63 Nlp jobs in the United Kingdom

Position Available: NLP & Generative AI Data Scientist

Location: Gloucestershire OR Hertfordshire

Salary: £45,000 - £50,000 + Benefits

Experience needed: We're looking for a Data Scientist with strong NLP and Python skills, and hands-on experience with large language models (LLMs) and Retrieval-Augmented Generation (RAG). You'll be comfortable developing production-ready AI tools and collaborating ac.

WHJS1_UKTJ

• Location: Remote (will need to come into London once a month)
• Job Type: Full-time, Permanent
• Must have the Right to Work in the UK (Cannot provide sponsorship)

Join a leading UK consulting and administration business specialising in the pensions and insurance sectors. As an ML Ops Engineer in our Pensions Advisory - Data Analytics department, you will be at the forefront of developing and deploying machine learning models that enhance our consulting capabilities and client offerings.

• Model Development: Collaborate with actuarial analysts to develop machine learning and statistical models for predicting outcomes related to pension schemes. Utilize appropriate algorithms to enhance predictions and automate decision-making processes.
• Machine Learning Operations: Design, deploy, maintain, and refine statistical and machine learning models using Azure ML. Optimize model performance and ensure smooth application operations with large-scale data handling.
• Data Management and Preprocessing: Manage the collection, cleaning, and preprocessing of large datasets. Implement data pipelines and ETL processes to ensure data quality and availability.
• Software Development: Write clean, efficient, and scalable code in Python. Implement CI/CD practices for version control, testing, and code review.
• Collaboration and Training: Work closely with various teams within the organisation to integrate data science findings into practical strategies. Provide training and support to team members on machine learning tools and analytical techniques.
• Research and Development: Stay updated with the latest trends and technologies in data science and pensions to identify opportunities for innovation.

• Essential:
  • Proven experience in designing, building, optimizing, deploying, and managing business-critical machine learning models using Azure ML in production environments.
  • Strong skills in data wrangling using Python, SQL, and ADF .
  • Proficiency in CI/CD, DevOps/MLOps , and version control systems.
  • Familiarity with data visualization and reporting tools, ideally PowerBI.
  • Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders.
• Desirable:
  • Experience in the pensions or similar regulated financial services industry.
  • Experience working within a multidisciplinary team.

• Competitive salary and participation in an annual discretionary bonus scheme.
• 25 days holiday plus options to buy or sell additional holiday.
• Flexible bank holidays and a comprehensive pension scheme with matching contributions.
• Healthcare cash plan and a flexible benefits scheme supporting various aspects of your life.
• Life assurance cover, extensive high street discounts, and access to digital GP services.
• Paid volunteering day and employee assistance programmes for you and your household.

Spearheading the integration of machine learning into cutting-edge electronics

This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machine learning revolution you can be here, leading the charge.

You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What’s special about this group is they do this dozens of times per year working across multiple domains. You can be working on computer vision for one project and generative models for the next. 

Requirements:

• Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch
li>Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly
• A top degree in a STEM subject
• UK national

While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to edge computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc).

Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals’ expertise. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this position.

Another top job from ECM, the high-tech recruitment experts.    

Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV.

Please apply (quoting ref: CV27413 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

Spearheading the integration of machine learning into cutting-edge electronics

This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machine learning revolution you can be here, leading the charge.

You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What’s special about this group is they do this dozens of times per year working across multiple domains. You can be working on computer vision for one project and generative models for the next. 

Requirements:

• Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch
li>Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly
• A top degree in a STEM subject
• UK national

While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to edge computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc).

Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals’ expertise. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this position.

Another top job from ECM, the high-tech recruitment experts.    

Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV.

Please apply (quoting ref: CV27413 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

• Location: Remote (will need to come into London once a month)
• Job Type: Full-time, Permanent
• Must have the Right to Work in the UK (Cannot provide sponsorship)

Join a leading UK consulting and administration business specialising in the pensions and insurance sectors. As an ML Ops Engineer in our Pensions Advisory - Data Analytics department, you will be at the forefront of developing and deploying machine learning models that enhance our consulting capabilities and client offerings.

• Model Development: Collaborate with actuarial analysts to develop machine learning and statistical models for predicting outcomes related to pension schemes. Utilize appropriate algorithms to enhance predictions and automate decision-making processes.
• Machine Learning Operations: Design, deploy, maintain, and refine statistical and machine learning models using Azure ML. Optimize model performance and ensure smooth application operations with large-scale data handling.
• Data Management and Preprocessing: Manage the collection, cleaning, and preprocessing of large datasets. Implement data pipelines and ETL processes to ensure data quality and availability.
• Software Development: Write clean, efficient, and scalable code in Python. Implement CI/CD practices for version control, testing, and code review.
• Collaboration and Training: Work closely with various teams within the organisation to integrate data science findings into practical strategies. Provide training and support to team members on machine learning tools and analytical techniques.
• Research and Development: Stay updated with the latest trends and technologies in data science and pensions to identify opportunities for innovation.

• Essential:
  • Proven experience in designing, building, optimizing, deploying, and managing business-critical machine learning models using Azure ML in production environments.
  • Strong skills in data wrangling using Python, SQL, and ADF .
  • Proficiency in CI/CD, DevOps/MLOps , and version control systems.
  • Familiarity with data visualization and reporting tools, ideally PowerBI.
  • Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders.
• Desirable:
  • Experience in the pensions or similar regulated financial services industry.
  • Experience working within a multidisciplinary team.

• Competitive salary and participation in an annual discretionary bonus scheme.
• 25 days holiday plus options to buy or sell additional holiday.
• Flexible bank holidays and a comprehensive pension scheme with matching contributions.
• Healthcare cash plan and a flexible benefits scheme supporting various aspects of your life.
• Life assurance cover, extensive high street discounts, and access to digital GP services.
• Paid volunteering day and employee assistance programmes for you and your household.

UK BASED APPLICANTS ONLY/ PLEASE DO NOT APPLY IF YOU NEED VISA OR SPONSORSHIP

Talent Hero is a speed and quality driven recruiting agency, dedicated to placing the best UK remote professionals in remote positions with U.S.A businesses.

Candidates who apply through Talent Hero, once vetted, are placed with US companies actively building intelligent, AI-powered products. Well match you with the right .

WHJS1_UKTJ

At Permutable AI, were building intelligent systems to automate market analysis using advanced NLP and multi-LLM frameworks. Our goal is to dramatically accelerate how financial information is processed, understood, and acted on, enabling faster, smarter decisions for financial analysts. As a small, ambitious start-up, youll work directly with our founder and a core team of talented.

WHJS1_UKTJ

We are looking for an excellent ML Ops Engineer to join our research and development team.

Key Responsibilities

This opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack.

This stack covers data acquisition pipelines, data management and ML model training infrastructure (SW and on-prem HW). We use both on-prem, self-managed systems and also leverage AWS infrastructure.

You will have opportunities to guide the technical direction of the ML Ops team, suggest new areas of development and the potential to lead your own project.

Required Skills, Knowledge and Expertise

You will have relevant academic (research Masters level) and/or industry experience.

• Excellent knowledge and experience of managing an on-premise Kubenetes cluster.
• Excellent knowledge of Kubeflow and similar systems, e.g. MLflow
• Good programming ability in Python with familiarity with Linux systems including scripting and system configuration.
• Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc.
• Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools.
• Be able to design and implement MLOps solutions covering many different technologies.

Desirable Skills

• Background in DevOps with exposure to CI systems, e.g. Jenkins
• Familiarity with infrastructure as code, e.g. Ansible
• Experience, aptitude, and a desire to work with human motion, sport, animation tools and techniques.
• Familiarity with C++.