229 Neural Networks jobs in London

Deep Learning Engineer_Manipulation

London, London Humanoid

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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
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Deep Learning Engineer_Manipulation

London, London Humanoid

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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
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Deep Learning Engineer_Manipulation

London, London Humanoid

Posted 2 days ago

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Job Description

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
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Deep Learning Scientist

London, London Amazon

Posted 5 days ago

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Description
We are the Text-to-Speech Research team and our goal is to improve the core technology to improve Alexa's voice and make it more human-like and expressive.
We are looking for a passionate, talented, and inventive Scientist with a strong background in Machine/Deep Learning to join us in beautiful Cambridge, UK. Our mission is to push the envelope in computer-generated speech in order to provide the best-possible experience for our customers
As an applied scientist, you will work with talented peers to develop novel algorithms and modelling techniques to advance the state-of-the-art in spoken language generation. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in computer generated speech.
Position Responsibilities:
- Research and implement novel Machine/Deep Learning approaches which add value to Amazon
- Lead and Mentor junior engineers and scientists
- Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for spoken language applications
- Develop and/or apply statistical modelling methods (e.g. deep neural networks), optimizations, and other ML techniques to different applications in spoken language engineering
Basic Qualifications
- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in building machine learning models for business application
Preferred Qualifications
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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(Gen)AI Development Lead (m/f/d) - Banking Solutions

London, London SAP Fioneer

Posted 26 days ago

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Permanent

About SAP Fioneer 

At SAP Fioneer, innovation drives everything we do. Spun out from SAP, we combine agility, cutting-edge delivery, and financial services expertise to build the next generation of banking software. 

Our mission: Enable banks to achieve speed, scalability, and cost-efficiency through digital innovation, cloud-native technology, and solutions that cover core banking processes end-to-end. With rapid global growth, a lean structure, and a collaborative culture, SAP Fioneer is the place to accelerate your career. 

The Role 

We are seeking a (Gen)AI Development Lead (m/f/d) to spearhead AI feature development for our banking products. You’ll be the central driver of our GenAI strategy—designing, coding, and deploying production-grade features that integrate into our core banking software. 

This is a hands-on technical leadership role. You will build prototypes, deliver production-ready code, and define the technical vision for AI within SAP Fioneer. You will also grow and mentor a dedicated AI development team and ensure best practices for scalable, secure AI solutions. 

What You’ll Do 

  • Lead the technical design, development, and deployment of (Gen)AI-powered features for our banking products 
  • Be part of the complete innovation process for AI capabilities – all the way from rapid prototypes and demos to production-grade solutions that can be deployed at large banks globally 
  • Work closely with core banking solutions and data – enabling AI agents to interact with transaction data, automate business processes, and generate insights as well as recommendations for our banking customers and their clients 
  • Lead and further grow a high-performing AI development team, setting technical direction and mentoring developers 
  • Collaborate with product managers, solution leads, and our customers to ensure AI features meet requirements and deliver tangible business value 
  • Provide architectural and technical guidance to implementation teams, including where AI features touch SAP/ABAP components 

Requirements

What You Bring 

Technical expertise 

  • 7+ years of software development with a track record of delivering AI/ML solutions in production 
  • Deep understanding of different approaches to integrate LLMs into enterprise solutions
  • Hands-on experience with LangChain, LangGraph, LlamaIndex or similar frameworks 
  • Strong programming skills (e.g. Python, Java, JavaScript, C++, R) 
  • Cloud-native development experience (Azure, AWS, or Google Cloud) with containerization/orchestration (Docker, Kubernetes)  
  • Proven ability to integrate AI into enterprise-grade systems; SAP/ABAP exposure and experience is a strong plus 
  • Experience in leading and scaling development teams 
  • Skilled at translating business requirements into scalable AI architectures 

Why Join Us? 

  • Shape the future of AI in banking – Lead the creation of AI capabilities embedded in mission-critical systems 
  • Hands-on innovation – Own the full lifecycle from prototype to production 
  • Team-building impact – Build and mentor a new AI development team from the ground up 
  • Global collaboration – Work with colleagues and clients across continents 
  • Flexibility – Remote-first with occasional travel for high-value interactions 

Benefits

We offer a comprehensive benefits package that includes occupational pension provisions, support for health and wellbeing, various mobility options like bike leasing and transportation allowances, as well as additional perks such as celebration rewards, meal programs, jubilee recognition, and relocation reimbursement.

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AI Business Development Specialist

London, London Müller`s Solutions

Posted 22 days ago

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Permanent

Müller's Solutions is seeking an innovative and driven AI Business Development Specialist to join our rapidly growing team. In this role, you will focus on identifying new opportunities within the Artificial Intelligence sector, driving adoption of AI solutions, and expanding our market presence.

Your expertise in AI technologies, combined with your passion for business development, will allow you to engage effectively with clients, understand their unique challenges, and present tailored AI-driven solutions to enhance their operations. You will play a vital role in building relationships and promoting our offerings in this cutting-edge field.

Key Responsibilities:
  • Identify and pursue new business opportunities in the AI domain.
  • Build and maintain strong relationships with existing and prospective clients.
  • Conduct market research to stay updated on AI trends and competitive landscape.
  • Develop and deliver presentations that effectively articulate the value and benefits of AI solutions.
  • Collaborate with technical teams to align AI solutions with client requirements.
  • Prepare strategic proposals and negotiate contracts with clients.
  • Track and report on business development metrics and adjust strategies as needed.
  • Represent Müller's Solutions at industry conferences and networking events to promote our AI services.

Requirements

  • About Us
  • At Müller Solutions, we believe AI is reshaping industries . From government digital transformation to retail, energy, and financial services, our mission is to help organizations unlock the full potential of AI consulting and AI-powered solutions . With strong presence across Saudi Arabia, UAE, Egypt, and Germany, we are building the next wave of AI-driven growth in the region .
  • The Opportunity
  • We are looking for an ambitious and dynamic AI Business Development Manager who will become the face of our AI practice in Saudi Arabia . This role goes beyond sales—it’s about shaping conversations with executives, spotting opportunities where AI can transform businesses, and driving deals from idea to reality .
  • If you are passionate about AI, innovation, and business growth —this role is for you.
  • What You’ll Do
    • Champion Müller Solutions’ AI services and solutions in the Saudi and GCC markets.
    • Identify, pitch, and close opportunities across industries (Government, Energy, Retail, Banking, Manufacturing).
    • Act as a trusted advisor to clients on how AI can solve their toughest challenges .
    • Collaborate with our AI consultants and delivery teams to design winning solutions.
    • Represent Müller Solutions at events, conferences, and client workshops.
    • Consistently achieve and exceed growth targets.
  • What We’re Looking For
    • Saudi National (priority for this role).
    • 4+ years’ experience in business development or solution sales within technology, digital transformation, or consulting.
    • Strong understanding of AI technologies (Machine Learning, NLP, Computer Vision, Generative AI) and ability to communicate their business impact.
    • Proven track record of closing deals and building client relationships.
    • Strong communication, negotiation, and presentation skills.
    • Bilingual (Arabic & English).
    • A proactive, entrepreneurial mindset with passion for innovation and growth .

Benefits

Why Join Us:

    • Competitive salary + performance-based incentives .
    • Be part of a fast-growing AI consulting leader in the MENA region.
    • Work on high-impact projects with governments and top enterprises.
    • Career growth opportunities in AI and digital transformation leadership .
    • Collaborative, innovative, and entrepreneurial culture.
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Senior Deep Learning Engineer - Computer Vision

EC1A 1AA London, London £85000 Annually WhatJobs

Posted 5 days ago

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full-time
Our client is seeking a highly skilled and experienced Senior Deep Learning Engineer specializing in Computer Vision to join their dynamic, fully remote team. This is a pivotal role where you will drive the development and implementation of cutting-edge computer vision algorithms and deep learning models that power innovative solutions. You will be responsible for the entire lifecycle of model development, from data acquisition and pre-processing to model training, evaluation, and deployment. The ideal candidate will possess a strong theoretical understanding of deep learning principles and a practical ability to apply them to complex computer vision tasks such as object detection, image segmentation, and facial recognition. Responsibilities include designing efficient deep learning architectures, optimising model performance, and working closely with software engineers to integrate AI models into real-world applications. A Master's or Ph.D. in Computer Science, Electrical Engineering, or a related quantitative field is required, along with a minimum of 5 years of hands-on experience in deep learning and computer vision. Proficiency in Python and deep learning frameworks like TensorFlow, PyTorch, or Keras is essential. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly advantageous. You will be a critical thinker, a problem-solver, and a strong communicator, capable of collaborating effectively within a distributed team. This role offers the opportunity to work on challenging and impactful projects, contributing to the advancement of AI technology while enjoying the flexibility of remote work.

Responsibilities:
  • Develop, train, and deploy advanced deep learning models for computer vision applications.
  • Design and implement novel deep learning architectures for tasks such as object detection, segmentation, and classification.
  • Pre-process and manage large-scale image and video datasets.
  • Optimise model performance, including accuracy, speed, and memory usage.
  • Collaborate with software engineers to integrate computer vision models into production systems.
  • Stay current with the latest research and advancements in deep learning and computer vision.
  • Conduct thorough experimentation and analysis to validate model effectiveness.
  • Troubleshoot and debug complex issues in model training and inference.
  • Contribute to the MLOps pipeline for efficient model deployment and monitoring.
  • Document research, development processes, and model architectures.
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Senior AI Ethicist - Child Development

WC1B 3AA London, London £80000 Annually WhatJobs

Posted 1 day ago

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full-time
Our client, a forward-thinking technology company dedicated to responsible innovation in education and development, is seeking a Senior AI Ethicist with a specialization in child development. This is a fully remote position, allowing you to contribute your expertise from anywhere in the world while supporting projects impacting young minds. You will be at the forefront of ensuring that artificial intelligence technologies developed for children are safe, fair, unbiased, and promote positive developmental outcomes. This role requires a unique blend of expertise in AI ethics, child psychology/development, and policy implementation. As a remote-first organization, we foster a collaborative and inclusive environment, utilizing advanced communication and project management tools. Your responsibilities will include:
  • Developing and implementing ethical guidelines and frameworks for AI systems used in child-focused applications (e.g., educational software, assistive technologies).
  • Conducting ethical risk assessments and impact analyses for new AI products and features.
  • Advising product development teams on ethical considerations throughout the AI lifecycle.
  • Collaborating with child development experts, psychologists, educators, and legal advisors to ensure alignment with best practices and regulations (e.g., GDPR-K, COPPA).
  • Researching and staying abreast of emerging issues in AI ethics, data privacy, and child online safety.
  • Developing training materials and conducting workshops for internal teams on AI ethics and child development principles.
  • Contributing to public discourse and policy discussions related to AI and children.
  • Reviewing AI algorithms and datasets for potential biases and unintended consequences.
  • Establishing mechanisms for ongoing ethical review and oversight.
We are looking for candidates with a Master's or Ph.D. in a relevant field such as AI Ethics, Computer Science (with an ethics focus), Psychology (with a specialization in child development), or a related discipline. A minimum of 5 years of experience in AI ethics, responsible AI development, or a related field is required, with demonstrated experience or a strong understanding of child development principles. Familiarity with relevant legal and regulatory frameworks is essential. Excellent analytical, communication, and stakeholder management skills are critical for this collaborative, remote role, even though our primary research hub is in **London, England, UK**. Join us to shape a future where technology empowers children responsibly.
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AI Technical Recruiter/Business Development Manager (AI POD Solutions)

London, London MaxAccelerate

Posted 26 days ago

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Permanent
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Artificial Intelligence Engineer

London, London EC Markets

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About the Company


EC Markets is a leading investment and trading services provider, offering clients access to global financial markets through innovative technology and a commitment to regulatory excellence. We specialise in delivering trading solutions across a diverse range of asset classes, including equities, forex, commodities, and derivatives, with a strong focus on transparency, integrity, and client success.


With a client-first approach, we are dedicated to creating a secure and supportive trading environment that meets the highest regulatory standards. Our culture is built on collaboration, accountability, and continuous improvement, ensuring that both our clients and employees benefit from our forward-thinking approach to financial services.


About the Role


We are looking for a talented and enthusiastic AI Developer (Python) to join a growing team of experienced technologists and finance professionals and build a best-in-class trading/investment platform, with opportunities for technical ownership from day one. Please note that this role is office-based (Finsbury Square, Monday to Friday).


Responsibilities


  • Build and maintain services that support AI agent interaction.
  • Implement APIs, contracts, and metadata aligned with the Model Context Protocol.
  • Develop internal tooling that supports AI-native workflows.
  • Establish best practices for prompt engineering, model fine-tuning, and evaluation.
  • Stay current with developments in AI/ML and apply relevant research to product needs.
  • Participate in design reviews, code reviews, and incident response.


Qualifications


  • Bachelor’s degree in Computer Science, Engineering, or equivalent.


Required Skills


  • Software development experience with proven expertise in at least one programming language (Python / Java / Typescript) with experience building APIs and integrating backend systems.
  • Solid Machine Learning fundamentals.
  • Model Context Protocol for managing context and tool interfaces for agents.
  • LLM integration patterns, including prompt orchestration and tool calling.
  • Retrieval-Augmented Generation (RAG) for dynamic context injection.
  • Understanding of user-centric design for AI interfaces and intelligent automation.
  • Experience with AI frameworks (PyTorch, Tensorflow, Hugging Face etc.).


Preferred Skills


  • Preferred knowledge of AWS, particularly AWS Bedrock for LLM deployment and orchestration.
  • Self-motivated with a strong growth mindset.


Pay range and compensation package


  • Competitive salary and performance-based bonus.
  • Opportunities for professional growth and career advancement.
  • Contribution pension scheme.
  • A collaborative and innovative work environment.
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