dataiku.
o A PhD in a related field.
Here at Snap, our values drive us. So, aligning with them is incredibly important.
Our values are - be Smart, be Nice, be Accountable, be Passionate.
Be SNAP

So, what does being SNAP look like?

• Bringing positivity and enthusiasm to the workplace
• Being dynamic and proactive, always ready to tackle new challenges
• Having a strong attention to detail, ensuring excellence in everything you do
• Having a strong desire to learn and share knowledge

Research shows that some may hesitate to apply unless they meet every requirement. However, your unique experience, skills, and passion are what set you apart, so, we’d love to hear from you even if you don’t hit all the skills above.
If you’ve got this far and you’re feeling inspired, apply!
Our hiring process is as follows…
o Initial screening with a member of our Talent Acquisition Team.
o A take home technical assignment.
o Final stage presentation and panel interview with one of our Founders and our Head of AI.
If you need any adjustments made to our process, let us know so we can provide the right support and ensure you can perform at your best!