AI/ML Engineer, TrustFlight

Salary not provided

AWS

Python

Tensorflow

Scikit-Learn

PyTorch

Junior, Mid and Senior level

London

Digital transformation services for aviation

Open for applications

Digital transformation services for aviation

21-100 employees

B2BEnterpriseLogisticsProductivityDeep TechFlightsAutomation

Open for applications

Salary not provided

AWS

Python

Tensorflow

Scikit-Learn

PyTorch

Junior, Mid and Senior level

London

21-100 employees

B2BEnterpriseLogisticsProductivityDeep TechFlightsAutomation

Company mission

To be the trusted provider of digital workflow solutions to capture, store and share aviation data to improve safety and efficiency.

Job

Company

Role

Who you are

We’re looking for candidates with a background in AI, Machine Learning, or a related field (BSc, MSc, or PhD). You don’t need to have experience with everything, we’re excited to hear from curious, motivated engineers who want to grow and learn on the job
Python and ML/NLP frameworks such as scikit-learn, TensorFlow, or PyTorch
Large/Small Language Models (LLMs/SLMs) and libraries like Hugging Face Transformers
Prompt engineering for tasks like summarization, Q&A, or information extraction
Fine-tuning transformer-based models (LoRA, PEFT, etc)
Speech recognition systems (Whisper, wav2vec 2.0, Kaldi, DeepSpeech)
Document AI / OCR tools (Tesseract, AWS Textract, Google Document AI)
Evaluation metrics for NLP/ASR/LLM tasks (WER, BLEU, ROUGE, perplexity, factual consistency)

What the job involves

As part of our engineering team, you’ll work with cutting-edge AI/ML to automate complex manual tasks, improving safety-critical processes across aviation. Reporting to the Director of Engineering, you’ll take ideas from inception to real-world deployment, shaping both our AI strategy and the future of aviation software
This is a unique opportunity for a curious, self-motivated engineer, whether you’re completing a Master’s, PhD, or already have hands-on experience, who wants to see their work have a direct, large-scale impact
Drive the full lifecycle of AI/ML solutions, from research/prototyping to deployment in production and monitoring
Partner with product managers, subject matter experts, and engineers to enhance existing products and build new AI-powered features
Deliver solutions that create tangible value for customers while laying the foundation for the UK AI Engineering team

Application process

Send us your resume, including a cover letter

Salary benchmarks

Our take

TrustFlight develops intelligent workflow automation platforms and other tools with the aim of improving levels of efficiency and safety across the aviation sector. Currently, the company’s suite of products caters to maintenance programmes, technical support, tech and engine logs, and operational and equipment management.

It’s a slim sector to be operating in - and one would think it would pit TrustFlight head to head with a prohibitively strong slew of industry giants. TrustFlight, however, is seeing good growth - and has even partnered with the likes of Boeing to bring blockchain verification methods to aviation supply chains.

This integration of sourcing and the blockchain is proving a smart and lucrative bet across various industries, given the tightening regulatory focus on promoting supply chain oversight. It’s just one example of how TrustFlight is leveraging its deeptech expertise to digitally transform aviation. Developments in this sector won’t happen fast, but they are critical, and highly influential. TrustFlight has its sights set on becoming an important player in the space.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Glassdoor (3.5)

Company

Company HQ

Coal Harbour, Vancouver, BC

Leadership

Karl Steeves

(Co-Founder & CEO)

Prior to TrustFlight worked as a power electronics engineer with Jaguar Land Rover.

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