At a Glance
- Tasks: Lead the design and implementation of cutting-edge AI solutions that transform businesses.
- Company: Join DXC Technology, a Fortune 500 leader in global IT services.
- Benefits: Enjoy competitive salary, flexible work options, and a culture that values innovation.
- Why this job: Make a real impact by developing advanced AI models and frameworks.
- Qualifications: Master’s or PhD in relevant fields with strong programming skills.
- Other info: Collaborative environment with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
DXC Technology is a Fortune 500 Global IT Services Leader. Our more than 130,000 people in 70-plus countries are entrusted by our customers to deliver what matters most. We use the power of technology to deliver mission critical IT services that transform global businesses.
We inspire and take care of our people. Work in a culture that encourages innovation and where brilliant people embrace change and seize opportunities to advance their careers and amplify customer success. Leverage technology skills and deep industry knowledge to help clients. Work on transformation programs that modernize operations and drive innovation across our customer’s entire IT estate using the latest technologies in cloud, applications, security, IT Outsourcing, business process outsourcing and modern workplace.
Key Responsibilities:
- AI Strategy & Leadership: Lead the end-to-end development of advanced AI models and frameworks, aligning AI initiatives with business goals. Provide technical leadership to data science and engineering teams, and set strategic direction for AI projects.
- Architectural Design: Design and oversee the integration of AI components such as LLMs, transformer architectures, retrieval-augmented generation (RAG) workflows, and vector databases into scalable solutions. Establish standards for model architecture and pipeline optimisation to ensure robustness and efficiency.
- Evaluation & Safety: Define and enforce rigorous evaluation protocols for AI models, including performance metrics, validation techniques, and safety checks. Ensure all AI systems meet reliability standards, ethical guidelines, and regulatory requirements for responsible AI usage.
- MLOps & Deployment: Guide the development of MLOps pipelines for continuous training, testing, and deployment of models in cloud environments. Oversee infrastructure decisions to guarantee that AI services are scalable, secure, and maintainable in production.
Required Qualifications:
- Educational Background: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning or a related field. Strong theoretical foundation in machine learning, deep learning, and AI system design.
- Technical Expertise: Expert-level proficiency in programming (e.g. Python) and ML frameworks (such as TensorFlow or PyTorch). In-depth knowledge of modern AI techniques including natural language processing, transformer networks, reinforcement learning, and data engineering for AI.
- AI/ML Tools: Extensive experience with AI and MLOps toolchains – from model development and version control to continuous integration and automated deployment.
- Analytical Skills: Exceptional problem-solving abilities and mathematical skills to innovate and troubleshoot complex AI modelling challenges.
Desired Experience:
- LLMs & Transformers: Proven track record of developing, fine-tuning, or deploying large-scale language models and transformer-based architectures in real-world applications.
- RAG & Vector Databases: Hands-on experience implementing retrieval-augmented generation techniques and using vector databases to integrate external knowledge or context into AI models.
- Agent Systems: Background in building or utilising intelligent agents or multi-agent systems for automated decision-making.
- AI at Scale: Experience deploying AI solutions in cloud or distributed environments at scale. Comfortable optimising models for production, monitoring their performance, and iterating based on results.
- Stakeholder Collaboration: History of working closely with cross-functional teams to drive AI projects from concept to completion.
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritises in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
ML/AI Architect in London employer: GBA5 EntServ UK Limited
Contact Detail:
GBA5 EntServ UK Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML/AI Architect in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, models, or any relevant work. This gives you a chance to demonstrate your expertise beyond just a CV and makes you stand out in interviews.
✨Tip Number 3
Prepare for those interviews! Research common questions for ML/AI Architect roles and practice your responses. Be ready to discuss your past projects and how they align with the company's goals—especially at DXC!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining DXC Technology and being part of our innovative culture.
We think you need these skills to ace ML/AI Architect in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the ML/AI Architect role. Highlight your relevant experience with AI models, programming skills, and any leadership roles you've had in past projects. We want to see how you align with our mission at DXC!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Mention specific programming languages, frameworks, and tools you’ve used, like Python or TensorFlow. We’re looking for someone who can hit the ground running, so let us know what you bring to the table.
Highlight Collaboration Experience: Since we value teamwork, share examples of how you've worked with cross-functional teams in the past. Whether it’s collaborating with product managers or data engineers, we want to see how you’ve driven AI projects from concept to completion.
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, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at GBA5 EntServ UK Limited
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies and frameworks, especially those mentioned in the job description like LLMs and transformers. Be ready to discuss your hands-on experience with these tools and how you've applied them in real-world scenarios.
✨Showcase Your Leadership Skills
As a Senior ML/AI Architect, you'll need to demonstrate your ability to lead teams and projects. Prepare examples of how you've guided data science or engineering teams in the past, focusing on your strategic direction and decision-making processes.
✨Prepare for Technical Questions
Expect in-depth technical questions about AI model evaluation, MLOps pipelines, and architectural design. Brush up on your programming skills, particularly in Python, and be ready to explain your thought process when solving complex AI challenges.
✨Emphasise Collaboration
Highlight your experience working with cross-functional teams. Be prepared to discuss how you've gathered requirements and managed feedback cycles in previous projects, as collaboration is key in driving AI initiatives from concept to completion.