Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop cutting-edge AI models to automate workflows and provide insights.
- Company: Join Digital Futures, a pioneering tech services company in the AI space.
- Benefits: Enjoy tailored professional development, competitive salary, and flexible holiday allowance.
- Why this job: Make a real impact in a fast-growing company at the forefront of AI technology.
- Qualifications: 4+ years in tech/data, strong Python skills, and experience with AI/ML frameworks.
- Other info: Hybrid working model with a focus on diversity and inclusion.
The predicted salary is between 30000 - 50000 £ per year.
Digital Futures is a new breed of technology services company building advanced AI systems for private and public sector organisations across the UK. The AI Engineer role will design, develop, and deploy AI models and intelligent systems that automate workflows and provide actionable insights for global clients.
Key Responsibilities
- Build, evaluate, and maintain AI and machine learning models using Python and frameworks such as TensorFlow, PyTorch, and Scikit‐learn.
- Develop and optimise ETL pipelines for large‐scale, high‐quality data ingestion and transformation.
- Deploy models as cloud‐based APIs or microservices on AWS, Azure, or Google Cloud Platform.
- Monitor models for performance degradation and implement retraining workflows.
- Ensure transparency, fairness, and compliance of AI solutions with relevant ethical and data privacy standards.
- Write clear documentation and share best practices across teams.
- Mentor peers and contribute to a culture fostering innovation and continuous learning.
Requirements
- 4+ years experience working within technology and/or data.
- Strong stakeholder management and stakeholder engagement skills.
- Strong team leadership and management skills.
- Experience with Python programming, AI/ML frameworks, cloud platform proficiency, container orchestration (Docker/Kubernetes), machine learning algorithms (supervised, unsupervised, deep reinforcement), data engineering tools (Spark, Databricks), AI ethics and bias mitigation, familiarity with NLP, computer vision, generative AI, and MLOps pipelines.
Benefits
- Tailored professional development plan and ups‐killing.
- Ability to make an impact while Digital Futures is experiencing accelerated growth.
- Access to employee benefits, discounts and perks platform.
- Pension contributions.
- Wellbeing budget.
- Competitive salary.
- Flexible holiday allowance on successful completion of probation.
- Hybrid working model with required office working days.
All candidates must have the right to work in the UK and will be expected to work from the office 4‐days a week.
Digital Futures is an equal opportunity employer, and we are proud of our ongoing efforts to foster diversity and inclusion in the workplace. Individuals seeking employment at Digital Futures are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.
By submitting your application, you agree that Digital Futures may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
AI Engineer in London employer: Digital Futures
Contact Detail:
Digital Futures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Digital Futures. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your AI projects or GitHub repositories. This gives potential employers a tangible look at what you can do, especially with Python and machine learning frameworks.
✨Ace the Interview
Prepare for those interviews by brushing up on common AI engineering questions and scenarios. Practice explaining your thought process when solving problems, and don’t forget to highlight your teamwork and leadership skills!
✨Apply Through Our Website
Make sure to apply directly through the Digital Futures website. It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with Python, AI/ML frameworks, and cloud platforms. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include any relevant projects you've worked on, especially those involving AI models or data engineering. This gives us a glimpse of your hands-on experience and creativity in action.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it's necessary. Make it easy for us to see your strengths!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Digital Futures
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the AI/ML frameworks mentioned in the job description, like TensorFlow and PyTorch. Brush up on your knowledge of cloud platforms such as AWS or Azure, as you'll likely be asked about your experience deploying models as APIs.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific projects where you've built or optimised AI models. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and ability to tackle real-world problems.
✨Understand Ethical AI Practices
Since the role involves ensuring compliance with ethical standards, be prepared to talk about AI ethics and bias mitigation. Familiarise yourself with current best practices and be ready to share your thoughts on how to maintain fairness in AI solutions.
✨Engage with Stakeholders
Highlight your stakeholder management skills during the interview. Think of examples where you’ve successfully engaged with different teams or clients. This will show that you can communicate effectively and work collaboratively, which is crucial for this role.
