At a Glance
- Tasks: Build and deploy cutting-edge AI systems in real-world environments.
- Company: Dynamic tech company focused on innovative AI solutions.
- Benefits: Flexible remote work, competitive pay, and engaging projects.
- Other info: Opportunity to work on SaaS or B2B AI products with excellent growth potential.
- Why this job: Join a fast-paced team and make a tangible impact with AI technology.
- Qualifications: 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
Machine Learning Engineer (Remote) in London employer: Russell Tobin
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions as a Machine Learning Engineer will directly impact the development of cutting-edge AI solutions. With a flexible remote working arrangement and opportunities for professional growth in the vibrant tech hub of Blackfriars, London, you will thrive in an environment that encourages creativity and ownership while working alongside industry experts on real-world applications of Agentic AI.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and machine learning space. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Agentic AI systems. Use platforms like GitHub to share your code and document your thought process. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with LLM-powered systems and cloud deployments. Practise explaining complex concepts in simple terms – it shows you really understand your stuff!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates. So, get your CV ready and hit that apply button!
We think you need these skills to ace Machine Learning Engineer (Remote) 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 align with what we're looking for, so don’t be shy about showcasing your achievements!
Showcase Real-World Experience:Since we’re after candidates who have shipped real-world AI solutions, include specific examples of projects where you’ve built and deployed LLM-powered systems. This will help us understand your hands-on experience better.
Be Clear and Concise:When detailing your experience, especially with complex topics like orchestration patterns or cloud deployment, keep it straightforward. We appreciate clarity, so avoid jargon unless necessary!
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 don’t miss out on any important updates from our team!
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 Technical Skills
Prepare to dive deep into your technical expertise, especially around LLM-powered systems and cloud deployment. Brush up on frameworks like LangChain or LangGraph, and be ready to explain how you've used them in real-world applications.
✨Demonstrate Your Product Mindset
Employers love candidates who think like product owners. Be prepared to discuss how you've taken ownership of projects, contributed to SaaS or B2B AI products, and how your decisions impacted the end-user experience.
✨Practice Clear Communication
Since you'll need to explain complex AI solutions, practice articulating your thoughts clearly and concisely. Use examples from your past work to illustrate your points, ensuring you can convey technical details to non-technical stakeholders.
