Cambridge, Cambridgeshire, England, United Kingdom
Opus Recruitment Solutions Ltd
a Medical end client. Inside IR35 contract2 x a week in CambridgeAround £400 per day Required Skills & Experience: 8+ yrs of experience into QAProven experience as a Test Engineer / QA Engineer in a similar role with strong experience to AI / ML projects.Strong programming skills in Python (pytest, unittest, or other test frameworks).Familiarity with AI / ML frameworks such as TensorFlow, PyTorch, or scikit-learn.Hands-on experience with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.Strong problem-solving skills and ability to communicate technical issues clearly. Key Responsibilities: Design and implement test plans for AI / ML applications, APIs, and pipelines.Validate machine learning models, ensuring accuracy More ❯
client. Inside IR35 contract 2 x a week in Cambridge Around £400 per day Required Skills & Experience: 8+ yrs of experience into QA Proven experience as a Test Engineer / QA Engineer in a similar role with strong experience to AI / ML projects. Strong programming skills in Python (pytest, unittest, or other test frameworks). Familiarity with … AI / ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines. Strong problem-solving skills and ability to communicate technical issues clearly. Key Responsibilities: Design and implement test plans for AI / ML applications, APIs, and pipelines. Validate More ❯
an NLP project for a major utilities client. You'll develop and deploy transformer models, LLMs, and RAG pipelines to extract insights from unstructured data. Remote, outside IR35, £650 / day. Contract Machine Learning Engineer (NLP - Utilities Sector) Rate: £650 / day IR35: Outside Location: Remote (occasional travel to Cambridge) Duration: 6 months (initial) Our client is a … Transformers. Build or enhance retrieval-augmented generation (RAG) systems using LangChain and vector databases like FAISS, Weaviate, or Pinecone. Package and deploy solutions via Docker, Kubernetes, or Vertex AI / SageMaker. Collaborate with internal MLOps and Data Science teams to ensure robustness, monitoring, and CI/CD alignment. Communicate progress clearly with stakeholders and More ❯