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

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

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

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

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