Senior Generative AI Researcher and Engineer (LLMs) Location: Flexible within UK time zone Contractor Role: 3–5 days per week Are you a seasoned AI researcher and engineer with a passion for pushing the boundaries of Large Language Models (LLMs) and generative AI?
Sacher AI is seeking a Senior Generative AI Researcher and Engineer to lead the design, development, and deployment of cutting-edge LLM solutions.
This fully remote role, with occasional travel, is ideal for an experienced professional eager to drive impactful innovations in healthcare, finance, and legal sectors.
About Sacher AI At Sacher AI, we combine AI with behavioural science to create solutions that deliver measurable impact.
We're a small but fast-growing team at an exciting stage of development, with our AI Research and Innovation Lab driving each product from feasibility testing through to deployment.
We specialise in AI solutions that are research-backed, scalable, and designed to deliver real-world outcomes in healthcare and beyond.
Your Role As the Senior Generative AI Researcher and Engineer, you will lead the advancement of LLM and generative AI projects, managing the entire lifecycle from concept to deployment.
Working closely with data scientists, product managers, behavioural scientists, and clinicians, you'll integrate LLM technology into transformative products, interface with clients to ensure solutions meet their needs, and keep Sacher AI at the forefront of generative AI research and application.
Key Responsibilities LLM Development : Lead and contribute to the design, training, and deployment of state-of-the-art LLMs and generative AI models, ensuring high performance, safety, and quality standards.
Continuous Research and Innovation : Keep up with the latest advancements in LLMs, generative AI, and machine learning methodologies, bringing new insights and technologies to the team and driving continuous improvement.
Project Management : Manage and execute end-to-end machine learning projects, from research and experimentation to deployment, incorporating best practices and maintaining rigorous project oversight.
Cross-Functional Collaboration : Work closely with product managers, data scientists, and other team members to integrate LLM technologies into Sacher AI's products and services, tailoring solutions to specific use cases in healthcare.
Client Engagement : Interface with clients to understand their unique needs, present tailored LLM solutions, and provide ongoing support to deliver maximum impact and ensure satisfaction.
Best Practices Implementation : Implement industry best practices for LLM training, fine-tuning, prompt engineering, and evaluation to optimise model performance and maintain high standards.
Key Skills Technical Expertise in LLMs : Deep understanding of LLMs, generative AI, and related technologies, with experience in prompt engineering, fine-tuning, and foundation model applications.
ML Framework Proficiency : Strong programming skills in Python and expertise in machine learning frameworks such as TensorFlow, PyTorch, and relevant libraries for large-scale model development.
LLM API Integration : Hands-on experience working with LLM APIs (e.g., OpenAI, Anthropic, AWS Bedrock, Azure OpenAI) and integrating these technologies into production environments.
Database and Data Modelling Skills : Proficiency with databases, data modelling, and optimisation to support large-scale ML applications and efficient data processing.
MLOps : Strong skills in MLOps practices, including experience with CI/CD pipelines, containerisation, model versioning, monitoring tools, and automated testing frameworks for ML systems.
Project Leadership : Proven experience managing and leading complex AI projects, with a strong ability to organise tasks, timelines, and deliverables across cross-functional teams.
Client Interaction and Presentation : Excellent communication skills, with experience in client-facing roles; able to present technical solutions clearly and manage client expectations effectively.
Collaboration and Adaptability : Skilled at working in cross-functional teams, balancing multiple projects, and adapting to shifting priorities and client needs.
Requirements Experience : 7+ years in ML research and engineering, with a focus on LLMs and generative AI.
Education : PhD in Computer Science, AI, Machine Learning, or a related field, or equivalent work experience.
Industry Knowledge : Proven experience across industry, startup, and/or contracting environments, ideally with applications in healthcare or other regulated sectors, such as financial services.
Technical Skills : Proficiency in Python, TensorFlow, PyTorch, and other relevant ML frameworks.
LLM Expertise : Extensive experience in prompt engineering, working with LLM APIs, RAG systems, and fine-tuning foundation models.
MLOps : Demonstrated skills in CI/CD, containerisation, model monitoring, and automated testing for robust ML deployments.
Database Knowledge : Strong experience with databases and data optimisation for ML applications.
Desirable Skills : Experience with recommendation systems or similar advanced ML applications is a plus.
Why Join Sacher AI?
Innovative, Research-Driven Environment : Work at the cutting edge of AI, where scientific rigor and innovation guide every project.
Supportive, Collaborative Culture : Be part of a friendly, wellness-focused team that values collaboration, health, and well-being in a positive work environment.
Growth Stage Opportunity : Join a fast-growing team at an exciting stage of development, where your work will make a tangible impact.
Flexible and Remote : Enjoy a remote role with the flexibility to collaborate in person as needed, supported by a team that prioritises productivity and a healthy work-life balance.
If you're ready to lead groundbreaking work in generative AI and help shape the future of AI products at Sacher AI, we'd love to hear from you!
https://www.sacher.ai