Manager, Research Engineering (Foundational Research)
Manager, Research Engineering (Foundational Research)

Manager, Research Engineering (Foundational Research)

Full-Time 36000 - 60000 £ / year (est.) No home office possible
Refinitiv

At a Glance

  • Tasks: Lead a dynamic team in cutting-edge AI research and development.
  • Company: Join Thomson Reuters, a leader in technology and innovation.
  • Benefits: Enjoy flexible work arrangements, competitive pay, and comprehensive health benefits.
  • Why this job: Make a real-world impact while advancing your career in AI and machine learning.
  • Qualifications: 7+ years in software development with team management experience required.
  • Other info: Embrace a culture of growth, innovation, and social impact.

The predicted salary is between 36000 - 60000 £ per year.

Join a cutting-edge research team working to deliver on the transformation promises of modern AI. We are seeking a Manager, Research Engineering with the skills and drive to manage a top performing Engineering team focused on developing the latest in LLM and Machine Learning capabilities.

Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs).

Our focus areas are:

  • LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques)
  • Post-training techniques for planning, reasoning & complex workflows (e.g., reasoning models, LLMs + knowledge graphs, test time compute, CoT pipelines, tool use & API calling, etc.)
  • Data-centric Machine Learning (Synthetic data, curriculum learning, learned data mixtures, etc.)
  • Evaluation (Benchmarking best practices, humans/LLMs as a judge, red teaming/adversarial testing, hallucination detection, etc.)

As Manager of Research Engineering, you are both a technical leader and a people manager. Key responsibilities include the technical direction of production services, close partnership with technology partners across the enterprise, and responsibility for the recruiting, career growth and mentorship of Foundational Research Engineers. Managers provide technical guidance on medium, yet complex projects in close collaboration with the research arm of Labs. This role also identifies and collaboratively advocates for the adoption of industry best practices around well-managed software delivery.

In this opportunity as Manager of Research Engineering, you will:

  • Foster a culture of innovation, growth, and continuous improvement
  • Own the delivery of business-critical features for high value, customer facing applications
  • Promote efficient collaboration between scientists and engineers on a project basis
  • Operate with urgency and manage change at a rapid pace
  • Coach engineering leads within the team

You’re a fit for the role of Manager of Research Engineering if your background includes:

  • A bachelor's degree in information technology, computer science, or the equivalent. Master’s or PhD in a relevant specialization preferred.
  • Minimum of 7 years' software development experience, with minimum 3 years of demonstrated experience successfully managing software development teams in an agile environment.
  • Experience spearheading technical development in a cross-functional setting, with responsibility for ML applications; close partnership with Applied Scientists, R&D groups, or similar.
  • A portfolio showcasing significant contributions to technology innovation
  • Excellent project management, organization and communication skills
  • Experience contributing to and overseeing large-scale rollouts and infrastructure initiatives.
  • Expertise in several of the following areas: robust python development, MLOps, containerization, cloud infrastructure (AWS and Azure), advanced search and recommendation technology, orchestration of ML pipelines for real-time inference, microservices architecture, model monitoring and governance.

We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.

Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.

By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.

We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.

Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.

Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency.

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

Manager, Research Engineering (Foundational Research) employer: Refinitiv

Thomson Reuters is an exceptional employer, offering a dynamic hybrid work environment in London that fosters innovation and collaboration within a cutting-edge research team. With a strong commitment to employee growth through continuous learning initiatives and a culture that prioritises work-life balance, we provide industry-leading benefits and opportunities for meaningful contributions to impactful projects in AI and machine learning.
Refinitiv

Contact Detail:

Refinitiv Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Manager, Research Engineering (Foundational Research)

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend relevant meetups, and engage with professionals on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Prepare for interviews by researching the company and its culture. Understand their projects and values, especially around AI and machine learning. This will help you tailor your responses and show that you're genuinely interested in being part of their team.

✨Tip Number 3

Practice your technical skills! Brush up on relevant programming languages and tools mentioned in the job description. Being able to demonstrate your expertise during technical interviews can set you apart from other candidates.

✨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 take the initiative to connect with us directly.

We think you need these skills to ace Manager, Research Engineering (Foundational Research)

Leadership Skills
Machine Learning Expertise
Large Language Models (LLMs)
Software Development Management
Agile Methodologies
Technical Development in Cross-Functional Teams
Project Management
Communication Skills
Python Development
MLOps
Cloud Infrastructure (AWS and Azure)
Microservices Architecture
Model Monitoring and Governance
Data-Centric Machine Learning
Continuous Improvement

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Manager, Research Engineering role. Highlight your experience in managing software development teams and any relevant projects you've led in ML or AI. We want to see how your skills align with our focus areas!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about foundational research and how you can contribute to our innovative culture. Be sure to mention specific experiences that showcase your leadership and technical skills.

Showcase Your Projects: If you have a portfolio of projects, don’t hold back! Include links or descriptions of significant contributions you've made in technology innovation, especially in ML applications. We love seeing real-world examples of your work!

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 the role. Plus, it gives you a chance to explore more about our company culture and values!

How to prepare for a job interview at Refinitiv

✨Know Your Stuff

Make sure you brush up on the latest trends in LLM and Machine Learning. Be ready to discuss your experience with advanced algorithms and training techniques, as well as any relevant projects you've led. This shows you're not just familiar with the field but are genuinely passionate about it.

✨Showcase Your Leadership Skills

As a Manager of Research Engineering, you'll need to demonstrate your ability to lead a team effectively. Prepare examples of how you've successfully managed software development teams in the past, focusing on your coaching and mentoring experiences. Highlight how you foster collaboration between scientists and engineers.

✨Prepare for Technical Questions

Expect to face technical questions that assess your expertise in areas like MLOps, cloud infrastructure, and model monitoring. Brush up on these topics and be ready to explain complex concepts in simple terms. This will show your depth of knowledge and your ability to communicate effectively.

✨Cultural Fit Matters

Thomson Reuters values inclusion and belonging, so be prepared to discuss how you align with their company culture. Think about how you can contribute to a culture of innovation and continuous improvement. Share your thoughts on work-life balance and how you support your team's growth.

Manager, Research Engineering (Foundational Research)
Refinitiv

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