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

Apply Now

Senior Backend Software Engineer

Aveni
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer (GenAI)

Senior Director, AI and Machine Learning– Evinova

Engineering Manager, Machine Learning Platform

Engineering Manager, Machine Learning Platform Cardiff, London or Remote (UK); London

Engineering Manager, Machine Learning Platform

Senior Machine Learning Engineer

Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. We’re using the latest in AI to automate and innovate, empowering businesses to achieve exceptional productivity and compliance outcomes.


Summary


We are looking for an experienced Senior Back-End Software Engineer to drive the optimisation and scalability of AI-powered applications at an enterprise level. In this role, you will design and develop robust back-end systems, productise AI models, and lead the delivery of AI agent-based platforms for high-performance and autonomous AI solutions. Collaborating with cross-functional teams, you will ensure seamless integration, maintain high development standards, and mentor junior engineers. Your expertise in Python, back-end frameworks, API integration, and AI deployment will be key to building innovative solutions for some of the UK's largest financial institutions.


Responsibilities


  • Design & Develop: Build and maintain robust, scalable back-end systems that integrate AI models into production-ready applications.
  • Optimise Code: Analyse and enhance existing codebases for efficiency, maintainability, and performance.
  • Productise AI Models: Work closely with data scientists to convert machine learning prototypes into reliable, production-grade systems.
  • Build AI Agentic solutions: You will be responsible for designing and delivering an AI agent-based platform that delivers highly performance and autonomous AI capabilities for some of the largest of the UK's financial institutions.
  • Collaborate: Partner with front-end developers, DevOps engineers, and product managers to deliver seamless solutions.
  • Ensure Quality: Conduct code reviews, implement automated testing, and follow best practices to uphold high development standards.
  • Mentor: Support junior team members by providing guidance and sharing technical expertise.


Skills and Experience


We’re looking for a candidate with strong technical expertise, particularly in back-end development and AI applications. You should have:


  • Minimum qualifications: Relevant commercial experience with a BSc in Computer Science or related field.
  • Programming Proficiency: Advanced skills in Python, with a focus on writing clean, efficient, and maintainable code. Knowledge of other programming languages (Java, Typescript, C++) will be considered an asset.
  • Frameworks & Tools: Experience with back-end frameworks such as Django, Flask, FastAPI or Spring Boot.
  • APIs & Integration: Strong understanding of RESTful APIs and experience in building microservices architectures.
  • Data Systems/Pipelines: Proficiency in working with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB) and data processing ETL pipelines.
  • AI Integration: Experience in integrating machine learning models into production environments, ensuring they are robust and performant.
  • Code Optimisation: Expertise in profiling and optimising back-end systems to achieve low-latency, high-throughput applications.
  • Version Control: Mastery of Git and experience with CI/CD pipelines to streamline development workflows.
  • Problem-Solving: A strong analytical mindset and the ability to tackle complex technical challenges effectively.


Desirable


  • Cloud Expertise: Hands-on experience with AWS, Azure, or Google Cloud, including deployment and scaling of cloud-based applications.
  • Programming Proficiency: Strong knowledge of Typescript and Java.
  • Information Retrieval: Knowledge of building retrieval augmented generation (RAG) systems, with vector databases and information retrieval, such as using Elasticsearch or other search indexing solutions.
  • Knowledge of Language Models: Understanding how large language models like GPT-3 or custom transformer-based models can be used, fine-tuned, and deployed for NLP tasks in production.
  • Model Deployment: Experience deploying machine learning models, particularly NLP models, in production at scale using frameworks like TensorFlow Serving, TorchServe, ONNX, cloud-based ML services (e.g., AWS SageMaker, GCP AI Platform) or orchestration frameworks like Kubernettes.


Benefits


This is a great opportunity to work at the cutting edge of Artificial Intelligence, Natural Language Processing and software development. Alongside a competitive salary, we also offer:


  • 34 days holiday plus your birthday off
  • Strong career progression opportunities
  • Share options
  • Remote and flexible working
  • On-going career development and training
  • Freebies and discounts (Free coffee, movie downloads, discounts on high street stores, supermarkets, and restaurants)
  • Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counseling and emotional support)
  • Physical health (Access to fitness portal including HIIT workout, boxing, yoga as well as gym discounts)
  • Pension scheme


Join Us in Making a Difference


At Aveni, we believe that diversity drives innovation. We're committed to building a team that reflects the diverse communities we serve and creating an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about leveraging technology to drive positive change and want to be part of a team that's shaping the future of financial services, we'd love to hear from you. We know that some people are likely to only apply where they meet 100% of requirements, but we’d like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI!

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.