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AI Engineer Jobs in UK with Visa Sponsorship 2024 – Apply Now

An MSc or PhD-level AI engineer or scientist is required. A fast-paced, high-growth biotechnology company requires the assistance of an LLM expert in artificial intelligence and machine learning to implement a revolutionary change in drug discovery.

The ideal candidate will possess extensive knowledge and skills in the field of Natural Language Processing (NLP) and Large Language Models (LLMs), including practical problem-solving capabilities of LLMs like GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone, and more.

You will be well-versed in debugging and adapting ML systems for a variety of scenarios, and you will have a broad interest in machine learning, including parameter-efficient adaptation of large words and vision models. By considering notions such as production-grade machine learning systems, extended context text summarization, and so forth.

To summarise, the candidate will possess expertise in Transformers, API wrapper evaluation (e.g., Auto-GPT and LangChain), semantic search, MLOps, and embedding-based fine refining of natural language processing (NLP) models, including those utilized in Sentence Transformers.

Details About AI Engineer Jobs in UK with Visa Sponsorship:

  • Location: UK
  • Offered Salary: £55,000-£60,000 / year
  • Experience: 5 Year
  • Gender: Both
  • Qualification: Associate Degree
  • Career Level: Executive

Benefits of AI Engineer Jobs in UK with Visa Sponsorship:

  • Visa Sponsorship: Similar to other industries, visa sponsorship is a substantial advantage for foreign nationals seeking employment in the United Kingdom. This sponsorship enables residency and lawful employment in the United Kingdom.
  • High Demand: Renowned for their expertise, AI technologists are in greater demand in the United Kingdom due to the widespread implementation of AI and machine learning technologies in a variety of sectors. This elevated demand generates an abundance of employment prospects and avenues for professional development.
  • Competitive Salaries: Artificial intelligence (AI) engineers generally earn substantial salaries owing to the demand for their specialized expertise and the competitive nature of the field. To retain and recruit highly skilled professionals in their respective fields, businesses in the United Kingdom frequently provide competitive compensation packages.
  • Cutting-Edge Projects: AI engineers are frequently allowed to participate in cutting-edge initiatives that solve complex problems using cutting-edge technologies. Professionals with a penchant for stretching the limits of innovation may find this intellectually stimulating and gratifying.
  • Career Progression: Positions as AI engineers provide prospects for professional growth and the enhancement of one’s skill set. As professionals accumulate expertise and experience in the realm of artificial intelligence and its associated disciplines, they may advance to higher-level positions that entail greater accountability and prospects for leadership.
  • Training and Development: A considerable number of employers offer training and development initiatives to aid AI engineers in augmenting their expertise and remaining current with the most recent developments in the discipline. This ongoing education has the potential to improve employment opportunities and job satisfaction.
  • Work-Life Balance: Despite the tech industry’s reputation for a high-pressure work environment, numerous companies in the United Kingdom emphasize work-life balance by providing AI engineers and other employees with flexible scheduling options. This has the potential to enhance overall welfare and job contentment.
  • Diverse Industry Opportunities: AI engineers are allowed to operate in a multitude of sectors, encompassing finance, healthcare, automotive, retail, and more. The wide array of opportunities provides professionals with the chance to investigate various fields and acquire significant expertise across different industries.
  • Global Networking: Collaboration on international initiatives and global networking are two of the benefits of working as an AI engineer in the United Kingdom. Professionals from various backgrounds can be reached through this position. Establishing a robust professional network has the potential to grant access to novel career prospects and collaborative ventures.
  • Contribution to Society: AI engineers possess the capacity to significantly influence society through the creation of inventive resolutions to practical dilemmas. AI engineers possess the ability to effect positive societal change through their endeavors, which may encompass logistics system optimization, transportation system improvement, or cybersecurity enhancement.

Check Also: Quality and Design Manager Jobs in UK 2024 – Visa Sponsorship

You’ll need:

  • MSc/Ph.D. in AI/Machine Learning, Textual Analysis/Natural Language Processing, or Transformer Technology/Large Language Models; preferably post-doctoral or comparable experience.
  • Knowledge of LLaMA, LangChain, LlamaIndex, Pinecone, GPT-4, Claude, Huggingface, and LLaMA, in addition to NLP and large language models.
  • Proven track record of contributions to significant software and data engineering projects in the AI domain that are related to the life sciences, preferably in the context of drug development and biotechnology startups.
  • A comprehensive understanding of cloud computing environments is required, with an exclusive focus on Amazon Web Services.
  • Gravity, self-awareness, intuition, leadership prowess by nature, and excellent listening abilities

Knowledge of several of the following will be beneficial:

  • The application of AI/ML to challenges in the life sciences.
  • Engineering and data solutions for the design and implementation of bioinformatic workflows, with an emphasis on ML/AI applications.
  • Gaining insight into methodologies employed in the administration of extensive scientific data collections.
  • Expertise in the programming languages Java, C/C++, R, or Python
  • SOA NLP APIs with Frameworks for Machine Learning and Deep Learning
  • Proficiency in converting user requirements into process designs and specifications.
  • Data processing pipeline development and enhancement expertise, Nextflow/Nextflow Tower, SQL/NoSQL
  • Knowledge of utilizing graph databases
  • Having expertise in network science and advanced statistical methods would be an enormous asset.

You will be among a select group of exceptionally talented AI scientists and engineers who are integrated into an extraordinary, problem-solving technological team of international caliber. The aforementioned group will undertake an unprecedented endeavor to develop and implement AI-powered innovations that will aid in the execution of siRNA and computational drug discovery platforms of the next generation.

More Info

  1. How much does an AI engineer earn in UK?

    An AI Engineer makes an average of £55,999 yearly in the United Kingdom. A range of £1,945 to £8,928 is the average additional salary for an AI Engineer in the United Kingdom, with an average of £4,167.

  2. What does an AI engineer do?

    Engineers specialized in artificial intelligence (AI) are charged with the development, programming, and training of the complicated algorithmic networks that compose AI to imitate human cognitive processes. A comprehensive understanding of data science, data engineering, software development, and programming is essential for this position.

  3. Is AI engineering a good career?

    The sector provides a wide range of chances for advancement and adaptability, enabling professionals to work in diverse roles including those of consultants, product developers, or freelancers. In addition, the proficiencies obtained in the field of AI apply to a wide array of sectors, rendering it a flexible and enticing professional option.

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