Senior Research Engineer (Foundational Research, Machine Learning)

Lifelancer
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Research Engineer Computer Vision

Senior RF Data Scientist / Research Engineer

Head of Research Data Services, Global Data Sciences, Oncology Therapy Area, Research and Devel[...]

Senior Staff Engineer (Machine Learning) - 45391

Senior Staff Engineer (Machine Learning) - 45391

Senior Staff Engineer (Machine Learning) - 45391

Job Title:Senior Research Engineer (Foundational Research, Machine Learning)

Job Location:London, UK

Job Location Type:Hybrid

Job Contract Type:Full-time

Job Seniority Level:Mid-Senior level

Are you a curious and open-minded individual with an interest in state-of-the-art machine learning engineering and research? Thomson Reuters Labs is seeking a Research Engineer with a passion for solving challenging machine learning problems in a data-rich, complex academic environment.

What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our product teams through foundational research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News.  We undertake a diverse portfolio of projects while investing in long-term research for the future.

As a Senior Research Engineer, you will be part of a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development, fueled by an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. You will have the opportunity to contribute to research publications as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways.

About The Role 

In this opportunity, as Senior Research Engineer you will:

Innovate: You will have the opportunity to try new and/or innovate new ML/NLP/IR/GenAI approaches and enjoy mentoring by world-leading experts. You will contribute ideas and work on solving real-world challenges using a wealth of data not otherwise available. 

Engineer and Develop: You can be involved in the entire research & model development lifecycle, brainstorming, designing, building, and delivering high-quality software frameworks that enables your colleagues to do world-class research.

Collaborate: Working on a collaborative global team of engineers and scientists both within Thomson Reuters and our academic patterns at world-leading universities.

About You

You're a fit for the role if your background includes:

Required Qualifications:

  • Relevant degree in a technical discipline.
  • Work experience in a challenging engineering setting, building high-quality software frameworks for research.
  • Excellent programming, debugging and system design skills.
  • Excellent communication skills to report and present software designs and findings clearly, both orally and in writing.
  • Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems.
  • Self-driven attitude and ability to work with limited supervision.
  • Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud.
  • Comfortable working in fast-paced, agile environments, managing uncertainty and ambiguity.


Preferred Qualifications:

  • Contributions to publications at relevant venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR, or similar.
  • Experience working on relevant state-of-the-art engineering topics relevant to large language model (LLMs) research such as distributed computing, building of scalable data pipeline systems, automated evaluation systems or in-depth knowledge of GPUs and parallel computing platforms such as CUDA.
  • Previous experience working on large-scale machine learning systems.
  • Strong software and/or infrastructure engineering skills, as evidenced by code contributions to popular open-source libraries.


Other key points:

Plenty of data, compute, and high-impact problems: Our engineers and scientists get to play with large datasets and discover new capabilities and insights in support of our high-impact products and customers. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & Accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers.

What's in it For You?

You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

  • Hybrid Work Model: 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
  • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
  • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
  • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
  • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
  • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet 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.


Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

Accessibility

As a global business, we rely on diversity of culture and thought to deliver on our 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/Affirmative Action 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.

Protect yourself from fraudulent job postings click here to know more.

More information about Thomson Reuters can be found on https://thomsonreuters.com.



Lifelancer (https://lifelancer.com) is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains.

For more details and to find similar roles, please check out the below Lifelancer link.

https://lifelancer.com/jobs/view/5e5003c777a9dd31130f400a225bce15

Apply on Lifelancer Platform

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.