Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy cutting-edge machine learning models for AI systems.
- Company: Join Digital Futures, a pioneering tech services company focused on AI innovation.
- Benefits: Enjoy tailored professional development, competitive salary, and flexible holiday allowance.
- Why this job: Make a real impact in the AI field while working with diverse teams.
- Qualifications: 4+ years in tech/data, strong leadership, and ML expertise required.
- Other info: Hybrid working model with a focus on diversity and inclusion.
The predicted salary is between 30000 - 50000 ÂŁ per year.
Digital Futures is undertaking a planned recruitment programme to strengthen how we design, build and scale AI systems for major private and public sector organisations in the UK. We are making multiple appointments across engineering, product, data, architecture, assurance and security to meet confirmed demand and deepen our delivery capacity.
Overview
Move AI from exploration to production. We deliver agentic automation, AIâassisted decisioning, GenAI platforms and the data foundations that make them resilient, governable and costâeffective.
Responsibilities
- Design, optimise and deploy machine learning models powering AI agents and intelligent systems.
- Develop ML models using libraries such as Scikitâlearn, Hugging Face and LangChain.
- Lead model training, tuning and deployment activities.
- Implement MLOps pipelines enabling continuous integration and delivery of ML models.
- Collaborate with crossâfunctional teams for integration and system enhancements.
- Research and prototype emerging ML techniques.
- Mentor and share knowledge actively.
All candidates must have the right to work in the UK and will be expected to work from the office 4âdays a week.
Requirements
- 4+ years of experience working within technology and/or data.
- Stakeholder management.
- Strong team leadership and management skills.
- Experience with machine learning theory and applications, NLP, generative AI, Python, ML frameworks, MLOps, innovation and collaboration.
Benefits
- Tailored professional development plan and upskilling.
- Ability to make an impact at Digital Futures during accelerated growth.
- Access to employee benefits, discounts and perks platform.
- Pension contributions.
- Wellbeing budget.
- Competitive salary.
- Flexible holiday allowance after successful completion of probation.
- Hybrid working model with required office working days.
About Digital Futures
We are a new breed of technology services company, built for the age of AI. We partner with leading enterprises and governments to reimagine workforce strategy, combining three integrated services: Build â Our Future Talent programme identifies, trains, and deploys the next generation of diverse technology and AI professionals; Deliver â Our Expert Teams accelerate delivery and transfer knowledge in missionâcritical environments; Transform â Our Workforce Upskilling solution benchmarks capability and equips employees to harness AI and emerging technologies with confidence.
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 ML Engineer in London employer: Digital Futures
Contact Detail:
Digital Futures Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land AI ML Engineer in London
â¨Network Like a Pro
Get out there and connect with people in the AI and ML space! Attend meetups, webinars, or industry events. You never know who might be looking for someone just like you!
â¨Show Off Your Skills
Create a portfolio showcasing your projects and contributions to ML models. Share your GitHub or any relevant work during interviews to demonstrate your hands-on experience.
â¨Ace the Interview
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common interview questions and be ready to discuss your past projects in detail.
â¨Apply Through Our Website
Donât forget to apply directly through our website! Itâs the best way to ensure your application gets noticed and shows your enthusiasm for joining Digital Futures.
We think you need these skills to ace AI ML Engineer in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the AI ML Engineer role. Highlight your experience with machine learning models, MLOps, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our mission at Digital Futures. Keep it engaging and personal â we love to see your personality come through.
Showcase Your Projects: If you've worked on any cool projects or have experience with libraries like Scikit-learn or Hugging Face, make sure to mention them! Weâre keen to see practical examples of your work and how youâve applied your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way to ensure your application gets into the right hands. Plus, youâll find all the details about the role and our company culture there!
How to prepare for a job interview at Digital Futures
â¨Know Your ML Stuff
Make sure you brush up on your machine learning theories and applications. Be ready to discuss your experience with libraries like Scikit-learn, Hugging Face, and LangChain. Theyâll want to see how youâve applied these in real-world scenarios, so have some examples up your sleeve!
â¨Showcase Your Collaboration Skills
Since the role involves working with cross-functional teams, be prepared to talk about your past experiences in team settings. Highlight any projects where you collaborated with others, especially in integrating systems or enhancing models. This will show that you can work well with different stakeholders.
â¨Demonstrate Your Leadership
With a focus on team leadership and management, think of instances where youâve led a project or mentored others. Share specific outcomes from your leadership that had a positive impact on your team or project. This will help them see you as a potential leader in their organisation.
â¨Ask Smart Questions
Prepare thoughtful questions about their AI systems and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, itâs a great way to demonstrate your knowledge about the industry and the companyâs position in it.
