76 to 100 of 103 Deep Learning Jobs in the UK excluding London

Machine Learning Engineer - London Salary: £80,000 – £150,000 + Equity About Them Our client are a fast-growing AI startup revolutionising the video intelligence space. They've been building a cutting-edge video AI platform that delivers real-time insights and exceptional user experiences across various industries. Their team, composed of experienced professionals from leading technology firms, is … tackling cutting-edge challenges at the intersection of machine learning, infrastructure, and product development. Responsibilities Fine-tune open-source PyTorch models using proprietary datasets. Convert and optimise models for high-performance C++ runtimes. Design and execute experiments balancing latency, accuracy, and robustness. Integrate ML models into production pipelines and own downstream performance metrics. Maintain and improve existing ML systems … in our production environment. Stay current with deep learning research and propose practical applications in the video AI domain. About you Solid software engineering skills with a focus on writing production-grade code. Strong foundations in machine learning. Experience with PyTorch and Python 3; familiarity with C++ preferred. Experience with containerisation (Docker), model profiling. Why Join Them Work More ❯

running systematic cash equity strategies. They are looking for a Quantitative Researcher with demonstrated experience conducting alpha research on cash equities. The ideal hire would have experience applying machine learning and/or statistical learning techniques to develop models to enhance the trading process. The fund prides itself on its high-quality data, robust infrastructure, and a collaborative … culture. This would be an opportunity to learn from a diverse team, with extensive sell and buy-side experience. Responsibilities Developing alpha strategies from global cash equities. Leveraging machine learning tools to identify alpha signals from traditional, fundamental, and alternative datasets. Collaborating with the PM, supporting with idea generation, data analysis, and backtesting. Contributing to the research and trading … Factor Modelling. Requirements Advanced degree in a quantitative field such as Mathematics, Physics, Statistics, or Engineering. Demonstrated experience developing systematic cash equity/statistical arbitrage strategies. Experience with machine learning models and/or statistical learning models (e.g. LLMs, neural networks, Deep Learning models, etc.). Capacity to excel in a fast-paced environment. Strong coding More ❯

Month Contract (Parental Leave Cover) Location: Remote or Reading, UK Start Date: August 18, 2025 | End Date: October 31, 2026 Are you passionate about empowering developers and driving impactful learning campaigns across Europe? Join a global tech leader as a Developer Marketing Manager and lead initiatives that educate, inspire, and engage millions of developers in cutting-edge fields like … AI, deep learning, data science, and high-performance computing. This is an exciting opportunity to own and scale education-focused marketing programs across EMEA, supporting a world-class training platform that has already reached nearly a million developers. What You’ll Do Manage EMEA-level marketing for technical training programs, including integrated campaigns, events, media outreach, influencer collaboration … equivalent in marketing, business, or a related field. Fluent English and excellent written, verbal, and cross-functional communication skills. Bonus Points Experience marketing to developers in AI/ML, deep learning, or parallel computing environments. Previous engagement with startup ecosystems and developer communities. Additional language skills, especially a Nordic language. Join a mission-driven, global team where you More ❯

mode and are looking to advance their capabilities, increase the quality of their offering and evolve their platform. Required experience for the Senior/Principal AI Engineer role: Machine learning (ML), deep learning and statistical analysis skills – even better if these skills have been applied to threat detection, malware analysis, phishing and/or abuse detection. Experience More ❯

Computer Vision Engineer Solid academic history with good grades throughout Skilled in building computer vision solutions, with a focus on object detection and motion tracking. Knowledgeable in modern machine learning techniques, including convolutional neural networks (CNNs) and transformer models. Experience with tracking methods, including the use of Kalman filters. Aware of traditional, lower-resource image processing techniques such as … status, veteran status, or disability status. Keywords – Computer Vision Engineer/Machine Vision Engineer/Imaging Scientist/AI Engineer/Vision Systems Developer/Image Processing Engineer/Deep Learning Engineer/Optical Systems Engineer/Tracking Algorithm Specialist/Sensor Integration Engineer/R&D Engineer/ML Engineer/Algorithm Developer/Vision Software Engineer … Engineer/Object Detection/Kalman Filter/Python/Blob Detection/Optical Components/AI/ML/CV Development Engineer/AI Software Engineer/Machine Learning Engineer/Computer Vision Engineer/AI Research Engineer/ML Research Engineer/Computer Vision Software Developer More ❯

and alignment techniques. Collaboration & Experimentation : Work closely with software engineers and product managers to test ideas and bring innovative features to life. Requirements: NLP & ML Background : Strong experience in deep learning and natural language processing, with an emphasis on large language models. Tooling Fluency : Comfortable with libraries like Hugging Face, LangChain, or PyTorch, and evaluation frameworks. Production Readiness More ❯

the solutions bespoke to that need. Ideally you'll come from a customer-focused background, and whilst they won't expect you to be an out-and-out Machine Learning expert, you should understand how models work and how to use their results in real-world situations. Key responsibilities: Understand the requirements for new clients and configure solutions Work … to improve performance Test the overall solution to see how it performs Key experience: Python (NumPy/OpenCV)/PyTorch/TensorFlow Good understanding of AI/ML Models (DeepLearning/Computer Vision) CI/CD TDD Linux Why join them: Be part of a thriving, well-funded start up - more than typical routes for growth/progression Remote working More ❯

Familiarity with PyTorch or TensorFlow Computer Vision Experience working with ML pipelines and tooling (CI/CD, TDD) Comfortable working in a Linux environment Good understanding of ML and Deep Learning concepts (especially Computer Vision) Prior experience in a customer-focused or consultative technical role Why Join? Be part of a high-growth, well-funded AI startup Real More ❯

General Theory for Big Bayes" and Grenoble IDEX. Interested applicants should write to us with: a letter of interest, CV, and should require two recommendation letters. Context Bayesian deep learning brings together two of the most important machine learning paradigms: Bayesian inference and deep learning. On the one hand, Bayesian learning provides a theoretically sound … framework to formalise the estimation of the architecture and the parameters of deep neural network models. On the other hand, deep learning offers new tools in Bayesian modelling, e.g. to learn flexible nonparametric priors or computationally efficient posterior distribution approximations. State of the art The field of machine learning has recently been much impacted by deep learning. Deep neural networks are now at the basis of the state-of-the-art in computer vision, natural language processing, to cite just a few. While very effective, these models are computationally costly and require large quantities of data for their many parameters to be accurately estimated. Bayesian statistics offers a theoretically well-grounded framework to reason More ❯

junior engineering & data science hires. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Years of commercial experience working on and deploying recommendation engines Excellent Machine Learning and Deep Learning skills Experience of working and deploying at scale Knowledge Graph and entity linking experience General RecSys experience If this role interests you and you More ❯

time insights and exceptional user experiences across various industries. Their team, composed of experienced professionals from leading technology firms, is tackling cutting-edge challenges at the intersection of machine learning, infrastructure, and product development. Responsibilities Knowledge of either Python or Go. Confident using technologies such as Typescript & React. Experienced with databases such as Redis & Postgres Stay current with deep learning research and propose practical applications in the video AI domain. About you Solid software engineering skills with a focus on writing production-grade code. Experience with PyTorch and Python 3; familiarity with C++ preferred. Experience with containerisation (Docker), model profiling. Why Join Them Work with top engineers and AI researchers from leading tech firms and academic institutions. More ❯

Familiarity with tools for working with Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via upskilling, mentoring and conflict resolution. Experience designing CI/CD processes to support rapid … you against these behaviours during the selection process: Leadership Communicating and Influencing Delivering at Pace Technical skills We'll assess you against these technical skills during the selection process: Learning and development tailored to your role. An environment with flexible working options. A culture encouraging inclusion and diversity. ACivil Service Pension which provides an attractive pension, benefits for dependants More ❯

Familiarity with tools for working with Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via upskilling, mentoring and conflict resolution. Experience designing CI/CD processes to support rapid … you against these behaviours during the selection process: Leadership Communicating and Influencing Delivering at Pace Technical skills We'll assess you against these technical skills during the selection process: Learning and development tailored to your role. An environment with flexible working options. A culture encouraging inclusion and diversity. ACivil Service Pension which provides an attractive pension, benefits for dependants More ❯

c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Our solutions ensure that information in Amazon's catalog is complete, correct and … a great shopping experience every time. That's where you can help. We believe in "Work Hard. Have Fun. Make History" value by having a strong focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep … ideas and proposals and also seek advice and discuss about things outside work, like, life in general, your family, hobbies etc. We provide trainings to the employees through online learning platforms such as O'reilly and also encourage them to take up AWS/ML certifications. Key Job Responsibilities We are looking for a sharp, experienced Application Engineer (AE More ❯

to: Design, develop, and maintain AI systems to enhance product offerings and customer interactions. Conduct research and experimentation to improve AI algorithms and models. Train, evaluate, and deploy machine learning models into production environments. Collaborate with cross-functional teams to understand business requirements and deliver AI solutions that align with company values and missions. Monitor, troubleshoot, and optimize deployed … Communicate effectively with team members, including leaders, to share ideas, discuss problems, and drive continuous improvement. Qualifications and qualities which are preferred but not essential: Strong understanding of machine learning algorithms, deep learning frameworks, and AI technologies. Analytical and problem-solving skills, with the ability to challenge ideas and processes. Positive attitude, respectfulness, and willingness to collaborate More ❯

compilation, algorithm and chip co-design, runtime, or shared memory Strong background in software development using C/C++ and Python Skilled with GPU compute APIs (e.g., CUDA, OpenCL), deep learning frameworks, and compilers Familiarity with AI models, algorithm trends, and translating application requirements into chip-level solutions Experience with GPU acceleration, inference backends, and frameworks such as More ❯

Responsibilities Drive ML engineering strategy and implementation within an ambitious, high-impact, ML research agenda in the molecular sciences. Design, develop, and deploy data processing pipelines, machine learning models, and workflows. Collaborate with internal and external partners to deploy and evaluate models and workflows. Champion and coach the team in modern engineering practices. Prepare technical papers and presentations. Work … record in designing, developing, and deploying scientific ML systems with real-world impact. Experience working with cross-functional teams. Experience with major cloud platforms and/or HPC. Preferred: Deep learning experience. Experience with chemoinformatics and computational chemistry. Experience in real-world drug discovery. Proficiency with additional programming languages. Microsoft is an equal opportunity employer. All qualified applicants More ❯

both written and verbal. Ability to work independently and as part of a team. Clean and full UK driving licence. Desirable Requirements Knowledge of machine vision, image processing, and deep learning. Knowledge of camera, optic, and lighting technology. Experience in manufacturing and industrial automation. Benefits Competitive salary Company Pension 25 days Annual Leave + Bank Holidays Company Health Insurance More ❯

Director of Deep Learning Research – Steer the Future of AI in a Real-World Setting Location: Europe-based (remote optional) Comp: Top of market (significant upside) We’re working with a leading technology-driven firm building a new deep learning research initiative with real backing and long-term vision. This is a senior leadership role—not … AI to meaningful, complex problems at scale. They’re looking to bring on a Director-level researcher to guide the team, define research priorities, and push the boundaries of deep learning in an applied context. What they’re looking for: Experience leading researchers in elite AI labs Academic ties to top-tier institutions H-index well above field More ❯

vision requirements. What We Need From You: • Experience deploying machine vision or image analysis systems in an industrial or research setting. • Comfortable working with AI/ML platforms or deep learning vision tools • Hands-on engineering experience with automation or robotics systems. • Able to work on site, troubleshoot systems hands-on, and communicate clearly with operators and engineers. … up to 5 days. • Company vehicle. • Pension Scheme: Plan for the future with our company pension scheme. • Peace of Mind: Feel secure with our death in service benefit. • Continuous Learning: We ll cover your professional fees, supporting your career development. • Smart Health: Access a 24/7 online GP, mental health support, and wellbeing services anytime. More ❯

vision requirements. What We Need From You: • Experience deploying machine vision or image analysis systems in an industrial or research setting. • Comfortable working with AI/ML platforms or deep learning vision tools • Hands-on engineering experience with automation or robotics systems. • Able to work on site, troubleshoot systems hands-on, and communicate clearly with operators and engineers. … up to 5 days. • Company vehicle. • Pension Scheme: Plan for the future with our company pension scheme. • Peace of Mind: Feel secure with our death in service benefit. • Continuous Learning: We’ll cover your professional fees, supporting your career development. • Smart Health: Access a 24/7 online GP, mental health support, and wellbeing services anytime. More ❯

vision requirements. What We Need From You: Experience deploying machine vision or image analysis systems in an industrial or research setting. Comfortable working with AI/ML platforms or deep learning vision tools Hands-on engineering experience with automation or robotics systems. Able to work on site, troubleshoot systems hands-on, and communicate clearly with operators and engineers. … up to 5 days. Company vehicle. Pension Scheme: Plan for the future with our company pension scheme. Peace of Mind: Feel secure with our death in service benefit. Continuous Learning: We'll cover your professional fees, supporting your career development. Smart Health: Access a 24/7 online GP, mental health support, and wellbeing services anytime. More ❯

vision requirements. What We Need From You: • Experience deploying machine vision or image analysis systems in an industrial or research setting. • Comfortable working with AI/ML platforms or deep learning vision tools • Hands-on engineering experience with automation or robotics systems. • Able to work on site, troubleshoot systems hands-on, and communicate clearly with operators and engineers. … up to 5 days. • Company vehicle. • Pension Scheme: Plan for the future with our company pension scheme. • Peace of Mind: Feel secure with our death in service benefit. • Continuous Learning: We'll cover your professional fees, supporting your career development. • Smart Health: Access a 24/7 online GP, mental health support, and wellbeing services anytime. Registered Office: 36B More ❯

to industrial automation, they design, build, and integrate machine vision systems for some of the world's biggest manufacturers. You'll be part of a highly skilled engineering team, learning and applying your knowledge to deliver end-to-end machine vision solutions across a variety of industries. What you'll do: Learn and develop expertise with machine vision hardware … verbal. Comfortable working independently and as part of a team. Full UK driving licence. It'd be great if you also had: Experience with machine vision, image processing, or deep learning. Knowledge of cameras, optics, lighting, and related technologies. Background in manufacturing or industrial automation environments. About Us: At Thomas Lee Recruitment, we specialise in connecting engineers and technical More ❯

challenges of our time: enabling machines to understand and navigate the real world autonomously, safely, and at scale. They’re pioneering a new approach grounded in cutting-edge research, deep learning, and real-world deployment. As they move from research to real-world deployment, building the right operational teams has never been more important. This role offers a More ❯