Full-Stack Java Developer (Pharma OR Healthcare Experience)

London
1 month ago
Applications closed

Related Jobs

View all jobs

Full-Stack Developer- Software Engineer

Full Stack Developer

Full Stack Engineer

Full Stack Developer (Web Games)

Staff Full Stack Engineer

Graduate Software Developers (Full Stack)

Role- Lead Full Stack Developer

Location- Hammersmith, London, UK

Type- Hybrid (1 day per week in office)

  • Lead developer will provide full stack web application development and maintenance focused on the Vantage SaaS application.
  • Provide project support and planning guidance to the Product Team for new developments and enhancements on existing products.
  • Perform a consultancy/advisory role within the team when presented with new challenges, this includes utilising new technology to streamline and enhance the products and associated infrastructure.
  • Investigate, own and resolving incidents raised by internal and external clients.
  • Lead on time sensitive projects whilst mentoring and directing other team members.
  • Consult and implement data engineering/ETL processes efficiently when required.
  • Provide operational support including infrastructure setup, maintenance and software releases.
  • Investigate and fix bugs discovered within the Vantage application and associated modules.
  • Working with the internal tester to make sure they understand the applications being developed enabling them to carry out full regression testing.
  • Ensuring any given development work meets the defined business requirements.
  • Implement best practice by developing and following the defined processes and procedures.
  • Explain and document technical issues to non-technical staff to ensure they understand each development.
  • Any other duties that are considered as falling under the remit and responsibilities of this post.
  • At least 5 years of experience as a Java web application developer

  • Experience of full stack web application development using:
  • Java, Scala, Spring, Hibernate
  • JSP, Servlets, REST
  • JavaScript, jQuery, React, Redux, Typescript, CSS, SCSS
  • JUnit, ScalaTest, Cucumber, WebDriver & TDD
  • Jenkins
  • Apache Tomcat, nginx
  • Redshift, MariaDB
    *Bash scripts
    *Python

  • Experience developing full stack greenfield applications from inception to development and deployment.
  • Experience using Amazon Web Services (AWS) - EC2, S3, Redshift.
  • Experience of big data and tools such as Hadoop, Spark, etc.

    Mandatory industry experience- Pharma or healthcare

    GCS is acting as an Employment Business in relation to this vacancy

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.