1 to 25 of 219 Deep Learning Jobs in the UK excluding London

About the Role Are you passionate about building AI systems that can think, learn, and trade autonomously? Predictiva is looking for a Deep Learning Engineer to join our award-winning team developing next-generation AI trading platforms. You’ll work on cutting-edge models, transform research into production systems, and help redefine how machine learning interacts with … global financial markets. Key Responsibilities As a Deep Learning Engineer at Predictiva, you will: Develop and train advanced deep learning models using Python and frameworks such as PyTorch or TensorFlow. Build and deploy APIs for AI models, preferably using FastAPI, and deploy them on cloud platforms (Azure, GCP, or AWS). Integrate model training pipelines with … visualization, and performance monitoring. Prepare and process data — including structured and unstructured time-series data — for use in ML models. Bridge the gap between research and production, translating machine learning ideas into real-world trading applications. Collaborate across teams, sharing knowledge and presenting insights to data scientists, software engineers, and financial experts. About Predictiva Predictiva is an AI FinTech More ❯

About the Role Are you passionate about building AI systems that can think, learn, and trade autonomously? Predictiva is looking for a Deep Learning Engineer to join our award-winning team developing next-generation AI trading platforms. You’ll work on cutting-edge models, transform research into production systems, and help redefine how machine learning interacts with … global financial markets. Key Responsibilities As a Deep Learning Engineer at Predictiva, you will: Develop and train advanced deep learning models using Python and frameworks such as PyTorch or TensorFlow. Build and deploy APIs for AI models, preferably using FastAPI, and deploy them on cloud platforms (Azure, GCP, or AWS). Integrate model training pipelines with … visualization, and performance monitoring. Prepare and process data — including structured and unstructured time-series data — for use in ML models. Bridge the gap between research and production, translating machine learning ideas into real-world trading applications. Collaborate across teams, sharing knowledge and presenting insights to data scientists, software engineers, and financial experts. About Predictiva Predictiva is an AI FinTech More ❯

About the Role Are you passionate about building AI systems that can think, learn, and trade autonomously? Predictiva is looking for a Deep Learning Engineer to join our award-winning team developing next-generation AI trading platforms. You’ll work on cutting-edge models, transform research into production systems, and help redefine how machine learning interacts with … global financial markets. Key Responsibilities As a Deep Learning Engineer at Predictiva, you will: Develop and train advanced deep learning models using Python and frameworks such as PyTorch or TensorFlow. Build and deploy APIs for AI models, preferably using FastAPI, and deploy them on cloud platforms (Azure, GCP, or AWS). Integrate model training pipelines with … visualization, and performance monitoring. Prepare and process data — including structured and unstructured time-series data — for use in ML models. Bridge the gap between research and production, translating machine learning ideas into real-world trading applications. Collaborate across teams, sharing knowledge and presenting insights to data scientists, software engineers, and financial experts. About Predictiva Predictiva is an AI FinTech More ❯

About the Role Are you passionate about building AI systems that can think, learn, and trade autonomously? Predictiva is looking for a Deep Learning Engineer to join our award-winning team developing next-generation AI trading platforms. You’ll work on cutting-edge models, transform research into production systems, and help redefine how machine learning interacts with … global financial markets. Key Responsibilities As a Deep Learning Engineer at Predictiva, you will: Develop and train advanced deep learning models using Python and frameworks such as PyTorch or TensorFlow. Build and deploy APIs for AI models, preferably using FastAPI, and deploy them on cloud platforms (Azure, GCP, or AWS). Integrate model training pipelines with … visualization, and performance monitoring. Prepare and process data — including structured and unstructured time-series data — for use in ML models. Bridge the gap between research and production, translating machine learning ideas into real-world trading applications. Collaborate across teams, sharing knowledge and presenting insights to data scientists, software engineers, and financial experts. About Predictiva Predictiva is an AI FinTech More ❯

position offers a unique opportunity to drive groundbreaking research and development in state-of-the-art NLP models and applications, impacting a global user base. The role requires a deep theoretical understanding and practical expertise in machine learning, deep learning, and advanced NLP techniques. You will be instrumental in shaping the future of how humans interact … technology through intelligent language understanding and generation. Responsibilities Lead the research and development of novel NLP algorithms and models, pushing the boundaries of artificial intelligence. Design and implement advanced deep learning architectures for tasks such as text generation, summarization, sentiment analysis, and machine translation. Conduct cutting-edge research in areas like transformer models, large language models (LLMs), and … and contribute to the scientific growth of the team. Develop and maintain high-quality, production-ready code for AI models. Stay abreast of the latest advancements in NLP, machine learning, and deep learning. Contribute to the strategic direction of the company's AI research roadmap. Evaluate and benchmark new models and techniques against industry standards. Qualifications Ph.D. in More ❯

Data, AI, Tech, Cyber Security and Digital Learning. Our mission is to empower people with skills that drive real business impact. We combine expert coaching and training, high quality learning design, and strong employer relationships to create programmes that deliver measurable results for our customers. Purpose of the Role As Curriculum Manager for our AI programmes, you will lead … development, quality assurance, and design of apprenticeship curricula for Level 3 and Level 4 AI programmes. You will ensure our programmes reflect the latest advancements in artificial intelligence, machine learning, data science, and related technologies. You will act as a subject matter expert, supporting sales enablement and commercial growth, and embedding innovation and measurable impact for learners, employers, and … lifecycle of Level 3 and Level 4 AI curriculum, from concept to delivery, ensuring alignment with apprenticeship standards, EPA requirements, and quality benchmarks. Integrate advanced AI specialisms, including machine learning, deep learning, natural language processing, computer vision, and data engineering, into curriculum content. Ensure curriculum covers practical skills in Python, TensorFlow, PyTorch, cloud AI platforms (Azure, AWS More ❯

Data, AI, Tech, Cyber Security and Digital Learning. Our mission is to empower people with skills that drive real business impact. We combine expert coaching and training, high quality learning design, and strong employer relationships to create programmes that deliver measurable results for our customers. Purpose of the Role As Curriculum Manager for our AI programmes, you will lead … development, quality assurance, and design of apprenticeship curricula for Level 3 and Level 4 AI programmes. You will ensure our programmes reflect the latest advancements in artificial intelligence, machine learning, data science, and related technologies. You will act as a subject matter expert, supporting sales enablement and commercial growth, and embedding innovation and measurable impact for learners, employers, and … lifecycle of Level 3 and Level 4 AI curriculum, from concept to delivery, ensuring alignment with apprenticeship standards, EPA requirements, and quality benchmarks. Integrate advanced AI specialisms, including machine learning, deep learning, natural language processing, computer vision, and data engineering, into curriculum content. Ensure curriculum covers practical skills in Python, TensorFlow, PyTorch, cloud AI platforms (Azure, AWS More ❯

beyond Clearance: SC Cleared Package: Up to £100,000 base + benefits My consulting client seeks The Opportunity We’re looking for a Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling techniques to drive measurable business … and beta phases. Act as a trusted advisor to clients – helping them define their digital vision, identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust, scalable models. Provide technical … multi-disciplinary teams – often embedded onsite with clients . Drive delivery outcomes with a self-starter mindset , ensuring pace, quality, and client satisfaction. About You Strong background in Machine Learning , Deep Learning , and Large Language Models Solid understanding of mathematics , statistics , and data modelling fundamentals. Proven consulting experience – able to engage clients, manage ambiguity, and deliver under More ❯

beyond Clearance: SC Cleared Package: Up to £100,000 base + benefits My consulting client seeks The Opportunity We’re looking for a Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling techniques to drive measurable business … and beta phases. Act as a trusted advisor to clients – helping them define their digital vision, identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust, scalable models. Provide technical … multi-disciplinary teams – often embedded onsite with clients . Drive delivery outcomes with a self-starter mindset , ensuring pace, quality, and client satisfaction. About You Strong background in Machine Learning , Deep Learning , and Large Language Models Solid understanding of mathematics , statistics , and data modelling fundamentals. Proven consulting experience – able to engage clients, manage ambiguity, and deliver under More ❯

wide (client site travel required) Clearance: SC Cleared Package: Up to £100,000 base + benefits The Opportunity We’re looking for a Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling techniques to drive measurable business … and beta phases. Act as a trusted advisor to clients – helping them define their digital vision, identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust, scalable models. Provide technical … multi-disciplinary teams – often embedded onsite with clients . Drive delivery outcomes with a self-starter mindset , ensuring pace, quality, and client satisfaction. About You Strong background in Machine Learning , Deep Learning , and Large Language Models Solid understanding of mathematics , statistics , and data modelling fundamentals. Proven consulting experience – able to engage clients, manage ambiguity, and deliver under More ❯

wide (client site travel required) Clearance: SC Cleared Package: Up to £100,000 base + benefits The Opportunity We’re looking for a Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling techniques to drive measurable business … and beta phases. Act as a trusted advisor to clients – helping them define their digital vision, identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust, scalable models. Provide technical … multi-disciplinary teams – often embedded onsite with clients . Drive delivery outcomes with a self-starter mindset , ensuring pace, quality, and client satisfaction. About You Strong background in Machine Learning , Deep Learning , and Large Language Models Solid understanding of mathematics , statistics , and data modelling fundamentals. Proven consulting experience – able to engage clients, manage ambiguity, and deliver under More ❯

wide (client site travel required) Clearance: SC Cleared Package: Up to £100,000 base + benefits The Opportunity We’re looking for a Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling techniques to drive measurable business … and beta phases. Act as a trusted advisor to clients – helping them define their digital vision, identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust, scalable models. Provide technical … multi-disciplinary teams – often embedded onsite with clients . Drive delivery outcomes with a self-starter mindset , ensuring pace, quality, and client satisfaction. About You Strong background in Machine Learning , Deep Learning , and Large Language Models Solid understanding of mathematics , statistics , and data modelling fundamentals. Proven consulting experience – able to engage clients, manage ambiguity, and deliver under More ❯

client site trvel to Plymouth) Clearance: SC Cleared Package: Up to £100,000 base + benefits The Opportunity We're looking for a Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You'll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling techniques to drive measurable business … and beta phases. Act as a trusted advisor to clients - helping them define their digital vision, identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust, scalable models. Provide technical … multi-disciplinary teams - often embedded onsite with clients . Drive delivery outcomes with a self-starter mindset , ensuring pace, quality, and client satisfaction. About You Strong background in Machine Learning , Deep Learning , and Large Language Models Solid understanding of mathematics , statistics , and data modelling fundamentals. Proven consulting experience - able to engage clients, manage ambiguity, and deliver under More ❯

Start Your Career as a Machine Learning Engineer Are you excited by the idea of building intelligent systems that learn from data? Are you looking to start a career at the intersection of software engineering and data science? We are looking for a motivated and curious Graduate Machine Learning Engineer to join our growing AI & Machine Learning team. In this role, you’ll help design, develop, and deploy machine learning models that solve real-world problems — all while receiving hands-on training, mentoring, and support from experienced ML engineers and data scientists. Whether you studied Computer Science, Engineering, Data Science, or Maths — if you're passionate about machine learning, love to build, and eager … What You’ll Be Doing You’ll play a key role in helping our team develop and deliver ML-powered solutions: Model Development : Assist in building and training machine learning and deep learning models using Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn Data Preparation : Work on collecting, cleaning, transforming, and analysing large datasets for More ❯

Start Your Career as a Machine Learning Engineer Are you excited by the idea of building intelligent systems that learn from data? Are you looking to start a career at the intersection of software engineering and data science? We are looking for a motivated and curious Graduate Machine Learning Engineer to join our growing AI & Machine Learning team. In this role, you’ll help design, develop, and deploy machine learning models that solve real-world problems — all while receiving hands-on training, mentoring, and support from experienced ML engineers and data scientists. Whether you studied Computer Science, Engineering, Data Science, or Maths — if you're passionate about machine learning, love to build, and eager … What You’ll Be Doing You’ll play a key role in helping our team develop and deliver ML-powered solutions: Model Development : Assist in building and training machine learning and deep learning models using Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn Data Preparation : Work on collecting, cleaning, transforming, and analysing large datasets for More ❯

Start Your Career as a Machine Learning Engineer Are you excited by the idea of building intelligent systems that learn from data? Are you looking to start a career at the intersection of software engineering and data science? We are looking for a motivated and curious Graduate Machine Learning Engineer to join our growing AI & Machine Learning team. In this role, you’ll help design, develop, and deploy machine learning models that solve real-world problems — all while receiving hands-on training, mentoring, and support from experienced ML engineers and data scientists. Whether you studied Computer Science, Engineering, Data Science, or Maths — if you're passionate about machine learning, love to build, and eager … What You’ll Be Doing You’ll play a key role in helping our team develop and deliver ML-powered solutions: Model Development : Assist in building and training machine learning and deep learning models using Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn Data Preparation : Work on collecting, cleaning, transforming, and analysing large datasets for More ❯

design solutions that push the boundaries of camera technology and image quality. Key Responsibilities: Design, develop, and optimize algorithms for camera image processing, calibration, and quality assessment. Implement machine learning and deep learning models for tasks such as denoising, segmentation, HDR imaging, and artifact detection. Collaborate with hardware and software teams to integrate algorithms into camera systems … quality evaluation and performance monitoring. Required Skills & Experience: Proven experience in camera algorithms, image processing, or computer vision. Strong programming skills in Python, C++, and MATLAB. Experience with machine learning/deep learning frameworks such as PyTorch or TensorFlow. Knowledge of imaging sensors, optics, and camera systems. Hands-on experience with image quality assessment, segmentation, or calibration More ❯

design solutions that push the boundaries of camera technology and image quality. Key Responsibilities: Design, develop, and optimize algorithms for camera image processing, calibration, and quality assessment. Implement machine learning and deep learning models for tasks such as denoising, segmentation, HDR imaging, and artifact detection. Collaborate with hardware and software teams to integrate algorithms into camera systems … quality evaluation and performance monitoring. Required Skills & Experience: Proven experience in camera algorithms, image processing, or computer vision. Strong programming skills in Python, C++, and MATLAB. Experience with machine learning/deep learning frameworks such as PyTorch or TensorFlow. Knowledge of imaging sensors, optics, and camera systems. Hands-on experience with image quality assessment, segmentation, or calibration More ❯

or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. What You'll Do: 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 … failure cases into retraining. Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‐time edge inference. We’re Looking For: 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 More ❯

or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. What You'll Do: 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 … failure cases into retraining. Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‐time edge inference. We’re Looking For: 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 More ❯

or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. What You'll Do: 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 … failure cases into retraining. Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‐time edge inference. We’re Looking For: 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 More ❯

design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect kind of … cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong skills in UNIX/Linux environments and command-line tools. Programming and ML Skills: Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models. Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands More ❯

design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect kind of … cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong skills in UNIX/Linux environments and command-line tools. Programming and ML Skills: Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models. Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands More ❯

design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect kind of … cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong skills in UNIX/Linux environments and command-line tools. Programming and ML Skills: Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models. Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands More ❯

and the other dedicated to fundamental research that supports both our applications and the broader scientific community. Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models. Responsibilities:- Contribute to ongoing research in machine learning and artificial intelligence Help develop and implement algorithms Collaborate with researchers … preparing publications and technical reports Stay up to date with the latest advancements in AI and related fields Requirement Qualifications Required: Currently enrolled in a PhD program in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field Strong interest in research and a background in machine learning or a related area Experience with programming languages … similar Strong problem-solving skills and ability to work independently and collaboratively Good communication skills and ability to present complex ideas clearly Nice-to-have Experience in optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Previous research publications or submitted papers Why Join Us Gain hands More ❯