NLP Engineer

Aveni
Birmingham
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer

MLOps / ML Engineer

Machine Learning Engineer

Senior Machine Learning Engineer - Research

Lead Data Scientist

Lead Data Scientist

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 Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.