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 work model with 4 days in the office and excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ 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, AI‑assisted decisioning, GenAI platforms and the data foundations that make them resilient, governable and cost‑effective.
Responsibilities
- Design, optimise and deploy machine learning models powering AI agents and intelligent systems.
- Develop ML models using libraries such as Scikit‑learn, Hugging Face and LangChain.
- Lead model training, tuning and deployment activities.
- Implement MLOps pipelines enabling continuous integration and delivery of ML models.
- Collaborate with cross‑functional 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 4‑days 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 – Our Future Talent programme identifies, trains, and deploys the next generation of diverse technology and AI professionals; Deliver – Our Expert Teams accelerate delivery and transfer knowledge in mission‑critical environments; Transform – 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\’re 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.
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AI ML Engineer employer: Digital Futures
Contact Detail:
Digital Futures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI ML Engineer
✨Network Like a Pro
Get out there and connect with folks in the AI and ML space! Attend meetups, webinars, or even just grab a coffee with someone in the industry. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your projects and contributions in AI and ML. Whether it’s GitHub repos or a personal website, let your work speak for itself. This is your chance to shine and demonstrate what you can bring to the table!
✨Ace the Interview
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common interview questions and maybe even do mock interviews with friends. Confidence is key, so show them you know your stuff!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about joining our team at Digital Futures.
We think you need these skills to ace AI ML Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI ML Engineer role. Highlight your experience with machine learning models, Python, and MLOps. 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! Share your passion for AI and how you can contribute to our mission at Digital Futures. Be genuine and let us know why you're excited about this opportunity.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's a personal project or something from your previous job, we love seeing practical applications of your skills in action.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team at Digital Futures!
How to prepare for a job interview at Digital Futures
✨Know Your ML Models
Make sure you brush up on your knowledge of machine learning models, especially those you've worked with like Scikit-learn and Hugging Face. Be ready to discuss specific projects where you designed, optimised, or deployed these models, as this will show your hands-on experience.
✨Showcase Your MLOps Knowledge
Since the role involves implementing MLOps pipelines, be prepared to explain your understanding of continuous integration and delivery for ML models. Share examples of how you've successfully integrated these practices in past projects to demonstrate your expertise.
✨Collaboration is Key
Digital Futures values teamwork, so highlight your experience working with cross-functional teams. Prepare anecdotes that showcase your ability to collaborate effectively, mentor others, and share knowledge, as this will resonate well with the interviewers.
✨Stay Updated on Emerging Techniques
Research the latest trends and techniques in machine learning and AI, especially generative AI. Being able to discuss recent advancements or your own prototypes will show your passion for innovation and your commitment to staying ahead in the field.