National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist

Tomorro
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - AI / ML, Python, Scripting, Cyber Security

The role

You will become part of Tomorro's early team to enable our customers in achieving their GHG emissions objectives with data-driven insights. You have the skills to gather, transform, and analyze data from various sources and structures. You'll be able to apply validation and testing techniques to ensure that analytical results are accurate and trustworthy for decision-makers.

Key responsibilities:

  • Enrich raw data to enable analytical insights internally and for customers
  • Sourcing and evaluating third-party data and analytics, and developing integration requirements
  • Performing ad-hoc analysis to address customer needs and inform Tomorro's strategy and priorities
  • Developing, validating, and deploying Machine Learning capabilities, both internal and customer-facing
  • Evaluating methodological documentation for environmental emissions factors to determine suitability for use cases
  • Collaborating on the design of data models, technical architecture, data flows, schemas, and API contracts
  • Developing tools to ensure data integrity and streamline data integration for internal and customer platforms
  • Tracking work through the software development lifecycle in JIRA, submitting well-documented pull requests, and collaborating through reviews

About Tomorro

Our mission is to unlock a new concept of value for companies by monetizing their real ESG impact. We believe it all starts with transparency and making the invisible visible through data. The second step is taking action, enabling companies to make informed decisions to drive real-world impact, including achieving their net-zero targets. The last step is creating value, where real-world impact is rewarded or penalized in capital, commercial, or talent markets.

To achieve this, our objective is to transform climate, social, and governance programs from being a sidelined tick-box exercise into strategic assets. This enables businesses to leverage their ESG position to win deals, lower capital costs, and attract and retain talent.


#J-18808-Ljbffr

National AI Awards 2025

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 Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.