1 to 25 of 66 Part-Time Deep Learning Jobs in the UK

Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | London, Hybrid We are seeking an Engineering Manager to join our Applied Machine Learning team , focused on delivering innovative experiences and insights for coaches, athletes, and fans. This role leads high-impact initiatives using advanced computer … vision and deep learning technologies at scale—powering sports experiences from elite organizations to local communities. Key Responsibilities Deliver Results : Independently manage a multidisciplinary team of 5 to 10 Engineers and Data Scientists. Drive progress toward quarterly and annual goals, while ensuring high-impact outcomes for users and … and monitoring complex AI/ML systems operating in production at scale. Technical Proficiency : Strong experience in several of the following domains: Classical and deep learning-based computer vision Multi-view geometry GPU-accelerated computing Edge inference Large language models (LLMs) Real-time systems Signal processing Excellent Communication More ❯

Job Title: Deep Learning Engineer – Medical Imaging (Remote, Europe preferred) Location: Remote (Europe preferred), with occasional travel to the UK if needed Salary: £60,000–£95,000 GBP equivalent, depending on experience About the Opportunity: We’re supporting an ambitious clinical technology company who are building a next … on transforming clinical outcomes through AI-based imaging interpretation . You’ll be joining at the ground floor — helping to design, build, and deploy deep learning models (not just apply pre-trained ones) for medical-grade use cases. The Role: You’ll work closely with AI researchers, software … engineers, and clinicians to: Build, train, and optimise deep learning models (3D CNNs, segmentation models, landmark detection models, etc.) Work with CBCT, MRI, and other DICOM imaging modalities Contribute to research papers, validation studies, and clinical trials Optimise models for inference (using tools like TensorRT, mixed precision, quantisation More ❯

Key Responsibilities Design & Implement Computer Vision Solutions: Develop and optimize end-to-end computer vision pipelines using advanced deep learning techniques. LLMs-VLMs: Have awareness about the latest technologies in the field of LLMs and VLMs. Model Development & Deployment: Build, train, and deploy deep learning models … Data, DevOps) and mentor junior developers on best practices and new technologies. Required Qualifications 5+ years of hands-on experience in Computer Vision and Deep Learning . Fluency in Python ; additional programming languages (C++, Java, etc.) are a plus. Expertise in Deep Learning Frameworks: PyTorch and … optimization (TensorRT, ONNX). Knowledge of NVIDIA CUDA for GPU acceleration. WANDB and MLflow for training monitoring. Contributions to open-source computer vision or deep learning projects. What We Offer Competitive Compensation Flexible Work Arrangements (Remote) and a positive work-life balance. Growth Opportunities : A chance to lead More ❯

Ensure the system's scalability, flexibility, and efficiency to handle large algorithms. Algorithm Development: Develop and implement advanced AI algorithms and models, including machine learning, deep learning, and neural networks. Continuously evaluate and improve these algorithms to enhance system performance and accuracy. Data Integration: Identify relevant data … to ensure the quality and relevance of data for AI model training. Model Training and Evaluation: Train AI models using supervised, unsupervised, or reinforcement learning techniques. Implement evaluation methodologies to measure the performance and effectiveness of trained models. Fine-tune models based on feedback and data insights. Neural Network … Design: Design and optimize deep learning neural networks for various AI tasks, such as natural language processing, computer vision, recommendation systems, and predictive analytics. Implement innovative architectures and techniques to improve model accuracy and efficiency. System Integration: Collaborate with software developers and engineers to integrate AI systems into More ❯

Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid We are looking for a Senior Machine Learning Engineer to help deliver new experiences and insights to coaches, athletes, and fans across all levels of sport. In this role, you’ll lead impactful projects … using cutting-edge computer vision and deep learning at scale—from professional organizations to grassroots teams. Key Responsibilities ML at Scale : Design, build, and deploy machine learning models and systems for both cloud and edge environments, supporting thousands of concurrent sports events. Project Leadership : Take ownership of … culture of trust and support that allows you to own your work and explore new ideas. Career Growth : Access to development opportunities, resources, and learning programs. Tech-Enabled Work : Whether remote or on-site, we provide the tools and environment you need to thrive. Wellbeing Support : Resources to support More ❯

Competent in Generative AI and language models to spearhead innovative initiatives that leverage cutting-edge techniques in NLP and AI Adept at applying advanced deep learning techniques in practical scenarios Well-versed in the latest advancements and trends in machine learning, deep learning, NLP, and … like GPT-4, BERT, and their subsequent iterations, including fine-tuning for specific tasks Aware of the software development lifecycle of AI projects, machine learning operationalization processes Experienced with AI solutions deployment to main cloud providers Hands-on with Python and TensorFlow or PyTorch Possessing strong interpersonal, analytical, and … Capable of maintaining business communication in English at the upper-intermediate level AND YOU WANT TO Work with the full stack of data analysis, deep learning, and machine learning model pipeline that includes deep analysis of customer data, modeling, and deployment in production Choose relevant computational More ❯

our core vision capabilities. This role offers a unique opportunity to push the boundaries of AI in practical applications, utilizing cutting-edge Computer Vision, Deep Learning, and MLOps technologies. Key Responsibilities: Develop and optimize high-performance Computer Vision and deep learning algorithms for real-time monitoring. … Participate in code reviews, debugging, and validation/testing to ensure high-quality, maintainable code. Stay updated with industry trends in AI/ML, deep learning architectures, and MLOps best practices. About You: 4+ years of hands-on experience developing Computer Vision and Deep Learning models More ❯

ECOM are partnered with an exciting software development company based in Manchester who are looking for a Senior Machine Learning Engineer. You will join an innovative technology company at the forefront of machine learning and artificial intelligence solutions. As a Senior Machine Learning Engineer, you'll be … part of a dynamic team dedicated to pushing the boundaries of AI technology and creating impactful solutions. Role Overview: Seeking a talented Senior Machine Learning Engineer to lead the development and implementation of advanced machine learning models and algorithms. As a key member of our team, you will … work on challenging projects, leveraging your expertise in machine learning to drive innovation and solve complex problems. Responsibilities: - Design, develop, and deploy machine learning models and algorithms to address business challenges and opportunities. - Collaborate with cross-functional teams, including software engineers and data scientists, to integrate machine learning More ❯

a VC-backed startup focused on behavioural AI, currently in stealth mode. We are building for retail with a focus on Recommendation Systems, Reinforcement Learning and GenAI. We are looking for an Applied AI Scientist with deep experience in advanced Recommender Systems to work with our team of … Recommender Systems. Solution development: Translate latest Recommender Systems advances into impactful solutions and products, from MVPs to fully deployed systems. Performance optimisation: Optimise machine learning models for performance in modern environments (e.g., distributed clusters, GPUs). Requirements: Hands on experience: Implemented Recommender System solutions in commercial context. Education: MSc … in Computer Science, Machine Learning, or a closely related field. Machine learning expertise : Strong foundation in machine learning and deep learning algorithms (e.g., deep neural networks, supervised/unsupervised learning, predictive analysis, forecast modelling). Programming proficiency: Excellent Python programming skills with experience More ❯

stage of growth as they prepare to scale. You should consider this opportunity if the following appeals to you: ✔️ You have a passion and deep expertise in Computer Vision ✔️ You’ve worked in a startup before and prefer all that it entails over a job in a large corporation … You are excited about Generative AI and what the future holds About the role : Develop Deep Learning solutions Develop the methodology and assessment criteria to measure solution performance Track and implement advancements in Deep Learning and Computer Vision Maintain Machine Learning products Help shape the … team as it scales About you : Current or recent experience in a tech startup or scale-up with a fast-paced environment Expertise in Deep Learning and Computer Vision (incl. image classification, detection, facial recognition, etc.) Understanding of transfer learning and popular augmentation techniques Able to apply More ❯

Machine Learning Engineer – Globally established entertainment company Salary: £90,000–£110,000 (can stretch to £130,000 for the right person) Location: London (Hybrid – 1–2 days per week in-office) Join a tech-first team modernising the way entertainment is brought to life. Work across innovative deep learning and exciting projects within the Gen AI, software, 3D and computer vision space. ROLES AND RESPONSIBILITIES Work closely with a high-impact, global team of 4 Gain exposure and work hands-on across deep learning projects, as well as innovative AI (e.g 3D, Computer Vision … Gen AI etc.) Join a company looking to modernise machine learning applications and AI while still giving control to creatives REQUIREMENTS ✅ 2+ years hands-on experience in deep learning (ideally in computer vision or 3D-related areas) ✅ Strong Python + debugging skills ✅ Experience designing & training models in More ❯

agriculture transform through advanced artificial intelligence solutions. As a Data Scientist specialising in Computer Vision, you'll play a pivotal role in developing machine learning products that redefine what AI can achieve across diverse industries. Why You Should Apply Be part of a revolutionary AI startup shaping the future … Collaborate with experts across business, product, and engineering teams Contribute directly to deploying AI solutions with enterprise clients What You’ll Be Doing Develop deep learning models for a range of computer vision tasks Define and implement assessment criteria to measure solution performance Stay on top of and … apply recent advancements in deep learning and computer vision Support and maintain our suite of machine learning products About You Demonstrable experience with Computer Vision Skilled in deep learning algorithms applied to computer vision challenges Knowledgeable about key architectures like Vision Transformers, DeepLabv3, and SegFormer More ❯

Job Title: Machine Learning Engineer Location: London 1-2 days a week Salary: £90,000-£110,000 + 15% bonus Visa Sponsorship: Is on offer for strong candidates About the Role My client is hiring a Machine Learning Engineer to join a small but impactful team at the … intersection of deep learning, computer vision, and real-time 3D systems . This is a chance to push the boundaries of digital human performance, runtime tracking, and facial capture—projects that directly power high-end experiences. You’ll collaborate closely with a world-class VFX team, helping automate … building cutting-edge ML models that work with 3D data and real-world runtime systems. What You’ll Be Working On Designing and training deep learning models end-to-end Experimenting with GenAI architectures (VAEs, Diffusion Models, Transformers) Building real-time tracking systems for devices Working with 3D More ❯

Company Overview Our client is at the forefront of leveraging cutting-edge artificial intelligence and machine learning technologies to drive investment strategies and generate alpha. We are seeking an exceptional AI Tech Lead to spearhead the technological innovation and AI implementation across quantitative research and trading operations. Job Description … be responsible for designing, developing, and implementing advanced AI solutions that transform our investment decision-making processes. This role requires a unique blend of deep technical expertise, strategic thinking, and financial domain knowledge. Key Responsibilities Lead the architectural design and implementation of AI/ML systems for quantitative trading … and investment research Develop and maintain sophisticated machine learning models for predictive analytics, market forecasting, and trading strategy optimization Architect scalable and high-performance AI infrastructure capable of processing vast amounts of financial data in real-time Collaborate closely with quantitative researchers, data scientists, and trading teams to translate More ❯

of generative AI and its applications in life sciences. Our team is dedicated to advancing foundational AI research and developing the next generation of deep learning technologies. Opportunities are available for both recent graduates and senior professionals. Generative foundation models are transforming computational biology and drug design, and … Biological Foundation Models: Contribute to the creation of new models that advance the possibilities in computational biology. Collaborate Across Disciplines: Work closely with Machine Learning Engineers, Research Engineers, Computational Biologists, and other experts. Leverage Cutting-Edge Resources: Utilise our state-of-the-art supercomputing infrastructure to conduct large-scale … training and evaluation of generative models. Publish and Present Research: Share your findings at top-tier conferences and in leading journals. Responsibilities: Innovate in Deep Learning Research: Develop and implement novel research on multimodal generative foundation models and their biological applications. Contribute to Team Success: Collaborate with team More ❯

prestigious Barclays TechStars programme in 2017 and Mastercard Start Path in 2018. Today, they boast a world-class team of experts, including PhDs with deep domain knowledge across finance and beyond. About the Role: They’re on the lookout for a talented and driven individual to join their AI … team as an intern. This is an exceptional opportunity to work on state-of-the-art research and development at the intersection of deep learning and simulation. You’ll contribute to groundbreaking projects in financial services, craft innovative hybrid models, and have your work presented to clients, and … potentially at top-tier AI conferences. Responsibilities: • Design and implement novel techniques that integrate deep learning with simulation models for financial applications. • Build hybrid models that leverage neural networks to approximate unknown functions in complex simulations. • Explore the potential of vision-language models in simulated financial environments. • Apply More ❯

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 … 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 More ❯

ROLE OVERVIEW: We are currently looking for a Machine Learning Scientist to join a leading pharmaceutical company based in the Cambridge area. As the Machine Learning Scientist, you will be responsible for driving the development of innovative machine learning methods for structure-based drug discovery. KEY DUTIES … AND RESPONSIBILITIES: Your duties as the Machine Learning Scientist will be varied however the key duties and responsibilities are as follows: 1. Design and implement ML models for structure-based design, including protein-ligand interaction modelling and co-folding applications. 2. Develop and extend AI approaches that integrate structural … ensure effective translation of research into production-ready solutions. ROLE REQUIREMENTS: To be successful in your application to this exciting role as the Machine Learning Scientist we are looking to identify the following on your profile and past history: 1. Relevant degree in a technical discipline (e.g., computer science More ❯

team to support ambitious growth and deeper market penetration. The Role They’re looking for a Lead Data Scientist to architect a next-generation, deep learning-based time series forecasting engine. This engine will sit at the core of their dynamic energy marketplace, shaping critical decisions across pricing … prep- freeing you up to focus on advanced modeling and experimentation. What You’ll Do Design and build robust long-term forecasting models using deep learning techniques (LSTMs, RGUs, deep fusion models), though strong statistical or machine learning backgrounds are also welcome. Take a contextual approach … experience working with time series forecasting; long-term forecasting is a plus, but strong short-term expertise is also valuable. Proven track record using deep learning for time series forecasting. Comfortable collaborating across teams and clearly communicating complex ideas. Experienced in mentoring junior team members. Nice to have More ❯

Job Title: Machine Learning Engineer – Point Cloud & AI Solutions Location: Birmingham - Remote (occasional travel) Salary: £50,000 - £90,000 DOE (Very flexible) About Us We are a multidisciplinary UK design and modelling team specialising in data-rich models derived from point cloud scans. Our work supports BIM exercises, photogrammetry … to continuously enhance laser scanning and Scan2BIM workflows using smart, efficient, and AI-driven technologies. Role Overview We are seeking a highly skilled Machine Learning Engineer with a strong background in point cloud data processing , 3D spatial modelling , and the development of AI/ML-driven solutions to join … This role will focus on automating and enhancing workflows related to Scan2BIM, digital twin creation, and high-resolution visualisation through the integration of machine learning and AI. Key Responsibilities Develop and deploy ML algorithms for processing and interpreting 3D point cloud data (e.g., segmentation, classification, object detection). Build More ❯

Machine Learning Engineer (Medical & Drug Discovery) Oxford (2 days a week onsite) Competitive (Up to £85,000, DOE) Join a leading innovator in medical and drug discovery, using AI to accelerate healthcare breakthroughs. If you're passionate about applying machine learning to complex biological challenges, this is your … chance to make a real impact. Role Overview: As a Machine Learning Engineer, you'll design and optimize AI models to advance biomedical research. You'll collaborate with data scientists, bioinformaticians, and scientific experts to transform large datasets into actionable insights. Key Responsibilities: Develop, train, and deploy ML models … for protein structure, drug-target interactions, and biomarker discovery. Build data pipelines for large biomedical datasets (genomics, clinical, molecular). Implement deep learning models (e.g., CNNs, RNNs, transformers) for biological analysis. Apply NLP to process biomedical literature and clinical data. Collaborate with cross-disciplinary teams to ensure models More ❯

plug directly into the world's most impressive DeepTech businesses in the world to place the TOP 1% across Robotics, Computer Vision, GenAI, Machine Learning, Deep Learning, Reinforcement Learning + the works. I could keep going, so let me skip to the logistics of the role More ❯

retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build … experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and … product partners locally and abroad, and join conversations with customers led by our marketing team. Essential skills PhD in Computer Science, Computational Engineering, Machine Learning, Statistics or a related field Experience in state-of-the-art deep learning models architecture design and deep learning training More ❯

join our forward-thinking London-based team and contribute to transformative AI initiatives from day one! In this role, you’ll collaborate with machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to computer vision … s in it for you? AI-Focused Projects: Work on cutting-edge AI systems—chatbots, recommendation engines, anomaly detection, generative models, and more. Accelerated Learning: Access to AI-specific training, conferences, and mentorship from experienced data scientists and ML engineers. Innovative Culture: Be part of a team where experimentation … What We’re Looking For: A degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow More ❯

Month Contract (Somerset, Hybrid) 📍 Location: Commutable from Bristol (Somerset) - Hybrid ⏳ Contract: 12 Months 💰 Day Rate: Competitive - Inside IR35 🏢 Industry: Government Defence | Data | AI & Machine Learning 🔐 Security Clearance: Active SC clearance preferred but not essential—candidates must be eligible for clearance . The Opportunity Our client, a leading Data enabler … and data science strategy. This high-impact role will lead a team of data scientists and work closely with senior stakeholders to operationalise machine learning , enhance automation, and ensure responsible AI governance. This is an exciting opportunity to shape the future of AI and data science within a Microsoft … date with industry advancements and emerging AI applications. 🔹 Collaborate with external partners, including other government agencies and industry bodies. 🔹 Provide technical leadership on machine learning deployment, MLOps, and model performance monitoring . Key Requirements ✅ Expertise in Data Science & Machine Learning , including supervised/unsupervised learning, deep More ❯