Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform healthcare with AI by building and scaling production-grade systems.
- Company: Join Foundation Health, a pioneer in AI-powered digital pharmacy solutions.
- Benefits: Competitive pay, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact on patient care through innovative AI technology.
- Qualifications: 8+ years in software or ML engineering with hands-on AI systems experience.
- Other info: Collaborative culture that values diverse perspectives and creativity.
The predicted salary is between 48000 - 72000 £ per year.
Overview
About Foundation Health
Foundation Health is transforming healthcare through an AI-powered digital pharmacy platform that seamlessly connects operational infrastructure with high quality patient experiences. Our mission is to transform patient centric care by connecting fragmented infrastructure, optimizing care coordination, and removing friction from the patient journey. We refuse to adhere to the status quo; instead, we actively pioneer solutions that will shape the healthcare practices of tomorrow.
This ambitious vision is only achievable with the dedication of the right team propelling us forward. We firmly believe that a supportive and inspiring work environment fuels creativity, transforming it into groundbreaking innovation. It is this very innovation that not only benefits our organization but also positively impacts our people, partners, and most importantly, our patients.
At Foundation Health, we foster a culture that encourages our team members to broaden their horizons, urging them to bring their passion and curiosity to the workplace each day. We understand that diverse perspectives fuel progress, and we actively seek individuals who share our commitment to excellence and forward-thinking.
The Role
We are looking for a hands-on AI/ML systems expert to partner with our engineering and product teams as we scale production AI systems across the company. You’ll focus on strengthening and extending existing AI solutions, providing architectural perspective whilst helping guide the next phase of scalability and operational maturity across our AI platform. You will work closely with leadership and engineers on real, deployed systems, contributing both strategic guidance and hands-on execution. This is an architecture- and execution-oriented role for an experienced AI/ML practitioner who has built and operated production-grade AI systems.
You will collaborate across multiple product areas, including:
- Voice AI systems (real-time, low-latency, conversational workflows)
- LLM-driven workflow automation
- Applied ML and MLOps practices (deployment, monitoring, evaluation, governance)
The goal is not research, but building and operating high-quality AI systems in production.
What You’ll Work On
- System Architecture & AI Platform Evolution
- Partner with engineering teams to review and evolve existing AI architectures
- Provide input on orchestration patterns, tool calling, routing, fallbacks, and escalation logic
- Help identify opportunities to improve robustness, scalability, and maintainability
- Applied AI Quality & Evaluation
- Collaborate on how we measure AI performance in real-world workflows
- Help design evaluation approaches such as offline evals, regression suites, golden datasets, and human-in-the-loop review
- Define and refine success metrics (accuracy, completion rate, time-to-resolution, safety)
- MLOps & Production Readiness
- Contribute to best practices around:
- deployment patterns
- versioning and reproducibility
- observability (logs, traces, model outputs)
- incident response and rollback strategies
- Support monitoring approaches for:
- model drift and performance degradation
- hallucination and error patterns
- latency and cost optimization
- Provide architectural guidance aligned with healthcare and regulated-data requirements
- Review approaches to:
- PHI handling
- access controls
- auditability
- data retention and logging strategies
What You’ll Deliver
- Clear, actionable guidance to engineering and leadership to evolve and scale our AI systems
- Prioritized recommendations to accelerate near-term execution while supporting long-term platform maturity
- Architecture guidance for scaling AI workflows reliably across product lines
- A pragmatic roadmap (2 weeks / 6 weeks / 3 months) aligned to business priorities
- Hands-on collaboration and pairing with engineers to support implementation
Required Experience
- 8+ years in software engineering, ML engineering, or AI systems
- Proven experience delivering AI systems into production
- Deep familiarity with LLM-based systems (tool calling, orchestration, guardrails)
- Strong grounding in MLOps best practices (monitoring, evaluation, deployment)
- Experience designing systems with high reliability requirements
- Ability to communicate clearly across engineering and leadership
Strongly Preferred
- Experience with healthcare workflows
- Experience in regulated data environments (HIPAA, SOC 2, auditability)
- Experience building real-time or low-latency systems (Voice AI a plus)
- Experience with human-in-the-loop workflow automation
Applied ML & Ops Consultant - Contract employer: Foundation Health
Contact Detail:
Foundation Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied ML & Ops Consultant - Contract
✨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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects and any relevant work you've done. This is your chance to demonstrate your hands-on experience and make a lasting impression.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s mission and values. Understand how your skills align with their goals, especially around transforming patient care. Tailor your responses to show you're the perfect fit!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our innovative team at Foundation Health.
We think you need these skills to ace Applied ML & Ops Consultant - Contract
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Applied ML & Ops Consultant role. Highlight your experience with AI systems and MLOps practices, as this will show us you understand what we're looking for.
Showcase Your Experience: When detailing your past roles, focus on specific projects where you've built or operated production-grade AI systems. We want to see how your hands-on experience aligns with our mission at Foundation Health.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your skills and experiences, making it easy for us to see how you can contribute to our team.
Apply Through Our Website: We encourage you to submit your application directly through our website. This helps us keep track of all applications and ensures you’re considered for the role in a timely manner!
How to prepare for a job interview at Foundation Health
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI and ML technologies, especially those relevant to healthcare. Brush up on your understanding of LLMs, orchestration patterns, and MLOps best practices. Being able to discuss these topics confidently will show that you’re not just familiar with the theory but can apply it in real-world scenarios.
✨Showcase Your Hands-On Experience
Prepare to share specific examples from your past work where you’ve built or operated production-grade AI systems. Highlight your role in system architecture evolution and how you’ve contributed to improving scalability and maintainability. Real-life stories resonate well and demonstrate your practical skills.
✨Understand the Healthcare Landscape
Familiarise yourself with healthcare workflows and regulations like HIPAA and SOC 2. Be ready to discuss how you would approach data handling and compliance in your role. This knowledge will set you apart as someone who understands the unique challenges of working in a regulated environment.
✨Prepare Thoughtful Questions
Think of insightful questions to ask your interviewers about their AI platform and future goals. This shows your genuine interest in the company and helps you gauge if their vision aligns with yours. Questions about team dynamics, project timelines, and innovation strategies can spark engaging conversations.
