Digital Futures
AI ML Engineer
Digital FuturesUnited Kingdom1 day ago
Full-timeRemote FriendlyEngineering, Information Technology
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 to deepen our delivery capacity.

What we do

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.

How we work

  • Enterprise-grade delivery: cloud-native platforms, MLOps, security and responsible AI embedded from the outset.
  • Outcome accountability: clear success metrics, business adoption plans and post-go-live support.
  • Disciplined build: small, senior-lean teams with clear ownership and standards.

Professional development

Every joiner participates in Frontier AI - our structured development pathway that builds both domain knowledge and technical depth. Expect assessed learning, targeted certifications and progression based on contribution and impact.

Role Overview:

Design, optimise, and deploy machine learning models powering AI agents and intelligent systems. Innovate in NLP, generative AI, and MLOps to deliver robust, scalable AI solutions.

Key Responsibilities:

  • Develop ML models using libraries like Scikit-learn, Hugging Face, and LangChain.
  • Lead model training, tuning, and deployment activities.
  • Implement MLOps pipelines enabling continuous integration/delivery of ML models.
  • Collaborate with cross-functional teams for integration and system enhancements.
  • Research and prototype emergent ML techniques.
  • Mentor and share knowledge actively.

Requirements:

  • 4+ years experience working within technology and/or data
  • Stakeholder management
  • Strong team leadership and management skills
  • Experience with several of the following technologies, including: Machine learning theory and applications, NLP, generative AI, Python, ML frameworks, MLOps, innovation and collaboration skills.

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
  • 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.

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.

Our model is simple but powerful: all capability we build stays inside your organisation. The result is measurable impact, innovation accelerated, costs optimised and advantage secured.

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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