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

Apply Now

Consulting Data Engineer

London
6 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Senior Machine Learning Engineer

MLOps Engineer

Data Scientist (Public Sector)

Data Scientist Specialist

Certain Advantage are recruiting on behalf of our growing London based Data & AI consulting client who specialist in providing best in class support to clients who use Palantir's Foundry, Gotham, and AIP as part of their architecture.

A large proportion of projects involve solving problems in the defence domain, so SC clearance is required, and we can only consider candidates eligible and willing to obtain this.

We're looking for data professionals who get excited about engaging with users to understand and break down complex novel problems, and design and deliver data solutions to solve important problems.

Prior experience in the Palantir AIP, Foundry and Gotham would be advantageous. Previous development experience in PySpark, Typescript and front end frameworks like React would also be advantageous.

As a Consultant Engineer your responsibilities will include

Assist in the design, development, and maintenance of data pipelines and ETL processes to build data and action models to address the workflow needs.
Build and edit operational workflows, including front ends and decision-support toolsets, inclusive of native Palantir tooling and integrated front ends.
Collaborate with team members to implement AI and machine learning models against user problems.
Engage in continuous learning and developmentThis is a permanent position requiring onsite working in London with potential for 1 day remote working per week.

Does this sound like your next career move? Apply today!

Working with Certain Advantage

We go the extra mile to find the best people for the job. If you're hunting for a role where you can make an impact and grow your career, we'll work with you to find it.

We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering.

If this job isn't for you, head to (url removed) and register for job alerts and career guidance tips

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.