At a Glance
- Tasks: Lead the design and operation of cutting-edge AI solutions for clients.
- Company: Join Digital Futures, a rapidly growing tech company focused on innovation.
- Benefits: Enjoy competitive salary, tailored development plans, and a hybrid working model.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Make a real impact in AI while shaping the future of technology.
- Qualifications: Extensive experience in AI/ML systems and strong software engineering skills required.
The predicted salary is between 80000 - 100000 € per year.
Digital Futures is seeking an AI Engineering Lead who will be responsible for leading the design, build and operation of production‑grade AI solutions for clients, ensuring they are robust, scalable and secure across cloud and data platforms. The role provides technical leadership to AI and data engineers and sets engineering standards for AI delivery.
Key responsibilities
- Lead end‑to‑end engineering of AI products and platforms (including LLM, ML and automation use cases) from discovery through to production and ongoing optimisation.
- Define and own engineering standards, patterns and best practices for AI services, APIs, data pipelines and MLOps across cloud environments.
- Provide hands‑on technical direction to AI Engineers, ML Engineers and Data Engineers, including code reviews, solution design and troubleshooting.
- Collaborate with architects, product owners and client stakeholders to translate business requirements into scalable technical designs.
- Ensure solutions meet non‑functional requirements including performance, reliability, observability, security and cost‑effectiveness.
- Champion continuous improvement of engineering practices, tooling and automation within and across Expert Teams.
Skills & experience
- Extensive experience delivering AI/ML or data‑intensive systems into production in a consulting, product or enterprise environment.
- Strong software engineering background (e.g. Python, Java, or similar) with experience of modern development practices (CI/CD, testing, DevOps, Git‑based workflows).
- Hands‑on experience with major cloud and data platforms (e.g. AWS, GCP, Azure, Databricks, Snowflake) and associated AI/ML services.
- Familiarity with modern AI tooling (LLM frameworks, vector databases, orchestration/agent frameworks, MLOps tooling).
- Proven track record of leading technical teams, mentoring engineers and influencing technical decisions.
- Understanding of security, data privacy and responsible AI considerations in production systems.
Behaviours & mindset
- Acts as a builder who takes ownership of outcomes, not just code.
- Communicates clearly with both technical and non‑technical stakeholders.
- Enjoys mentoring others and raising the overall bar for engineering quality.
- Pragmatic and delivery‑focused, able to balance ideal architecture with real‑world constraints.
- Curious about emerging AI technologies and keen to experiment and learn.
What's in it for you?
- Tailored professional development plan and upskilling
- Ability to make an impact at Digital Futures while it is in a period of accelerated growth
- Access to our employee benefits, discounts and perks platform
- Pension contributions
- Wellbeing budget
- Competitive salary
- Hybrid working model with required office working days
AI Engineering Lead in London employer: Digital Futures
Digital Futures is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to lead the charge in AI engineering. With a strong focus on professional development, competitive salaries, and a hybrid working model, team members can enjoy a balanced work-life while contributing to impactful projects during a period of rapid growth. The culture fosters collaboration and continuous improvement, ensuring that every employee has the opportunity to grow and make a meaningful difference in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineering Lead in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to AI engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your experience and skills.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. We love seeing hands-on experience, especially with AI solutions, so make sure to highlight your best projects when chatting with potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who want to make an impact in the AI space.
We think you need these skills to ace AI Engineering Lead in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and engineering shine through. We want to see how excited you are about leading AI projects and making a real impact in the field!
Tailor Your Experience:Make sure to highlight your relevant experience with AI/ML systems and cloud platforms. We’re looking for specific examples that demonstrate your skills and how they align with the role of AI Engineering Lead.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to communicate your ideas and experiences, as we value effective communication with both technical and non-technical stakeholders.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity at Digital Futures.
How to prepare for a job interview at Digital Futures
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and ML systems, especially those relevant to the job. Be ready to discuss your experience with cloud platforms like AWS or Azure, and how you've implemented AI solutions in the past.
✨Showcase Your Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've successfully mentored engineers or influenced technical decisions. Highlight your ability to communicate effectively with both technical and non-technical stakeholders.
✨Understand the Business Side
Familiarise yourself with how AI solutions can drive business outcomes. Be ready to discuss how you've translated business requirements into technical designs and how you ensure that solutions meet performance and security standards.
✨Emphasise Continuous Improvement
Demonstrate your commitment to improving engineering practices. Talk about any tools or methodologies you've introduced in previous roles that have enhanced productivity or quality, and show your enthusiasm for learning about emerging AI technologies.
