At a Glance
- Tasks: Design and deploy AI/ML solutions for real-time sports and entertainment data.
- Company: Join a globally recognised leader in sports and entertainment technology.
- Benefits: Competitive salary, bonus, hybrid work, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make an impact in the exciting world of sports tech with cutting-edge AI.
- Qualifications: 5-10 years in data science/AI/ML, strong Python and SQL skills required.
The predicted salary is between 63000 - 77000 £ per year.
Location: South East London / Kent (hybrid - 3 days on-site)
Type: Permanent
Salary: Up to £88,000 + bonus
Sector: Global sports & entertainment / live event technology
A world-leading, globally recognised sports & entertainment organisation is hiring an AI/ML / Data Science Engineer to join its Innovation & Technology function. This role will design, build, and deploy intelligent data products and AI/ML solutions that support real‑time operations, media/broadcast experiences, and digital fan engagement.
What you'll be doing
- AI & Machine Learning
- Build and deploy ML models across:
- Predictive analytics (performance trends, forecasting)
- Computer vision (video analysis, media enhancement)
- NLP (fan insights, content intelligence, knowledge systems)
- Anomaly detection (telemetry/operations monitoring)
- Build scalable inference pipelines (real‑time + batch)
- Implement monitoring, drift detection, and retraining workflows
- Prototype quickly to prove value, then scale into production
- Shape problem definitions with stakeholders in ambiguous environments
- Bring best practices from adjacent industries into a high‑performance setting
- Data Engineering & Architecture
- Design/maintain pipelines integrating telemetry/timing, video/image, event operations, and digital/commercial engagement data
- Develop APIs/services to expose analytics internally
- Ensure high availability and low latency where required
- Cross‑functional delivery
- Partner with Broadcast/Media, Operations, Commercial/Marketing, Cybersecurity/IT
- Communicate clearly to technical and exec audiences; become a trusted AI/data partner
- Governance, compliance & security
- Responsible AI practices, privacy/governance support, and secure‑by‑design delivery with cyber teams
What we're looking for
- Essentials
- 5-10 years' experience in data science / AI / ML engineering
- Strong Python
- Production ML deployment experience (end‑to‑end)
- Strong SQL + modern data warehouse experience
- Cloud familiarity + containerisation/orchestration
- Streaming data knowledge
- Solid stats/probability + evaluation + feature engineering
- Strong stakeholder communication + documentation; comfortable in event‑driven environments
- Desirable
- Real‑time data environments
- CV/video analytics
- Edge/low‑latency
- Telemetry/IoT
- Sensor fusion
- Cybersecurity exposure
AI/ML Data Science Engineer in City of Westminster employer: FBI &TMT
FBI & TMT is an exceptional employer that fosters a dynamic and innovative work culture, perfect for professionals seeking to make a significant impact in the tech industry. With opportunities for growth and collaboration on cutting-edge projects, employees benefit from a flexible remote working environment complemented by occasional engagement at our London office. We prioritise employee development and offer competitive compensation, making this role not just a job, but a meaningful career path.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Data Science Engineer in City of Westminster
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like FBI &TMT.
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We think you need these skills to ace AI/ML Data Science Engineer in City of Westminster
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at FBI &TMT, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at FBI &TMT. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at FBI &TMT
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at FBI &TMT!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
