At a Glance
- Tasks: Lead AI projects, oversee engineering processes, and ensure high-quality tech solutions.
- Company: Enablis is a tech consultancy focused on delivering impactful digital solutions for clients.
- Benefits: Enjoy collaboration with top industry talent and access to a supportive professional network.
- Why this job: Make a real impact in the fast-evolving AI landscape while working in a dynamic team environment.
- Qualifications: Experience with AI/ML tools, modern tech stacks, and strong communication skills are essential.
- Other info: We value diversity and encourage applications from all qualified individuals.
The predicted salary is between 43200 - 72000 £ per year.
Enablis is a technology delivery consultancy that partners with clients to accelerate digital roadmaps. By combining our deep knowledge and best practice experience with the client’s domain expertise, we deliver technology solutions quickly, efficiently, and as stress-free as possible.
We keep things simple and have a ruthless, uncomplicated focus on how our customers can use technology to add value to their business. We avoid tricky or ambiguous jargon in our service offerings: we’re always there to collaborate with clients and use our experiences to shape and affect the delivery of their technology roadmaps positively.
We’re looking for passionate, talented tech experts who want to work on projects that matter. At Enablis, you’ll have the chance to collaborate with some of the most talented minds in the industry and create real impact. If you have the skills and ambition, we’ll open the door to incredible opportunities and introduce you to a network of equally driven, like-minded professionals.
The Technical Lead (AI) role is a fully customer-facing position which involves overseeing the architecture/design, engineering processes, and implementation for client projects. A Technical Lead is expected to maintain a high degree of familiarity with the latest developments across a broad set of technologies whilst also being an expert practitioner, capable of hands-on engineering in their favoured tools and languages.
As they are responsible for the overall quality of what we produce, they must be familiar with common architecture and design patterns for Cloud engineering, data management, and service layers. The Technical Lead (AI) is usually not only responsible for their own output but that of a wider engineering team. They must be able to create and shape an engineering ecosystem conducive to high-quality production, involving setting up the best ways of working (elaboration of requirements, pair programming, QA approaches) and utilising the best tooling (CI/CD, automation, developer environments).
Whilst the Technical Lead must be able to act largely independently, they benefit from participation in our central technical quality forums and communities which enable them to leverage the skills and experiences of a wider set of practitioners.
Key Skills
- Knowledge and experience of AI / ML tools and approaches.
- Ability to be the ‘first person on the ground’.
- Engage with the very fast-evolving AI landscape and technologies.
- Happy to work with 'classic' ML as much as the latest LLM developments.
- Wider experience developing modern tech stacks and cloud platforms.
- Capable of engineering in front-end languages and libraries e.g. React, Vue, Flutter.
- Proficiency in back-end languages e.g. C#, Java, Python, Node, Go.
- Broad experience across a variety of CI/CD and test automation tools.
- Strong working knowledge and the ability to embody agile principles.
- First-class people skills and emotional intelligence.
- Ability to cultivate strong stakeholder relationships.
- Good communication and teamwork skills.
- Willing to embrace complexity and uncertainty.
- An analytical mind and good attention to detail.
We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.
Contact Detail:
Enablis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Lead - AI
✨Tip Number 1
Familiarise yourself with the latest AI and ML tools, as well as classic machine learning approaches. Being able to discuss recent developments in the AI landscape during your conversations will show your passion and commitment to the field.
✨Tip Number 2
Demonstrate your hands-on engineering skills by sharing examples of projects where you've successfully implemented cloud solutions or worked with modern tech stacks. This will help you stand out as a candidate who can lead and inspire a team.
✨Tip Number 3
Prepare to discuss your experience with agile methodologies and how you've applied them in previous roles. Highlighting your ability to adapt and thrive in fast-paced environments will resonate well with the company's values.
✨Tip Number 4
Focus on showcasing your people skills and emotional intelligence. Be ready to share examples of how you've built strong stakeholder relationships and fostered collaboration within teams, as these are crucial for a Technical Lead role.
We think you need these skills to ace Technical Lead - AI
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Technical Lead - AI position. Familiarise yourself with the key skills mentioned in the job description, such as knowledge of AI/ML tools and experience with various programming languages.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your expertise in AI/ML, cloud platforms, and any leadership roles you've held. Use specific examples to demonstrate your impact in previous positions.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and your ability to lead engineering teams. Mention how your background aligns with Enablis's mission and values, and express your enthusiasm for collaborating with clients to deliver impactful solutions.
Showcase Your Projects: If applicable, include links to projects or portfolios that demonstrate your technical skills and leadership capabilities. Highlight any relevant work with AI/ML technologies, cloud engineering, or successful team collaborations to strengthen your application.
How to prepare for a job interview at Enablis
✨Showcase Your Technical Expertise
As a Technical Lead in AI, it's crucial to demonstrate your knowledge of AI and ML tools. Be prepared to discuss specific projects where you've applied these technologies, and highlight your familiarity with both classic ML and the latest developments in LLMs.
✨Emphasise Collaboration Skills
Since this role involves overseeing a wider engineering team, showcase your ability to foster collaboration. Share examples of how you've successfully led teams, set up effective working practices, and cultivated strong stakeholder relationships.
✨Demonstrate Problem-Solving Abilities
Be ready to discuss how you've tackled complex challenges in previous roles. Highlight your analytical mindset and attention to detail, as well as your approach to embracing uncertainty and complexity in tech projects.
✨Prepare for Technical Questions
Expect to face technical questions related to cloud engineering, data management, and service layers. Brush up on common architecture and design patterns, and be ready to explain your thought process when designing solutions.