Machine Learning Engineer (NLP)

CV-Library
Bristol, Bristol (County)
15 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Machine Learning Engineer

Faculty AI London, United Kingdom
Hybrid Clearance Required

Machine Learning Engineer

PhysicsX North Tyneside, NE29 8EP, United Kingdom
On-site Clearance Required

Machine Learning Engineer

PhysicsX United Kingdom
On-site

Machine Learning Engineer

Randstad Technologies Recruitment London, City And County Of the City Of London, United Kingdom
£450 – £500 pd Hybrid

Machine Learning Engineer

Rebel Recruitment Nottingham, Nottinghamshire, United Kingdom
£500 – £600 pd Hybrid

Machine Learning Engineer - Robotics & Perception

Jonathan Lee Recruitment Chetwynd Aston, Shropshire, United Kingdom
£45,000 – £55,000 pa On-site
Posted
4 Mar 2025 (15 months ago)

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

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.