Mid-Level AI / Machine Learning Engineer

About the Role

We are working with a growing organisation seeking an experienced Mid-Level AI/Machine Learning Engineer to join their expanding AI function. This is an excellent opportunity for someone with 3-5 years' hands-on experience building and deploying ML/AI systems to take the next step in their career, working on real production-scale applications rather than pure research or proof-of-concept work.

Key Responsibilities

• Design, build, and deploy machine learning models into production environments
• Work with generative AI/LLM integration, including prompt engineering, fine-tuning, or RAG-based architectures
• Collaborate with data engineers and software developers to build robust data pipelines feeding ML systems
• Monitor and maintain deployed models, addressing drift, performance, and scalability issues
• Translate business problems into applied AI solutions in collaboration with product and engineering stakeholders
• Contribute to internal best practice around MLOps, model versioning, and responsible AI use
• Stay current with emerging techniques, tools, and frameworks in the AI/ML space

Essential Skills & Experience

• 2-4 years' experience in a machine learning, AI engineering, or applied data science role
• Strong Python skills, with experience in ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn)
• Experience deploying models to production (cloud platforms such as Azure, AWS, or GCP)
• Understanding of MLOps practices - CI/CD for ML, model monitoring, versioning
• Familiarity with LLMs and generative AI tooling (OpenAI/Anthropic APIs, LangChain, vector databases, etc.)
• Solid grounding in statistics and core ML concepts
• Strong communication skills, able to explain technical concepts to non-technical stakeholders

Desirable

• Experience with NLP or computer vision specialisms
• Exposure to containerisation/orchestration (Docker, Kubernetes)
• Relevant academic background (MSc/PhD in a quantitative field) or equivalent commercial experience
• Experience working in a regulated or data-sensitive industry

What's on Offer

• Competitive salary + benefits package
• Hybrid working
• Genuine involvement in production AI systems, not just experimentation
• Structured career progression and training support