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

Apply Now

Engineer: Data Science

Mayer Brown LLP
London
6 days ago
Create job alert
Overview

Engineer: Data Science The Engineer: Data Science is responsible for the design, development, and delivery of advanced analytics and AI solutions in support of the firm's Data and AI strategy. This role works closely with the data science team, IT engineers, and business teams to implement reliable, scalable solutions that deliver measurable business value. The Engineer applies experience in data science, AI methods, and modern engineering practices to build and deploy solutions in production environments. The role emphasizes delivery excellence - ensuring that solutions are practical, efficient, and compliant with the firm's standards for security, confidentiality, and governance. Working closely with data science, IT, and data teams, the Engineer translates complex concepts into practical solutions that support critical business outcomes. Hours: Standard hours are 9:30am to 5:30pm with flexibility in accordance with the needs of the business. Our current working from home policy allows for two days working from home, subject to business need. This policy is subject to change and does not form part of contractual terms. Given the global nature of this role, there is often the need for off-hours (e.g., late evening and/or early morning) conference calls or video conferences.


#J-18808-Ljbffr

Related Jobs

View all jobs

Engineer: Data Science

Engineer: Data Science

Principal Engineer – Data Science

Data Engineer Data Science/Java/Python/Unix

Lead R Engineer / Data Scientist - Integrated Pest Management & Soil Science

Lead R Engineer / Data Scientist - Integrated Pest Management & Soil Science

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 an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.