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For Companies At a Glance
- Tasks: Design and deploy cutting-edge NLP models while leading innovation in language understanding.
- Company: Join UnderwriteMe, a dynamic Insurtech company transforming the insurance landscape.
- Benefits: Enjoy 25 days annual leave, private health insurance, and generous parental leave.
- Why this job: Make a real impact with state-of-the-art technology in a supportive environment.
- Qualifications: 6+ years in machine learning with expertise in NLP and LLMs required.
- Other info: Collaborate with a global team of experts and enjoy extensive wellbeing initiatives.
The predicted salary is between 48000 - 72000 ÂŁ per year.
Location: London, England, United Kingdom
Contract: Fixed Term (duration unknown)
Pay: Unknown
Responsibilities
- Build & iterate fast: Design, experiment, and deploy state-of-the-art NLP and LLM models. Quickly test hypotheses, optimize, and iterate based on real-world feedback.
- Lead innovation: Push the envelope with cutting‑edge NLP techniques and models (transformers, GPT, BERT, etc.) to solve challenging problems in language understanding, generation, extraction, and more.
- Shape the product: Collaborate with engineers, product teams, and business leaders to align machine learning capabilities with product goals.
- Fail fast, learn fast: Drive rapid experimentation and maintain a learning‑oriented mindset to pivot quickly when necessary.
- Scale and optimize: Take models from prototypes to production, optimizing for performance, scalability, and efficiency.
Qualifications
- 6+ years in machine learning with deep expertise in NLP and LLMs/SLMs.
- Strong knowledge of large language models and experience with frameworks and libraries such as Hugging Face, OpenAI API, LangChain, DeepSpeed, LlamaIndex, LiteLLM, vLLM, etc.
- Experience in model deployment and optimisation for inference speed and scalability is a plus.
- Proven ability to design and optimize prompts for LLMs, including few‑shot, zero‑shot, chain‑of‑thought, and prompt tuning.
- Hands‑on experience with Retrieval‑Augmented Generation (RAG) to improve model performance in tasks such as question answering and document retrieval.
- Strong Python skills, experience with cloud ML platforms (AWS preferred), and ML frameworks (PyTorch, TensorFlow).
- Familiarity with Docker and Kubernetes for containerisation and deployment.
- Entrepreneurial attitude with a "Build Fast, Fail Fast" approach, thriving in agile, iterative environments.
About UnderwriteMe
UnderwriteMe is an Insurtech software business and subsidiary of Pacific Life Re (PL Re), a global life and pensions reinsurance firm. We aim to help everyone purchase protection insurance by using data and disruptive technology to transform underwriting processes into quicker and more efficient solutions.
Core Products
- Decision Platform – a B2B enterprise platform with a best‑in‑market underwriting rules engine used by over 30 insurers.
- Protection Platform – a B2B2C marketplace used by over 15,000 advisors to quote and purchase protection products in the UK, currently delivering 16% of the UK market protection policies.
Working for UnderwriteMe
Join a technology company with a fresh and dynamic approach to insurance, working alongside highly technical experts from software, fintech, and insurance backgrounds. The global team values unique qualities, supports individual ambitions, balances work‑life pressure, and offers extensive support and wellbeing initiatives.
Benefits (Permanent & Fixed Term)
- 25 days annual leave with option to buy/sell more days; adoption and fertility leave; generous enhanced parental leave.
- Private health insurance for employee and dependents; group life insurance 9x basic annual salary; income protection up to 75% of basic salary.
- Optical benefits.
- 15% combined employee/employer contributions to savings & retirement.
- Subsidised gym membership; employee assistance programme; cycle‑to‑work and electric car salary sacrifice; time off for volunteering; charitable matching of employee donations.
Accessibility and Diversity
We will, upon request, provide accommodation during the recruitment process to ensure equal access to applicants with disabilities.
Contact Freelance data hiring powered by an engaged, trusted community — not a CV database. 85 Great Portland Street, London, England, W1W 7LT
Senior Machine Learning Engineer employer: Data Freelance Hub
Contact Detail:
Data Freelance Hub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 NLP and LLMs. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach challenges!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at UnderwriteMe.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with NLP and LLMs. We want to see how your skills align with the responsibilities listed in the job description, so don’t hold back!
Showcase Your Projects: Include specific examples of projects where you've designed or optimised machine learning models. We love seeing hands-on experience, especially with frameworks like Hugging Face or OpenAI API, so let us know what you've built!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it's relevant to the role. Make it easy for us to see why you’re a great fit!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Don’t miss out on this opportunity!
How to prepare for a job interview at Data Freelance Hub
✨Know Your Models Inside Out
Make sure you’re well-versed in the latest NLP and LLM models like transformers, GPT, and BERT. Be ready to discuss your hands-on experience with these technologies and how you've applied them in real-world scenarios.
✨Showcase Your Experimentation Mindset
Prepare to talk about your approach to rapid experimentation and iteration. Share specific examples of how you've tested hypotheses, optimised models, and learned from failures to drive innovation.
✨Align with Product Goals
Understand UnderwriteMe's core products and how machine learning fits into their vision. Be ready to discuss how you can collaborate with engineers and product teams to shape ML capabilities that align with business objectives.
✨Demonstrate Your Technical Skills
Brush up on your Python skills and be prepared to discuss your experience with cloud ML platforms like AWS, as well as frameworks such as PyTorch and TensorFlow. Highlight any familiarity with Docker and Kubernetes for deployment.
