Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Machine Learning Engineer (NLP)

Bristol
5 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer (SC Cleared)

Machine Learning Engineer - Computer Vision

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer - Computer Vision

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

Machine learning (ML) has quickly become one of the most transformative forces in modern technology. What began as a subset of artificial intelligence—focused on algorithms that learn from data—has grown into a foundational capability across industries. From voice assistants and recommendation systems to fraud detection and predictive healthcare, machine learning underpins countless innovations shaping daily life. In the UK, demand for ML professionals has surged. Financial services, healthcare providers, retailers, and tech start-ups are investing heavily in ML talent. Roles like Machine Learning Engineer, Data Scientist, and AI Researcher are among the most sought-after and best-paid in the tech sector. Yet we are still only at the start. Advances in generative AI, quantum computing, edge intelligence, and ethical governance are reshaping the field. Many of the most critical machine learning jobs of the next 10–20 years don’t exist yet. This article explores why new careers will emerge, the kinds of roles likely to appear, how today’s jobs will evolve, why the UK is well positioned, and how professionals can prepare.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.