AI Engineer
Role details
Job location
Tech stack
Job description
We're looking for a passionate AI Engineer to design, build, and deploy intelligent solutions that solve real business challenges. You'll apply expertise in machine learning and prompt engineering to create scalable systems that deliver measurable impact. This role blends hands-on technical delivery with cross-team collaboration, giving you the opportunity to shape how AI is applied across the organisation and ensure innovation leads to meaningful results., * Model Selection: Evaluate, compare, and recommend AI models that fit business problems, ensuring compliance and ethical standards.
- Design: Develop and optimise prompts, experiment with structures, and build scalable frameworks to ensure accuracy and fairness.
- Engineering: Build prompt libraries, develop automation tools, and optimise performance across platforms.
- Implementation: Monitor deployed solutions, refine based on feedback, and embed AI into customer-facing applications.
- Data Handling: Analyse training data, ensure governance and privacy compliance, and identify gaps in data quality.
- Integration: Collaborate with automation engineers and product teams to embed AI into workflows and validate outputs.
- Documentation & Collaboration: Maintain AI asset records, document processes, and engage stakeholders to refine solutions.
- Quality Assurance & Compliance: Test rigorously, develop evaluation metrics, mitigate risks, and ensure adherence to standards (ISO27001, CE+)., Promote accessibility and inclusion Ensure inclusive recruitment and development Share best practice across the industry Continue to lead the way in supporting disabled people at work.
Requirements
Do you have experience in Relationship management?, Do you have a Master's degree?, Essential:
- Proficiency in Python or JavaScript.
- Familiarity with large language models (e.g., GPT, LLaMA, Meta).
- Experience in prompt engineering and tuning.
- Strong analytical and problem-solving skills.
- Excellent communication skills across technical and non-technical teams.
- Competence in preparing datasets for AI use.
- Ability to recognise and mitigate model hallucinations.
- Experience deploying AI solutions in cloud environments.
- Awareness of emerging trends in generative AI.
- Strong stakeholder and relationship management skills.
Desirable:
- Experience with CI/CD pipelines and MLOps.
- Background in Healthcare or Legal AI applications.
- Ability to present AI metrics via dashboards or reporting tools.
- Experience embedding AI into user-facing applications.
- Experience managing and coaching AI teams.
- Familiarity with agile delivery and product lifecycles.
Qualifications
- Required: Strong background in Computer Science, Data Science, or related fields.
- Desirable: Degree or Master's in AI, Computer Science, Data Science, or related field.