1 to 25 of 27 Permanent Deep Learning Jobs in Slough

across tech and finance to help us achieve our aim. Senior Research Engineer We are seeking a highly talented and experienced Senior Research Engineer with a strong background in deep learning, particularly in the development and application of Large Language Models (LLMs), to join our growing team. This role blends research and engineering expertise, requiring a deep … will collaborate with team members to advance our AI capabilities. Responsibilities Design, develop, implement, and train very large AI models, with a focus on LLMs. Conduct original research in deep learning, particularly in areas relevant to LLMs, exploring novel architectures, training processes, and applications within the financial domain. Collaborate with portfolio managers, quants, traders, and engineers to understand … and translate them into effective AI/ML solutions. Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and pipelines to support the development and deployment of machine learning models. Stay current with the latest advancements in AI, machine learning, and data science, particularly in the LLM field, and share knowledge with the team. Contribute to the More ❯

themselves. Position Overview: You will join the Entrust Applied Science team as a research intern. The team consists of 20+ Applied Scientists located in London, UK. We develop machine learning and computer vision models for the Onfido product lines, in particular fraud detection and data extraction on government IDs and biometrics data. You will work together with a team … of scientist who will coach and train you during your internship. We use state-of-the-art technology (deep learning, VLMs), own a large proprietary dataset of images and videos and use a multi-GPU cluster. We use standard frameworks (python, pytorch, tensorflow, dask, AWS). We impact production directly but also the machine learning community. Responsibilities … train models on state-of-the-art GPUs Your work will impact products used by dozens of millions of users worldwide You will be mentored by a senior machine learning scientist to make sure you are successful in your mission You will have the opportunity to publish and open-source your work You will be part of a vibrant More ❯

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 … 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 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 ❯

engaging pursuit. Program Highlights Mentorship: Collaborate with experienced researchers and engineers on innovative AI projects Research Focus: Engage in areas such as large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models Professional Development: Gain hands-on experience in AI research with real-world applications, contributing to both academic publications and product … leading universities and contribute to the broader scientific community Work Arrangement: Benefit from a hybrid work model, combining remote and on-site collaboration Responsibilities Conduct innovative research in machine learning and artificial intelligence Develop and implement algorithms Collaborate with cross-functional teams to integrate AI solutions Publish research findings in top-tier conferences and journals Stay up to date … with the latest advancements in AI and related fields Qualifications Required: PhD in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field Proficiency in programming languages such as Python, C++, or similar Strong problem-solving skills and the ability to work both independently and collaboratively Excellent communication skills, with the ability to present complex ideas clearly More ❯

Machine learning Quantitative Engineer London - Hybrid working Rate - £1,200 Key Responsibilities Research, design, and implement machine learning and quantitative models for pricing, trading signals, and risk management across Fixed Income products (rates, credit, FX, mortgages). Apply advanced statistical learning methods (time-series, NLP, deep learning, reinforcement learning, graph-based models) to large … support production trading environments. Collaborate with traders, quants, and technologists to prototype and scale strategies from research to execution. Conduct rigorous backtesting, performance analysis, and explainability assessments of machine learning models. Contribute to the development of quantitative libraries and shared research infrastructure. Qualifications & Skills Essential: Strong expertise in machine learning, statistical modelling, and numerical methods with practical applications. More ❯

About Us We are a VC-backed startup focused on behavioural AI, currently in stealth. We are building for retail with a focus on Recommendation Systems, Reinforcement Learning and Generative AI. Our platform is designed from the ground up - no legacy, no patchwork systems - just a clean slate and a clear vision. Our mission is to build products that … customers love by harnessing cutting-edge AI to transform their shopping experience. About the Job We are looking for a Senior Data Scientist with experience in bringing advanced machine learning and data science systems to production to work with our team of industry leading domain experts and engineers. You'll be working across our entire data science stack, from … advanced recommender systems to comprehensive performance analytics. Key Responsibilities: Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. Bring your models to production and optimise for inference in edge computing environments. More ❯

I’m working with a top AI firm hiring Senior Software Engineers into their R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more. 💼 Role: Senior Machine Learning Engineer – Robotics 🌍 Location: London (onsite) 💸 Package: Negotiable … + stock options What you’ll be doing Training policies via representation learning, behaviour cloning & RL from data to deployment. Building pipelines that fuse vision, language, audio, proprioception & 3D data. Scaling distributed training + optimising models for real-time edge inference. Helping shape how intelligent systems learn and act in the real world. What we’re looking for 3+ … years developing deep learning systems with shipped models or published research. Hands-on with Vision Language Models, LLMs or generative models. Strong Python + PyTorch/JAX skills (debugging, profiling, shipping). Passion for bridging the gap between simulation and reality. This is one of the most exciting and technically challenging roles I’ve see with the chance More ❯

Are you a Machine Learning Engineer ready to kickstart your career in AI? We’re looking for a driven and detail-oriented Machine Learning Engineer to join our hybrid-working team in London. You’ll collaborate with talented engineers and data scientists to build and deploy intelligent systems that transform unstructured data into actionable insight. You’ll be … finance and professional services. This is an exciting opportunity for a recent graduate or early-career professional with up to one year of experience who’s passionate about machine learning, generative AI, and applying cutting-edge research to real-world challenges. In this role, you’ll: 🧠 Design, train, and evaluate machine learning and deep learning models … transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable systems 💡 Contribute to research and experimentation around model performance, optimisation, and privacy-aware learning What’s in it for you? 📈 Career Growth – Build hands-on experience in cutting-edge AI while developing your technical expertise through mentorship and ongoing learning ⚙ Impactful Work More ❯

London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are … RL, LLMs, and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to … and human feedback teams to build scalable alignment pipelines. Publish findings in top-tier AI conferences and contribute to open-source frameworks. Key Requirements: PhD in Computer Science, Machine Learning, or related field. Publications at NeurIPS, ICML, ICLR, ACL, or related venues. Deep expertise in Reinforcement Learning (policy optimisation, reward modelling, RLHF). Hands-on experience training More ❯

make a real impact. This is a fantastic opportunity for a recent graduate or early-career professional with up to one year of experience who’s passionate about machine learning, data, and building intelligent systems that solve real-world problems. In this role, you’ll: 🧠 Design, train, and evaluate machine learning and deep learning models for … AI trends and contribute fresh ideas to improve models and workflows What’s in it for you? 📈 Career Growth – Develop your technical expertise through hands-on mentorship and continuous learning opportunities. ⚙ Real-World Impact – Work on projects where your models and insights directly influence business decisions and products. 💬 Collaborative Environment – Join a supportive, innovative team that values curiosity, creativity … in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field 🐍 Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn 🧩 Understanding of machine learning algorithms and statistical modelling 📈 Strong problem-solving and analytical mindset 🗣 Excellent communication skills and a genuine passion for learning Nice to Have: 💾 Experience with SQL, data pipelines , or More ❯

I’m working with a top AI firm hiring Senior Software Engineers into their R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more. 💼 Role: Senior Computer Vision Engineer - Robotics 🌍 Location: London (onsite) 💸 Package: Negotiable + … stock options What you’ll be doing Training policies via representation learning, behaviour cloning & RL from data to deployment. Building pipelines that fuse vision, language, audio, proprioception & 3D data. Scaling distributed training + optimising models for real-time edge inference. Helping shape how intelligent systems learn and act in the real world. What we’re looking for 3+ years … developing deep learning systems with shipped models or published research. Hands-on with Vision Language Models, LLMs or generative models. Strong Python + PyTorch/JAX skills (debugging, profiling, shipping). Passion for bridging the gap between simulation and reality. This is one of the most exciting and technically challenging roles I’ve see with the chance to More ❯

As an Edge AI Engineer, you will bridge research and production, ensuring our models are optimised for on-device inference. If you want to operate at the frontier of deep learning and real-world deployment, this role is for you. What You Will Do Deploy smaller task-specific models built on top of our offline Foundation Model to … is edge-aware and device-compatible from the start. Test and validate performance in live, resource-constrained environments. What We Look For 2 to 4 years of experience deploying deep learning models to mobile or edge devices, ideally Android. Strong proficiency in Python and Java or Kotlin, with experience translating ML code between languages. Practical experience with mobile More ❯

Job Title: Machine Learning Engineer Location: London, UK (Hybrid – 2–3 days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible … for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions … environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning More ❯

About the Role (Dubai based) We are seeking an experienced and visionary Head of Data Science & Machine Learning to lead and scale our data science organization. In this role, you will drive innovation and execution across core ML pillars such as Search , Recommender Systems , Personalisation , and Generative AI (GenAI) to power the next generation of user experiences. You will … for shaping the strategy, building high-performing teams, and delivering impactful ML-driven features that directly influence key business outcomes. This is a hands-on leadership role that blends deep technical expertise with strategic vision and cross-functional collaboration. Key Responsibilities Strategic Leadership Define and execute the long-term strategy for Data Science & ML aligned with company goals. Champion … algorithms. Integrate LLMs and transformer-based models to enhance search accuracy and contextual understanding. Recommendation Systems & Personalisation Oversee the design and deployment of large-scale recommender systems (collaborative filtering, deep learning-based, hybrid models). Drive user-centric personalisation across product surfaces using behavioural, contextual, and real-time data. Ensure systems are explainable, bias-aware, and continuously improving. More ❯

in Investment Banking environment would be a plus Spanish would be a plus Skills Mandatory Skills : Python, ServiceNow Orchestrator, Azure Cognitive Services, GenAI - LLMOps,RPA - Microsoft Power Automate, Machine Learning - AIOPS, Deep Learning - AIOPS, Reinforcement Learning - AIOPS More ❯

Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and Machine Learning Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment. This is a unique opportunity to work on a wide range of high-impact data science projects, leveraging cutting-edge technologies … shaping our data capabilities and delivering meaningful insights that support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists … data science solutions. Manage multiple projects from inception to deployment within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to More ❯

the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it’s predicting … customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full … testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data More ❯

/ML instrumentation to extract insights and optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/B tests and … up to date with industry advancements in data processing and AI/ML, and introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in … personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in deep learning architectures (e.g., attention models, transformers, retrieval models). Hands-on experience with LLMs and GenAI technologies. Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive. Deep understanding of classical and modern ML techniques, A More ❯

oversee preprocessing, cleaning, and curation workflows essential for efficient LLM training and inference. Model Development & Evaluation Lead the development and evaluation of LLMs, leveraging expertise in transformers , self-supervised learning , and large-scale distributed training . Optimize training pipelines for enhanced performance, compute efficiency, and responsible AI alignment. LLM Deployment & Scalability Manage the end-to-end deployment of LLMs … business needs. Mentor junior researchers and engineers, promoting best practices in LLM development, scalable model deployment, and evaluation processes. Required Skills & Qualifications Experience: 3+ years in NLP, transformer models, deep learning, and scalable AI pipelines, with demonstrated involvement in LLM development, fine-tuning, or deployment. Technical Skills: Proficiency in Python and frameworks such as PyTorch , TensorFlow , or JAX More ❯

leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Machine Learning Researcher with a strong background in machine learning, AI, or related fields. You’ll contribute to innovative projects in areas such as large language models (LLMs), reinforcement learning … and contribute to open research Requirements: PhD or equivalent experience in ML, AI, CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX More ❯

or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to the company platform, you will have access to powerful computational resources, and you will enjoy the comforts … to become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques … for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill An appreciation for the scientific method as applied to the commercial world More ❯

world impact in sport, this is the role for you. Key Responsibilities Collect, clean, and process football-related data from diverse sources Develop and apply statistical models and machine learning algorithms to analyse player performance, match outcomes, and tactical insights Build clear, compelling visualizations and deliver insights to both technical and non-technical stakeholders Collaborate with analysts, coaches, and … performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine … Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models, including building and deploying APIs Strong visualization and communication skills , with the ability to translate complex technical findings into actionable insights for coaches, analysts, and More ❯

one investors to find a Senior Data Scientist to take a lead role in shaping their data science capability. This is a high-impact position where you’ll combine deep technical expertise with strategic product influence, embedding AI and ML at the heart of next-generation financial data products. The Opportunity As Senior Data Scientist, you’ll be both … a leading individual contributor and a mentor. You’ll drive excellence across the data science stack, champion technical best practice, and influence product direction with a deep understanding of financial data ecosystems. This role sits at the intersection of AI innovation, product strategy, and engineering culture , giving you the freedom to deliver solutions that scale globally. What You’ll … MLOps : deploying, monitoring, and scaling models in production Strong cloud experience (AWS, GCP, or Azure) and comfort with CI/CD pipelines Broad data science expertise spanning classic ML, deep learning, and cutting-edge AI/agent approaches Strategic thinker who can balance speed with quality and big-picture vision with hands-on delivery Track record of mentoring More ❯

solutions: Microstrategy, Qlik, PowerBI, Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point More ❯