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- Tasks: Lead a team in developing advanced AI solutions and oversee innovative software projects.
- Company: A leading global information provider with a focus on cutting-edge technology.
- Benefits: Competitive salary, hybrid work model, and continuous learning opportunities.
- Why this job: Make a real-world impact while mentoring the next generation of engineers.
- Qualifications: 7+ years of software development experience and strong leadership skills in agile environments.
- Other info: Join a high-performing team in a culture that values innovation and growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading global information provider is seeking a Manager, Research Engineering to lead a high-performing team in developing advanced AI solutions. You will oversee software projects, mentor engineers, and foster innovative practices in Machine Learning and Large Language Models.
The ideal candidate has over 7 years of software development experience, with significant leadership in agile environments. This hybrid role offers competitive benefits, a culture of continuous learning, and a chance to make a real-world impact.
Lead, Foundational ML Research Engineering in London employer: Refinitiv
Contact Detail:
Refinitiv Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead, Foundational ML Research Engineering in London
✨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
Show off your skills! Create a portfolio showcasing your projects, especially those related to Machine Learning and AI. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your leadership experience in agile environments.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to show your interest in joining our innovative team.
We think you need these skills to ace Lead, Foundational ML Research Engineering in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the job description. Highlight your leadership in agile environments and any relevant projects in AI or Machine Learning.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about leading a team in developing advanced AI solutions. Share specific examples of how you've mentored engineers and fostered innovation in your previous roles.
Showcase Your Technical Skills: Don’t forget to include your technical expertise in software development, especially in Machine Learning and Large Language Models. We want to see how your background makes you the perfect fit for this role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Refinitiv
✨Know Your ML Fundamentals
Brush up on your foundational knowledge of Machine Learning and Large Language Models. Be prepared to discuss key concepts, algorithms, and recent advancements in the field. This will show your depth of understanding and passion for the subject.
✨Showcase Your Leadership Experience
Since this role involves mentoring and leading a team, be ready to share specific examples of how you've successfully led projects or teams in the past. Highlight your experience in agile environments and how you foster collaboration and innovation among your peers.
✨Prepare for Technical Questions
Expect technical questions that assess your software development skills. Practice coding challenges or system design problems relevant to AI solutions. This will help you demonstrate your problem-solving abilities and technical expertise during the interview.
✨Emphasise Continuous Learning
This role values a culture of continuous learning, so be sure to discuss how you stay updated with industry trends and technologies. Share any courses, certifications, or personal projects that showcase your commitment to professional growth in the field of AI.