About FYLD

FYLD’s mission is to power productivity, safety, and efficiency in field teams around the world to enable operational excellence. We provide managers with real-time workflow visibility to deliver greater business efficiency, all while eliminating paperwork and unnecessary disruption to field teams’ vital work on the tools. Our digital platform reduces safety hazards, regulatory fines, and productivity losses facing an industrial field workforce.

At its core the product has an app for field workers connected to a web-app for their managers. The app allows workers in the field to automatically assess and log hazards using natural language processing, image analysis and predictive reasoning. It also allows them to provide status updates on how work is progressing. This then gives managers real time visibility of their sites, allowing them to focus on the jobs that need their attention most.

Founded in 2020 as a partnership between BCG and SGN, FYLD has expanded rapidly as an innovator in the utilities and construction industries, which are otherwise stuck in early digitisation. FYLD is now used by over 100 organisations across five different continents and grew 300% in 2023.

FYLD raised a £12m Series A round in late 2023, and is backed by blue-chip investors including Ontario Teacher’s Pension Plan (OTPP), Boston Consulting Group (BCG), and SGN. The company is aiming for its Series B in early 2026.

Role & Responsibilities

FYLD is looking for a Senior Data Scientist reporting into our Director of Engineering. This is a key hire for the business, as we continue to invest in our AI and data capabilities, which will increasingly underpin the value we can offer customers and our long term roadmap. We need an experienced AI leader who can contribute to the broader product and company strategies, hire and develop an excellent team, and institute effective ways of working that maximise the results we can deliver for our customers.

FYLD has strong traction in the market and a healthy sales pipeline based on the productivity gains that can be realised from digitising processes for workers in the field. However, we are just scratching the surface of the value that we can unlock for our customers. By investing further in our AI capabilities we can deliver even more value for customers, for example predicting and preventing delays and site stoppages, by forecasting job durations to enable dynamic scheduling, while also deepening our competitive moat. The Senior Data Scientist will lead this drive to build our AI capabilities, and translate this into products we can commercialise.

Key responsibilities include:

• Contributing to the long term product vision

• Build technology roadmap for AI that allows us to deliver this vision

• Building computer vision algorithms for tasks such as object detection, image segmentation, and scene understanding.

• Work closely with data engineers to improve data quality, labeling efficiency, and model accuracy

• Work closely with ML engineers to productise the AI models

• Ensure customers are successful in their use of our AI functionality

Experience

Key experience:

• At least five years experience in frameworks such as PyTorch and Tensorflow

• Two years experience in object detection models like YOLO, Faster R-CNN, and VIT

• Experience in training, fine-tuning, quantization, deploying computer vision models in production

• Apply data augmentation, transfer learning, and hyperparameter tuning to optimize model performance on complex datasets

• Expertise in implementing hybrid search and retrieval-augmented generation (RAG) techniques

• Deployment and Cloud based services - AWS, GCP, Docker, Linux

Additional requirements:

• Advanced degree in Computer Science, Statistics and/or Data Science

• Experience building and commercialising AI models

• Knowledge of the ML workflow, spanning from annotation, model training, model serving, scoring, pre/post processing, productionisation and feedback capture

• Knowledge of data ecosystems and tools, spanning from data ingestion, data engineering, data quality, data orchestration, and data privacy considerations and governance

• Data-informed - highly analytical thinker and structured problem-solver.

• Stakeholder management - ability to influence and advise key stakeholders at all levels across the organisation

• Operational execution - can run the processes and culture needed to deliver value from data and analytics teams reliably.

Location

This is a full-time, remote role based in the UK, with occasional travel to London for face-to-face meetings.

Culture

FYLD is a young, dynamic company that is growing quickly. The people here are entrepreneurial, passionate, and ambitious, as well as high-integrity, low-ego, collaborative, personable, and constructive. The pace is fast, our people feel deep accountability for driving amazing customer experiences.

Inclusivity

At FYLD, we welcome everyone regardless of their background, race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, etc. We nurture an inclusive work environment and are committed to ensuring equal opportunity in employment for qualified persons with disabilities.

In addition, we have implemented a flexible way of working which we believe enables teams and individuals to do their best work, regardless of where they’re based. While we value in-person collaboration and know a change of scenery and quiet space to work is welcomed from time to time, we also appreciate and understand that the world of work has changed.

All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company.

We know that innovation thrives on product teams where diverse points of view come together to solve hard problems in ways that are just now possible. As such, we explicitly seek people that bring diverse life experiences, diverse educational backgrounds, diverse cultures, and diverse work experiences.