Monolith

About the Company

Monolith is trusted by the world’s top engineering teams to build self-learning models that empower your engineers to do less testing, more learning, and develop better quality products in half the time.

Our end-to-end cloud platform enables any engineer to use their test data and expertise to solve intractable physics problems. It's designed by engineers, for engineers.

Quickly design AI pipelines and train models without advanced programming or data science experience. Understand how your design works and which parameters are most influential on performance. Use AI self-learning models to make predictions of how your design performs under different conditions. Find optimal values for key design parameters to meet performance targets and regulatory requirements.

Monolith was founded in 2016 by Dr. Richard Ahlfeld, born from his PhD at Imperial College London and NASA. Boosted by joining the FoundersFactory 6-month Accelerator Programme in January 2018, he built a diverse team of engineers, data scientists, and software developers to achieve his company vision. Monolith was named a Gartner Cool Vendor for AI in Automotive.

Listed Jobs

Company Name

Monolith

Job Title

Solutions Engineer

Job Description

**Job Title:** Solutions Engineer **Role Summary:** Pre‑sales technical specialist responsible for translating engineering R&D prospects’ requirements into AI‑driven solutions using Monolith’s no‑code data‑science platform. Acts as technical owner throughout the sales cycle, delivers feasibility assessments, prototypes custom AI workflows, and ensures smooth handover to implementation teams. **Expectations:** - Strong engineering background with ability to engage technical and commercial stakeholders. - Proactive identification of technical opportunities that add value to prospect operations. - Collaborative mindset for cross‑functional coordination (Sales, Customer Success, Product, Data Science, Legal). - Continuous learning of evolving AI platform capabilities. **Key Responsibilities:** - Gather and analyze technical requirements of prospect engineering R&D use cases. - Evaluate and communicate the technical value of AI solutions to stakeholder audiences. - Conduct feasibility assessments and scope AI projects for successful delivery. - Prototype and configure custom AI workflows on the Monolith platform using prospect data. - Partner with Sales to advance opportunities through the sales cycle to closure. - Maintain technical ownership of each deal and drive timely, successful closes. - Coordinate technical handovers with internal teams to ensure seamless transition to implementation. **Required Skills:** - STEM degree or equivalent technical experience. - Experience in an engineering industry (e.g., automotive, energy, manufacturing). - Familiarity with data, data science, AI/ML, and software development concepts. - Strong communication skills for presenting technical value to diverse audiences. - Ability to build and maintain relationships with internal and external stakeholders. - Problem‑solving orientation with a focus on identifying value‑adding technical solutions. **Required Education & Certifications:** - Bachelor’s degree in a STEM field (e.g., Engineering, Computer Science, Physics, Mathematics) or comparable practical experience. - No specific certifications required.

London, United kingdom

On site

09-10-2025

Company Name

Monolith

Job Title

Principal Software Engineer

Job Description

**Job title** Principal Software Engineer **Role Summary** Own and drive the technical vision and execution for the platform’s migration from a monolithic to a distributed, AI‑agentic architecture. Deliver production‑grade Python code, build scalable distributed compute services, mentor a growing engineering team, and guide technical decisions that align short‑term business needs with long‑term architectural goals. **Expactations** * Demonstrated senior technical leadership with hands‑on code delivery. * Deep expertise in distributed systems, Kubernetes, and workflow orchestration. * Proven ability to mentor and grow engineering talent. * Strong stakeholder communication to translate product requirements into scalable solutions. * Ownership mindset: deliver end‑to‑end solutions and drive initiatives through completion. * Pragmatic trade‑off decision making between delivery velocity and architectural soundness. **Key Responsibilities** - Lead architectural evolution to a distributed, AI‑agentic platform. - Design, implement, and optimize distributed compute services and workflow orchestration (Temporal, Airflow, etc.). - Write high‑quality, production‑grade Python code for critical platform components. - Mentor mid‑level developers, elevate technical capabilities, and establish engineering best practices. - Collaborate with product and business stakeholders to translate requirements into technical solutions. - Own technical decisions, balancing immediate business needs with long‑term goals. - Interview, onboard, and build high‑performance engineering teams. **Required Skills** - 12+ years in software engineering; ≥2 years in principal/staff engineering roles. - Expert Python development at scale. - Design and implementation of distributed systems architecture. - Production‑grade Kubernetes experience (deployment, scaling, ops). - Hands‑on workflow orchestration (Temporal, Airflow, or equivalent). - Cloud platform experience – AWS mandatory, Azure beneficial. - Data processing frameworks (Spark, Athena, etc.). - Familiarity with ML Engineering / MLOps components in production systems. - Strong technical communication and stakeholder management. **Required Education & Certifications** - Bachelor’s degree (or higher) in Computer Science, Software Engineering, or a related field. - Relevant industry certifications (e.g., AWS Certified Solutions Architect, Certified Kubernetes Administrator) are a plus but not mandatory.

London, United kingdom

On site

Senior

07-12-2025