Role: Lead Applied AI Engineer
Contract Length: 6 months
Location: Hybrid/ London, Manchester, Bristol – 2-3 days per week in office required
IR35: Inside
Pay Rate to Intermediary: £700 - £750 per day
Security Clearance: SC requested
Spinwell is recruiting for a Lead Applied AI Engineer for an excellent opportunity within the public sector.
RESPONSIBILITIES OF THE LEAD APPLIED AI ENGINEER
- Ideating and developing one or more AI projects. These could be fully-fledged internal applications the incubator is building. Alternatively, they might be services we’re building for the government's biggest missions in collaboration with other departments, where we work closely with technical counterparts.
- Writing and reviewing code daily.
- Ensuring that the members of your technical team are delivering to the best of their ability, ensuring continued investment in the project and in their own skills.
- Collaborating with cross-functional teams and senior stakeholders to quickly understand customer needs and translate them into pragmatic technical solutions leveraging AI.
- Leading the design and establishment of frameworks, tools and processes to responsibly develop, deploy and monitor AI products.
- Evangelising best practices in applied AI across government.
- Highly focussed on solving problems and identifying the critical path to impact.
- Staying on top of the latest developments in AI, including new models and paradigms.
SKILLS/EXPERIENCE OF THE LEAD APPLIED AI ENGINEER
- Proficiency in Python.
- Strong software engineering skills with a focus on building production-ready systems
- An understanding of deploying and monitoring such systems in a cloud environment.
- Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers).
- Experience with natural language processing, deep learning and generative AI.
- Passion for building products that augment human capabilities and improves citizens’ lives.
- Have a humble attitude and an eagerness to help others with empathy
- Working in dynamic environments and navigating ambiguity, prioritising ruthlessly where necessary
- Experience of any of the following would be beneficial but not essential:
- Building AI agents, or products that rely on AI agents
- Developing and working with tools and interfaces for AI applications (e.g. Anthropic’s Model Context Protocol)
- Training traditional Machine Learning and Deep Learning models
- Experience delivering applications to production
- Hands-on experience with containerisation technologies such as Docker.
- Experience designing software services with respect to infrastructure, considering dependencies like databases and message queues, cloud environments, and pre-existing services with which yours must collaborate.
- Supporting and enabling technical teams via upskilling, mentoring and conflict resolution.
- Owning outcomes end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done to ensure your team succeeds
- Explaining complex technical concepts to both technical and non-technical audiences with clarity
- Proven ability to collaborate with “non-engineering” disciplines, such as design and user research, to plan and deliver work of provable value as part of a product team, including prioritising, breaking down and sequencing technical work to achieve the best possible outcomes.
- experience of a variety of methods to enable you to very quickly become a subject matter expert in the areas you are assigned to investigate
If you are a Lead Applied AI Engineer, apply now or send your CV to Spinwell!
We welcome all applications regardless of background, in line with our commitment to diversity, equality and inclusion.
Applying to this or any other vacancy advertised by Spinwell Ltd constitutes an agreement for Spinwell Ltd to hold your details for 24 months for the purpose of assessing suitability for the advertised position and to make you aware of any other positions deemed suitable of which You will make you aware by means of either email, text or phone. In line with GDPR regulations you are able to request your details be removed from the company data at any time by emailing us