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

Apply Now

Back End Developer (Python)

Snaphunt
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist - HSBC

Data Scientist

Machine Learning Engineer

Senior Data Engineer

Senior Data Engineer

Data Analytics Lead - Data Science/Developer - Citi

The Offer

  • Great work environment
  • Leadership Role
  • Excellent career development opportunities

The Job

  • Development of web applications and APIs usingDjangoandDjango REST Framework.
  • Data manipulation and analysis withPandasandGeoPandasto feed analytical and planning tools.
  • Configuration and administration ofPostgreSQLandMongoDB databases.
  • Implementation ofETLprocesses (data extraction, transformation and loading) to optimize the handling of large volumes of information.
  • Collaboration in the deployment and administration of applications usingDockerand basicknowledge of Linux.
  • Integration of cloud services, such asAmazon S3, for storage and handling of large files.

The Profile

  • Frameworks:Experience in application development withDjangoandDjango REST Framework.
  • Data Manipulation:Proficiency in the use of Python libraries such asPandasandGeoPandas.
  • Databases:

SQL: Experience in relational databases, especiallyPostgreSQL.

NoSQL: Basic knowledge inMongoDB.

  • Infrastructure and Deployment:Familiarity withDockerfor container creation and application deployment.
  • Systems Administration:Basic knowledge ofLinux.
  • Cloud Integration:Experience withAmazon S3or cloud storage services.

The Employer

Our client is looking for aJunior Programmerwith knowledge in web application development and data management to join a high-performance team within atechnology consultancy. The candidate will work on the development of an internal media planning and campaign activation product, a self-service tool that combines cutting-edge technologies and data science. This role is aimed at strengthening the BackEnd team under the direct supervision of the CTO, an expert in Machine Learning.

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.