At a Glance
- Tasks: Develop and deploy advanced NLP and GenAI solutions to transform customer feedback into insights.
- Company: High-growth AI SaaS business focused on innovative NLP and LLM-powered products.
- Benefits: Remote work, competitive salary, and opportunities for professional growth in a dynamic environment.
- Other info: Collaborative culture with significant investment in AI and career advancement opportunities.
- Why this job: Join a cutting-edge team and make a real impact on customer experience and business outcomes.
- Qualifications: Strong experience in Machine Learning, NLP, and fine-tuning language models.
The predicted salary is between 72000 - 88000 £ per year.
Senior Machine Learning Scientist - REMOTE This is an opportunity to join a high-growth AI Saa S business using NLP and Gen AI to transform unstructured customer feedback into actionable business insights.
You'll work at the intersection of Machine Learning research and production, developing models that directly influence customer experience and commercial outcomes.
The Company They are an AI-focused technology company helping organisations unlock value from large-scale customer feedback data.
With strong growth, expanding enterprise clients, and significant investment in AI, they are building innovative NLP and LLM-powered products that drive measurable business impact.
The Role You will develop and deploy advanced NLP and Gen AI solutions across the full ML lifecycle.
Key responsibilities
- Build and improve models for information extraction, retrieval, re-ranking, and sentiment analysis.
- Fine-tune language models and optimise LLM performance.
- Design and evaluate experiments to improve product outcomes.
- Develop production-ready machine learning solutions.
- Work with agentic AI systems and modern NLP architectures.
- Collaborate closely with Product, Engineering, and senior stakeholders.
- Your Skills & Experience
- Strong commercial experience in Machine Learning and NLP.
- Hands-on experience fine-tuning language models and working with LLMs.
- Knowledge of Gen AI and agentic AI patterns.
- Experience working with large, complex datasets.
- Understanding of model deployment and productionisation.
- Strong communication and stakeholder management skills.
- A practical approach to solving real-world business problems.
Senior Machine Learning Engineer in London employer: Harnham - Data & Analytics Recruitment Careers
As a leading consumer retail organisation based in London, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and the opportunity to lead transformative digital initiatives, all while enjoying a competitive salary and bonus structure. Join us to be part of a forward-thinking team that values your contributions and empowers you to drive meaningful change in a rapidly evolving market.
Contact Details:
Harnham - Data & Analytics Recruitment Careers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer in London
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We think you need these skills to ace Senior Machine Learning Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Harnham - Data & Analytics Recruitment Careers.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Harnham - Data & Analytics Recruitment Careers and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
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How to prepare for a job interview at Harnham - Data & Analytics Recruitment Careers
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Harnham - Data & Analytics Recruitment Careers uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
