Senior AI Engineer

Senior AI Engineer

Full-Time 60000 - 80000 £ / year (est.) On-site
D

At a Glance

  • Tasks: Lead the design and operation of cutting-edge AI solutions for diverse clients.
  • Company: Join Digital Futures, a forward-thinking company at the forefront of AI technology.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team focused on innovation and continuous improvement.
  • Why this job: Make a real impact by shaping the future of AI in a collaborative environment.
  • Qualifications: Proven experience in AI engineering and strong leadership skills.

The predicted salary is between 60000 - 80000 £ 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.

Senior AI Engineer employer: Digital Futures

Digital Futures is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Principal Data Scientist, you will have access to cutting-edge technology and the opportunity to lead impactful projects while mentoring a talented team. With a strong emphasis on professional development and a commitment to employee growth, Digital Futures provides a rewarding environment for those looking to make a meaningful impact in the field of data science.

D

Contact Details:

Digital Futures Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Engineer

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Digital Futures or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Digital Futures.

✨Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Digital Futures.

✨Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Digital Futures that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Senior AI Engineer

Python
Problem-Solving Skills
SQL
Data Engineering
Communication Skills
Data Pipeline Development
API Integration

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Digital Futures.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Digital Futures and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Digital Futures

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Digital Futures uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.