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For Companies At a Glance
- Tasks: Lead innovative AI and ML projects, developing scalable solutions and collaborating with diverse teams.
- Company: Join Thomson Reuters Labs, a leader in delivering transformative data-driven capabilities.
- Benefits: Enjoy a hybrid work model, comprehensive wellbeing plans, and access to learning resources.
- Why this job: Be part of a purpose-driven team that values diversity and fosters personal growth.
- Qualifications: Bachelor's in Computer Science, strong software engineering experience, and ML expertise required.
- Other info: Opportunity to make a social impact through employee-driven initiatives and volunteer days.
The predicted salary is between 43200 - 72000 £ per year.
Do you love creating innovative solutions for customers? We are seeking a passionate Lead Research Engineer who will bring expertise in AI and ML and is interested in building data-driven capabilities that drive transformation. As a member of Thomson Reuters Labs, you will have a direct impact on our company by helping to create new and innovative capabilities that will delight our customers.
About the Role
- Be a Leader: Provide technical leadership partnering with other engineers to develop and improve methodology and evolve the technology stack.
- Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing, and delivering high-quality solutions.
- Build Scalable ML Solutions: You will create large-scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develop high-performing scalable systems in the context of large online delivery environments.
- Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, and partner with cross-functional and remote teams.
- Be an Agile Person: With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver timely solutions.
- Be Innovative: You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries.
- Be an Effective Communicator: Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.
About You
You are a fit for the Lead Research Engineer role if your background includes:
- Essential skills & experience: A Bachelor's Degree in Computer Science or Related Field. Significant software engineering experience. Demonstrable experience working on a Machine Learning related product or solution. Experience leading technical workstreams within a software engineering organization. Deep understanding of Python software development stacks and ecosystems; experience with other programming languages is ideal. Ability to understand, apply, integrate, and deploy Machine Learning capabilities and techniques into other systems. Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn. Take pride in writing clean, reusable, maintainable, and well-tested code. Demonstrate proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure. Proficient in system analysis and design; consider DevOps and automation as fundamental pillars of your work. A desire to learn and embrace new and emerging technology. Familiarity with probabilistic models and understanding of the mathematical concepts underlying machine learning methods. Experience leading and/or mentoring teams. Experience providing guidance around roadblocks for the team. Experience providing updates to internal stakeholders.
- Preferred skills & experience: Experience integrating Machine Learning solutions into production-grade software with a sound understanding of ModelOps and MLOps principles. Exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. Experience successfully integrating Machine Learning solutions into production-grade software. Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.).
What's in it For You?
- Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role).
- Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance.
- Culture: Globally recognized and award-winning reputation for equality, diversity, and inclusion.
- Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company.
- Social Impact: Employee-driven Business Resource Groups; two paid volunteer days annually; ESG initiatives for local and global impact.
- Purpose Driven Work: We help our customers pursue justice, truth, and transparency.
Do you want to be part of a team helping re-invent the way knowledge professionals work? Join us and help shape the industries that move society forward.
Accessibility
As a global business, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, or any other protected classification under applicable law. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.
Lead Research Engineer employer: Thomson Reuters
Contact Detail:
Thomson Reuters Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Research Engineer
✨Tip Number 1
Network with professionals in the AI and ML fields. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends. This can help you gain insights into what Thomson Reuters Labs values in candidates.
✨Tip Number 2
Showcase your leadership skills by participating in open-source projects or leading initiatives within your current role. Highlighting your ability to guide teams and manage technical workstreams will make you stand out as a candidate for the Lead Research Engineer position.
✨Tip Number 3
Familiarise yourself with the specific technologies and tools mentioned in the job description, such as Python libraries and cloud platforms like AWS or Azure. Being able to discuss your hands-on experience with these technologies during interviews will demonstrate your readiness for the role.
✨Tip Number 4
Prepare to discuss your approach to problem-solving and innovation in machine learning. Think of examples where you've successfully integrated ML solutions into production-grade software, as this will resonate well with the expectations for the Lead Research Engineer role.
We think you need these skills to ace Lead Research Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure to customise your CV to highlight your experience in AI, ML, and software engineering. Emphasise any leadership roles you've held and specific projects that demonstrate your ability to build scalable ML solutions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for innovative solutions and how your background aligns with the role. Mention specific technologies and methodologies you’ve used, and how they relate to the responsibilities outlined in the job description.
Showcase Relevant Projects: Include examples of past projects that showcase your experience with machine learning, Python, and cloud-native applications. Highlight your role in these projects and the impact they had on the team or company.
Highlight Communication Skills: Since effective communication is key for this role, provide examples of how you've successfully collaborated with cross-functional teams. Mention any experience you have in mentoring or leading teams to overcome challenges.
How to prepare for a job interview at Thomson Reuters
✨Showcase Your Leadership Skills
As a Lead Research Engineer, demonstrating your ability to lead technical workstreams is crucial. Prepare examples of past experiences where you successfully led a team or project, highlighting your approach to collaboration and mentorship.
✨Demonstrate Your Technical Expertise
Be ready to discuss your experience with AI and ML, particularly in building scalable solutions. Bring specific examples of projects you've worked on, focusing on the technologies and methodologies you used, especially within Python and its data science libraries.
✨Communicate Effectively
Effective communication is key in this role. Practice articulating complex technical concepts in a clear and concise manner. Be prepared to engage in discussions about your ideas and how they can contribute to the company's goals.
✨Emphasise Your Innovative Mindset
The company values innovation, so come prepared with ideas on how to improve existing processes or introduce new technologies. Share examples of how you've embraced new approaches in your previous roles and the impact they had.
