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 exciting SaaS and B2B AI products.
- Why this job: Join a fast-paced team and make a tangible impact with AI technology.
- Qualifications: Experience with Agentic AI and strong Python development skills.
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 - Fully 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 real-world AI solutions. With flexible working arrangements in the vibrant area of Blackfriars, London, you will have access to continuous professional development opportunities and the chance to work alongside industry experts in a supportive environment. Embrace the unique advantage of a hybrid work model that promotes work-life balance while engaging in cutting-edge projects.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Fully Remote 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 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 demonstrate your hands-on experience. This will make you stand out when applying through our website.
✨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 deployment. Practise explaining complex concepts in simple terms, as this shows you can communicate effectively in a team.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in the interviewer's mind. Plus, it’s a great opportunity to reiterate your interest in the position.
We think you need these skills to ace Machine Learning Engineer - Fully 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 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 AI solutions you've deployed and the impact they had. We love seeing real-world applications, so let us know how you’ve made a difference in previous roles.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to understand your experience and how it relates to the role.
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’s super easy – just follow the prompts!
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 frameworks like LangChain or LangGraph. Bring examples of your production-grade Python development and cloud deployment experiences to the table.
✨Demonstrate Your Product Mindset
Highlight your ownership mentality and how it has influenced your work in fast-paced environments. Be prepared to explain how your contributions have directly impacted the success of SaaS or B2B AI products.
✨Practice Clear Communication
Since you'll need to explain complex AI solutions, practice articulating your thoughts clearly and concisely. Use simple language to describe your projects, ensuring that even non-technical interviewers can grasp your contributions.
