XX
Senior Machine Learning EngineerData Freelance HubLondon, England, United Kingdom
XX

Senior Machine Learning Engineer

Data Freelance Hub
  • GB
    London, England, United Kingdom
  • GB
    London, England, United Kingdom

Über

Overview 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) Leave
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
Freelance data hiring powered by an engaged, trusted community — not a CV database.
#J-18808-Ljbffr
  • London, England, United Kingdom

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klicken Sie auf „Jetzt Bewerben“, um Ihre Bewerbung direkt auf deren Website einzureichen.