At a Glance
- Tasks: Design and develop AI algorithms for sports performance analysis and real-time insights.
- Company: Award-winning tech company revolutionising sports talent identification.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Dynamic start-up environment with high autonomy and career advancement.
- Why this job: Join a fast-paced team and shape the future of sports technology.
- Qualifications: Experience in algorithm development and deploying ML models in production.
Hybrid Working – 3 days per week in London
About
We have partnered with a ground-breaking, award-winning technology company building the future of sports talent identification and development. Our partner builds AI-driven tools that generate and analyse sports data, helping clubs, national federations and players unlock real-time analysis and valuable insights. Their technology is already in production and used at the very top of the game, including at global sporting events, and they are now looking for a talented AI Engineer to join a small, fast-moving team and help build the technology of tomorrow.
The Role
- Design, develop, test & deploy production-ready algorithms for sports performance analysis.
- Collaborate closely with sport scientists to translate motion and biomechanics into actionable AI/ML models.
- Ensure high accuracy, robustness, and real-time performance of deployed models.
- Build and optimise inference pipelines that support large-scale video processing across edge and cloud platforms.
- Own model deployment infrastructure using AWS services (ECR, Lambda, S3 or equivalent) and infrastructure-as-code tooling
- Set up and maintain CI/CD pipelines for ML model delivery, ensuring reliable, repeatable deployments
- Monitor deployed models for performance degradation, data drift, and system health; implement automated alerting and retraining triggers.
What You'll Need
- Proven experience in algorithm development, including image and video processing in production.
- Experience in developing and deploying ML models in real-world, high-stakes production environments
- Strong algorithm design skills, comfortable working with time-series data, optimisation problems and performance evaluation techniques
- Strong Python skills with data processing and analysis libraries (e.g. Pandas, OpenCV).
- Hands-on experience with deep learning frameworks (e.g. PyTorch, TensorFlow).
- Strong grasp of software engineering fundamentals: version control, testing, code review, and documentation
- Solid DevOps experience, CI/CD, containerisation (e.g. Docker) and cloud-based model deployment (MLOps).
- MSc or PhD in a related field.
- Experience working in a start-up or fast-paced, high-autonomy environment.
Nice to Have
- Experience with on-device inference (e.g. mobile)
- Understanding of 3D human pose estimation, biomechanics, or sports performance data
AI Engineer - MLOps employer: Animo Group
As an innovative consultancy, we pride ourselves on fostering a collaborative and dynamic work culture that empowers our employees to thrive. Located in a vibrant area, we offer competitive benefits, continuous professional development opportunities, and the chance to work on impactful projects with leading clients. Join us to be part of a team that values creativity, mentorship, and the advancement of data capabilities in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - MLOps
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Animo Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Engineer - MLOps at Animo Group.
✨Leverage Professional Networks
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 Animo Group.
✨Apply Directly through Our Website
When you find a suitable opening like AI Engineer - MLOps at Animo Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Engineer - MLOps
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 Animo Group, 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 Animo Group. 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 Animo Group
✨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 Animo Group!
✨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.
