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

Nominate & Attend

Big Data Engineer

JR United Kingdom
City of London
3 days ago
Create job alert

Social network you want to login/join with:
Big Data Engineer, london (city of london) col-narrow-left
Client: TEC Partners - Technical Recruitment Specialists
Location: london (city of london), United Kingdom
Job Category: Other
-
EU work permit required: Yes
col-narrow-right
Job Views: 4
Posted: 26.06.2025
Expiry Date: 10.08.2025
col-wide
Job Description: Company
TEC Partners are working with a world leading defence and security company who work in collaboration with governments across the world to ensure international security across land, sea and air. They are leaders in highly sensitive international protection and continually seek to lead the way for innovation in their domain.
About this Big Data Engineer Role
As a Big Data Engineer, you will play a crucial role in creating and maintaining systems to support our client’s data science, AI and machine learning workloads. You will be required to work in a collaborative nature with different departments and ensure effective data integration.
Why Work as a Big Data Engineer with Our Client?
Competitive salary up to £115,000
Holiday buy and sell
Performance bonus
What is Expected of you as a Big Data Engineer with Our Client?
You will need to hold current eDV or UKIC security vetting
A minimum of 5 years of experience of working with Big Data as a Data Engineer
Excellent communication skills and the ability to work in a collaborative nature with the wider team and explain complex technical details to those of varying technical literacy
The ability to create scalable big data pipelines
A strong background in automation and scripting to Develop and maintain scripts to streamline data workflows.
Responsibilities of a Big Data Engineer with Our Client
The ability to troubleshoot big data environment and optimize pipelines
Conduct end-to-end testing to ensure seamless tool and system integrations across the data stack.
Design and support secure, scalable systems using network protocols (TCP/IP, OSI)
Enable machine learning and AI workflows through tools like Jupyter, SpaCy, Transformers, and NLTK.
Implement and support BI tools (Tableau, Power BI, Kibana) to drive actionable insights from complex data sets.
If you are interested in this Big Data Engineer role and would like to learn more about it or other Data opportunities, please contact Stuart at TEC Partners today.

#J-18808-Ljbffr

Related Jobs

View all jobs

Big Data Engineer

Big Data Engineer

Big Data Engineer - DV Cleared

Big Data Engineer (Hybrid or Remote)

Lead Data Engineer

Lead Data Engineer

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.