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- Tasks: Lead AI/ML projects and shape the future of data consulting.
- Company: Join GlobalLogic, a trusted digital engineering partner with a culture of caring.
- Benefits: Enjoy continuous learning, meaningful work, and a flexible work-life balance.
- Why this job: Make an impact in AI/ML while collaborating with innovative teams.
- Qualifications: 5+ years in AI/ML consulting and strong communication skills required.
- Other info: Be part of a high-trust organisation that values integrity and innovation.
The predicted salary is between 48000 - 72000 £ per year.
You will be part of a collaborative, entrepreneurial environment that values innovation, excellence, and thought leadership. This is your opportunity to shape the future of data & AI consulting and lead from the front as businesses navigate the next wave of intelligent transformation. If you are ready to bring bold ideas to life and influence how data & AI transforms industries – we would love to hear from you.
We are seeking an experienced AI/ML Consultant to deliver across our Intelligent Engineering portfolio. This is a high-impact role at the intersection of technology, consulting, and innovation – shaping and scaling our Data & AI offerings across four transformative domains:
- Data Platforms
- Data & ML Operations
- Generative & Agentic AI
You will partner with Sales and GTM teams and Delivery colleagues to support the design of winning proposals and deliver the resulting outcomes. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead at the forefront of data & AI innovation during a period of exciting expansion for GlobalLogic.
What You Will Bring
- 5+ years of consulting and/or delivery experience in data & AI, ideally within professional services or a high-growth tech environment.
- A successful track record of developing and closing £M+ data & AI deals with business stakeholders.
- Strong expertise in AI/ML market offerings and related solutions (Gen AI, Agentic AI, ML Ops, Model Ops) as well as one or more other core technology areas – such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering.
- Experience co-delivering partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks).
- Outstanding communication skills – able to translate complex ideas for both technical and business audiences.
- Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing to whitepapers, mentoring, and publishing technical insights.
- A global mindset, with experience working across geographies including India, Eastern Europe, and North America.
Job Responsibilities
- Serve as the technical authority and hands-on leader for complex AI/ML implementation projects.
- Design, build, and optimize end-to-end MLOps pipelines, ensuring reliability, scalability, and maintainability of ML models in production.
- Drive the technical strategy and adoption of Generative AI and Agentic AI technologies for client solutions.
- Collaborate closely with Data Architects, Data Scientists, and Product Managers to define technical roadmaps and implementation standards.
- Champion best practices in software engineering, security, and data governance within AI/ML projects.
- Provide mentorship and technical guidance to senior and mid-level engineers.
- Act as a key liaison with technology partners, ensuring optimal integration and utilization of partner solutions.
What We Offer
- Culture of caring: At GlobalLogic, we prioritise a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you will experience an inclusive culture of acceptance and belonging, where you will have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders.
- Learning and development: We are committed to your continuous learning and development. You will learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic.
- Interesting & meaningful work: GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you will have the chance to work on projects that matter.
- Balance and flexibility: We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life.
- High-trust organization: We are a high-trust organization where integrity is key. By joining GlobalLogic, you are placing your trust in a safe, reliable, and ethical global company.
About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we have been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences.
Principal AI/ML Engineer IRC287096 in London employer: GlobalLogic
Contact Detail:
GlobalLogic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal AI/ML Engineer IRC287096 in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI/ML space. Attend meetups, webinars, or industry events where you can chat with potential employers and showcase your expertise.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best projects and achievements in AI/ML. This is your chance to demonstrate how you can bring bold ideas to life and influence the industry.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Be ready to explain complex AI/ML concepts in simple terms, as you'll need to impress both technical and business audiences.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Principal AI/ML Engineer IRC287096 in London
Some tips for your application 🫡
Show Your Passion for AI/ML: When writing your application, let your enthusiasm for AI and ML shine through! Share specific examples of projects you've worked on or innovations you've contributed to. We want to see how you can bring bold ideas to life!
Tailor Your Application: Make sure to customise your application to highlight your experience in data and AI consulting. Use keywords from the job description to demonstrate that you understand what we're looking for. This helps us see how you fit into our collaborative environment.
Be Clear and Concise: While we love a good story, keep your application clear and to the point. Use straightforward language to explain your skills and experiences. Remember, we want to understand your expertise without getting lost in jargon!
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at GlobalLogic
✨Know Your AI/ML Stuff
Make sure you brush up on the latest trends and technologies in AI and ML. Be ready to discuss your experience with Generative AI, Agentic AI, and MLOps pipelines. This role is all about innovation, so showing that you're on top of the latest developments will impress the interviewers.
✨Showcase Your Consulting Experience
Prepare to talk about your past consulting roles and how you've successfully closed significant data and AI deals. Use specific examples to illustrate your impact and how you collaborated with stakeholders. This will demonstrate your ability to lead and influence in a high-stakes environment.
✨Communicate Clearly
Since this role requires translating complex ideas for both technical and business audiences, practice explaining your projects in simple terms. Think about how you can convey your thought leadership in AI/ML without getting too technical. Clear communication is key!
✨Emphasise Collaboration
This position involves working closely with various teams, so be prepared to discuss how you've successfully collaborated in the past. Highlight any experiences where you partnered with Data Architects, Data Scientists, or technology partners. Show that you value teamwork and can drive results together.
