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

Apply Now

Machine Learning Engineer (NLP)

Bristol
6 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer – Insurance

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Machine Learning Computer Vision Engineer

Senior MLOps Engineer

Senior Data 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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.