1 to 25 of 132 Machine Learning Jobs in the City of London

products, platforms, and operational environments. Responsibilities Define and guide machine learning strategy across multiple portfolio companies Help AI and engineering teams move ML initiatives from proof of concept into scalable production systems Align machine learning initiatives with product, commercial, and operational goals Advise on architecture across … operating models to improve execution maturity Qualifications 10+ years of experience across machine learning, AI, or data-driven environments Experience leading ML teams within production-scale businesses Strong understanding of LLMs, MLOps, AI platform architecture, and scalable ML systems Experience operating within high-growth SaaS, AI-native, TechBio ...

wide range of technical challenges across technologies to design a solution applicable to the business issue Translate business requirements into technical AI/ML features, model selection, and architecture decisions Conduct exploratory data analysis and communicate insights Collaborate with data engineers, architects, and business analysts on integrated solutions Build feature … pipelines and automated data preparation workflows Design AI solutions for commercial transformation including pricing optimization, customer segmentation, and revenue management Develop scalable AI/ML pipelines on Databricks, Azure Machine Learning, and/or Snowflake platforms Contribute to proposals and technical assessments for new opportunities and internal knowledge ...

play a leading role in shaping and growing a high-performing AI capability, working with senior stakeholders across industry to deliver innovative AI, machine learning and advanced analytics solutions. You will combine strategic leadership, technical expertise and commercial acumen to help organisations realise value from AI technologies while … Experience Experience with Generative AI and Agentic AI. Experience designing or validating continuous monitoring frameworks for AI models. Experience with Azure Databricks, MLflow, Azure ML Services or similar platforms. Experience working within DevOps or MLOps environments. Experience with Docker and Kubernetes. Existing network within the UK AI, analytics or technology ...

available £45k to £95k DoE 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 … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

defence environments. This is an opportunity to work at the cutting edge of data science, focusing on GenAI, large language models, and cloud-based ML deployments, while also taking on leadership responsibilities within a growing team. Role Responsibilities Lead day-to-day technical delivery across data science and ML projects … data governance and security best practices Desirable Skills Experience using GPUs in cloud environments Knowledge of MLOps, CI/CD pipelines, and monitoring ML models Experience building APIs and working with modern DevOps practices Eligibility Requirements Due to the nature of the work, candidates must: Hold active DV clearance ...

Cloud/AI/ML/Transformation/Agile Role: Project Manager (Contract) - AI/Machine Learning Programme Day Rate: Up to 585 a day (Inside IR35) Contract Length: Until March 2027 (extension likely) Location: Hybrid - 2-3 days per week onsite (London) Start: ASAP Overview … looking for an experienced Project Manager to support the delivery of a machine learning proof-of-concept within a large-scale operational environment. This is a high-impact role focused on stakeholder coordination, system integration, and delivery of AI-driven insights, with strong potential to expand into broader ...

, optimisation and operational research techniques Strong Python expertise with experience delivering production‐quality data science software Experience working with cloud platforms and modern ML tooling Strong software engineering discipline including testing, CI/CD and version control Ability to structure complex business and technical problems and propose pragmatic solutions … resilience and adaptability in fast‐moving environments Strong commitment to delivering measurable business value Your experience: Master’s degree or greater in data science, ML, or operational research, or 6+ years of highly relevant industry experience (required) 4-6 years working on production ML or optimization software products at scale ...

your family again! Design reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Shape AI Strategy and the delivery of LLM based solutions. Operate across … production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards ...

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 … 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 challenges with a talented, multidisciplinary team Collaborate with leading academic and industry partners Access to high ...

technical specifications Required Skills & Experience Great experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines … processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML workflows (MLOps) Strong programming skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers ...

Lead Machine Learning Engineer £Up to £125000 GBP Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Reference: AMC/ERO/Lead Machine Learning Engineer Postcode: SW1 JBG81_UKTJ click apply for full job details ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity … needs of GS engineers. Be part of our continual drive to innovate and uplift our platforms to take advantage of new technologies (such as machine learning, cloud platforms) Provide technical guidance and support to other team members and stakeholders. Stay up to date with the latest industry trends ...

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 ...

About the Company Omnis Partners are working exclusively with a venture-backed start-up redefining the e-commerce landscape through advanced AI and machine learning . Following a successful Series A raise, the business is entering a rapid growth phase and investing heavily in its data science … join a high-performing data science team working closely with an accomplished Data Science Director, contributing to the design and deployment of impactful ML solutions in production . This role is suited to a well-rounded Senior/Lead Data Scientist with strong modelling expertise—particularly in forecasting, time series ...

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 ...

complex technical outputs into clear, compelling insights for senior stakeholders. Drive experimentation and optimisation initiatives to improve performance across commercial channels. Champion AI and machine learning innovation, staying ahead of industry best practice. Promote ethical data use, governance and compliance across all analytics initiatives. What You Bring … working with large datasets and distributed computing tools such as Azure Synapse and Snowflake. Familiarity with data transformation tools (Databricks, Azure Data Factory) and ML platforms (Azure ML, TensorFlow). Experience with data visualisation tools such as Power BI. Strong commercial acumen with the ability to translate business problems into ...

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 ...

Expert – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models. CX Data Experience - Hands-on experience in customer behaviour analytics, marketing, commercial … essential Programming Experience - Skilled in using programming languages such as Python Cloud Expertise - Knowledge of cloud platforms and tools for data science and machine learning. Data Visualisation Experience - Utilise visualisation tools such as Power BI or Tableau to present data insights effectively. Ethics - Familiarity with ethical considerations and best ...

newer function, created to enhance existing capabilities and drive innovation through advanced analytics and artificial intelligence The Role Design, develop and enhance AI and machine learning models to support client and internal projects. Apply AI techniques such as LLMs, transformers and predictive modelling to real-world business problems. … model development, including scorecards or other predictive models. Hands-on experience applying AI and machine learning, such as chatbots, LLMs or advanced ML models. Solid programming skills in Python and SQL. Experience exploring AI as an alternative or improved solution to existing lending or collections processes. Confident communicator ...

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 with researchers to align … workflows Stay up to date with the latest advancements in AI, engineering best practices, and related fields Requirements: Extensive experience implementing and optimizing machine learning algorithms and systems Advanced proficiency in programming languages such as Python, C++, or similar Proven ability to lead engineering projects and work both ...

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 ...

active customers globally. This is a senior individual contributor role. You will be driving early, material product decisions on a greenfield AI/ML-centric fraud risk platform, spanning reactive fraud detection and proactive fraud prevention. You will not be managing a team from day one. What you will … doing is shaping the architecture of something that has never been built quite like this before. What You Will Be Doing Greenfield AI/ML Product Direction: You will define the strategy, roadmap, and prioritisation for a zero-to-one fraud risk product, delivering capabilities across workflow orchestration, data integration ...

embed analytics into consulting engagements Evaluate and improve existing models, ensuring accuracy, robustness, and usability Conduct advanced analysis, including statistical modelling and use of machine learning where appropriate Deliver clear, insight-led outputs to clients, ensuring methodologies and conclusions are well understood Produce high-quality visualisations, dashboards … visualisation tools such as Power BI Working knowledge of Python, R, or similar analytical tools Familiarity with SQL or data architecture tools Experience applying machine learning techniques in a practical setting Understanding of data governance, data management, and analytics best practice Experience within management consultancy, or working with ...

Senior Data Engineer | Data Engineer | Python | ETL | Data Modelling | Machine Learning | 2 days a week in London | £55,000 + 15% bonus I am currently working with a brilliant consultancy with deep expertise in their field of Data and Cyber Security solutions, predominantly with Central Government organisations …/solutions to help that client and communicate clearly with them the solution you have found, this combined with strong Data Management, ETL, modelling, & ML skills. Key Skills Good knowledge of Python and the supporting machine learning tools a benefit Happy in a client facing capacity and able ...

enterprise marketing ecosystem. This position operates at the crossroads of marketing, data, and technology, with a strong emphasis on marketing tech data, AI & machine learning, and data workflows. You will play a key role in enhancing platform performance, strengthening integrations, and enabling scalable, data-driven marketing operations. This … sources, including digital, event, and third-party data Ensure seamless data delivery into analytics and reporting environments Collaborate with technical teams to implement AI & ML-driven capabilities such as automation and data enrichment Uphold data quality, governance, and compliance standards across all systems Identify opportunities to improve process efficiency, platform ...