201 to 225 of 995 Machine Learning Jobs in London

Title: Deep Learning Researcher Location: London or Cambridge, UK Type: Permanent Our client are an international semiconductor company. Responsibilities: Lead engineering efforts on complex research projects in machine learning and artificial intelligence Optimize algorithms and ensure the scalability and robustness of research prototypes and systems Coordinate closely … related fields Requirements: PhD in Computer Science or related subject Track record of contributing to top publications or open-source projects Extensive experience researching machine learning algorithms and systems Advanced proficiency in programming languages such as Python, C++, or similar Proven ability to lead engineering projects and work ...

recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. The Role The Senior ML Infrastructure Engineer will extend and operate the infrastructure that powers our research model training, fine-tuning, and serving pipelines. You will be embedded within … Research function, partnering directly with ML engineers and research scientists to ensure they can train Large Physics Models efficiently and reliably at scale. Team Context In this role, you will be vertically embedded in Research, working daily with: Research Scientists who determine the model architectures and methods ML Engineers ...

responsible AI solutions across a range of high-profile client engagements. Key responsibilities will include: * Designing and implementing end-to-end AI/ML solutions from development through to deployment and monitoring * Building scalable Generative AI and Agentic AI solutions, including RAG pipelines and orchestration frameworks * Implementing MLOps frameworks, governance … major Consulting firm, and/or in industry * A strong consulting mindset with experience engaging senior stakeholders * Proven experience designing and delivering AI/ML solutions at scale * Strong understanding of Generative AI, Agentic AI and modern AI engineering frameworks * Experience with at least one major cloud platform including Azure ...

drive efficiency across the business.Do you love shaping the technical landscape and driving innovation across the organisation Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision At Capital One, you'll be part of a community of technical leaders … drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs.What You'll DoOwn and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoptionLead and coordinate ML ...

Python, and should be as comfortable refactoring a trainer class or a dataset loader as you are writing Terraform. Responsibilities Own and evolve the ML systems that enable training, evaluation, and serving of large foundation models — trainer, dataset loaders, checkpointing, and experiment orchestration code. Distributed training enablement: Improve high‐throughput … optimize the underlying storage at petabyte scale (object storage, fuse mounts, caching layers, shared filesystems, and relational/analytical/embedded metadata stores). ML workflow orchestration and serving: Operate the systems researchers use to launch experiments, data jobs, and production endpoints — workflow engines (e.g., Kubeflow Pipelines, Airflow), GPU schedulers ...

integrate software features that are vital to the lives of credit card consumers. Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively … architectural stability. Collaborative Mindset: Ability to communicate effectively across engineering teams to maximise innersourcing and reduce technical debt. What you’ll get to learn ML Integration at Scale: How to take machine learning models out of the lab and into a high‐concurrency production environment. Regulated AI: Navigating ...

/London (hybrid) or remote from EU/UK What will you do Accelerate researchers by taking on the heavy parts of large‐scale ML pipelines and building robust tools. Interface cutting‐edge research with production: integrate checkpoints, streamline evaluation, and expose APIs. Conduct experiments on the latest deep‐learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs). Design, implement and benchmark ML algorithms; write clear, efficient code in Python. Deliver prototypes that become production‐grade components for Le Chat and our enterprise API. About you Master’s or PhD in Computer Science ...

Founding Software Engineer/AI & ML Engineer – Applied AI Startup Location: On-site Experience: Exceptional Engineers from 2+ Years to Senior/Staff Level We're working with one of the most exciting Applied AI startups in Europe, a company using cutting-edge AI to transform an industry that … platform and an ambitious vision ahead, they're scaling aggressively and looking to hire exceptional engineers across both Software Engineering and AI/ML Engineering . This is a company that places an enormous emphasis on talent density. Rather than hiring against rigid job descriptions, they actively seek out exceptional ...

Data Scientist/Machine Learning Scientist Hybrid – London( 3 days office-2 days remote ) Rate 500-550 Outside IR 35(Negotiable) Contract 6 months initially, likely to extend Build Production-Grade AI Systems at Scale We’re Looking for AI Builders — Not Just Experimenters If you’ve deployed ...

application and research-focused roles. These opportunities span cutting-edge work across computer vision, audio, speech, NLP, multimodal AI, robotics, foundation models, and applied machine learning. Roles are available across early-stage and scaling startups, with teams building real-world AI products as well as advancing core model research. … related technical field Research or engineering experience in vision, audio, language, robotics, multimodal systems, or deep learning Strong publication record, applied ML experience, or hands-on model-building expertise Interest in joining high-growth startup environments Ability to move between research, experimentation, and production impact Typical roles include ...

SeniorML Systems Engineers - Vision ML/Visual Data Processing A privately backed AI technology company operating at the intersection of machine learning in the media industry. You will own core ML infrastructure end to end, from data ingestion and curation through to distributed training and production inference, working ...

combine technical excellence with consulting impact across major clients and industries. What You'll Do Develop and deliver data science solutions using Python and machine learning (predictive, classification, forecasting, deep learning). Lead or support Generative AI/LLM projects, building or evaluating models tailored to customer … science or analytics experience (typically around 5 years). Proven track record with Generative AI and LLM‐based solutions. Strong proficiency in Python and machine learning techniques. Solid knowledge of customer or marketing analytics. Background in consulting, in‐house analytics, or agency environments. Excellent communication and problem‐solving ...

ML Researcher Location: London (Hybrid) The Company My client is a fast-growing technology business doing genuinely impactful work, building platforms that make physical environments safer and more intelligent. They operate at the cutting edge of computer vision and real-time AI, and they are scaling quickly. The team … where the work matters and the 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 ...

augmented generation (RAG), named entity recognition (NER), prompt engineering, and personalization for content extraction, search, question answering, reasoning, and recommendation. Develop LLM, NLP, and ML solutions that address client requirements and drive business transformation. Work closely with partner teams—including Business, Technology, Product Management, Strategy, and Business Management—to deploy … reliability. Communicate results effectively to business stakeholders through written reports, visualizations, and presentations. Stay current with the latest research in LLM, agentic AI, ML, and data science, and proactively identify and leverage emerging techniques to drive ongoing enhancement. Qualifications and Skills Proven experience applying NLP, LLM, and ML techniques ...

based on feedback and communicate results clearly. Qualifications Strong ability to translate ideas into working solutions quickly. Hands-on skills across: Python (data processing, ML, prototyping). Data engineering (APIs, data pipelines, SQL, cloud data). Lightweight app development (APIs, simple frontends, notebooks, dashboards). Solid (not necessarily extensive) knowledge … statistical/mathematical fundamentals that support and proposed ML methodologies. Experience building end-to-end prototypes, not just models. Comfortable working in ambiguous, fast-moving environments. Strong problem-solving and independent thinking. Nice to have Experience integrating LLMs or AI services into applications. Familiarity with modern data platforms (e.g. Snowflake ...

Market is seeking a Graduate Machine Learning Engineer in London to join its dynamic team. The role involves collaboration with experienced ML Engineers to productionise models and enhance machine learning workflows. The ideal candidate will have relevant academic experience in Python and demonstrate problem-solving skills. ...

London. In this pivotal role, you'll provide technical leadership across the full lifecycle of machine learning systems while architecting production-grade ML solutions. You will work with AWS SageMaker, lead teams on MLOps strategies, and ensure systems adhere to governance standards. This is a hands-on, technical … position ideal for those with deep expertise in ML frameworks such as PyTorch and TensorFlow, as well as experience in deploying scalable architectures. #J-18808-Ljbffr ...

project delivery, stakeholder engagement, and supporting the development of others. For those at **Consultant** level, the role offers strong exposure to client work, learning from experienced practitioners, and a clear pathway for progression.We value curiosity, collaboration, and a growth mindset, and we encourage applications from candidates …/EPOS, digital, social and loyalty.* **AI Delivery Excellence** – Proven experience owning workstreams including planning, execution, and successful delivery of insights or AI/ML POCs, MVPs and production grade solutions.* **Programming Experience** - Skilled in using programming languages such as Python* **Cloud Expertise** - Knowledge of cloud platforms and tools ...

contract basis - Hybrid working - London based The AI Engineer will join a cross-functional data team to design, develop, and deploy AI/ML models that tackle real business problems - from prediction and automation to customer personalisation and decision intelligence. You'll play a hands-on role in taking models … versioning, and monitoring Contribute to documentation, knowledge sharing, and process improvements Profile The AI Engineer will have a proven commercial experience delivering AI/ML projects end-to-end in production environments Strong Python skills with hands-on use of ML libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face ...

shipping code, but is comfortable influencing architecture, mentoring engineers, and shaping technical direction. You will have significant influence over: Core system architecture AI/ML strategy and implementation Data modelling and enterprise integration patterns Early product design decisions Engineering standards and scalability approach Key Responsibilities Design and build core components … technology environment (SaaS, AI platform, or similar) Proven ability to ship production-grade AI or data systems Strong Python engineering capability Experience with modern ML/LLM systems and frameworks Exposure to cloud-based AI/ML platforms (AWS, Azure, or GCP) Comfortable working in early-stage environments with ambiguity ...

Collaborate with senior stakeholders to shape proposals, refine scopes, and identify new opportunities. Translate business challenges into scalable, data‐driven solutions using Python and machine‐learning methods (predictive, classification, forecasting, deep learning). What You’ll Bring 6+ years’ experience in data science, analytics, or consulting. Proven … operating at manager level, leading teams or workstreams. Strong track record with customer data/marketing analytics and AI‐powered solutions. Proficiency in Python, machine‐learning, and data storytelling. A collaborative mindset with the confidence to drive delivery and client relationships. Either consulting or agency background – leadership, commercial ...

security through robust engineering practices. Monitor, troubleshoot, and optimise data workflows for efficiency and cost-effectiveness. Collaborate with data scientists and analysts to facilitate machine learning and analytical solutions. Contribute to best practices, coding standards, and documentation to improve data engineering processes. Mentor junior engineers and support knowledge … code. Strong problem-solving skills and the ability to work in fast-paced environments. Excellent communication and stakeholder management skills. Preferred Qualifications: Experience with machine learning data pipelines and MLOps practices. Knowledge of data streaming technologies such as Kafka or Kinesis. Familiarity with Terraform or similar infrastructure automation ...

Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client‐facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients … great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic ...

Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients … great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic ...

Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients … great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic ...