1 to 25 of 155 Machine Learning Jobs in the City of London

Machine Learning Engineer | Python | PyTorch | Machine Learning | Large Language Models | RAG | Remote, UK Summary of the Role: As a Senior ML Engineer, you'll be the technical leader driving machine learning infrastructure from experimentation to production, ensuring AI-powered solutions deliver measurable impact … well-funded startup building breakthrough applications of large language models (LLMs) and AI agents. You'll take full ownership of evaluation frameworks, production ML pipelines, and cross-team ML integration, working closely with company leadership and product teams to transform cutting-edge AI research into robust, scalable solutions. Your success ...

prioritisation, guide investment decisions and act as the senior authority for Machine Learning & AI capability across the business. Key Responsibilities • Defining the ML & AI vision and strategy across the Cards business • Leading production ML systems across recommendations, ranking, search and personalisation • Driving measurable commercial outcomes including conversion, engagement … Shaping customer-facing AI capabilities including LLM-powered and generative experiences • Setting technical direction across modelling, evaluation and ML lifecycle management • Partnering closely with Product, Engineering and MLOps teams • Improving scalability, observability and speed-to-production across ML systems • Leading and developing a high-performing team of ML specialists ...

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 ...

mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while … machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While ...

mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative … machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While ...

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 ...

Software Engineers to define data needs and ensure seamless integration into the product ecosystem. Utilize Python (Django) or Go to support the deployment of ML models. Requirements for the role: Strong grasp of statistics and modelling with an ability to derive actionable insights from patterns. MLOps experience Proven history … shipping ML products, ideally within demand prediction, computer vision, or optimization. Strong experience with Time Series Forecasting, Sequence Modelling, Signal Processing or Quantitive Analysis Proficient in Python and SQL. Experience with frameworks like PyTorch, Spark, or Airflow is highly desirable. Familiarity with AWS (SageMaker, Lambda) and CI/CD automation. ...

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/ ...

influence the technical roadmap, and work directly with experienced founders and a senior engineering team. What you'll be doing: Designing, building and deploying ML-powered features across a production platform Working across Python and TypeScript, integrating models into scalable, real-time systems Fine-tuning and training NLP models using … best practices from the ground up Collaborating closely with product, engineering, and leadership What we're looking for: Strong commercial experience building and deploying ML models in production Proficiency in Python and familiarity with TypeScript/JavaScript Experience with NLP or recommendation systems is a bonus Excited by start ...

technical delivery and commercial problem solving. Key Responsibilities Develop and deploy machine learning and NLP models Build and maintain scalable data and ML pipelines Analyse structured and unstructured datasets to generate actionable insights Design and optimise predictive and risk models Collaborate with analysts, economists, and developers across multiple … analytics capabilities What We’re Looking For Strong experience working with large datasets and quantitative analysis Commercial experience with Python, R, and relevant ML libraries Experience developing and monitoring machine learning or NLP models Understanding of software engineering best practices including testing and version control Knowledge ...

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 ...

MLOps Engineer | Python | Airflow | AWS | MLFlow | Docker | Kubernetes | London, Hybrid Position Overview We are seeking an experienced ML Ops Engineer to own the infrastructure and operational lifecycle of machine learning systems powering a large-scale clinical monitoring platform. You will build and maintain production ML pipelines, deployment infrastructure … monitoring systems that enable predictive models to identify early signs of clinical deterioration. Working closely with ML, backend, data, and clinical teams, you will ensure models are reliably trained, versioned, deployed, and monitored across both cloud and edge environments. You will help elevate ML engineering practices across the organisation, including ...

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 ...

Machine Learning Engineer - Outside IR35, up to £600 per day Remote or London Hybrid. Immediate start Looking for multiple Machine … Learning Engineers for a long term project with one of OB's clients in the retail space. Proven experience in end-to-end ML deployments, including GenAI models, into scaled production systems. Skilled in building RESTful and GraphQL APIs for integrating GenAI systems with front-end and back ...