AI Engineer Remote
Job description
About us
Yoello is a fast-growing fintech company that specialises in providing mobile payment solutions, connecting merchants and customers in the physical world and revolutionising the way payments are made.
Following a UK launch in 2020, Yoello has already expanded globally and continues to expand rapidly into new markets and product developments. Yoello is a multi-award winning UK startup with eager expectations for exponential growth in the future.
Yoello is one of the most exciting, multi-award winning startups in the UK and we’d love you to join our fast-growing team to help continue our journey.
What's in it for you:
As well as the opportunity to be part of one of the best startups in the UK you’ll get:
- A base salary up to £85K
- 25 days holiday increasing to 29 days with length of service + bank holidays.
- Additional day off for your birthday!
- Pension scheme (5% employer contribution)
- Life insurance 4 x annual salary
- Time off to develop and improve your skills
- High quality mentoring from our leadership team and advisory board
- Annual company events
- Health Cash Plan
To find out more about Yoello and working with us check out the following links:
https://www.yoello.com/about-us
https://www.yoello.com/careers
What You'll Do as an AI Engineer:
- Create disruptive products within FinTech ecosystem leveraging AI to provide innovative solutions across a number of verticals
- Work closely with the Software Engineering teams to integrate machine learning models into production systems
- Train and fine-tune Language Learning Models (LLMs) to meet application-specific requirements
- Act as an internal subject matter expert on AI technologies, particularly in areas like word embeddings, model fine-tuning strategies, and vector database management
- Lead internal workshops and training sessions to elevate the team's understanding and application of core AI technologies
- Leverage Open-Source Models and OpenAI APIs to build scalable AI solutions
- Innovate and develop new applications using generative AI and other machine learning techniques
- Assist in the evaluation and implementation of AI tools and frameworks
- Drive initiatives for performance tuning and optimization of existing machine learning models through advanced fine-tuning techniques, thus ensuring that they meet or exceed specified metrics and KPIs.
- Keep up-to-date with the latest advancements in AI and machine learning
- Work on multi-disciplinary projects and contribute to our culture of continuous improvement
Experience and Skills That We Are Looking For in You:
- Strong experience in Python and machine learning libraries such as TensorFlow, PyTorch, or similar
- Extensive understanding of machine learning algorithms and technologies including Neural Networks, NLP, and Computer Vision
- Proficient in generative AI technologies
- Familiarity with Open-Source Models and OpenAI APIs
- Experience with deploying machine learning models into production environments
- Excellent understanding of data structures, data modeling, and software architecture
- Strong programming skills and experience with API development
- Excellent communication skills, both written and verbal
- A Master's or Ph.D. in Computer Science, Data Science, AI, or a related field is desirable
Experience with the Following Would Be Beneficial:
- Familiarity with Kubernetes, Docker, and other containerization technologies
- Experience with AWS cloud computing platform
- Prior experience in working with large-scale data sets and big data technologies like Hadoop, Spark, etc.
- Previous work on Open-Source projects and contributions to the AI community
- Exposure to Reinforcement Learning algorithms and models
- Experience in working in a multi-disciplinary team and agile environments
- Experience in edge AI technologies
- Familiarity with mobile machine learning libraries and deployment
Job Types: Full-time, Permanent
Salary: Up to £85,000.00 per year
Benefits:
- Company pension
- Health & wellbeing programme
- Life insurance
Schedule:
- Day shift
- Monday to Friday
Application question(s):
- What is your current Salary?
Education:
- Master's (preferred)
Work authorisation:
- United Kingdom (required)
Work Location: Remote
Application deadline: 10/11/2023
