1 to 25 of 79 Machine Learning Jobs in Central London

ROLE OVERVIEW: We are currently looking for a Machine Learning Engineer to join a leading research organisation based in London. As Machine Learning Engineer, you will be responsible for advancing data-processing, model-building, and deployment capabilities for a pioneering research organisation. KEY DUTIES AND RESPONSIBILITIES … Your duties as the Machine Learning Engineer will be varied; however, the key duties and responsibilities are as follows: 1. Develop deep-learning pipelines for nuclear magnetic resonance (NMR) data and innovative machine learning approaches to elucidate and quantify interactions between small molecules and intrinsically ...

organisations with exceptional talent across AI, Technology, CRM and Senior Leadership appointments. We work with innovative organisations that are investing heavily in Artificial Intelligence, Machine Learning and Automation technologies to transform customer experiences, operational efficiency and business performance. We are currently supporting a high-growth organisation seeking … Working alongside AI Technical Leads, Product Teams, Software Engineers and Data Scientists, you will design, develop and deploy cutting-edge AI applications using modern Machine Learning and Generative AI technologies. You will play a key role in developing enterprise AI solutions, intelligent automation platforms, conversational AI systems, voice ...

offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you’ll have the space to shape the future with us.About The TeamYou’ll be joining … JD.com team, which values collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic environment.We are seeking a Machine Learning Team Lead with strong expertise in search and recommendation systems. In this role, you will lead a team of algorithm engineers, driving ...

global leading business is hiring a Senior Machine Learning Engineer. Hybrid position. Paying up to £1000 per day. Outside IR35 Experience and skills required for the Senior Machine Learning Engineer, Quantisation, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ In depth experience with … following Machine Learning: Quantization, PEFT, DeepSpeed, ONNX, TensorRT Deep Learning with PyTorch Experience with Strong experience working with inference servers like multi-LoRa, LoRA Exchange, TitanML ️ Previous industry exposure to multi-node HPC clusters ️ Experience with Large language models - OpenAI, Mistral, Claude, LLaMA Large language model ...

client's organization, the Data Science team tackles complex business challenges across various domains, including customer experience, supply chain, and technology. They leverage advanced machine learning, generative AI, and large language models (LLMs) to optimize prices, enhance store operations, and personalize customer experiences. Team members enjoy a collaborative … expand their expertise and make a significant impact. Your Role: As a Data Scientist, you'll be at the forefront of developing and deploying machine learning solutions that transform decision-making processes. Your key responsibilities will include: Designing and implementing robust models to optimize business operations. Building ...

Senior Consultant and Managing Consultant** level, this is an exciting opportunity to join a collaborative, innovative and fast-growing team delivering cutting-edge AI, machine learning and data science solutions across a broad range of industries. You'll work alongside talented consultants, data scientists and AI specialists, solving … turn data into meaningful commercial outcomes. What You'll Be Doing Depending on your level, you'll be responsible for: * Designing, building and evaluating Machine Learning, Generative AI and Large Language Model (LLM) solutions * Delivering AI and data science projects from discovery and proof of concept through ...

capability) who have real, hands-on experience building GenAI applications end-to-end. Not just prototypes, but production systems. This is a full-stack ML Engineering role where youll design, build, deploy, and monitor GenAI applications that integrate LLMs as part of a wider system. Youll be working on: Building … stack: data, model, application, and infrastructure Strong communication skills and ability to work with product, engineering, and business teams This is ideal for ML Engineers who love building end-to-end systems, not just models. People who can take a GenAI idea from concept to production and own the full ...

Vitality London Office.Full time, 37.5 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Proven machine learning expertise Strong MLOps and deployment capability Demonstrated stakeholder and influence skills What this role is all about: At Vitality, data scientists … projects.We are seeking highly skilled AI Engineers to join our growing team. You will design, develop, and deploy AI-driven applications leveraging both traditional machine learning and LLM based applications. The role involves building internal and external AI solutions such as Retrieval-Augmented Generation (RAG) systems, chatbots ...

ML Ops Engineer Role Overview Were hiring an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: youll design and operate data pipelines that feed models … with clear SLAs, reproducibility guarantees, and observable behaviour. This is not a research role; it is a hands-on engineering role focused on making ML systems work reliably at scale. What Youll Work On ML lifecycle infrastructure Productionizing models: packaging, deployment, versioning, and rollback Designing CI/CD pipelines ...

actively to codebases and architectural decisions Developing and deploying production-grade AI systems using Azure, Databricks and Generative AI tooling Owning the implementation of ML pipelines, APIs and data integration workflows Enforcing MLOps best practices, coding standards, version control and performance optimisation Collaborating cross-functionally with data scientists, product managers … Python proficiency (async programming, concurrency, multithreading) Expertise in RESTful API design, OpenAPI/Swagger documentation and API lifecycle best practices Hands-on experience with ML libraries: PyTorch, PySpark, scikit-learn, Hugging Face Transformers Proficiency in AI tooling: Azure ML, Databricks, MLflow, LangChain, LangGraph Proven experience with Git, unit testing, containerisation ...

Lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement. Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes. Lead the modeling framework for complex systems, guaranteeing … related quantitative field, or equivalent experience in practice. Experience: 5+ years of professional data science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring. Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience ...

ML Ops Engineer Role Overview Were hiring an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: youll design and operate data pipelines that feed models ...

hiring in Miami, London and Milan. Description -- Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets. -- Required: experience training ML models end to end (from … data processing to fine tuning), experience training across transformers/generative models/RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions/industry experiences. -- Positives but not requirement: PhD. Reference: AMC/AHU/NW/SPH001 ...

date with its features, capabilities, and roadmap Tungsten Solutions Knowledge : Maintain a firm understanding of all primary Tungsten Automation solutions and offerings AI and ML Capabilities : Leverage AI and machine learning capabilities, including natural language processing (NLP), computer vision, and LLMs, to optimize document processing, data extraction … term success of Tungsten Automation solutions Production AI Experience : Leverage experience with deploying, monitoring, and maintaining AI/LLM models in production (e.g., Azure ML, AWS Sagemaker, or Kubernetes-based ML pipelines) Thought Leadership : Provide thought leadership on AI-driven automation trends and best practices, both internally and externally Collaboration ...

White Collar Factory (95009), United Kingdom, London, London Engineering Manager - Software & ML About this role We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments . You'll lead and grow a team that builds … 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 ...

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 ...

Tech environment Key technologies include: Python Azure Databricks Generative AI/LLM frameworks Agentic AI tooling and orchestration frameworks LangChain/LangGraph PyTorch and ML libraries REST APIs Docker and containerisation CI/CD pipelines Git-based development workflows What we're looking for 4-6 years' experience within Software … Engineering, AI Engineering, or Machine Learning Engineering roles Strong hands-on Python engineering capability Experience building AI or machine learning solutions within production environments Strong understanding of Generative AI and modern AI engineering practices Exposure to Agentic AI frameworks or autonomous AI workflows Experience working with ...

senior stakeholders and executive leadership to communicate governance strategy, risks, and opportunities. Essential Requirements of the AI Governance Lead: • Proven experience leading AI or ML governance within insurance or financial services environments. • Strong background in data science, machine learning, or AI, with hands-on experience earlier in career. … management skills, with experience operating at senior or executive level. • Understanding of actuarial principles and insurance analytics is highly desirable. • Relevant certifications in AI, machine learning, or data science would be advantageous. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat ...

shape, design and deliver AI solutions to our clients. This is a fast-paced area of IT, so you will need to be continuously learning, be self-driven and think creatively about solving client problems. You will work with others to reflect back the views of our clients … agentic solutions using platforms such as Claude Code, Claude Agent SDK, Codex, and related AI engineering toolchains. Developing and optimizing AI models using machine learning and AI engineering platforms. Mentoring and guiding team members to foster a culture of continuous learning and innovation in AI. Skills ...

JD.com in London is seeking a Machine Learning Team Lead to lead a team of algorithm engineers in enhancing user experience through advanced search and recommendation systems. This role involves both technical contributions and strategic leadership. The ideal candidate will have a Master’s degree and over … years of relevant experience, with proficiency in machine learning frameworks like TensorFlow or PyTorch. JD.com offers a competitive salary and fosters a diverse and inclusive culture. #J-18808-Ljbffr ...

Databricks-based data platforms and solutions. Build scalable data lakehouse and data warehouse architectures. Design data integration, transformation and analytics solutions. Support AI and Machine Learning use cases through modern data architectures. Collaborate with architects, engineers, data scientists and business stakeholders. Lead technical workshops and contribute to solution … solution shaping activities is highly desirable. Nice to Have Public sector experience. Databricks certifications. Cloud certifications (AWS, Azure or GCP). Experience with AI, Machine Learning or GenAI projects. What's on Offer? Up to £110,000 base salary Performance bonus Private healthcare Pension scheme Flexible hybrid working ...

tier consultancy firm is currently seeking an experienced Data Scientist to join a dynamic team focused on leveraging Large Language Models (LLMs) and advanced machine learning to drive tangible business value. This is a pivotal role where you will take ownership of the end-to-end model lifecycle … following essential skills Strong experience with Machine Learning and LLMs (such as GPT or BERT). Proficient in Python and standard ML libraries. Skilled at crafting and testing prompts to get the best out of AI models. Able to clean, process, and manage large datasets for training. Great ...

commercial analysis Own and execute strategic initiatives and be accountable for their growth and success Lead the rollout and adoption of the existing Machine Learning module (AVA) across the customer base Design, develop, and optimise AI-powered booking solutions to improve vehicle allocation across repair networks Support strategic … technology businesses Strong analytical and problem-solving capabilities with the ability to interpret complex data sets and generate actionable insights Familiarity with AI and Machine Learning concepts, products, and applications Commercial mindset with the ambition and capability to own product performance and growth initiatives Experience supporting strategic initiatives ...

delivery roadmaps, and provide technical leadership across large-scale transformation programmes. Key Responsibilities Design and architect modern AWS data platforms supporting analytics, AI/ML and GenAI initiatives. Build scalable data integration and ingestion frameworks using AWS Glue, Step Functions, EventBridge and DMS. Design secure lakehouse and data warehouse solutions … leveraging Amazon S3, AWS Lake Formation, Redshift and Athena. Enable AI and machine learning capabilities through governed, feature-ready datasets and integration with AWS AI services. Lead platform governance, metadata management, lineage and data quality initiatives. Define AWS multi-account operating models, landing zones, security guardrails and environment ...

production-grade code to manage and execute orders across multiple MFT strategies and multiple exchanges in equities, crypto, and futures. Work with quant and machine learning researchers to continuously refine and improve data pipelines and execution algorithms. Provide an extra pair of hands for various other SE/… Build, maintain, and develop robust and optimized production-grade code. Manage and execute orders across multiple MFT strategies and exchanges. Collaborate with quant and machine learning researchers. Refine and improve data pipelines and execution algorithms. Support various SE/QD workloads. Qualifications Experience developing live execution systems across ...