Exciting AI Job Opportunities in the UK: Apply Today

Discover these exciting AI job opportunities in the UK

Artificial intelligence (AI) is one of the most exciting and innovative fields in the world today, with applications ranging from healthcare and education to entertainment and finance. The UK is a global leader in AI research and development, with a vibrant and supportive ecosystem of universities, companies, and organisations. The UK also offers a variety of AI jobs across different sectors and levels, from entry-level to senior positions, and from technical to non-technical roles. In this article, we will introduce you to some of the most exciting AI job opportunities in the UK, highlighting the roles and responsibilities, skills and qualifications.

MLabs

AI Researcher

Responsibilities:

The chosen applicant will play a critical role in advancing our research and development activities. They will primarily concentrate on building and refining sophisticated AI algorithms. This post will entail working on our inventions, namely an efficient transform built for studying stock market data. These ideas are aimed at financial banks, high-frequency traders, and hedge funds for licencing. The applicant will play an active role in the development and validation of neural network compression and stock data transformation.

Apply here

cfdx

AI Researcher

Key Responsibilities:

Conduct ground-breaking NLP research, including but not limited to Foundational LLM Training for Genomic Data.

Create cutting-edge models for genomic tasks, specify measurements, datasets, and benchmarks, and make these models/datasets available as open source to the scientific community.

Publish at the greatest level possible.

Create and execute rigorous assessment methods for evaluating the performance of NLP models.

Keep up with the latest breakthroughs in AI and NLP research, and help to build new solutions and methods.

Apply here

Terra

AI Engineer

Responsibilities:

As an AI engineer, you'll be part of a small team with complete autonomy.

Work behind the scenes, developing, testing, and deploying AI models.

Work with data, machine learning, and natural language processing. –

Improving the AI's performance, among other things.

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SWEEP

ML/AI Engineer

Responsibilities:

Work with cross-functional teams to create and implement algorithms to solve business problems.

Data analysis is used to find patterns and trends that lead to product enhancements.

Improving and optimising current models for greater accuracy and efficiency.

Working with the product management team to develop new features and solutions.

Communicating complicated technological thoughts and ideas to non-technical stakeholders effectively.

Apply here

Pixalate

AI Engineer

Responsibilities:

Create and deploy AI systems, such as Natural Language Processing (NLP) systems and Large Language Models (LLMs) like GPT.

Deploy on cloud computing platforms such as AWS, GCP, and others.

Creating and deploying machine learning models in production contexts, including LLM-based models.

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Energy Jobline

AI/ML Engineer

Responsibilities:

Identifying AI/ML issues and developing effective solutions.

Related data processing and analysis.

Creating and training incredible AI/ML models.

Accelerating deployment and integration.

Maintaining and monitoring the models you design.

Excellent communication and teamwork skills.

Demonstrating a strong desire for ongoing learning and innovation.

Apply here

Rapid7

AI Engineer II – Platform

Responsibilities:

Develop AI/ML/data science models with an emphasis on providing customer value.

With instruction and direction, you may explore, investigate, and solve challenges while expanding your knowledge.

Accept responsibility for the quality of your own work while also influencing the work of others.

Be a first-rate participant in all aspects of the AI R&D process.

Establish fruitful cross-functional relationships with teams such as engineering, UX, consumer research, and product management.

Give new team members informal guidance.

Apply here

Splash Damage

Lead AI Engineer

Responsibilities:

As a Lead AI Engineer, you will be in charge of leading your team's work from architectural design to implementation, with the goal of providing the greatest player experience possible.

Working closely with the design and engineering departments, you will analyse your team members' abilities and talents and leverage their expertise to identify risk, establish roadmaps, and become a force multiplier for your team, mentoring them along the way.

Apply here

Contentive

AI Content Coordinator

Responsibilities

Contentive is recruiting for an AI Content Strategist to design and implement content strategies that use artificial intelligence and machine learning technologies to generate, curate, and optimise digital material. This is a brand-new position that combines skills in content development, data analysis, and artificial intelligence (AI) to improve overall content quality and user experience.

Apply here

WARNERMEDIA

Senior AI Programmer

Qualification:

Advanced knowledge of C/C++ (additional languages and platforms are a plus).

Experience in AI behaviour development is required. Specifically, demo or deployed features.

Knowledge of behaviour trees, state machines, utility systems, and pathfinding is required.

Passionate with game AI and related approaches such as behaviour modelling, automated planning, world state representation, and so on.

Knowledge of several development approaches, such as Lean and Agile, and when to use them.

A critical eye for what makes for good (or awful) gaming Unreal Engine experience.

Apply here