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- Tasks: Architect and develop cutting-edge AI products that transform enterprise data and enhance user experience.
- Company: Join Workday, a leader in AI technology with a focus on innovation and collaboration.
- Benefits: Competitive salary, bonus potential, stock grants, and opportunities for professional growth.
- Other info: Dynamic team environment with mentorship opportunities and career advancement.
- Why this job: Be at the forefront of AI transformation and make a significant impact in the tech industry.
- Qualifications: 3+ years in ML systems, strong Python skills, and advanced degree or research portfolio.
Join the AI Platform team at Workday, a leading AI platform for managing people, money, and agents. This role focuses on the Agent Evaluation Platform, the 'Ground Truth' engine for Workday's AI transformation, and Information Retrieval products that bridge human language, search, and enterprise data. You will develop next-generation collaborative products and work with exclusive, high-integrity enterprise datasets.
Responsibilities:
- Architecting Agentic AI
- Driving Meta-ML and optimization
- Advancing information retrieval
- Scaling evaluation and observability
- Leading the ML lifecycle
- Defining strategic roadmaps
Qualifications:
- 3+ years of experience researching, developing, and deploying production-grade ML systems (deep learning, NLP, IR, recommender systems) using PyTorch or TensorFlow
- Proven track record of building and evaluating NLP and LLM-powered products (RAG, agentic frameworks, long-context LLM applications)
- 2+ years of Python experience with a focus on modular library design, asynchronous patterns, and scalable system architecture
- Advanced degree (Master's or Ph.D.) in a quantitative field or strong portfolio of peer-reviewed research publications
- Proficiency in techniques like DSPy, Reinforcement Learning, imitation learning, graph neural networks, multi-modal models, and large-scale data processing
- Experience in A/B testing, Knowledge Graphs, and 'Golden Dataset' curation
- Proficiency in large-scale data processing (PySpark, SQL)
- Hands-on experience with the full ML lifecycle, including model fine-tuning, evaluation frameworks, and cloud-native deployment
- Demonstrated ability to lead cross-functional teams and mentor junior engineers
Compensation:
Primary Location Base Pay Range: $160,000 USD - $240,000 USD. Additional US Location(s) Base Pay Range: $136,200 USD - $240,000 USD. Potential eligibility for Workday Bonus Plan or role-specific bonus, and annual refresh stock grants.
Machine Learning Engineer III in Manchester employer: ChatGPT Jobs
Contact Detail:
ChatGPT Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer III in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects. Practising common ML interview questions can really help you stand out.
✨Tip Number 3
Showcase your work! Create a portfolio that highlights your best projects, especially those involving NLP and deep learning. This gives potential employers a taste of what you can do.
✨Tip Number 4
Apply through our website! We love seeing applications come directly from candidates who are excited about joining us. Plus, it makes it easier for us to track your application and get back to you quickly.
We think you need these skills to ace Machine Learning Engineer III in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with ML systems, especially in deep learning and NLP, and don’t forget to mention any relevant projects or publications!
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 your skills align with the responsibilities of the role. Be sure to mention your experience with PyTorch or TensorFlow.
Showcase Your Projects: If you've worked on any cool ML projects, make sure to include them! Whether it's a personal project or something from your previous job, showcasing your hands-on experience can really set you apart.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly!
How to prepare for a job interview at ChatGPT Jobs
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around deep learning, NLP, and information retrieval. Be ready to discuss your experience with PyTorch or TensorFlow, and have examples of your past projects at the tip of your tongue.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some real-world problems during the interview. Think about how you would architect an Agentic AI system or optimise a model. Practising these scenarios can help you demonstrate your thought process and technical skills effectively.
✨Talk About Teamwork
Since this role involves leading cross-functional teams, be ready to share experiences where you've collaborated with others. Highlight any mentoring you've done or how you've driven projects forward with team input. This shows you're not just a tech whiz but also a great team player.
✨Ask Smart Questions
Prepare insightful questions about the company's AI transformation and the specific challenges they face in the Agent Evaluation Platform. This shows your genuine interest in the role and helps you understand if it's the right fit for you.