1,375 Neural Networks jobs in the United Kingdom

• Assist in the design, coding, and implementation of AI models and algorithms.
• Support the development and testing of AI-powered software applications.
• Collaborate with senior engineers and researchers on research and development projects.
• Write clean, efficient, and well-documented code.
• Participate in code reviews and contribute to team discussions.
• Analyze data and assist in the training and evaluation of AI models.
• Contribute to the documentation of software designs and processes.
• Learn and apply new technologies and methodologies in AI and machine learning.
• Assist in the integration of AI components into existing systems.
• Troubleshoot and debug software issues.

• Recent graduate with a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
• Strong foundation in programming languages such as Python, Java, or C++.
• Understanding of AI concepts, machine learning principles, and data structures.
• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities, suitable for remote collaboration.
• Eagerness to learn and adapt to new technologies.
• Self-motivated with the ability to work independently and manage time effectively.
• A keen interest in Artificial Intelligence and its applications.

• Assisting in the design, development, and testing of AI and machine learning models.
• Writing clean, efficient, and well-documented code in languages such as Python, Java, or C++.
• Collaborating with senior engineers to implement AI solutions for various applications.
• Participating in code reviews and contributing to the improvement of software development processes.
• Researching and evaluating new AI technologies and frameworks.
• Analyzing and processing large datasets to train machine learning models.
• Contributing to the documentation of AI algorithms and software components.
• Working effectively within a distributed team using agile methodologies and remote collaboration tools.
• Learning and applying best practices in software engineering and AI development.
• Presenting findings and project progress to the team.

• A recent graduate (or soon-to-be graduate) with a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
• Strong programming skills in at least one object-oriented programming language (e.g., Python, Java, C++).
• Familiarity with AI/ML concepts, algorithms, and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• A solid understanding of data structures, algorithms, and software development principles.
• Excellent problem-solving abilities and a keen analytical mindset.
• Strong written and verbal communication skills, essential for remote collaboration.
• Proactive attitude, eagerness to learn, and ability to work independently in a remote environment.
• Experience with version control systems (e.g., Git) is a plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) is advantageous.

• Developing and implementing comprehensive AI ethics principles, policies, and governance frameworks.
• Conducting thorough ethical impact assessments for new AI products and features.
• Advising product and engineering teams on ethical considerations in AI design, development, and deployment.
• Researching emerging ethical challenges and best practices in AI and machine learning.
• Fostering a culture of responsible AI development within the organization through training and awareness programs.
• Collaborating with external stakeholders, including researchers, policymakers, and industry bodies, on AI ethics initiatives.
• Interpreting and applying relevant regulations and standards related to AI and data privacy.
• Communicating complex ethical issues to diverse audiences, including technical and non-technical stakeholders.
• Contributing to the company's thought leadership in the field of responsible AI.

• Lead the planning, execution, and delivery of sophisticated AI and machine learning projects.
• Define project scope, goals, and deliverables that support business objectives, in collaboration with senior management and stakeholders.
• Develop detailed project plans, including timelines, resource allocation, and budget management.
• Manage and motivate cross-functional project teams, fostering a collaborative and high-performance culture.
• Implement and oversee agile project management methodologies, ensuring iterative development and continuous improvement.
• Identify, assess, and mitigate project risks and dependencies.
• Facilitate effective communication among project stakeholders, including technical teams, product owners, and executive leadership.
• Track project progress, milestones, and key performance indicators (KPIs), reporting regularly to senior management.
• Ensure the quality and integrity of project deliverables, adhering to industry best practices and company standards.
• Manage vendor relationships and third-party integrations as required.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications.

Our Mission

At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.

Vision

In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization.

Solution

As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs.

Responsibilities:

• Train policies via representation learning, behaviour cloning and RL; own the full loop from data to deployment.
• Partner with teleoperations to drive data collection: specify what “good” looks like, ensure diversity/coverage, and close the gap between sim and real.
• Run pre-, mid- & post-training on multimodal LLM/VLM/VLA stacks; plug in new modalities (vision, audio, proprioception, LiDAR/point clouds, …) without breaking existing ones.
• Build and maintain continuous pipelines: ingest simulation + tele‑op logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining.
• Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference.

Requirements:

• 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it.
• Hands‑on with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference.
• Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies.
• Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code.
• You document experiments clearly and communicate trade‑offs crisply.

Nice-to-Have:

• Robotics or autonomous driving experience.
• RL for LLMs or robotics (PPO, DPO, SAC, etc.).
• Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization).
• Publications at ICLR/ICML/NeurIPS or equivalent open‑source contributions.
• Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks.

What We Offer:

• Competitive salary plus participation in our Stock Option Plan
• Paid vacation and travel opportunities to our London, Vancouver, and Boston offices
• Office perks: free breakfasts, lunches, snacks, and regular team events
• Freedom to influence the product and own key initiatives
• Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics
• Startup culture prioritising speed, transparency, and minimal bureaucracy

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications.

Our Mission

At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.

Vision

In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization.

Solution

As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs.

Responsibilities:

• Train policies via representation learning, behaviour cloning and RL; own the full loop from data to deployment.
• Partner with teleoperations to drive data collection: specify what “good” looks like, ensure diversity/coverage, and close the gap between sim and real.
• Run pre-, mid- & post-training on multimodal LLM/VLM/VLA stacks; plug in new modalities (vision, audio, proprioception, LiDAR/point clouds, …) without breaking existing ones.
• Build and maintain continuous pipelines: ingest simulation + tele‑op logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining.
• Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference.

Requirements:

• 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it.
• Hands‑on with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference.
• Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies.
• Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code.
• You document experiments clearly and communicate trade‑offs crisply.

Nice-to-Have:

• Robotics or autonomous driving experience.
• RL for LLMs or robotics (PPO, DPO, SAC, etc.).
• Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization).
• Publications at ICLR/ICML/NeurIPS or equivalent open‑source contributions.
• Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks.

What We Offer:

• Competitive salary plus participation in our Stock Option Plan
• Paid vacation and travel opportunities to our London, Vancouver, and Boston offices
• Office perks: free breakfasts, lunches, snacks, and regular team events
• Freedom to influence the product and own key initiatives
• Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics
• Startup culture prioritising speed, transparency, and minimal bureaucracy

• Conduct cutting-edge research on AI ethics, bias, fairness, transparency, and accountability.
• Develop and implement frameworks, policies, and best practices for responsible AI development and deployment.
• Collaborate closely with AI/ML engineers, data scientists, and product managers to integrate ethical considerations into system design and implementation.
• Perform ethical risk assessments for new and existing AI systems.
• Advise on regulatory compliance and industry standards related to AI ethics.
• Contribute to public discourse and thought leadership on AI ethics through publications, presentations, and workshops.
• Develop training materials and conduct workshops for internal teams on AI ethics principles.
• Monitor evolving societal and technological trends to anticipate future ethical challenges in AI.
• Engage with external stakeholders, including academics, policymakers, and civil society organisations.

• Advanced degree (PhD preferred) in Computer Science, Philosophy, Law, Social Sciences, or a related field with a specialization in AI ethics or responsible AI.
• Demonstrated experience in conducting research and publishing in the field of AI ethics.
• Strong understanding of AI/ML technologies and their societal implications.
• Excellent analytical, critical thinking, and problem-solving skills.
• Proven ability to translate complex ethical concepts into actionable guidelines.
• Exceptional written and verbal communication skills.
• Experience in policy development or ethical review processes is a plus.
• Ability to work effectively in a multidisciplinary and fast-paced research environment.

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.