1,883 Artificial Intelligence jobs in the United Kingdom

Overview

Join us as a Data Scientist, Artificial IntelligencenYou'll be identifying and working with large, complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needednWe'll look to you to actively participate in the data community to identify and deliver opportunities to support the bank's strategic direction through better use of datanThis is an opportunity to achieve excellent exposure in a challenging role and to make a real impact with your worknWhat you'll do

As a Data Scientist, you'll be helping to detect and reduce fraud using machine learning, scientific rigour and advanced statistical methods. You'll be supporting and collaborating with multidisciplinary teams of data engineers and analysts on a wide range of business problems including the prevention of financial crime, understanding customer interactions with the bank and the management of credit risk.nDeveloping and deepening your knowledge of data structures and model performance metrics, advocating for changes where needed for product developmentnCommunicating effectively across our functions and franchises to make business recommendations, gaining business buy-in to solutions tailored to customers' needsnConducting analysis that includes data gathering and requirements specification in collaboration with business stakeholdersnIteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deploymentnIdentifying new methods, tools, techniques and opportunities to deliver business value via cost reduction, income generation or improved customer experience through the application of data sciencenThe skills you'll need

To succeed in this role, you'll need significant experience of developing and deploying supervised machine learning models, including classification algorithms, anomaly detection techniques, and network analysis methods. You'll be familiar with large language models (LLMs) and generative AI technologies.nYou'll also need evidence of previous project implementation and work experience gained in a data analysis related field as part of a multidisciplinary team. Additionally, you'll hold a degree in a quantitative discipline or have evidence of equivalent practical experience.nYou'll also demonstrate:nSound knowledge of Python, SQL, version control (git) and familiarity with agile working practicesnExperience with big data technologies (Spark, Hadoop) and cloud environments (preferably AWS)nExperience articulating and translating business questions and using statistical techniques to arrive at an answer using available datanThe ability to demonstrate leadership, self-direction and a willingness to both teach others and learn new techniquesnExcellent written and verbal communication skills and the ability to adapt the communication style to a specific audiencenExtensive relevant work experience, with emphasis on statistical data analysis such as linear models, multivariate analysis, stochastic models and sampling methodsnExperience with prompt engineering, fine-tuning, and integrating GenAI capabilities via APIs to deliver practical business solutionsnHours

35nJob Posting Closing Date:

08/10/2025nWays of Working:Remote First

#J-18808-Ljbffrn

We’re seeking a highly skilled AI Engineer.  Our client within the technology space is offering innovative projects that solve real-world problems with AI. This role will provide opportunities to work with cutting-edge technologies and deliver impactful AI solutions.

Key Responsibilities:

• Develop, train, and deploy machine learning (ML)  and deep learning  models to solve industry-specific challenges.
• Design scalable data pipelines  and preprocess datasets for training and inference.
• Collaborate with cross-functional teams to integrate AI models into existing systems.
• Research and implement state-of-the-art algorithms for areas like NLP, computer vision, predictive analytics, and generative AI.
• Conduct error analysis  and improve models to address bias, fairness, and explainability.
• Document technical processes and results, ensuring knowledge sharing within teams.

What We’re Looking For:

Technical Skills:

• Proficiency in programming languages like Python , R , or Java .
• Hands-on experience with AI frameworks such as TensorFlow , PyTorch , or scikit-learn .
• Strong knowledge of data preprocessing , feature engineering , and model evaluation metrics .
• Expertise in at least one domain:
• Natural Language Processing (NLP)
• Computer Vision
• Reinforcement Learning
• Generative AI (e.g., GPT, Stable Diffusion)
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for model deployment.
• Strong grasp of mathematics and statistics  (e.g., linear algebra, probability, optimization).

Soft Skills:

• Ability to explain complex AI concepts to non-technical stakeholders.
• Strong problem-solving and critical-thinking skills.
• Passion for continuous learning and staying updated with the latest AI trends.

Requirements

Preferred Qualifications:

• Bachelor's or Master’s degree in Computer Science , Artificial Intelligence , Data Science , or a related field.
• Industry certifications in AI/ML (e.g., AWS AI/ML Certification , Coursera AI Specializations ).
• Previous experience in sectors like healthcare, finance, retail, or autonomous systems is a plus.

Benefits

• Exposure to international markets and the opportunity to work with a diverse team
• Flexible remote working arrangements
• Innovative environment

At Substance, we’re all about action, not just talk. If your profile aligns with what we need, you’ll hear from us within 1-2 weeks. If not, no fluff—just know we value your interest and will keep you in mind for future roles where your skills can make an impact. We focus on real connections and meaningful matches, so when the right opportunity comes, we’ll be ready to make it happen.

Getsubstance.co Pte. Ltd. | EA License No: 24C2398

**Job Description Summary**
Become part of a winning team and help to deliver the Green Energy transition.
Support AI / ML Algorithms and Techniques for Grid Automation and Renewables solutions and work on customer value-driven applications / analytics.
Challenging and rewarding internships are now open for application.
This role provides an opportunity for talented students who are pursuing a degree in Machine Learning and Artificial Intelligence, or a related field to work alongside industry experts in Research and Development. This internship opportunity is designed to give you hands-on experience with cutting-edge technologies, contributing to real projects that impact our customers and the business.
**Job Description**
**Essential Responsibilities:**
+ Support AI/ML Algorithms and Techniques for Grid Automation and Renewables solutions and work on customer value-driven applications/analytics.
+ Gain hands-on professional experience in Matlab for generating AI/ML Algorithms.
+ Gain valuable understanding and experience in the application of data analytics for Electrical Power System / Industrial OT systems.
**Qualifications / Requirements:**
+ The candidate is currently pursuing a Bachelor's or Master's Degree in Machine Learning / Artificial Intelligence, IT, Computer Science or a related field with an accredited university.
+ Knowledge in Machine Learning/Deep learning methods - LLM, NLP, Computer Vision/ Image Processing.
+ Knowledge of Machine Learning models, such as predictive maintenance, load forecasting and grid optimization.
+ Experienced with Microsoft Word, PowerPoint, Excel.
**Desired Characteristics:**
+ Excellent problem-solving and root cause identification skills.
+ A great attention to detail and a commitment to data accuracy.
+ Ability to work collaboratively in a team environment.
+ Self-motivating, proactive and results driven approach.
+ Able to work to deadlines with good quality
+ Willing to listen, learn and support the rebranding project
+ Proficient in the English language, both written and verbal.
+ Effective communication skills
**About GE Vernova Grid Solutions**
GE Vernova is a purpose-built global energy company that includes Power, Wind, and Electrification segments and is supported by its accelerator businesses of Advanced Research, Consulting Services, and Financial Services. Building on over 130 years of experience tackling the world's challenges, GE Vernova is uniquely positioned to help lead the energy transition by continuing to electrify the world while simultaneously working to decarbonize it. GE Vernova helps customers power economies and deliver electricity that is vital to health, safety, security, and improved quality of life. GE Vernova is headquartered in Cambridge, Massachusetts, U.S., with more than 80,000 employees across 140+ countries around the world. **GE Vernova's Grid Solutions business** electrifies the world with advanced grid technologies and systems, enabling power transmission and distribution from the point of generation to point of consumption, and supporting a decarbonized and secured energy transition.
GE Vernova's mission is embedded in its name - it retains its legacy, "GE," as an enduring and hard-earned badge of quality and ingenuity. "Ver" / "verde" signal Earth's verdant and lush ecosystems. "Nova," from the Latin "novus," nods to a new, innovative era of lower carbon energy. Supported by the Company Purpose, The Energy to Change the World, GE Vernova will help deliver a more affordable, reliable, sustainable, and secure energy future. Learn more: GE Vernova ( and LinkedIn ( .
At GE Vernova - Grid Automation, you will have the opportunity to work on cutting-edge projects that shape the future of energy. We offer a collaborative environment where your expertise will be valued, and your contributions will make a tangible impact. Join us and be part of a team that is driving innovation and excellence in control systems.
**About GE Grid Solutions:**
At GE Grid Solutions we are electrifying the world with advanced grid technologies. As leaders in the energy space our goal is to accelerate the transition for a more energy efficient grid to full fill the needs of tomorrow. With a focus on growth and sustainability GE Grid Solutions plays a pivotable role in integrating Renewables onto the grid to drive to carbon neutral. In Grid Solutions we help enable the transition for a greener more reliable Grid. GE Grid Solutions has the most advanced and comprehensive product and solutions portfolio within the energy sector.
**Why we come to work:**
At GE Renewable Energy, our engineers are always up for the challenge - and we're always driven to find the best solution. Our projects are unique and interesting, and you'll need to bring a solution-focused, positive approach to each one to do your best. Surrounded by committed, loyal colleagues, if you can dare to bring your ingenuity and desire to make an impact, you'll be exposed to game-changing, diverse projects that truly allow you to play your part in the energy transition.
**What we offer:**
A key role in a dynamic, international working environment
**Additional Information**
**Relocation Assistance Provided:** No
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

AI (artificial intelligence) DevOps Engineer Azure Kubernetes Service (AKS),

Brilliant new opportunity for a AI DevOps Engineer with expertise in Azure Kubernetes Service (AKS), Helm, and KEDA to join a thriving STEM business who are heavily investigating in their AI (artificial intelligence) Platform including build a best in class AI (artificial intelligence) Platform with custom build of everything

Role details

• Title : AI (artificial intelligence) DevOps Engineer
• Location: can be based in either Glasgow or London City, 1 or 2 days a week in the office and home working hybrid
• Permanent role- salary 70,000- 90,000

About the job

An exciting opportunity for a talented AI DevOps Engineer, you will focused on looking at areas where AI can add improvements, as everything is being custom built rather than off the shelf

As an AI DevOps Engineer, you will be responsible for building and managing scalable, secure infrastructure for our multi-agent AI orchestration platform. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation

We do have other artificial intelligence roles in the team including AI (artificial intelligence) test Engineer roles, so please do send through a CV still if that is more in line with your expectations

What are the key expectations of this role?

• This role involves working across multiple Azure regions (UK South, Sweden Central, East US) to ensure high availability, secure deployments, and efficient agent orchestration using AKS.

• You will create and maintain CI/CD pipelines for Azure services, Semantic Kernel agents, manage Kubernetes clusters, and integrate observability tools to monitor system health and performance.

• You'll also ensure alignment with enterprise-grade security practices, including zero trust principles, identity-aware routing, and integration with Azure API Management and Application Gateway.

Skills, Knowledge & Experience

• Expertise in Azure Kubernetes Service (AKS), Helm, and KEDA
• Infrastructure-as-code using Bicep or ARM templates
• Hands-on experience with CI/CD pipelines (e.g., Bitbucket, Azure DevOps)
• API Gateway, Azure API Management (APIM), Azure Application Gateway
• Monitoring tools such as Prometheus, Grafana, and Azure Monitor
• Understanding of secure multi-region deployments and network segmentation

Remote Working

Expected to be in the office 1 to 2 days a week. With additional days depending on activity (e.g. a design workshop)

This is a brilliant opportunity for a talented AI DevOps Engineer to join this business as they are genuinely growing and developing for a world class artificial intelligence AI Platform

To find out more about Huxley, please visit (url removed)

Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

AI (artificial intelligence) DevOps Engineer Azure Kubernetes Service (AKS),

Brilliant new opportunity for a AI DevOps Engineer with expertise in Azure Kubernetes Service (AKS), Helm, and KEDA to join a thriving STEM business who are heavily investigating in their AI (artificial intelligence) Platform including build a best in class AI (artificial intelligence) Platform with custom build of everything

Role details

• Title : AI (artificial intelligence) DevOps Engineer
• Location: can be based in either Glasgow or London City, 1 or 2 days a week in the office and home working hybrid
• Permanent role- salary 70,000- 90,000

About the job

An exciting opportunity for a talented AI DevOps Engineer, you will focused on looking at areas where AI can add improvements, as everything is being custom built rather than off the shelf

As an AI DevOps Engineer, you will be responsible for building and managing scalable, secure infrastructure for our multi-agent AI orchestration platform. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation

We do have other artificial intelligence roles in the team including AI (artificial intelligence) test Engineer roles, so please do send through a CV still if that is more in line with your expectations

What are the key expectations of this role?

• This role involves working across multiple Azure regions (UK South, Sweden Central, East US) to ensure high availability, secure deployments, and efficient agent orchestration using AKS.

• You will create and maintain CI/CD pipelines for Azure services, Semantic Kernel agents, manage Kubernetes clusters, and integrate observability tools to monitor system health and performance.

• You'll also ensure alignment with enterprise-grade security practices, including zero trust principles, identity-aware routing, and integration with Azure API Management and Application Gateway.

Skills, Knowledge & Experience

• Expertise in Azure Kubernetes Service (AKS), Helm, and KEDA
• Infrastructure-as-code using Bicep or ARM templates
• Hands-on experience with CI/CD pipelines (e.g., Bitbucket, Azure DevOps)
• API Gateway, Azure API Management (APIM), Azure Application Gateway
• Monitoring tools such as Prometheus, Grafana, and Azure Monitor
• Understanding of secure multi-region deployments and network segmentation

Remote Working

Expected to be in the office 1 to 2 days a week. With additional days depending on activity (e.g. a design workshop)

This is a brilliant opportunity for a talented AI DevOps Engineer to join this business as they are genuinely growing and developing for a world class artificial intelligence AI Platform

To find out more about Huxley, please visit (url removed)

Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

Our client, a leading university with a strong reputation for research and innovation, is seeking an experienced and passionate Senior Lecturer in Artificial Intelligence to join their academic faculty in Milton Keynes, Buckinghamshire, UK . This hybrid role offers a dynamic blend of on-campus teaching and research activities, alongside the flexibility of remote work for certain duties. You will be responsible for delivering high-quality undergraduate and postgraduate teaching in AI and related fields, developing innovative course materials, and conducting cutting-edge research that contributes to the advancement of AI knowledge. The ideal candidate will have a PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related discipline, coupled with a proven track record of academic publications and research funding. You should possess excellent pedagogical skills, with the ability to engage and inspire students from diverse backgrounds. Responsibilities include supervising student research projects, contributing to departmental administration, and fostering collaborations with industry partners. A strong research profile and a commitment to excellence in teaching and learning are essential. This is an exciting opportunity for an established academic to make a significant impact on AI education and research within a respected institution.

Responsibilities:

• Deliver engaging and high-quality lectures and tutorials in Artificial Intelligence, Machine Learning, and related subjects at undergraduate and postgraduate levels.
• Develop and update course curricula, teaching materials, and assessment methods to reflect the latest advancements in AI.
• Conduct independent and collaborative research in Artificial Intelligence, publishing findings in leading academic journals and conferences.
• Secure research grants and funding to support ongoing research projects.
• Supervise and mentor Master's and PhD students in their research endeavours.
• Contribute to the academic administration and management of the department.
• Foster strong links with industry partners, facilitating research collaborations and student placements.
• Promote the department's research profile through presentations and public engagement activities.
• Contribute to the development of new academic programmes and initiatives.
• Maintain professional development and stay abreast of emerging trends in AI and higher education.

Qualifications:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Demonstrable track record of high-quality research and publications in reputable AI venues.
• Proven experience in teaching and curriculum development at university level.
• Excellent pedagogical skills and ability to inspire and mentor students.
• Experience in securing research funding and managing research projects.
• Strong communication, presentation, and interpersonal skills.
• Ability to work effectively both independently and as part of a collaborative team.
• Familiarity with AI ethics and societal implications is desirable.
• Experience with online and blended learning environments.
• Membership in relevant professional bodies is an advantage.

Join our vibrant academic community in Milton Keynes, Buckinghamshire, UK and contribute to shaping the next generation of AI professionals and researchers.

Our client, a prestigious academic institution, is seeking an experienced and passionate Senior Lecturer in Artificial Intelligence to contribute to its renowned Computer Science department. This is an exciting opportunity to join a vibrant academic community and shape the future of AI education and research. The successful candidate will be responsible for delivering high-quality teaching at undergraduate and postgraduate levels, conducting independent research, and contributing to the academic leadership of the AI program. You will engage with students, foster an environment of intellectual curiosity, and publish impactful research in leading AI journals and conferences.

Key Responsibilities:

• Deliver engaging and informative lectures, tutorials, and practical sessions in various areas of Artificial Intelligence, Machine Learning, and Data Science.
• Develop and update course materials to reflect the latest advancements in the field.
• Supervise student research projects, dissertations, and theses.
• Conduct high-quality, impactful research in Artificial Intelligence, leading to publications in peer-reviewed journals and presentations at international conferences.
• Secure research funding through grant applications and collaborative projects.
• Contribute to the development and enhancement of the AI curriculum.
• Participate in departmental administrative duties and contribute to the strategic planning of the university.
• Mentor and support junior faculty members and research staff.
• Foster strong links with industry and professional bodies to enhance the relevance and impact of the AI program.
• Promote a positive and inclusive learning environment for all students.

Qualifications:

• A PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
• A strong track record of high-quality research and publications in reputable AI venues.
• Demonstrable experience in teaching and curriculum development at the university level.
• Experience in securing research grants and managing research projects.
• Excellent communication, presentation, and interpersonal skills.
• Ability to inspire and motivate students and colleagues.
• A collaborative and team-oriented approach to academic work.
• Evidence of academic leadership or a clear potential for it.
• Experience in the Belfast, Northern Ireland, UK academic sector is a plus.

This role is based at our client's campus in Belfast, Northern Ireland, UK and requires a dedicated academic with a passion for advancing knowledge and nurturing the next generation of AI experts.

Our client, a prestigious academic institution in the Education & Teaching sector, is seeking an experienced Senior Lecturer to join their faculty and contribute to their renowned Artificial Intelligence program. This is an exceptional opportunity for a scholar with a passion for teaching, research, and curriculum development in the rapidly evolving field of AI. You will be responsible for delivering high-quality lectures, conducting groundbreaking research, supervising postgraduate students, and contributing to the academic leadership of the department. The ideal candidate will possess a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline, with a strong publication record in reputable journals and conferences. Demonstrated experience in teaching at the university level, including curriculum design and student mentoring, is essential. You should have expertise in key AI areas such as machine learning, deep learning, natural language processing, computer vision, or robotics. The ability to secure research funding and collaborate with industry partners is highly desirable. This role involves fostering a vibrant learning environment, promoting critical thinking, and inspiring the next generation of AI professionals. Located in **Birmingham, West Midlands, UK**, this position offers a stimulating academic atmosphere and the chance to make a significant contribution to the field.
Key Responsibilities:

• Deliver engaging and informative lectures and seminars on Artificial Intelligence and related subjects at undergraduate and postgraduate levels.
• Conduct independent and collaborative research in a specialized area of AI, publishing findings in high-impact venues.
• Supervise Master's and Ph.D. students' research projects.
• Develop and update course curricula to reflect current advancements in AI.
• Contribute to the academic administration and strategic planning of the department.
• Mentor students, providing academic and career guidance.
• Seek and secure external research funding through grant applications.
• Collaborate with researchers nationally and internationally, as well as with industry partners.
• Contribute to the positive and inclusive academic culture of the university.
• Promote AI literacy and ethical considerations within the curriculum and broader community.

Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
• A strong and demonstrable track record of research output, including peer-reviewed publications in leading AI conferences and journals.
• Proven experience in teaching at the university level, with a passion for educating students.
• Expertise in one or more core AI sub-fields such as machine learning, deep learning, NLP, computer vision, or robotics.
• Experience in curriculum development and academic program leadership.
• Excellent communication, presentation, and interpersonal skills.
• Ability to attract research funding and manage research projects.
• Experience supervising postgraduate students is highly valued.
• A commitment to fostering an inclusive and collaborative research and teaching environment.
• Familiarity with industry applications of AI is an advantage.

Our client, a highly reputable university, is seeking an accomplished Senior Lecturer in Artificial Intelligence to contribute to its esteemed Computer Science department in **Portsmouth, Hampshire, UK**. This academic role involves delivering high-quality teaching and supervision at undergraduate and postgraduate levels, conducting impactful research, and contributing to the strategic development of AI-related programmes. The ideal candidate will possess a strong academic record, a passion for teaching, and a demonstrable commitment to research excellence in AI and its sub-fields.

Key responsibilities include:

• Developing and delivering engaging lectures, tutorials, and laboratory sessions in core AI topics such as machine learning, deep learning, natural language processing, computer vision, and robotics.
• Designing and updating curriculum content to reflect the latest advancements in Artificial Intelligence.
• Supervising undergraduate and postgraduate student research projects, dissertations, and theses.
• Conducting independent, high-quality research leading to publications in leading academic journals and conferences.
• Securing research funding through grant applications and collaborations.
• Contributing to the administrative and strategic management of the department, including committee work and programme leadership.
• Mentoring junior academic staff and contributing to the development of a vibrant research community.
• Engaging with industry partners to foster collaboration and enhance the employability of graduates.
• Promoting the university's research and teaching activities externally.
• Undertaking any other reasonable duties as required by the Head of Department.

A PhD in Computer Science, Artificial Intelligence, or a closely related field is essential. Significant experience in teaching AI-related subjects at university level, along with a strong publication record in reputable venues, is required. Demonstrated ability to attract research funding and a clear research agenda are highly desirable. Excellent communication, presentation, and interpersonal skills are paramount. This is a fantastic opportunity for an experienced academic to advance their career in AI research and education within a supportive and dynamic environment in **Portsmouth, Hampshire**.