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For Companies At a Glance
- Tasks: Design and develop machine learning models to enhance user experience and platform interactions.
- Company: Fast-growing software development organisation in the crypto and social technology space.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a team pushing the limits of technology and make a real-world impact with AI.
- Qualifications: Experience in machine learning, Python proficiency, and a passion for emerging technologies.
- Other info: Collaborative culture with opportunities to tackle complex challenges in a high-performance setting.
The predicted salary is between 36000 - 60000 £ per year.
Who We Are
Our client is a fast-growing software development organization made up of high-performing builders pushing the limits of what's possible. Our team contributes to large-scale, globally used products in the crypto and social technology space. We move quickly, operate with high ownership, and build for the future.
What You'll Do
As a Machine Learning Scientist, you will play a key role in applying AI and machine learning techniques to shape the next generation of our platforms. You'll collaborate with top-tier engineers and product teams to develop advanced models powering personalization, recommendations, search, and real-time decision-making.
Your responsibilities include:
- Designing and developing machine learning models that improve user experience, enhance predictive performance, and enable smarter platform interactions
- Helping build scalable data pipelines and leveraging large datasets to generate insights that influence product strategy
- Assisting in developing and optimizing ML infrastructure to ensure scalability, efficiency, and readiness for production deployment
- Working closely with product and engineering teams to integrate ML models into the platform with seamless, real-time performance
- Monitoring, optimizing, and iterating on deployed models to ensure robustness in dynamic, real-world environments
- Collaborating with engineering and data science teams to solve complex technical challenges, including large-scale, decentralized data processing
- Staying up to date with the latest research and industry advancements to introduce new ideas, techniques, and approaches
Who You Are
- An experienced Machine Learning Scientist with strong foundations in algorithms, data structures, or statistical modelling
- Proficient in Python, with hands-on experience deploying models into production environments
- Comfortable maintaining ML infrastructure, including deployment pipelines, monitoring tools, and systems designed for scaling data and models (preferred)
- Experienced in fast-paced, high-performance environments, ideally within high-growth start-ups or scaling tech companies
- Passionate about leveraging machine learning to create real-world impact, with interest in emerging technologies such as blockchain, crypto, and SocialFi
- A problem-solver who enjoys tackling complex challenges and experimenting with new technologies, especially those shaping decentralized applications
- Highly collaborative, able to communicate technical concepts clearly to both technical and non-technical audiences
- High-agency, ownership-driven, and capable of independently leading projects end-to-end
Machine Learning Scientist in London employer: TechChain Talent
Contact Detail:
TechChain Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself. This is your chance to shine and demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key, so get comfortable talking about your experience!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the role you're after.
We think you need these skills to ace Machine Learning Scientist in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with machine learning models and Python in your application. We want to see how you've tackled complex challenges and what impact your work has had in previous roles.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific skills and experiences that align with the Machine Learning Scientist role. We love seeing candidates who take this extra step.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that communicate your ideas effectively, especially when discussing technical concepts.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at TechChain Talent
✨Know Your Algorithms
Brush up on your understanding of machine learning algorithms and statistical modelling. Be ready to discuss how you've applied these concepts in real-world scenarios, especially in high-performance environments.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python, particularly in deploying models into production. Have examples ready that highlight your experience with ML infrastructure and deployment pipelines.
✨Collaborate and Communicate
Since collaboration is key, think of examples where you've worked closely with engineers or product teams. Be prepared to explain complex technical concepts in a way that's easy for non-technical folks to understand.
✨Stay Current with Trends
Familiarise yourself with the latest advancements in AI, blockchain, and SocialFi. Bring insights from recent research or industry trends to the table, showing your passion for leveraging machine learning to create real-world impact.
