16 of 16 Deep Learning Jobs in Central London

Machine Learning Engineer A fantastic opportunity for a Machine Learning Engineer to join a world-leading AI technology company developing cutting-edge software solutions. This is an ideal opportunity for an ML Engineer who has a strong academic background and experience working with LLM technologies. You will work … alongside Software Engineers, Machine Learning specialists, and the wider tech team to deploy, integrate and optimise innovative machine learning models within highly advanced, real-world products. Location: Cambridge, Cambridgeshire, hybrid working with a minimum of 2 days per week in the office Salary ...

plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious … personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves ...

plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious … personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves ...

Research Engineer to join a collaborative team where cutting-edge ideas become practical solutions. As a Research Engineer, you'll work on advanced machine learning technologies including large language models, reinforcement learning, optimisation, and generative AI, helping shape future semiconductor design and AI systems. … implementation while working alongside leading AI experts, this is an opportunity to make a genuine impact. Key Responsibilities Implement and evaluate novel machine learning algorithms and AI research concepts. Develop prototypes and proof-of-concept systems to support research initiatives. Collaborate with researchers to translate theoretical ideas into practical ...

Machine Learning Scientist | AI for Energy | Hybrid We're working with an innovative AI company that's transforming the energy sector through cutting-edge machine learning and advanced modelling techniques. If you're passionate about solving complex real-world problems and enjoy working with large-scale data … love to hear from you. You'll be working with: Time series forecasting and analysis Digital twins Surrogate modelling Deep learning models Real-world energy datasets to optimise performance and decision-making We're looking for someone with: Strong experience in Machine Learning and Python Commercial experience ...

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part … headcount growth this year to over 1000 which includes a 20% increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over ...

year of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data … generation and inference tasks. You will develop production-ready pipelines for at-scale data processing using distributed computing frameworks, run and monitor large-scale deep learning experiments, and leverage JAX to establish end-to-end pipelines for fine-tuning foundational models. Your work will involve delivering synthetic datasets ...

competitive base salary + performance-linked bonus structure Overview We are currently partnering with a premier systematic investment firm to identify an exceptional Machine Learning Quantitative Researcher. In this role, you will join a specialized research team dedicated to developing next-generation quantitative trading strategies. This position offers … opportunity to leverage extensive computational resources and robust data infrastructure to focus exclusively on greenfield research. You will be tasked with applying advanced machine learning methodologies to complex, unstructured datasets to identify and capture new sources of alpha in global financial markets. Key Responsibilities Design, develop, and deploy advanced ...

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 ...

world class engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate your results to the Science team, Engineering and Product … teams Participate in the machine learning life of the team (reading groups, etc.) Learn best machine learning practices from a team of senior applied scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at least one deep ...

their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings and other advanced features … data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. REQURIED SKILLS & EXPERIENCE Proven experience in machine learning, particularly in recommendation systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency ...

across the full lifecycle from data exploration through to model development validation plus deployment support. Responsibilities for the Data Scientist: Develop statistical models machine learning solutions analytical frameworks to address complex business problems Explore large structured semi-structured datasets to identify patterns trends predictive signals Build test refine models … Scientist: Strong experience in data science using Python with libraries such as Pandas NumPy scikit-learn or similar Solid grounding in statistics probability machine learning techniques Proven experience working within cloud environments such as AWS Azure or GCP Experience working with SQL large analytical datasets Ability to clearly communicate ...

applying them to some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer (Leadership) - Machine Learning Responsibilities:Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficientEffectively communicate complex features & systems in detailUnderstand industry … staffing/prioritizing these new ideasSuggest, collect and synthesize requirements and create an effective feature roadmapDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based modelsAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum ...

Pattern:3 days per week in office Location: London, UK (Farringdon) Pay: 500 to 750 per day Inside IR35 Are you ready to dive deep into the world of data and transform complex business challenges into actionable insights? Our client, a leading organisation in the retail industry … wider community. What You Bring: Educational Background: A strong numerical degree in mathematics, science, engineering, or computer science. Technical Expertise: Extensive experience in machine learning, data mining, and programming (Python preferred). Problem-Solving Skills: A scientific mindset with the ability to ask and answer the right questions. Specialised ...

people are given the space to do it well. The Role They are looking to bring on an ML Researcher to join the machine learning team in London. You will own research directions end-to-end, from problem formulation through to production deployment, working across a range of computer … vision and deep learning disciplines. The expectation is to publish at top venues and ship at scale. There is also real scope to shape the research roadmap and mentor junior researchers as the team grows. Requirements PhD, or Master's with equivalent research experience, in Computer Vision, Machine ...

senior technical guide to ensure pay models are rigorous, auditable, mathematically consistent, and free from unintended bias. MLE Collaboration: Partner closely with Machine Learning Engineers to ensure smooth, robust deployment and scaling of production-ready models. Causal Experimentation: Lead the design and execution of complex marketplace experiments to accurately … leadership and people management, with a demonstrated ability to mentor, guide, and develop Data Scientists. Prior hands‐on experience developing, deploying, and maintaining machine learning models in a corporate environment. Advanced conceptual proficiency in data science and machine learning methodologies, ideally with experience in logistics, geospatial analysis ...