Senior Machine Learning Engineer

TL;DR

Senior Machine Learning Engineer (AI/ML): Building end-to-end ML systems for interpreting patient healthcare requests and powering triage intelligence with an accent on data pipelines, model deployment, and real-time monitoring. Focus on translating clinical objectives into efficient computational tasks, evolving experimental code into production libraries, and turning one-off experiments into reusable platform capabilities.

London (Shoreditch), Hybrid: office first culture, 3 days a week in office with core hours 10am-4pm

£100K – £115K • Offers Equity

Company

Building a single system-wide platform that connects NHS healthcare communication, powering tools like Total Triage, Self-Book, Patient Questionnaires, Accumail, and AI-powered hirify.global Scribe.

What you will do

• Own end-to-end technical design of ML systems from data ingestion and training pipelines to deployment and real-time monitoring.
• Partner with Data Scientists to evolve experimental code into extensible library modules and reusable components.
• Translate clinical and product objectives into efficient ML tasks, selecting optimal tools like Deep Learning or NLP.
• Build repeatable platform capabilities from experiments, resolving cross-team dependencies for AI model rollouts.

Requirements

• Extensive experience with ML techniques (Transformer-based NLP, Deep Learning, Tree-based methods, Bayesian modelling).
• Track record of taking models from Jupyter notebook to high-availability production, including data versioning and model serving.
• Mastery of production-grade language (Python, C#, Go) for extensible, modular libraries.
• Experience defining offline and online metrics for model performance and user impact.
• Collaborative rigour in design/code reviews, identifying risks like data leakage or hardware constraints.

Nice to have

• Experience with regulated data (GDPR, HIPAA) and privacy techniques like differential privacy.
• Familiarity with Terraform, Kubernetes, SageMaker, or Vertex AI.
• Hands-on with fine-tuning LLMs, prompt engineering, and managing LLM latency/cost trade-offs.

Culture & Benefits

• Office-first with 3 days/week in dog-friendly Shoreditch office, core hours 10am-4pm.
• 28 days holiday plus bank holidays, up to 4 weeks work from anywhere per year.
• Adjustable benefits: healthcare cover, pension, life insurance; enhanced parental leave, fertility support.
• Free healthy breakfasts, snacks, lunches by in-house chef.
• Mission-driven, low-ego, high-impact environment valuing expertise and cross-functional collaboration.