AI Engineer
Role details
Job location
Tech stack
Job description
Own and drive Akixi's AI and ML strategy - from concept and architecture through hands-on prototyping and deployment - to embed intelligence into Akixi's products and analytics platforms.
As the AI Engineering Lead, you will define and execute Akixi's AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You'll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi's AI initiatives deliver tangible business and customer outcomes.
Key Responsibilities
- Lead the definition and delivery of Akixi's AI strategy and technology roadmap.
- Architect scalable AI solutions integrated into Akixi's SaaS analytics platform.
- Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics.
- Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour.
- Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies.
- Collaborate with Product Management to scope AI features and align them with business goals.
- Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines.
- Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components.
- Establish standards for AI code quality, ethics, and data governance.
- Mentor engineers working on AI-related projects, fostering technical excellence and innovation.
- Evaluate external AI vendors, tools, and frameworks for adoption or integration.
- Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi., Senior AI/ML Engineer - Chester (2 days onsite a week) I'm working with a well-established, values-led organisation operating at scale across the travel and leisure sector. They are investing heavily in AI and data, and are now looking to hire a Senior AI/ML Engineer to..., Job Summary We are seeking a skilled and dedicated Air Conditioning Engineer to join our team. The successful candidate will be responsible for installing, maintaining, and repairing air conditioning systems across various sites across the UK. This position involves..., Why join? If you're an engineer who wants true ownership, visibility, and the chance to shape how agentic systems transform profitability in an analogous sector, this is the role for you. You won't be a small cog in a big machine(team of 7) - you'll be helping to define..., Job Title: Lead Electrical Design Engineer Location: Remote Sector: Energy / EV Infrastructure / Renewable Power Type: Permanent Company Overview Our client is a leading developer of advanced energy infrastructure projects, delivering large-scale grid connections,...
Data & AI Project Delivery - Scaling AI Consultancy - remote
Milburn Lewis
Our client is an award-winning, pure-play data consultancy, and one of the fastest growing companies in its sector. They help clients get data right, by providing expertise across data strategy, data science, data engineering and BI etc. They do this across a range of...
Requirements
- 7+ years in software engineering, with at least 3+ years focused on AI/ML or data-driven product development.
- Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics.
- Strong proficiency in Python (preferred) and/or JavaScript/TypeScript.
- Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock).
- Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms.
- Deep understanding of prompt engineering and fine-tuning of large language models.
- Strong grounding in ML concepts - supervised, unsupervised, and reinforcement learning.
- Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI).
- Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS).
- Ability to design data pipelines, APIs, and microservice integrations supporting AI features.
- Excellent problem-solving, communication, and cross-team collaboration skills.
- Proven ability to lead technically while remaining hands-on in design and coding.
Desirable Skills & Experience
- Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (BroadWorks, Webex Calling).
- Knowledge of data governance, model ethics, and MLOps practices.
- Exposure to data visualization and predictive analytics for customer-experience metrics.
- Advanced degree in AI, ML, Data Science, or related discipline.
- ISTQB AI Testing or equivalent certification., iO Sphere | London preferred, UK-wide considered | Hybrid | Full-time or part-time You've built expertise in data analytics, data governance, or business analysis. You've solved real problems, navigated ambiguity, and know what good looks like in your field. Now you want...