1 to 25 of 47 Deep Learning Jobs in Central London

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 ❯

Lead Data Scientist | Life Science | Hybrid (London) Up to £130k + equity We’re partnering with a pioneering health technology company using machine learning and predictive analytics to transform how cardiovascular and metabolic diseases are detected, treated, and ultimately prevented. Their mission is to use AI and data science to extend global health span by identifying individuals at risk … of disease before symptoms occur. You’ll join as the first Data Science hire, building the foundation of a platform that integrates multi-modal biomedical data, deep learning models, and large-scale population datasets such as UK Biobank and Our Future Health. This is a rare opportunity to lead model development in a setting that bridges scientific rigour … with production-grade engineering. Key Responsibilities Design, train, and deploy state-of-the-art machine learning and deep learning models to predict health outcomes and disease progression. Apply advanced statistical and causal inference methods (e.g. survival analysis, time-to-event modelling, propensity scoring, Mendelian randomisation). Analyse and integrate multi-omics and clinical datasets to uncover novel More ❯

A PhD level Machine Learning Scientist is needed to join this amazing research team based near King’s Cross. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning. You will play a key role in designing, implementing, and advancing cutting-edge … methods in: Reinforcement Learning (RL) LLM's Optimisation for Deep Learning You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications. Experience Required: A PhD in Machine Learning, Computer Science, Mathematics, Physics, or a related field A track record of … publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR,) (This is essential) Deep expertise in RL or large-scale Optimisation for deep learning Good programming skills in Python and experience with deep learning frameworks A passion for advancing AI research and contributing to the global ML community Key selling points Work on cutting-edge AI More ❯

significant contribution to the design, development, and implementation of advanced AI/ML models, frameworks, and systems. A notable part of the role involves building, training, and optimising machine learning models, including deep learning computer vision models, and fine-tuning natural language processing (NLP), and integrating third party generative AI models. Ideal background: • 3+ years of experience … in machine learning, deep learning or AI engineering • Advanced proficiency in Python and ML frameworks like PyTorch • Experience deploying and maintaining scalable production-grade AI systems • Strong understanding of data pipelines, MLOps and cloud platforms (AWS) • Experience working in small or mid-sized tech/software development environments (rather than in corporate environments) would be advantageous 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 ❯

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 ❯

IR35 To apply, email: jordanna.ramsey@searchability.com THE OPPORTUNITY A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You’ll be part of a highly skilled R&D team building next-generation AI solutions for … real-world data into actionable insights. Optimise AI systems for real-time environments, integrating with live data feeds and cloud infrastructure. Research and prototype cutting-edge AI techniques (e.g., deep learning, reinforcement learning, generative models). Support continuous model improvement and scalable MLOps deployment pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn … wearable/sensor data, player tracking, or sports video analytics TO BE CONSIDERED... Please apply directly by emailing jordanna.ramsey@searchability.com with your CV and availability. KEYWORDS: AI Engineer, Machine Learning Engineer, Sports Analytics, Computer Vision, Deep Learning, Python, TensorFlow, PyTorch, MLOps, Data Science, Predictive Modelling, Sports Tech, AI in Sports More ❯

Lead AI Research Engineer – Defence Technology | Machine Learning | Robotics | London The Opportunity As Lead AI Research Engineer , you’ll take ownership of designing and delivering cutting-edge AI and machine learning solutions that power real-world autonomous systems. You’ll lead a small, high-performing team of AI engineers while remaining hands-on, tackling some of the toughest … technical challenges in computer vision, multi-modal sensing, control systems, deep learning, and real-time inference . You’ll play a key role in shaping both the technical direction and the AI strategy — from research and model development to deployment on drones, ground robots, and edge devices. Key Responsibilities Build, lead, and mentor a high-performing AI and … Machine Learning engineering team . Design, implement, and optimise AI/ML models for perception, decision-making, and control. Integrate AI algorithms into both enterprise-scale and edge-deployed systems . Work with customers to translate complex problems into AI-powered solutions . Lead on data strategy , from collection and simulation to training and validation. Ensure AI safety, ethics More ❯

The team leverages technology and AI to enhance, not replace, human creativity and insight. Responsibilities - Lead end-to-end execution of complex data science projects integrating statistical modelling, machine learning (ML), and deep learning (DL). - Collaborate closely with cross-functional teams (product, engineering, business stakeholders) to deliver data-driven solutions. - Design and conduct hypothesis testing (A …/B and multivariate testing) and apply causal inference methodologies. - Perform exploratory data analysis, feature engineering, and develop models across traditional statistical and deep learning architectures. - Establish modelling frameworks with statistical quality control, detecting drift and decay. - Drive best practices for model explainability (e.g., SHAP/LIME) and scalable ML systems (including generative AI, NLP, CV, and recommendation … years in data science with at least 2 years leading teams. - Proven success in production deployment of ML/LLM/NLP/CV models. - Strong understanding of machine learning fundamentals, statistical inference, and model evaluation. - Advanced proficiency in SQL (e.g., PostgreSQL, ELT/ETL) and Python (PyTorch, LightGBM, Scikit-learn). - Experience with modern AI concepts: prompt engineering More ❯

Lead Data Scientist | London | Multiple Sectors 📍 London (Hybrid) 💰 Up to £120,000 + Equity + Private Health Machine Learning | Data Science Libraries | Deep Learning Frameworks | AI I’m currently looking for: 1 x Lead Data Scientist (Financial Services) 1 x Lead Data Scientist (Retail) 1 x Lead Data Scientist (SaaS) Our client partners with some of the … deliver innovative, data-driven solutions that transform customer experience, strategy, and performance. From global enterprises to digital-first disruptors, they help businesses harness the power of advanced analytics, machine learning, and AI to stay competitive in a rapidly changing market. If you’re looking for an opportunity to shape the future of applied AI across exciting industry sectors, this … a trusted advisor to senior stakeholders — defining approaches to complex data challenges, guiding enterprise-scale AI applications, and mentoring a team of talented data scientists. What You’ll Bring 🔥 Deep expertise in machine learning and statistical modelling ⚙️ Skilled with core data science tools (NumPy, Pandas, Scikit-Learn) and deep learning frameworks (PyTorch, TensorFlow) 💡 Proven track record More ❯

Machine Learning Research Engineer Location: London (Hybrid) Salary: Competitive + Benefits We’re working with a rapidly growing AI company developing cutting-edge technology that enhances real-time voice and audio communication. Their products use advanced deep learning and signal processing techniques to isolate speech and remove background noise, improving clarity and focus across a range of … industries, from enterprise software to high-performance environments. They’re now looking for a Machine Learning Research Engineer to join their R&D team in London. The successful candidate will work at the intersection of machine learning, signal processing, and real-time systems , developing and deploying novel models that push the limits of audio intelligence. Responsibilities: Research and … prototype deep learning models for speech enhancement and separation. Design and optimise training pipelines using large-scale audio datasets. Collaborate with engineering teams to deploy models into real-world, low-latency environments. Stay up to date with new research and contribute to the company’s IP. Requirements: Background in audio or speech-related ML (e.g., noise suppression, source More ❯

x Senior Data Scientists | London | Financial Services 📍 London (Hybrid) 💰 Up to £100,000 + Equity + Private Health 🧑 💻 Machine Learning | Data Science Libraries | Deep Learning Frameworks | AI Our client partners with some of the world’s leading financial institutions to deliver innovative, data-driven solutions that transform decision-making and operational performance. From major banks and asset … managers to insurers and fintech disruptors, they help their clients harness the power of advanced analytics, machine learning, and AI to stay competitive in a rapidly evolving industry. *If you’re looking for an opportunity to shape the future of applied AI in this sector, this is your chance.* ROLE: Senior Data Scientist We’re looking for 3 x … ready AI. You’ll also act as a trusted advisor to clients, working closely with senior stakeholders to shape strategy and deliver measurable business outcomes. What You’ll Bring 🔥Deep knowledge of ML/statistical methods (e.g. supervised/unsupervised, Bayesian, time-series). ⚙️Strong Python skills with core libraries (NumPy, Pandas, Scikit-Learn) plus deep learning 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 ❯

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 ❯

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 ❯

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 ❯

Job Description Role Overview: Apply cutting-edge AI and deep learning methods to communication system challenges. Contribute to high-impact research with opportunities to publish at leading AI or communication venues (NeurIPS, IEEE, etc.). Collaborate closely with our top Cambridge-based researchers and international colleagues. Requirement Preferred Qualifications Currently pursuing (or recently completed) a PhD, preferably in … Electrical Engineering or related quantitative fields. Background in wireless communication systems, e.g., OFDM and MIMO technologies. Track record of related publications or successful projects. Proficiency in Deep Learning frameworks (PyTorch, JAX). Familiarity with advanced AI methods (e.g., transformer models). Excellent scientific communication and teamwork skills. Enthusiasm for innovative research with real-world impact. Join us to More ❯

rewarding career journey. We’re building a more open world. Join us. In this role, you will: Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions. Conduct exploratory data analysis, formulate machine learning problems, and build effective models. Partner with data and software engineering teams to deliver your solutions into … production. Develop a deep understanding of our data and ML infrastructure Document the technical details of your work Present your ideas and results to product management, stakeholders, and leadership teams in a clear and effective manner. Collaborate and brainstorm with other team members and across the company Stay current with advances in ML and GenAI to drive innovation within … You have 2+ years hands on experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms You have expertise with Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL-like query languages for data extraction, transformation, and loading A strong foundation in Machine Learning More ❯

global financial services firm in the search for a Head of Data Science a strategic and delivery-focused leader who will drive enterprise-wide impact through advanced analytics, machine learning, and generative AI. This is a high-profile opportunity to lead a global team and embed data science into the core of decision-making, product innovation, and operational excellence. … science solutions into production environments at scale. 8+ years in data science, including 3+ years in leadership roles. Advanced degree (Master’s or PhD) in Data Science , Statistics , Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills in More ❯

expertise in AI and data science with proven leadership in delivering enterprise-grade AI systems to public and private sector clients. Key Responsibilities Design and architect AI and machine learning solutions across a range of use cases, including predictive analytics, natural language processing, and generative AI. Lead technical delivery teams, providing guidance on best practice, architecture, and development processes. … Contribute to business development activities, including bid writing, client presentations, and proposal delivery. Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present … within large organisations) through RFI/RFP responses, bid documentation, and client presentations. Hands-on experience with data science platforms such as Databricks , Dataiku , AzureML , or SageMaker , and machine learning frameworks such as TensorFlow , Keras , PyTorch , and scikit-learn . Expertise in cloud platforms ( AWS , Azure , Google Cloud ) and experience deploying solutions using cloud provisioning tools such as Terraform More ❯

startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to build and deploy machine learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from … who want to see their models not just trained, but deployed, adopted, and driving measurable results. What You’ll Do Design and deliver AI systems: Build and deploy machine learning models and data-driven products that directly impact investment decisions and portfolio company performance. Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into … cloud platforms, and MLOps best practices to build scalable, reusable solutions. Communicate insights clearly: Distill complex technical findings into concise, actionable narratives for technical and business audiences alike. Keep learning and pushing boundaries: Expand your engineering toolkit across the full ML development lifecycle—from prototyping to deployment—and explore new architectures, tools, and approaches to solving complex, real-world More ❯

and mission-driven impact on the world of sport. The Opportunity: They are now looking for a Senior Applied Researcher/Data Scientist to join a high-performing Machine Learning team that’s building AI solutions at scale for real-world applications in sports. You'll apply state-of-the-art techniques in computer vision and deep learning … globally. Collaborate closely with engineers and data scientists to develop end-to-end solutions that deliver real value to users. Technical Requirements: Strong experience in computer vision and machine learning, especially in areas like: Multi-object tracking Event detection Multi-view geometry Deep learning-based video analysis Proven experience bringing ML products from concept to production at More ❯

Lead Machine Learning Engineer Location: London (Hybrid) Salary: Highly Competitive + Benefits We’re partnered with an innovative AI company building world-class technology that powers real-time voice and audio intelligence. Their products use deep learning and signal processing to isolate speech, eliminate background noise, and enhance communication clarity across enterprise, consumer, and high-performance sectors. … They’re now looking for a Lead Machine Learning Engineer to take a hands-on leadership role within their R&D team. This position combines technical ownership and strategic direction , guiding the research, development, and deployment of machine learning models for real-time speech enhancement. Responsibilities: Lead the design, training, and optimisation of ML models for speech separation … product teams to integrate ML systems into live products. Contribute to the company’s long-term AI strategy and technical roadmap. Requirements: MSc or PhD in Computer Science, Machine Learning, or Signal Processing. Proven experience in leading or mentoring ML/AI engineering teams. Deep understanding of digital signal processing and speech/audio modelling . Proficiency with More ❯

London The Data Science function plays a pivotal role in delivering advanced Artificial Intelligence capabilities across the organisation. This position focuses on designing, developing, and deploying production-grade machine learning solutions while contributing to the strategic growth of AI-driven products. The successful candidate will join a multidisciplinary, globally distributed team and collaborate closely with Software Engineers, Product Managers … and other stakeholders. The role requires strong mathematical and statistical foundations, excellent software engineering skills, and proven expertise in modern machine learning techniques, including Computer Vision, Natural Language Processing, and Deep Learning. ---------------------------------------- Key Responsibilities Design, build, and deploy advanced machine learning models and algorithms into production. Lead technical development within cross-functional teams, providing guidance on ML … Models (LLMs). Demonstrated success delivering Computer Vision and/or NLP/LLM projects into production. Solid understanding of model deployment, pipelines, and software development fundamentals. Expertise in Deep Learning, including training, evaluation, and optimisation. Strong grounding in mathematics, statistics, and data analysis. Experience working in Agile environments. Familiarity with technologies such as AWS, GCP, Kubernetes, Ray More ❯