- Salary
- Salary not disclosed
- Experience
- Fresher friendly
- Job type
- Contract
- Location
- Work from home
Reading DigitalVerified companyWork from home5 Nov 2026
This job includes an online test
You'll take it right after applying — about 60 minutes. It is proctored: you'll need a camera and must stay on the test screen.
Reading Digital employs 820 people across engineering hubs in Reading and three other locations, building ERP software for mid-market manufacturers.
Job summary:
We're looking for a Machine Learning Engineer to join our team. This is a remote role. This hire will help build out our ML platform: feature store, training pipelines, model registry and deployment. The company is based in Reading, the UK. The team is distributed across several countries. We engage team members in Nepal as full-time contractors. Most of our contractors have been with us for more than two years. You will need to be available during UK office hours, at least until 3:00 PM GMT. We talk mostly in Slack and hop on quick calls when something needs discussing.
What you'll do:
Develop RAG pipelines with embeddings, vector stores (pgvector, Pinecone, Weaviate) and rerankers. Cut inference cost with quantization, batching and caching. Orchestrate pipelines with Kubeflow, SageMaker Pipelines, Vertex AI or Airflow. Productionize data science prototypes without rewriting everything. Fine-tune open-weight models with LoRA when it beats prompting. Build training pipelines in PyTorch or TensorFlow and run them on GPUs in AWS, GCP or Azure. Write clean, tested Python and review teammates' code.
Required qualifications:
3-5 years of software engineering experience, with at least two spent on ML systems in production. Comfortable with SQL and large-scale data processing in Spark or Ray. Strong Python and solid engineering habits (testing, packaging, code review). Hands-on experience with PyTorch, TensorFlow or JAX. Knowledge of LLM APIs, prompt design and evaluation methods. Understanding of core ML concepts: overfitting, evaluation metrics, bias in training data. BS or MS in computer science, engineering or a related field.
Preferred:
Computer vision background (OpenCV, detection, segmentation). Recommendation or ranking systems at scale. Distributed training with DeepSpeed or FSDP.
What you get:
Long-term engagement. Company laptop. Annual rate review.
Duration: 9 months. Start: Immediately.
Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Reading Digital.
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