Senior Data Scientist (GenAI)

Tottenham Court Road
6 days ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist (Document Search)

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist (GenAI) required for a London, globally known software business with hybrid working.

I am working with a large Global software organisation to join their team in London, where you will be working on developing world-class products and services in a hugely innovative environment.

The company:

The organisation has been around for over 20 years and has over 1,000 members of staff. They operate across a very specific area of online sales and are a large-scale tech company. They have offices in London and Scotland and are continuing to grow and be productive.

They are one of Scotland's best known tech organisations, and they thrive on a positive and welcoming culture, making it one of the best places to work. They are a hybrid organisation and ask all employees to be in office twice a week in London - what days those are, are flexible.

You will join a team of 7 Engineers and Scientists to work together to guarantee smooth deployment, monitoring, and scaling of solutions in live production environments.

The role:

You will be utilising advanced technologies such as GenAI and recommender systems with the goal to enhance this content and build a leading platform for travel discovery.

You will lead high-impact initiatives with an experimental approach. You'll be involved in the entire data science lifecycle, from defining problems and exploring data to developing and evaluating models. You will also work closely with engineering teams to ensure the smooth deployment, monitoring, and scaling of solutions in production environments.

You will develop and implement advanced Generative AI and recommender system solutions to improve travel content and user experiences. This includes researching LLMs, multimodal models, and content-based filtering to personalise recommendations. As well as this you will be involved in designing evaluation frameworks to ensure content quality and relevance.

You will collaborate with cross-functional teams to integrate AI-powered solutions into the Explore platform, optimise models for better content discovery, and support the deployment and maintenance of machine learning models in production. Staying updated on AI advancements; you'll continuously experiment with new methodologies to enhance the user experience.

Key skills:

** Senior Data Scientist experience

** Commercial experience in Generative AI and recommender systems

** Strong Python and SQL experience

** Spark / Apache Airflow

** LLM experience

** MLOps experience

** AWS

Additional information:

This role offers a strong salary of up to £95,000 (Depending on experience / skill) with hybrid working (2 days per week in office). Additionally, they offer a range of employee benefits including a few different bonuses.

This is an opportunity to work with one of the UKs best software businesses so if you think that you could be the right fit and this is the next step in your career, then please apply or contact Matthew MacAlpine at Cathcart Technology on (phone number removed)

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.