Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Principal Data Scientist / AI Engineer

Wyatt Partners
London
6 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist I - Agentic Systems

Principal Data Scientist

Principal Data Scientist - Industry Solutions Engineering

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Job Description

This role will lead the build of real world AI products for a very successful B2B SaaS firm, already doing c. $100 million ARR. The products you build will have significant impact on the companies bottom line.


The company have a large proprietary data set, unrivalled in their marketplace.


About the Company- PE backed c. $100 million ARR B2B SaaS firm, looking to hire a Principal ML Engineer / Data Scientist to build data science and AI products to integrate into their platform. They are around 200 employees with a great tech team and modern tech stack as well as an unrivalled dataset in their marketplace built by merging several key companies within the sector.


About the Role- The role will be largely a Senior Individual contributor although with significant access & interaction with the C-suite & Private Equity backers. You'll lead teams on a squad basis and manage 3rd party resource from a specialist consultancy.


You will be responsible for design and build of AI tools for a B2B sales platform. The products will aim to take the platform to another level of depth for it's users offering strategic recommendation & insights.


It is critical that you can demonstrate experience of building Data & AI tools that have created commercial value for an organisation and/o...

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.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.