AI Scientist Intern developing and implementing models for healthcare solutions. Collaborating with AI teams to drive data - driven decision making.
About the role
- Graduate Machine Learning Researcher at Longshot Systems designing and improving predictive models for sports betting analytics with a focus on innovation and R&D.
Responsibilities
- At Longshot Systems we're building advanced platforms for sports betting analytics and trading.
- We're hiring Graduate Machine Learning Researchers for our quantitative modelling team. The primary goal of this team is to improve the predictive power of our models based on historical event data. The quality of our models is incredibly important to us and improvements on our models directly impact company success.
- You will design, test, and implement new machine learning models in Python, continually improving our existing state-of-the-art solutions. Longshot is a small, focused company and so the role suits someone who wants to be involved in all aspects of the R&D process, from high-level design through to production implementation and a keenness to learn from experienced industry experts.
- The ideal candidate will be highly creative and enjoy generating new, innovative ways to tackle problems and suggesting improvements to existing methodologies; you'll have a high level of autonomy to research whichever methods you felt would be best suited to the problem at hand. A strong mathematical understanding of the fundamentals of Machine Learning and core statistics is very important for this role. Knowledge of sports betting isn't required.
- We are a hybrid working company, working Thursdays in our London (Farringdon) office and remotely the rest of the week. Our typical working hours are 10 am to 6 pm UK time, Monday to Friday, but we support flexible working and trust our team to manage their own schedules to meet their goals.
- **Our interview process is as follows:**
- Intro call (30 mins) - your background + interests
- Technical interview (60 mins) - modelling discussion + scenario questions
- Full assessment day (9:30–5pm) - solving a real modelling problem using near-production-level data
Requirements
- PhD or research Masters in a quantitative, technical subject (e.g. Maths, Physics, Machine Learning) from a top university
- Experience modelling tabular data in Python
Benefits
- Participation in the uncapped company bonus scheme, typically 10-20% of salary depending on experience
- 10% matched pension contributions
- Private healthcare insurance
- Long term illness insurance
- Gym membership
- Choose your own hardware & setup for your development environment
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Advanced AI Scientist at HP responsible for architecture and leadership of AI ecosystems. Leading projects in data mining, modeling techniques, and automation systems to drive business innovation.
AI Research Scientist developing advanced technologies related to multimodal models at Mercari's R4D team. Collaborating on machine learning and computer vision projects that impact e - commerce platforms.
AI Research Intern at Toyota Research Institute exploring AI applications in enhancing wellbeing. Collaborate in developing innovative approaches within the Human - Centered AI Division.
Machine Learning Researcher at Astera Institute focusing on data - efficient and general model induction. Collaborating on innovative architectures with a focus on performance and throughput.
AI Research Intern focusing on advancing deep learning techniques in financial products at TD. Collaborating on large - scale datasets and representing the team at ML conferences.
AI Research Engineer designing downstream AI models operationalizing clinical endpoints in breast cancer care. Collaborating with clinical experts to enhance healthcare innovation in medical imaging.
Machine Learning Engineer designing, implementing, and deploying ML solutions for GEICO. Collaborating with cross - functional teams to integrate ML models and ensure business impact.
Intern AI Researcher at Analog Devices exploring AI models for efficient edge computing. Collaborating with experts to drive breakthroughs in model optimization and compression.
Senior AI Researcher at Dolby developing audio and video technologies with a focus on deep learning. Partnering with experts to innovate in multimedia analysis, processing, and rendering.