At a Glance
- Tasks: Build and deploy AI-driven solutions, transforming business processes with machine learning.
- Company: AI-first tech company revolutionising the insurance claims sector.
- Benefits: Competitive salary, equity package, and visa sponsorship for exceptional candidates.
- Other info: Collaborative environment with opportunities for career growth and influence.
- Why this job: Join a rapidly scaling company and make a real impact with cutting-edge AI technology.
- Qualifications: 2-7 years of applied Machine Learning experience and strong Python skills.
The predicted salary is between 80000 - 98000 £ per year.
Location: London, UK (On-Site/ Five Days per week)
Employment Type: Full-Time
Salary: £90,000+ Base with Competitive Equity
Visa Sponsorship Available (only for exceptional candidates)
Our client is an AI-first technology company operating within the insurance claims and risk management sector—one of the world's largest and most complex industries. Insurance claims processing traditionally involves significant manual review, documentation handling, decision-making, and customer communication, creating substantial opportunities for automation and efficiency improvements.
The company is leveraging Machine Learning, NLP, LLMs, and intelligent automation to transform how claims are assessed, processed, and resolved. By combining advanced AI systems with industry expertise, they help insurers deliver faster claim resolutions, improved customer experiences, and more accurate outcomes at scale. This presents a unique opportunity to work on high-impact AI applications in a domain rich with real-world data, complex decision-making workflows, and meaningful business challenges.
What You'll Be Doing
- Build and deploy AI-driven solutions in production environments
- Design machine learning models that improve decision-making, speed, and accuracy
- Transform business processes into scalable AI-powered workflows
- Work closely with stakeholders to identify automation opportunities
- Develop and optimize NLP and LLM-based solutions
- Contribute to technical architecture and engineering best practices
- Help shape the future of a rapidly scaling technology organization
What We're Looking For
Experience
- 2–7 years of applied Machine Learning experience
- Experience shipping ML products into production
- Proven ability to build and iterate quickly in startup or fast-paced environments
- Background in high-growth startups, AI companies, big tech, or hyperscalers is highly preferred
Technical Skills
- Strong foundation in Machine Learning and Data Science
- Experience with NLP, Deep Learning, and Generative AI
- Knowledge of LLM-powered applications and intelligent automation
- Strong Python skills for ML development and experimentation
- Familiarity with production AI systems and scalable deployments
Desired Profile
- Builder mentality with strong ownership and execution skills
- Comfortable working directly with customers and stakeholders
- Thrives in high-performance, collaborative environments
- Passionate about solving challenging real-world problems through AI
Tech Stack
- Python
- Machine Learning
- AI/ML
- NLP
- Deep Learning
- Agentic Frameworks
- LLM Applications & Automation Workflows
Why Join?
- Work directly with experienced founders and industry leaders
- Build impactful AI products used in real-world business operations
- Competitive salary and equity package
- Opportunity to influence technology, product, and company growth
- Visa sponsorship support available for international candidates
- Be part of a company scaling rapidly with ambitious global growth plans
Location Requirement
This is a full-time on-site role in London, requiring attendance in the office five days per week.
Machine Learning Engineer (AI • LLMs • NLP • Applied ML) in City of London employer: Carnaby Fox
Join a pioneering AI-first technology company in London, where you'll have the opportunity to work on transformative machine learning solutions within the insurance claims and risk management sector. With a strong focus on employee growth, competitive salaries, and equity packages, our collaborative work culture encourages innovation and direct engagement with industry leaders, making it an ideal environment for those passionate about solving real-world challenges through AI.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer (AI • LLMs • NLP • Applied ML) in City of London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Machine Learning Engineer (AI • LLMs • NLP • Applied ML) in City of London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Carnaby Fox, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Carnaby Fox. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Carnaby Fox
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Carnaby Fox!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
