Machine Learning Engineer (NLP)

Bristol
11 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Senior Machine Learning Engineer - Research

Audio Machine Learning Engineer

Staff Machine Learning Engineer

Audio Machine Learning Engineer

Senior Machine Learning Engineer

Job Title: Machine Learning Engineer (NLP)

Location: Bristol (hybrid)

Salary: £40k - £60k per annum

Job type: permanent

About Us
Join a dynamic organisation at the forefront of cyber risk management! Our client specialises in innovative solutions that tackle complex challenges in the rapidly evolving cyber reinsurance domain. Here, cutting-edge technology meets data analytics to drive impactful results.

Role Overview
We are on the lookout for a passionate NLP Engineer ready to dive into the world of advanced language models. You'll collaborate with diverse teams to implement state-of-the-art NLP techniques and build scalable AI solutions that make a difference!

Key Responsibilities:

Develop and optimise NLP models for information retrieval, summarization, and more!
Work closely with data scientists, engineers, and domain experts to tailor AI solutions to business needs.
Stay ahead of the curve by researching the latest in NLP technologies, including semantic search and generative AI.
Design scalable data pipelines for efficient processing of both structured and unstructured data.
Evaluate and fine-tune machine learning models to ensure peak performance.
Maintain robustness and compliance of models and data pipelines, adhering to best practises for data privacy.
Document processes for transparency and knowledge sharing across teams.

Qualifications:

Bachelor's in Computer Science, Engineering, Statistics, or a related field; Master's or Ph.D. preferred.
Strong foundation in machine learning and NLP techniques through academic or industry experience.
Proficient in Python and popular ML/NLP libraries like TensorFlow, PyTorch, and Hugging Face.
Experience with cloud platforms (GCP, AWS, Azure) is a plus!
Familiarity with advanced NLP techniques such as Prompt Engineering and Parameter-Efficient Fine-Tuning (PEFT).
Excellent communication and problem-solving skills.

Why Join Us?

Competitive salary and benefits, including a 5% pension and 28 days holiday!
Private medical insurance and a death-in-service benefit.
Opportunity to work with cutting-edge technology in a collaborative and inclusive environment.
Career growth and development opportunities await you!

Ready to take your career to the next level? Apply now and be part of something extraordinary!

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you

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.

Careers

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.

Jobs

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.

Careers Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.