NLP Engineer

Aveni
Liverpool
11 months ago
Applications closed

Related Jobs

View all jobs

Hebrew NLP Engineer — Onsite in Barcelona (Relocation)

NLP & LLM Engineer (Remote Contract, 6m)

Machine Learning Research Engineer – NLP / LLM

Machine Learning Research Engineer – NLP / LLM

Remote NLP/LLM Engineer – 6‑Month Contract

Remote NLP/LLM Engineer – 6‑Month Contract

NLP Engineer (Edinburgh / Remote)


Are you an NLP Engineer with hands-on experience deploying large language models or machine learning models in production? Do you thrive at the intersection of cutting-edge technology and real-world impact? At Aveni, we’re redefining how financial services harness the power of AI.


About Us:


We’re an award-winning technology company using Natural Language Processing (NLP) and Large Language Models (LLMs) to revolutionise efficiency and compliance in financial services. By integrating advanced AI solutions into real-world applications, we’re shaping the future of productivity.


The Role:


We’re seeking an NLP Engineer to design and implement production-grade AI solutions, using Generative AI and NLP to solve challenges in text and speech analysis. This role demands expertise in deploying LLMs in production, optimising solutions for scalability, and integrating AI into robust cloud-based systems.


What You’ll Do:


  • Build and deploy NLP and Generative AI solutions to address real-world challenges.
  • Write, review, and maintain production-quality Python code for scalable applications.
  • Optimise NLP models for observability and resilience in production.
  • Collaborate with cross-functional teams to integrate AI solutions seamlessly.
  • Use AWS services and serverless frameworks for deployment.
  • Lead client-facing projects, tailoring solutions to specific use cases.


What We’re Looking For:


  • Experience building and deploying ML and GenAI to build NLP components for products
  • Proficiency in Python and experience with CI/CD pipelines.
  • Strong background in prompt engineering and LLM deployment.
  • Practical experience with AWS serverless frameworks.
  • Ability to translate complex business challenges into actionable AI solutions.
  • A passion for the latest trends in NLP and Generative AI.


Desirable Skills:


  • Experience fine-tuning LLMs or working in FinTech.
  • Knowledge of infrastructure-as-code frameworks like AWS CDK.
  • Familiarity with TypeScript is a plus.


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.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.