familiar with process management tools such as JIRA, Target process, Trello or similar Nice to Have: ● Familiarity with data security, privacy, and compliance frameworks ● Exposure to machine learning pipelines, MLOps, or AI-driven data products ● Experience with big data platforms and technologies such as EMR, Databricks, Kafka, Spark ● Exposure to AI/ML concepts and collaboration with data science or More ❯
Northampton, England, United Kingdom Hybrid/Remote Options
Intellect Group
and ability to communicate complex ideas clearly. Desirable Skills Experience with deep learning architectures (CNNs, RNNs, Transformers). Familiarity with cloud platforms (AWS, GCP, or Azure). Exposure to MLOps tools or pipeline automation. Previous internship or research experience in a related field. What’s on Offer Competitive graduate salary and benefits package. A collaborative, learning-focused environment. Opportunity to More ❯
R), SQL, and experience with notebooks, Git workflows, and Power BI. Working knowledge of supervised machine learning (e.g., gradient boosting, logistic regression), evaluation metrics, and experiment design. Exposure to MLOps concepts, cloud platforms (e.g., Azure), and GenAI tools is a strong plus. Structured thinking, strong problem-solving, and clear communication skills. Degree (2:1 or equivalent) in a numerical discipline More ❯
R), SQL, and experience with notebooks, Git workflows, and Power BI. Working knowledge of supervised machine learning (e.g., gradient boosting, logistic regression), evaluation metrics, and experiment design. Exposure to MLOps concepts, cloud platforms (e.g., Azure), and GenAI tools is a strong plus. Structured thinking, strong problem-solving, and clear communication skills. Degree (2:1 or equivalent) in a numerical discipline More ❯
clean code, scalability, and technical excellence Nice to Have Experience with RAG systems, multi-agent AI, or Langfuse/LiteLLM Python proficiency for AI/ML integration Familiarity with MLOps and cost optimisation for AI systems Background in B2B SaaS or financial software More ❯
Excellent communication and cross-functional collaboration skills Nice to have Experience with vector databases , RAG systems , or multi-agent AI Python skills for AI/ML development Familiarity with MLOps , Langfuse , or LiteLLM Background in fintech , SaaS , or payments software Join a forward-thinking fintech where you’ll have the freedom to innovate, influence technical direction, and build AI systems More ❯
United Kingdom, Birmingham, West Midlands (County)
Uniting Ambition
technical delivery. Desirable Skills Background in full-stack or backend engineering, using technologies such as Python, TypeScript, or .NET. Experience with data engineering and data architecture concepts. Familiarity with MLOps practices and AI development frameworks (e.g., Azure AI, LangChain, Hugging Face). Relevant certifications in Azure Architecture, Data, or AI disciplines. Knowledge of automation tools, monitoring, and observability platforms. If More ❯
Nottingham, England, United Kingdom Hybrid/Remote Options
Understanding Recruitment
pipelines Deploy, monitor, and improve production ML systems (forecasting, classification, behavioural modelling) Collaborate with data scientists, software engineers, and product teams to deliver scalable, explainable AI solutions Contribute to MLOps best practices, experimentation frameworks, and model governance What They’re Looking For: Strong academic background in Computer Science, Machine Learning, or a related field (Master’s or PhD preferred) Proven More ❯
Job Title: DevOps and Infrastructure Engineer Location: Nottingham, UK Salary: Up to £60,000 + Package About the Role We are working with a leading vehicle security technology business who are seeking a DevOps & Infrastructure Engineer to join their team. More ❯