661 Neural Networks jobs in the United Kingdom

AI Research Engineer
(phone number removed)
Hybrid working, flexibility to travel

REED Technology are working with a client seeking an exceptional AI Research Engineer to take on a pivotal role in shaping the future of Artificial Intelligence in the UK. This position is at the heart of a national initiative, working not only with academic but also with commercial organisations and research bodies, to harness the power of the largest AI machines in the country.

This is a varied and high-impact role, with responsibilities spanning:

• Hands-on technical work - designing, developing, and optimising AI workflows and machine learning systems.
• Outreach & collaboration - running seminars, training sessions, and engaging with academic, public sector, and commercial stakeholders.
• Leadership - guiding a small specialist team of engineers (though this is a smaller element of the role compared to technical delivery).

You will be at the forefront of delivering services and solutions that enable world-leading researchers and organisations to exploit cutting-edge AI at scale.

Key Responsibilities

• Lead technical development on AI workflows, optimisation, and large language models (LLMs).
• Collaborate with researchers, industry partners, and non-technical stakeholders to understand needs and deliver effective AI solutions.
• Provide outreach and training, helping users across the UK to make the most of advanced AI resources.
• Play a hands-on role in coding, testing, and optimising AI applications in high-performance computing environments.
• Contribute to the design and delivery of strategic roadmaps for AI research infrastructure.
• Support and mentor a team of software engineers, ensuring high standards of technical excellence.

This role is ideal for someone who has worked solidly in AI and machine learning and is now looking to apply their expertise on a national stage.

Essential experience and skills:

• Strong track record in AI/ML development and workflows.
• Proven ability to design and optimise workflows for large-scale systems.
• Solid hands-on coding experience (C/C++, Fortran, or similar) with complex, scalable systems.
• Experience with HPC environments and parallelisation techniques (MPI, OpenMP).
• Excellent communication skills, with the ability to work confidently with technical and non-technical audiences.
• Experience engaging with a range of stakeholders, from academic researchers to commercial partners.

Desirable experience:

• Knowledge of heterogeneous parallel programming (CUDA, OpenCL, SYCL).
• Familiarity with LLMs and their applications.
• Experience delivering training, seminars, or public engagement activities.

What's on Offer

• Permanent role with excellent opportunities to shape the future of UK AI research and innovation.
• Hybrid working policy (1/2days a month to various sites)
• The chance to work with the largest AI machines in the UK and contribute to projects with national and international impact.

The successful candidate will be required to undergo a Disclosure and Barring Service (DBS) check as part of the pre-employment service.

Applicants must also have full rights to work in the UK ; visa sponsorship is not available for this position.

If you are interested in this role and have relevant experience, please apply using the link provided.

End DatenThursday 18 September 2025

Salary Rangen£111,809 - £131,540

We support flexible working – click here for more information on flexible working optionsnFlexible Working OptionsnFlexibility in when hours are worked, Hybrid Working, Job Share, Reduced Hours

Job Description SummarynA thought leader in responsible AI development in the Chief Data and Analytics Office. This role will inform the standard for ethical AI development and deployment for the Group especially when it comes to guardrails and technical AI risk mitigation approaches and will contribute to the Group's AI strategy.

Job DescriptionnJOB TITLE:

Responsible AI Development LeadnLOCATION(S):

LondonnHOURS:

Full timenWORKING PATTERN:

Hybrid, 40% (or two days) in the above office sitenAt this exciting time when Lloyds Banking Group is starting to adopt AI at scale, we are seeking a thought leader in responsible AI development to join our AI Centre of Excellence in the Chief Data and Analytics Office! The role will be key to defining the standard to which the Group develops and deploys AI, tracking the latest techniques and informing our approach to guardrails. This role is essential in ensuring that while Lloyds Banking Group scales in its AI adoption, it does so with integrity, transparency, and in accordance with regulatory and societal expectations!nYour work will inform the Group’s AI strategy. You'll be expected to act as a transformative leader, with a strong vision, promoting a culture of safe and ethical AI throughout the organisation, providing thought leadership, and advising senior leaders on responsible AI tooling, guardrails and AI risk mitigation techniques.nKey duties involve:nDemonstrate leadership on guardrails and technical AI risk mitigation approaches to upskill teams across the business.

Drive the development of AI solutions underpinned by robust guardrails, ethical principles, and compliance with governance and regulation, at scale.

Identify opportunities and provide support to embed best in class approaches into AI development workflows.

Work together with our Platform leaders to embed the latest thinking into our enterprise AI tooling.

Accelerate the responsible development and deployment of key AI use cases, including AI agents.

About usnIf you think all banks are the same, you’d be wrong. We’re an innovative, fast-changing business that’s shaping finance as a force for good. A bank that’s empowering its people to innovate, explore possibilities and grow with purpose.nWhat you'll neednPhD in AI, AI Ethics or a related field or equivalent, significant industry experience working in a technical data role.

Deep understanding of emergent AI risks particularly as it relates to Generative AI and Agentic AI, and how to mitigate these risks through tooling and procedures.

Experience developing AI and Generative AI to the highest ethical standards.

A good understanding of Cloud technologies including, Google Cloud Platform (GCP) and the Responsible AI tooling available on GCP / VertexAI.

Ability to make complicated technological concepts simple to senior audiences.

Excellent relationship management with the ability to influence senior partners and course correct initiatives towards strategic outcomes.

About working for usnOur focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms.nWe want our people to feel that they belong and can be their best, regardless of background, identity or culture.nWe were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative.nAnd it’s why we especially welcome applications from under-represented groups.nWe’re disability confident. So, if you’d like reasonable adjustments to be made to our recruitment processes, just let us know.nWe also offer a wide-ranging benefits package, which includes:nA generous pension contribution of up to 15%

An annual bonus award, subject to Group performance

Share schemes including free shares

Benefits you can adapt to your lifestyle, such as discounted shopping

30 days’ holiday, with bank holidays on top

A range of wellbeing initiatives and generous parental leave policies

Want to do amazing work, that’s interesting and makes a difference to millions of people?

Join our journey.nAt Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.nWe keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.nWe're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.

#J-18808-Ljbffrn

Overview

JOB TITLE:

Responsible AI Development LeadnLOCATION(S):

LondonnHOURS:

Full timenWORKING PATTERN:

Hybrid, 40% (or two days) in the above office sitenAt this exciting time when Lloyds Banking Group is starting to adopt AI at scale, we are seeking a thought leader in responsible AI development to join our AI Centre of Excellence in the Chief Data and Analytics Office. The role will be key to defining the standard to which the Group develops and deploys AI, tracking the latest techniques and informing our approach to guardrails. This role is essential in ensuring that while Lloyds Banking Group scales in its AI adoption, it does so with integrity, transparency, and in accordance with regulatory and societal expectations.nYour work will inform the Group’s AI strategy. You'll be expected to act as a transformative leader, with a strong vision, promoting a culture of safe and ethical AI throughout the organisation, providing thought leadership, and advising senior leaders on responsible AI tooling, guardrails and AI risk mitigation techniques.nResponsibilities

Demonstrate leadership on guardrails and technical AI risk mitigation approaches to upskill teams across the business.nDrive the development of AI solutions underpinned by robust guardrails, ethical principles, and compliance with governance and regulation, at scale.nIdentify opportunities and provide support to embed best in class approaches into AI development workflows.nWork together with our Platform leaders to embed the latest thinking into our enterprise AI tooling.nAccelerate the responsible development and deployment of key AI use cases, including AI agents.nAbout us

If you think all banks are the same, you’d be wrong. We’re an innovative, fast-changing business that’s shaping finance as a force for good. A bank that’s empowering its people to innovate, explore possibilities and grow with purpose.nWhat you'll need

PhD in AI, AI Ethics or a related field or equivalent, significant industry experience working in a technical data role.nDeep understanding of emergent AI risks particularly as it relates to Generative AI and Agentic AI, and how to mitigate these risks through tooling and procedures.nExperience developing AI and Generative AI to the highest ethical standards.nA good understanding of Cloud technologies including, Google Cloud Platform (GCP) and the Responsible AI tooling available on GCP / VertexAI.nAbility to make complicated technological concepts simple to senior audiences.nExcellent relationship management with the ability to influence senior partners and course correct initiatives towards strategic outcomes.nAbout working for us

Our focus is to ensure we&aposre inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms.nWe want our people to feel that they belong and can be their best, regardless of background, identity or culture.nWe were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative.nAnd it’s why we especially welcome applications from under-represented groups.nWe’re disability confident. So, if you’d like reasonable adjustments to be made to our recruitment processes, just let us know.nBenefits

We also offer a wide-ranging benefits package, which includes:nA generous pension contribution of up to 15%nAn annual bonus award, subject to Group performancenShare schemes including free sharesnBenefits you can adapt to your lifestyle, such as discounted shoppingn30 days’ holiday, with bank holidays on topnA range of wellbeing initiatives and generous parental leave policiesnWant to do amazing work, that’s interesting and makes a difference to millions of people?

Join our journey.

#J-18808-Ljbffrn

Responsible AI Development Lead page is loaded# Responsible AI Development Leadlocations:

Londontime type:

Full timeposted on:

Posted Todaytime left to apply:

End Date: September 19, 2025 (13 days left to apply)job requisition id:

**End Date**Thursday 18 September 2025**Salary Range**£111,809 - £131,540**Flexible Working Options**Flexibility in when hours are worked, Hybrid Working, Job Share, Reduced Hours**Job Description Summary**A thought leader in responsible AI development in the Chief Data and Analytics Office. This role will inform the standard for ethical AI development and deployment for the Group especially when it comes to guardrails and technical AI risk mitigation approaches and will contribute to the Group's AI strategy.**Job Description***JOB TITLE:** Responsible AI Development Lead**LOCATION(S):** London**HOURS:**

Full time**WORKING PATTERN:** Hybrid, 40% (or two days) in the above office siteAt this exciting time when Lloyds Banking Group is starting to adopt AI at scale, we are seeking a thought leader in responsible AI development to join our AI Centre of Excellence in the Chief Data and Analytics Office! The role will be key to defining the standard to which the Group develops and deploys AI, tracking the latest techniques and informing our approach to guardrails. This role is essential in ensuring that while Lloyds Banking Group scales in its AI adoption, it does so with integrity, transparency, and in accordance with regulatory and societal expectations!Your work will inform the Group’s AI strategy. You'll be expected to act as a transformative leader, with a strong vision, promoting a culture of safe and ethical AI throughout the organisation, providing thought leadership, and advising senior leaders on responsible AI tooling, guardrails and AI risk mitigation techniques.Key duties involve:* Demonstrate leadership on guardrails and technical AI risk mitigation approaches to upskill teams across the business.* Drive the development of AI solutions underpinned by robust guardrails, ethical principles, and compliance with governance and regulation, at scale.* Identify opportunities and provide support to embed best in class approaches into AI development workflows.* Work together with our Platform leaders to embed the latest thinking into our enterprise AI tooling.* Accelerate the responsible development and deployment of key AI use cases, including AI agents.If you think all banks are the same, you’d be wrong. We’re an innovative, fast-changing business that’s shaping finance as a force for good. A bank that’s empowering its people to innovate, explore possibilities and grow with purpose.**What you'll need*** PhD in AI, AI Ethics or a related field or equivalent, significant industry experience working in a technical data role.* Deep understanding of emergent AI risks particularly as it relates to Generative AI and Agentic AI, and how to mitigate these risks through tooling and procedures.* Experience developing AI and Generative AI to the highest ethical standards.* A good understanding of Cloud technologies including, Google Cloud Platform (GCP) and the Responsible AI tooling available on GCP / VertexAI.* Ability to make complicated technological concepts simple to senior audiences.* Excellent relationship management with the ability to influence senior partners and course correct initiatives towards strategic outcomes.**About working for us**Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms.We want our people to feel that they belong and can be their best, regardless of background, identity or culture.We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative.And it’s why we especially welcome applications from under-represented groups.We’re disability confident. So, if you’d like reasonable adjustments to be made to our recruitment processes, just let us know.**We also offer a wide-ranging benefits package, which includes:*** A generous pension contribution of up to 15%* An annual bonus award, subject to Group performance* Share schemes including free shares* Benefits you can adapt to your lifestyle, such as discounted shopping* 30 days’ holiday, with bank holidays on top* A range of wellbeing initiatives and generous parental leave policies**Join our journey.***At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.***We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks.

We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.***We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.**With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers.Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future.n#J-18808-Ljbffrn

Our client is a globally recognized leader in AI innovation and is seeking a visionary Lead AI Ethicist to guide the responsible development and deployment of artificial intelligence technologies. This fully remote position offers the unique opportunity to shape ethical frameworks and governance policies for groundbreaking AI systems, ensuring they are fair, transparent, and beneficial to society.

As the Lead AI Ethicist, you will be responsible for establishing and implementing robust ethical guidelines, conducting impact assessments, and fostering a culture of ethical awareness across all AI development teams. You will work closely with engineers, data scientists, product managers, and legal counsel to integrate ethical considerations into the entire AI lifecycle, from conception to deployment.

Key Responsibilities:

• Develop, refine, and enforce comprehensive ethical principles and guidelines for AI development and deployment.
• Conduct in-depth ethical risk assessments and bias audits for new and existing AI models and applications.
• Collaborate with cross-functional teams to integrate ethical considerations into design, development, testing, and operational processes.
• Provide expert guidance and training on AI ethics, fairness, accountability, and transparency to internal stakeholders.
• Stay current with evolving global regulations, industry best practices, and societal expectations regarding AI ethics.
• Research and propose innovative solutions to address complex ethical challenges in AI, such as algorithmic bias, privacy concerns, and societal impact.
• Engage with external stakeholders, including policymakers, academics, and civil society organizations, to contribute to the broader discourse on AI ethics.
• Develop and implement mechanisms for monitoring and evaluating the ethical performance of deployed AI systems.
• Champion a proactive and preventative approach to ethical AI development across the organization.

Qualifications:

• Advanced degree (Master's or Ph.D.) in Philosophy, Ethics, Law, Computer Science, Social Sciences, or a related field with a specialization in AI ethics or technology ethics.
• Demonstrated experience in developing and implementing ethical frameworks, policies, or standards, preferably in the tech industry or with AI-related projects.
• Strong understanding of AI technologies, machine learning principles, and their potential ethical implications.
• Expertise in areas such as algorithmic bias, fairness metrics, explainable AI (XAI), data privacy, and AI governance.
• Exceptional analytical, critical thinking, and problem-solving skills.
• Excellent written and verbal communication skills, with the ability to influence and engage diverse audiences.
• Proven ability to lead initiatives and drive consensus in complex, multi-stakeholder environments.
• A deep commitment to advancing responsible and beneficial AI for all.

This is a remote-first opportunity, offering flexibility and the chance to make a significant impact on the future of artificial intelligence from anywhere.

Job Title: Contract Deep Learning Engineer Location: London (Hybrid or On-site) Contract Type: 6–12 months (with potential extension) About the Role: We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments, evaluate model performance, and iterate based on results. Maintain clear documentation and contribute to knowledge sharing across the team. Stay up-to-date with the latest research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience with large-scale datasets and distributed training. Knowledge of model interpretability and responsible AI practices. Benefits: Flexible working arrangements (hybrid or remote options available). Opportunity to work on cutting-edge AI projects. Collaborative and innovative team environment.

Job Title: Contract Deep Learning Engineer Location: London (Hybrid or On-site) Contract Type: 6–12 months (with potential extension) About the Role: We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments, evaluate model performance, and iterate based on results. Maintain clear documentation and contribute to knowledge sharing across the team. Stay up-to-date with the latest research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience with large-scale datasets and distributed training. Knowledge of model interpretability and responsible AI practices. Benefits: Flexible working arrangements (hybrid or remote options available). Opportunity to work on cutting-edge AI projects. Collaborative and innovative team environment.

Job Title: Contract Deep Learning Engineer

Location: London (Hybrid or On-site)

Contract Type: 6–12 months (with potential extension)

About the Role:

We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis.

Key Responsibilities:

• Design and implement deep learning models using frameworks such as PyTorch or TensorFlow.
• Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies.
• Optimize model performance and scalability for production environments.
• Conduct experiments, evaluate model performance, and iterate based on results.
• Maintain clear documentation and contribute to knowledge sharing across the team.
• Stay up-to-date with the latest research and techniques in deep learning.

Required Skills & Experience:

• Proven experience in developing and deploying deep learning models in production.
• Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras).
• Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.).
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow).
• Strong problem-solving skills and ability to work independently in a fast-paced environment.

Preferred Qualifications:

• MSc or PhD in Computer Science, Machine Learning, or related field.
• Experience with large-scale datasets and distributed training.
• Knowledge of model interpretability and responsible AI practices.

Benefits:

• Flexible working arrangements (hybrid or remote options available).
• Opportunity to work on cutting-edge AI projects.
• Collaborative and innovative team environment.

Job Title: Contract Deep Learning Engineer

Location: London (Hybrid or On-site)

Contract Type: 6–12 months (with potential extension)

About the Role:

We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis.

Key Responsibilities:

• Design and implement deep learning models using frameworks such as PyTorch or TensorFlow.
• Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies.
• Optimize model performance and scalability for production environments.
• Conduct experiments, evaluate model performance, and iterate based on results.
• Maintain clear documentation and contribute to knowledge sharing across the team.
• Stay up-to-date with the latest research and techniques in deep learning.

Required Skills & Experience:

• Proven experience in developing and deploying deep learning models in production.
• Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras).
• Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.).
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow).
• Strong problem-solving skills and ability to work independently in a fast-paced environment.

Preferred Qualifications:

• MSc or PhD in Computer Science, Machine Learning, or related field.
• Experience with large-scale datasets and distributed training.
• Knowledge of model interpretability and responsible AI practices.

Benefits:

• Flexible working arrangements (hybrid or remote options available).
• Opportunity to work on cutting-edge AI projects.
• Collaborative and innovative team environment.