Workforce Scheduling Engineer

London, EPD, Permanent (0.6 - 1 FTE)

Our mission is to transform how healthcare organisations work together with their workforce. Our Connected Scheduling™ platform connects healthcare organisations and their staff giving them more autonomy and control on how and when they work. Over 50% of UK GP practices use Lantum, and over 30% of UK Trusts rely on Lantum workforce products. We have developed a completely new approach to scheduling staff using AI to balance the vast amounts of complexities in workforce scheduling and we have seen game-changing results.

We have not only saved millions for the NHS, but we have countless stories of how we have improved the lives of clinicians who, for the first time, are able to plan their work lives around their personal lives.

What sets us apart is not only our leading edge technology and approach to innovation, it’s our culture and our strength of mission. Our incredible team is the driving force behind our success and this propels our competitive edge. We are diverse (10+ nationalities and 53% female workforce), we are authentic and true to ourselves, we are creative and focused and we work hard together to change our industry.

Our team is supported to deliver their best work with clear career progression and a strong feedback culture.

We have a bright and modern office which you can work from throughout the week and 3 core office days per week (Monday, Tuesday & Wednesday) where the whole team comes together.

This role exists to turn complex NHS rota requirements into high-quality, compliant, explainable rotas using Lantum’s Timefold based scheduling engine.

You will work hands‑on with real Trust data, translating clinical, contractual and operational rules into solver constraints, iterating until the rota meets agreed acceptance criteria. Over time, you’ll become increasingly autonomous and help feed learning back into the product to reduce future delivery effort.

This is not a generic backend engineering role. It sits at the intersection of software, optimisation, and real-world healthcare operations.

• Build and iterate NHS rotas using Lantum’s AI based scheduling platform
• Analyse Trust-specific requirements and encode them as constraints
• Tune constraint weights to balance fairness, compliance, preferences, and coverage
• Evaluate solve outputs against explicit client acceptance criteria and deadlines
• Work to fixed delivery milestones aligned to clinical publication timelines

• Implement and modify constraints in Java using Opta Planner / Timefold
• Query and validate rota data using SQL (Postgres)
• Run, analyse, and debug solver outputs to understand trade‑offs and failure modes
• Work within Lantum’s AWS‑hosted infrastructure and delivery workflows

• Work closely with product, tech and operations in a multidisciplinary delivery team
• Develop a working understanding of NHS rota rules, DRS compliance, and clinical patterns
• Contribute feedback on tooling gaps, recurring issues, and opportunities for automation
• Help evolve internal SOPs and product capabilities based on hands‑on delivery experience

In the first 6 months:

• Deliver rotas reliably with close support
• Understand core NHS rota constraints and acceptance criteria
• Make safe, explainable changes to solver behaviour

In the medium term:

• Work largely independently on rota delivery
• Anticipate common Trust issues before they surface
• Contribute meaningfully to reducing iteration cycles and rework

In the longer term:

• Help shift rota building from towards full self‑service capability
• Act as a bridge between real‑world scheduling complexity and product evolution

• Demonstrated expertise in an object‑oriented language, with Java experience being beneficial
• Must have prior experience in clinical rostering and a deep understanding of rota logic and patterns
• Experience translating complex business rules into programmatic constraints or logic
• Working knowledge of cloud‑hosted systems (AWS preferred)
• Ability to reason about optimisation trade‑offs, not just “correct vs…