14 of 14 Deep Learning Jobs in Central London

real biological applications, and working directly with ML engineers and biologists to translate biological questions into model objectives. Requirements You have built novel deep learning architectures or frameworks applied to genomics or protein modelling. This is the defining requirement for this role. We're looking for people … level where you can make modelling decisions informed by the biology Experience curating or evaluating training data for large-scale biological models Deep learning must be a core competency, not a secondary skill. Strong biology alone is not sufficient, and general ML experience without biological applications ...

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 ...

Machine Learning Engineer Senior, Lead & Principal Location: London/Hybrid Level: Senior, Lead & Principal Salary: £100,000£140,000+ Sector: AI/Machine Learning/Technology Anson McCade are partnered with a leading UK AI organisation that is expanding its Machine Learning Engineering team and looking … hire Senior, Lead and Principal Machine Learning Engineers . This is an opportunity to work on technically challenging, high-impact AI projects, building and deploying machine learning solutions that move beyond experimentation and into real-world production environments. The Role As a Machine Learning Engineer, you will ...

hire for this role. YOU ARE As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution … lifecycle - assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. THE WORK Formulate real-world problems into practical, efficient ...

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 ...

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 … 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 ...

forefront of data management and analytics is essential to our investment strategy. We are looking for a motivated and detail-oriented Machine Learning Intern with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in our London office. Our Machine Learning … will play a vital role in forecasting price movements and supporting risk management decisions. Responsibilities: Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions. Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time ...

trust, respect, collaboration, agility, and quality. About the Role In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation … information retrieval, statistics, or a related quantitative field, or equivalent practical experience. Strong technical expertise across modern data science methods, including machine learning, experimentation, deep learning, generative AI, and production AI systems. Hands-on experience delivering AI-powered products, including LLMs, RAG, semantic search, embeddings, agentic workflows ...

working from home and our offices. Talk to us about how we can best support you! We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science … group priorities. Lead the implementation of data science projects and data science approaches to support commercial goals Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data ...

ambiguous environments. Desirable Experience It would be advantageous if you also have experience with: LLM fine-tuning Agentic AI systems Microservice architecture Go Deep learning/traditional machine learning AI coding and agentic development tools such as Claude Code, Codex or similar What This Role ...

ensure work is prioritized based on business opportunities. You will proactively manage dependencies across the cross-functional team. This includes continuous collaboration with Machine Learning (ML) and Backend Engineers, particularly for post-purchase Estimated Time of Arrival (ETA) implementation. Communicate the team's direction and impact to senior stakeholders. … DSTL partners closely with the Product Manager to advise and influence the strategic prioritization of work. Business Root Cause Analysis (RCA) & Solution Strategy: Drive deep analysis to uncover the root causes and underlying business drivers of accuracy gaps in ETA models. This includes diagnosing operational friction points (e.g., courier ...

product and experience design technology and experience platforms creative, media and marketing strategy and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit … solutions we deliver for our clients. As a Customer AI Developer Specialist, you will: Play a key part in delivering impactful Machine Learning (ML) and Generative AI solutions across a variety of industries and use cases. From solving complex business problems to deploying scalable AI models, you'll operate ...

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 ...

discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries … strategies grounded in generative models. You'll be joining a team with access to cutting-edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise, and a culture that embraces modern ML tooling, including agentic workflows, to accelerate research iteration. The role exists to drive imaging data ...