At a Glance
- Tasks: Build and deploy cutting-edge AI systems in real-world environments.
- Company: Dynamic tech company based in London with a focus on innovation.
- Benefits: Flexible work arrangement with competitive pay and growth opportunities.
- Other info: Engagement options available for various working preferences.
- Why this job: Join a fast-paced team and make an impact with your AI expertise.
- Qualifications: Hands-on experience with Agentic AI and production-grade Python development.
The predicted salary is between 60000 - 80000 £ per year.
CONTRACT OPPORTUNITY – DATA SCIENTIST / MACHINE LEARNING SCIENTIST
Location: Blackfriars, London (3 days onsite / 2 days remote)
We’re looking for experienced Data Scientists / ML Scientists with strong hands-on experience building and deploying Agentic AI systems in production environments. This is not a research-only role — we need candidates who have shipped real-world AI solutions at scale.
Key Experience Required:
- Strong commercial experience with Agentic AI
- Building and deploying LLM-powered systems into production
- AI agents, orchestration, multi-step reasoning, and tool usage
- LangChain / LangGraph or similar frameworks
- RAG pipelines and retrieval systems
- MCP-style architectures / FastAPI / orchestration patterns
- Production-grade Python development
- Cloud deployment experience (AWS / Azure / GCP)
Ideal Background:
- Experience working on SaaS or B2B AI products
- Strong product mindset with ownership mentality
- Comfortable working in fast-paced, scaling environments
- Ability to clearly explain deployed Agentic AI solutions in detail
Engagement options:
- Candidates can operate via LTD company, Umbrella, or PAYE
If interested, please send below to:
- Updated CV
- Availability
- Confirmation of your Agentic AI project experience
- IR35 preference
Remote Machine Learning Engineer in London employer: Russell Tobin
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact the development of cutting-edge AI solutions. With a flexible hybrid working model based in the vibrant area of Blackfriars, London, you will have access to continuous professional development opportunities and a supportive environment that encourages growth and creativity. Embrace the chance to work alongside industry experts while enjoying the unique advantages of city life, making this an exceptional place for talented Machine Learning Engineers to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and data science community. Attend meetups, webinars, or even local events in London. 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 projects, especially those involving Agentic AI and LLM-powered systems. Share it on platforms like GitHub or your personal website, and don’t forget to link it in your applications!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with cloud deployments and production-grade Python development. Practise explaining your past projects clearly and confidently, as communication is key!
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly helps us get to know you better and increases your chances of landing that dream role.
We think you need these skills to ace Remote Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Agentic AI and any relevant projects you've worked on. We want to see how your skills match up with what we're looking for, so don’t be shy about showcasing your achievements!
Showcase Your Projects:When you mention your project experience, be specific! Describe the LLM-powered systems you've built and deployed, and how they’ve made an impact. We love seeing real-world applications of your work, so give us the details!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, especially when it comes to explaining your experience with AI agents and orchestration patterns. Make it easy for us to see why you’re a great fit!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Russell Tobin
✨Know Your Agentic AI Inside Out
Make sure you can talk confidently about your experience with Agentic AI systems. Be ready to discuss specific projects where you've built and deployed these solutions, focusing on the challenges you faced and how you overcame them.
✨Showcase Your Production Experience
Prepare examples of real-world AI solutions you've shipped at scale. Highlight your hands-on experience with LLM-powered systems and any relevant frameworks like LangChain or LangGraph. This will demonstrate your practical skills and understanding of production environments.
✨Be Ready for Technical Questions
Expect in-depth technical questions about AI agents, orchestration, and multi-step reasoning. Brush up on your knowledge of RAG pipelines and cloud deployment (AWS, Azure, GCP) so you can answer confidently and show your expertise.
✨Communicate Clearly and Effectively
Practice explaining complex concepts in simple terms. You might need to describe your deployed Agentic AI solutions to non-technical stakeholders, so being able to communicate clearly is key. Think about how you can convey your ownership mentality and product mindset during the interview.
