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- Tasks: Join us in building and scaling AI systems that transform healthcare experiences.
- Company: Foundation Health is revolutionising healthcare with an AI-powered digital pharmacy platform.
- Benefits: Competitive pay, flexible work options, and a culture of innovation.
- Why this job: Make a real impact on patient care while working with cutting-edge AI technology.
- Qualifications: 8+ years in software or ML engineering with hands-on AI systems experience.
- Other info: Collaborative environment with opportunities for professional growth and creativity.
The predicted salary is between 60000 - 84000 £ per year.
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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Foundation Health. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or projects that highlight your AI/ML expertise, make sure to share them during interviews. It’s all about demonstrating what you can bring to the table.
✨Tip Number 3
Prepare for the technical deep dive! Brush up on your knowledge of MLOps and AI systems. Be ready to discuss how you’ve tackled challenges in past roles, especially in production environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our innovative team.
We think you need these skills to ace Applied ML & Ops Consultant - Contract in London
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: We want to see your hands-on experience in building and operating production-grade AI systems. Be specific about your past projects and how they relate to the responsibilities outlined in the job description.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to communicate your skills and experiences, making it easy for us to see why you're a great fit for the team.
Apply Through Our Website: Don't forget to submit your application through our website! This helps us keep everything organised and ensures your application gets the attention it deserves.
How to prepare for a job interview at Foundation Health
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI and ML systems, especially those relevant to healthcare. Be ready to discuss your hands-on experience with production-grade AI systems and how you've tackled challenges in scalability and operational maturity.
✨Showcase Your Collaboration Skills
Since this role involves working closely with engineering and product teams, prepare examples that highlight your ability to collaborate effectively. Think about times when you provided architectural guidance or contributed to team projects, and be ready to share those stories.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about MLOps best practices, deployment patterns, and observability. Brush up on your knowledge of monitoring approaches and be prepared to explain how you've handled issues like model drift or performance degradation in the past.
✨Align with Their Mission
Foundation Health is all about transforming patient care through innovative solutions. Familiarise yourself with their mission and values, and think about how your own passion for AI can contribute to their goals. This will show them you're not just a fit for the role, but also for their culture.
