1,858 AI Development 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.

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.

Senior & Principal Applied AI Scientists – Automated Labs & Generative Modelling

Oxford/London | Hybrid | Full-time

• A top quartile salary designed to attract and reward world-class talent, plus comprehensive benefits (private medical, pension, income protection, enhanced holiday).
• Electric car scheme & lifestyle perks.
• A collaborative culture that values curiosity, resilience, and creativity.
• You'll be working with a world-class team.

Are you ready to join one of the most ambitious and rapidly scaling AI teams being built in Europe right now?

We’re assembling an elite group of researchers and engineers, drawing talent from FAANG, leading AI scaleups, and cutting-edge academic labs, to tackle some of the biggest scientific challenges of our time.

This is your chance to apply AI and automation at scale to reimagine how discovery happens in materials science, chemistry, and the life sciences.

Why this role matters

• Leveraging generative modelling, robotics, and autonomous experimentation to accelerate breakthroughs in chemistry, biology, and materials.
• Partner with leading scientists, engineers, and technologists from across the globe.
• Contribute to programmes that with strong humanitarian impact.
• Help build automated, data-driven research pipelines that move ideas from concept to solution faster than ever before.

What you’ll do

• Lead and contribute to the design and implementation of AI-driven discovery pipelines.
• Apply deep learning, foundation models, and generative approaches to problems in chemistry, materials, and the biosciences.
• Integrate with automated labs and high-throughput platforms to run closed-loop experiments.
• Collaborate with domain experts to ensure solutions address real scientific needs.
• Mentor and guide other scientists, setting the standard for technical excellence.

What we’re looking for

• PhD (or equivalent) in ML/AI, computational sciences, chemistry, materials, or related fields.
• Proven experience applying state-of-the-art ML models to real-world problems.
• Experience with generative modelling and/or automated laboratory systems.
• Strong track record of working with complex, large-scale scientific data.
• Excellent communication and the ability to work across disciplines.

Nice to have

• Experience in high-impact scientific domains (chemistry, drug discovery, materials, biology).
• Background in start-ups or fast-paced R&D environments.

Deep Learning Libraries Engineer

£80,000 - £100,000 & stock options

I am partnered with a cutting-edge hardware scale up, focused on RISC-V computing platforms, aiming to transform the industry. They are looking for a Deep Learning Libraries Engineer to Design and implement critical parts of the DL libraries, including kernels used by PyTorch, using C++. You'll also be contributing to the performance analysis flow for optimisation and to the functional and performance ISA simulators.

They have recently achieved significant Series A funding, therefore looking to considerably expand their Cambridge team. They are looking for someone that's passionate about high-performance systems and being able to to have an influence on the architectural decisions of the hardware engine.

What's required for this Deep Learning Libraries Engineer position?

• Strong C++ development skills
• Knowledge of parallel programming languages - CUDA, OpenCL, MPI, OpenMP etc
• Experience developing numerical Libraries
• Strong background in dense linear algebra software

If you are a Deep Learning Libraries Engineer looking for an exciting opportunity within a well-funded, growing scale-up, please apply to learn more!

If you are interested in this, or other software opportunities across the UK, please contact Jack Bird.