Senior AI Engineer

numi; United Kingdom; Remote; GBP 108,000 - 132,000; Full time

Benefits offered by this job

Competitive salary and equity options

Flexible, hybrid or remote working options

Opportunities for professional growth and mentorship

Job summary

A healthcare technology firm is seeking a Senior AI / Machine Learning Engineer to develop advanced language and machine learning systems for their clinical platform. The role involves collaborating with clinicians to address complex healthcare challenges, building data pipelines, and ensuring compliance with safety standards. Candidates should have over 4 years of experience with AI and ML in a product setting and possess strong Python skills. This position offers a competitive salary, equity options, and flexible working arrangements.

Qualifications

• 4+ years of hands-on experience in AI, ML, or NLP.
• Strong knowledge of large language models and evaluation methods.
• Experience building full ML pipelines from data ingestion to deployment.

Responsibilities

• Design and implement NLP and ML systems for clinical applications.
• Build and maintain data pipelines and deployment workflows.
• Collaborate cross-functionally to translate clinical requirements.

Skills

AI and Machine Learning

Natural Language Processing

Python

PyTorch

TensorFlow

HuggingFace

Collaboration

Tools

CI/CD

ML Pipelines

Job description

Principal Consultant at numi | Cloud and Engineering Recruitment☁️ | WIT ADVOCATE

Remote

Salary - Starting at £120k +

About the Company

Numi is partnering with an ambitious health technology start‑up that is reimagining how clinicians and patients interact with healthcare systems. Their product is an AI‑powered clinical assistant built to support doctors and patients throughout the care journey—from consultations and diagnostics to ongoing monitoring and recovery.

The team blends deep medical expertise with advanced machine learning and product design, creating technology that is safe, reliable, and clinically validated. Their mission is to build tools that make healthcare more efficient, effective, and human.

The Role

We’re looking for a Senior AI / Machine Learning Engineer to design, build, and scale advanced language and machine learning systems at the core of the company’s clinical platform.

You’ll work closely with clinicians, product managers, and software engineers to transform complex healthcare challenges into robust, data‑driven solutions. This is a hands‑on role with broad impact—touching everything from model training and deployment to safety evaluation and infrastructure.

Key Responsibilities

• Design and implement NLP and ML systems for clinical and conversational applications
• Build and maintain data pipelines, model training, fine‑tuning, evaluation, and deployment workflows
• Collaborate cross‑functionally to translate clinical requirements into scalable technical solutions
• Ensure safety, performance, and regulatory compliance of ML systems
• Contribute to technical strategy, architectural decisions, and mentoring within the ML team

What We’re Looking For

• 4+ years of hands‑on experience in AI, ML, or NLP, ideally in a product setting
• Strong knowledge of large language models (LLMs), embeddings, fine‑tuning, and evaluation methods
• Advanced Python skills and experience with frameworks like PyTorch, TensorFlow, and HuggingFace
• Experience building full ML pipelines from data ingestion to deployment
• Solid software engineering practices including testing, version control, and CI/CD
• Strong communication and collaboration skills, especially with non‑technical stakeholders
• Interest in applying AI to healthcare or other high‑impact domains

Nice to Have

• Experience in healthcare, clinical AI, or medical data
• Knowledge of model safety, bias monitoring, or regulatory frameworks
• Familiarity with multi‑modal ML, retrieval‑augmented systems, or knowledge graphs
• Production experience with scalable ML systems
• Understanding of privacy and security considerations in regulated environments

Why Join

• Competitive salary and equity options
• Flexible, hybrid or remote working options
• A mission‑driven environment where your work directly improves patient care
• Collaboration with clinicians, product experts, and ML researchers
• Opportunities for professional growth, mentorship, and learning