> Markdown version of [/jobs/ext/332331-machine-learning-engineer-6-month-fixed-term-contract](https://www.wearedevelopers.com/jobs/ext/332331-machine-learning-engineer-6-month-fixed-term-contract). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Machine Learning Engineer - 6-month Fixed Term Contract

- **Company:** Singer Instrument Co Ltd
- **Location:** Minehead, UK (Remote available)
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Data Analysis, Architectural Patterns, Computer Vision, Software as a Service, Continuous Delivery, Cursor (Graphical User Interface Elements), Imaging Technology, Python (Programming Language), Machine Learning, Language Modeling, OpenCV, Open Source Technology, Scrum Methodology, Tensorflow, GitHub Copilot, Pytorch, Large Language Models, Deep Learning, Backend, Low Latency, ONNX (Open Neural Network Exchange) Format, Atlassian Tools, Performance Monitor, Machine Learning Operations, Front End Software Development, TensorRT, Software Version Control
- **Published:** June 7, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=38b05af88c0fd99e

## About the Role

* 3+ years of commercial experience, specifically training, adapting, and deploying computer vision systems.
 * Proven experience working with, fine-tuning, and customising large off-the-shelf vision models, including:
*

 + Meta SAM 3 (Segment Anything Model 3) or SAM 2 for advanced promptable object masking and real-time tracking. Modern architectures like YOLO26, YOLO11, or state-of-the-art Real-Time DEtection TRansformers (DETRs).
 + Self-supervised backbones such as DINOv2.
 * Mastery of Python and deep learning ecosystems, specifically PyTorch or TensorFlow, alongside core toolkits like OpenCV.
 * Strong experience deploying vision models at scale using AWS tools (e.g., Amazon EC2 GPU instances, Amazon SageMaker) alongside model optimisation frameworks like TensorRT or ONNX.
 * Extensive experience working within fast-paced Agile delivery teams using frameworks such as Scrum/Kanban, and expert-level proficiency with project management tools, specifically Jira and Confluence.

Desirable / Nice-to-Have

 * Experience implementing modern MLOps pipelines for automated model retraining, version control (e.g., DVC, MLflow), continuous deployment (CD for ML), and real-time model drift/performance monitoring.
 * Prior commercial or academic experience applying computer vision to Life Sciences, Biotech, Medical Imaging, or Digital Pathology (e.g., cell segmentation, tissue analysis, fluorescent imaging, or lab automation datasets) is highly advantageous.
 * Familiarity with Vision-Language Models (VLMs) or fine-tuning Multimodal Foundation Models for visual reasoning tasks.
 * Proactive use of advanced, modern development workflows and agentic coding tools (e.g., Claude Code, Cursor, or GitHub Copilot) to accelerate development and testing loops., You will bring 3+ years of commercial experience to the role, specifically training, adapting, and deploying computer vision systems. Crucially, we firmly believe that the right person can come from any background, and your unique journey matters more than just a qualification., * Sovereignty Status: Candidates must possess an absolute, unrestricted right to work in the UK (UK Nationals preferred). We cannot offer visa sponsorship or international remote working arrangements for these fixed-term packages.

## Description

Supported by a newly secured public funding grant, we are initialising an intensive engineering phase to transition a proprietary, laboratory-validated technical imaging technology from a Technology Readiness Level (TRL) 4 Proof of Concept into an operationally ready, commercially viable TRL 7 multi-tenant AI SaaS platform. The platform leverages advanced machine learning models to automate high-precision feature detection, image normalisation, and automated data analysis for specialised business and research environments., We are seeking a highly skilled Machine Learning Engineer specialising in Computer Vision to spearhead the development of our next-generation visual AI capabilities. In this role, you will bridge the gap between bleeding-edge AI research and production-grade software. You will be responsible for sourcing, fine-tuning, and turning "off-the-shelf" foundation models into highly optimised, tailored commercial features that extract deep value from visual datasets, specifically for automated AI colony detection and counting, * Take state-of-the-art, off-the-shelf computer vision foundation models and adapt, fine-tune, or compress them to suit our specific product use cases.

 * Package and deploy machine learning models into production environments (ideally AWS cloud infrastructure), ensuring low latency, high throughput, and efficient GPU cost-optimisation.
 * Architect scalable pipelines for data collection, automated data labelling, visual preprocessing, and dataset augmentation.
 * Actively evaluate newly released open-source models, translating theoretical AI breakthroughs into practical, scalable features.
 * Partner with backend, frontend, and product teams to expose model outputs smoothly via high-performance APIs.


## Related Videos

- [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters)
- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [Deepfakes in Realtime - How Neural Networks Are Changing Our World](https://www.wearedevelopers.com/videos/180-deepfakes-in-realtime-how-neural-networks-are-changing-our-world)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development)
- [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)
- [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers)