Senior Java Backend Engineer

Farnborough
3 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer - Apache / Spark / AWS - Manchester

Software Engineer

Senior API Developer (Python & AWS)

Senior Systems Engineer

Senior Data Engineer

Senior Software Engineers

Senior Java Backend Engineer

Salary: £65,000 to £70,000

Location: Hampshire, Hybrid 2 days p/w

What You'll Do:

Responsible for oversight on design and implementation of products assigned to their team. Still needs to think things through, but has their driver's license. This means they can take user stories and new features from idea to production unattended.
Actively manages and escalates risk and customer-impacting issues within the day-to-day role to management.How You'll Do It:

Analyze, design, code, test, and deploy new user stories and product features with high quality (security, reliability, operations) to production. Understands the software development lifecycle and leverages critical thinking skills to properly evaluate features and functionality.
Guides early-career engineers by providing learning tasks as well as work related tasks, directs the work of emerging talent, and helps them continue to grow in their technical skillset through mentorship.
Has an oversight on application, system, and architecture design decisions and guides team to achieve key results for products assigned to them.
Remediates issues using engineering principles and creates proactive design solutions for potential failures to ensure high reliability of technical solutions.
Achieves team commitments (and influence others to do the same) through collaboration with other engineers, architects, product owners and data scientists.
Contributes to and leads technology communities of practice at Discover in areas of design-thinking, tools/technology, agile software development, security, architecture and/or data.
Creates and enforces IT standards within the system/application infrastructure and compatibility with the architecture of the platform.

Qualifications You'll Need
The Basics:

Bachelors Degree in Computer Science, Engineering, Informatics, Information Security or Information Technology
Experience in Information Technology, (Software) Engineering or related
Internal applicants only: technical proficiency rating of Competent on the Dreyfus engineering scale.

Physical and Cognitive Requirements:

The physical requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable a qualified individual with disabilities to perform the essential functions of the position as required by federal, state, and local laws:

Primarily remain in a stationary position.
No required movement about the work environment to complete the major responsibilities of the job.
Ability to operate office equipment such as but not limited to computer, telephone, printer, and calculator.
Primarily performed indoors in an office setting
Ability to communicate verbally.; Ability to communicate in written form.

Bonus Points If You Have:

JavaSE 8 or above development experience
Microservices development experience
Digital payments experience
Have used several testing frameworks such as Junit/Mockito/Gatling
SQL/NoSQL
RESTful APIs
Kafka
OpenShift/Kubernetes
Helm Charts
AWS
Jenkins
Git

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.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

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.