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

Apply Now

Data Science Engineer- eDV Clearance

Searchability
Manchester
4 weeks ago
Applications closed

Related Jobs

View all jobs

Data Science Engineer

Data Science Engineer

Data Science Engineer

Data Science Engineer

Data Science Engineer- eDV Clearance

Senior Data Engineer (Data Science Team)

DATA SCIENCE ENGINEER – EDV CLEARED


BRAND NEW PERMANENT OPPORTUNITY AVAILABLE WITHIN A LEADING COMPANY FOR A DATA SCIENCE ENGINEER WITH ENHANCED DV CLEARANCE



  • Permanent opportunity for a data engineer/data scientist with enhanced DV clearance.
  • Industry-leading consultancy supporting mission-critical government projects.
  • Salary up to £95,000 DOE plus DV Bonus.
  • Manchester-based in an easily accessible location.
  • To apply, please call or email


WHO ARE WE?

We are recruiting Data Science Engineers at various levels with AI/Machine Learning experience to work with an industry-leading consultancy supporting mission-critical government projects with office locations in and around Manchester. Our teams lead us forward, and we are looking for the best talent to join us. Due to the nature of these clients, you must hold DV clearance to work on Defence and National Security projects.


REQUIREMENTS FOR THE DATA SCIENCE ENGINEER


  • Enhanced DV Clearance.
  • Experience in Data Engineering/Data Science.
  • Ability to develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to move data from source systems to data stores.
  • Experience with supporting technologies such as Apache, Kafka, NiFi, Spark, Flink, or Airflow.
  • Experience working with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Elasticsearch, Accumulo, Neo4j).
  • Hands-on experience with distributed computing, ETL, data pipelines, and automated workflows.
  • Proficiency in modern programming languages such as Python, Java, or Go.


HOW TO APPLY

Please apply online or email . For further information, call . I am available outside normal working hours from 7am to 10pm. If unavailable, leave a message, and we will respond. By applying, you consent to the processing and submission of your application to our client for this vacancy only. Feel free to connect with me on LinkedIn, search for Laura Jackson. I look forward to hearing from you.


KEY SKILLS

Data Engineer, Senior Data Engineer, Lead Data Engineer, Data Scientist, Senior Data Scientist, ETL, Database, Python, Java, Platform ETL, Data Governance, DV Cleared, SC Cleared, Security Cleared


#J-18808-Ljbffr

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.

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.

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.

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.