AI Engineer, Cognassist
+ EMI company share scheme
Neurodiversity support
Job no longer available
Neurodiversity support
21-100 employees
Job no longer available
+ EMI company share scheme
21-100 employees
Company mission
To make sure no learner is left behind.
Role
Who you are
- Extensive experience in developing and deploying AI/ML models, with specific expertise in Large Language Models (LLMs like Llama, OpenAI, Mistral, Deepseek), NLP, and machine learning algorithms
- Knowledge of AI tools and frameworks, such as PyTorch, Autogen, Langchain, Azure AI Foundry, Hugging Face Transformers and experience with AI integration in SaaS
- Proficiency in Python for AI/ML; experience with RAGs, experience with graph databases, graph embeddings, neural networks, and MLOps
- Data Manipulation: Strong knowledge of libraries like NumPy, Pandas, and Matplotlib for handling and visualizing data
- Adequate knowledge of database systems (both Vector databases, SQL and Graphs databases)
- Strategic thinking in systems capacity planning, hardware and software updates, and migration
- Solid understanding of API design and development, including RESTful services
- Hands-on experience with DevOps tools, including CI/CD pipelines, infrastructure automation, and monitoring solutions (e.g., GitLab CI, or Azure DevOps)
- Excellent communication skills
- Ability and willingness to learn about and use new technologies
- AI/ML Expertise: Strong experience with AI/ML technologies, particularly in deploying Large Language Models (LLMs) and natural language processing (NLP) applications
- Able to work independently whilst able to seek guidance from team leads where necessary
- Desire and ability to automate
- Bachelor’s in Computer science / adjacent field
- Minimum 5 years in high-level architecture design and solution development for large-scale AI/ML systems
- Proven track record in industry use cases utilizing deep and machine learning techniques
- Any other certifications would be beneficial
What the job involves
- Cognassist is seeking a proactive and highly skilled AI Engineer to work as part of a cross-functional team, tackling complex and interesting problems to deliver high-quality solutions
- You will be involved from idea inception through to delivery and feature launch
- While your primary focus will be on developing and maintaining AI services using Python, you will also have opportunities to contribute to data pipelines and Knowledge Graphs
- Preprocess data: Ensure the quality and accuracy of data used to train AI models
- Develop and deploy AI models, with a strong focus on Large Language Models (LLMs) and natural language processing (NLP) applications
- Explore and integrate cutting-edge AI and machine learning technologies into the business by deploying models into production
- Develop and integrate REST APIs, microservices, and serverless architectures within the SaaS ecosystem
- Collaborate in technical decision-making, influencing architectural improvements and implementing modern best practices for software development
- Adhere to continuous integration and continuous deployment (CI/CD) practices, ensuring automated testing and delivery pipelines
- Monitor and troubleshoot production issues, taking ownership of issues until resolution
- Collaborate with DevOps teams to maintain and improve cloud infrastructure and ensure efficient resource usage
- Stay updated on industry trends and emerging technologies, applying them to current and future projects as relevant
Our take
1 in 7 people in the UK are neurodiverse, and yet our educational institutions and (particularly) our workplaces are lagging when it comes to creating an environment which gets the best learning and work out of everyone. That’s where Cognassist comes in.
It’s 30 minute cognitive assessment is award-winning, and provides a personalised cognitive profile rather than a blanket definition. Using this, it provides training and expert led content to employers and educators.
It’s a young company, but is already partnered with over 150 UK Institutions, including high street chains like Holland & Barrett, as well as universities like London South Bank. It assessed over 160,000 individuals in its first few years and investment from Gresham House Ventures in 2023 will see it begin to penetrate the enterprise market as well as the educational.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Apr 2023
$5.2m
GROWTH EQUITY VC
Total funding: $5.2m
Company benefits
- EMI company share scheme, meaning you would own a percentage of shares, turning into significant monetary value in time
- Westfield Health Care plan
- Fully flexible working
- AIG Life insurance
- Excellent discounts/wider wallet
- 5% matched contribution pension scheme
- 25 days holiday + bank holidays (33 days)
- Paid wellbeing days, volunteer days, and study days
- Quarterly values awards
- Staff parties and events
- Modern homeworking tech kit
- Enhanced maternity & paternity pay
- Fully remote/homeworking
Leadership
Chris Quickfall
(CEO)Former CEO of Invate, e-Quality Learning and Learning Labs UK, as well as working as Treasurer of the British Assistive Technology Association.
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