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For Companies At a Glance
- Tasks: Design and deploy cutting-edge NLP models while collaborating with innovative teams.
- Company: Join UnderwriteMe, a forward-thinking Insurtech company transforming the insurance landscape.
- Benefits: Enjoy 25 days leave, healthcare coverage, and wellness perks like gym memberships.
- Why this job: Make a real impact in machine learning and shape the future of insurance technology.
- Qualifications: 6+ years in machine learning with expertise in NLP and strong Python skills.
- Other info: Dynamic work environment with opportunities for rapid career growth.
The predicted salary is between 48000 - 72000 £ per year.
This role is for a Senior Machine Learning Engineer with a contract length of "Unknown", offering a pay rate of "Unknown". Key skills include 6+ years in machine learning, expertise in NLP and LLMs, strong Python skills, and experience with AWS. Location: London, England, United Kingdom. Contract: Fixed Term.
What You Will Be Doing
- Build & Iterate Fast: Design, experiment, and deploy state-of-the-art NLP and LLM models. Quickly test hypotheses, optimise, 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 Optimise: Take models from prototypes to production, optimising for performance, scalability, and efficiency.
What Type Of Person Fits The Role
- Experience: 6+ years in machine learning, with deep expertise in NLP and LLMs/SLMs.
- LLMs: Strong knowledge of large language models (LLMs) and experience with frameworks and libraries like Hugging Face, OpenAI API, LangChain, DeepSpeed, LlamaIndex, LiteLLM, vLLM, etc.
- Model deployment: Experience in deployment and optimisation for inference speed and scalability is a plus.
- Prompt Engineering: Proven ability to design and optimise prompts for LLMs, including few-shot, zero-shot, chain-of-thought, and prompt tuning.
- RAG: Hands-on experience with Retrieval-Augmented Generation (RAG) to improve model performance in tasks such as question answering and document retrieval.
- Skills: Strong Python skills, experience with cloud ML platforms (AWS preferred), and ML frameworks (PyTorch, TensorFlow). Familiarity with Docker and Kubernetes for containerisation and deployment.
- Mindset: 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 have a vision to help everyone purchase protection insurance by using data and disruptive technology to transform our partners and markets in order to make their underwriting processes as quick and efficient as possible.
Benefits (Only For Permanent And Fixed Term Employees)
- 25 days of annual leave with option to buy/sell more days
- Adoption and fertility leave
- Healthcare: Comprehensive private insurance coverage for employee and dependents
- Group Life Insurance coverage of 9x basic annual salary and Group Income Protection up to 75% of basic annual salary
- Savings & Retirement: 15% combined employee/employer contributions
- Wellness: Subsidized gym membership, Access to Employee Assistance Program, Cycle to Work and Electric Car Salary Sacrifice Scheme
- Time off for volunteering, Charitable matching of employee donations
As part of our commitment to accessibility for all, UnderwriteMe will, upon the request of the applicant, provide accommodation during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs, and we will consult with you to ensure suitable accommodation is provided.
UnderwriteMe Values
Please click here to view our company values
Senior Machine Learning Engineer in London 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 in London
✨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 machine learning 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 skills and common ML concepts. Practice explaining your past projects and how you tackled challenges. Confidence is key, so get comfortable talking about your expertise!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from passionate candidates. 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 in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in machine learning, especially with NLP and LLMs. We want to see how your skills align with what we're looking for, so don’t hold back!
Showcase Your Projects: Include specific examples of projects you've worked on that demonstrate your expertise in Python and AWS. We love seeing real-world applications of your skills, so share those success stories!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and skills stand out without unnecessary fluff.
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!
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 techniques and large language models like GPT and BERT. Be ready to discuss your experience with these models, including any specific projects where you’ve implemented them. This shows you’re not just familiar with the theory but have practical knowledge too.
✨Showcase Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Brush up on libraries like PyTorch and TensorFlow, and be ready to discuss how you've used them in past projects.
✨Emphasise Your Deployment Experience
Talk about your experience with deploying machine learning models, especially in cloud environments like AWS. Be specific about the challenges you faced and how you optimised for performance and scalability. This will show that you can take models from prototypes to production effectively.
✨Adopt a 'Fail Fast, Learn Fast' Mindset
Prepare to discuss how you approach experimentation and iteration in your work. Share examples of when you had to pivot quickly based on feedback or results. This aligns perfectly with the company’s values and demonstrates your adaptability in an agile environment.
