1 to 25 of 148 Machine Learning Jobs in the City of London

access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely … Have strong experience in machine learning and computer vision. Have a strong record of successfully delivering high-performance ML-driven products. Have a deep understanding of machine learning theory. Have strong coding skills in Python and PyTorch. Care about building fair and cutting-edge machine ...

Description We are seeking a highly skilled, motivated and proactive ML Research Engineer to join our dynamic team. In this role, you will be responsible for building and optimizing complex simulation environments to facilitate the training of machine learning models. The ideal candidate will have a strong background … accuracy. · Applying your strong software skills, including proficiency in Python and ideally another programming language. · Applying DevOps processes to ensure seamless integration of ML training pipeline. · Taking ownership of defined technical workstreams, breaking down ambiguous problems into practical next steps, and helping the team identify risks, blockers and opportunities. ...

models that make sense of high-dimensional biological data. The successful candidate will work alongside bioinformaticians, software engineers, and lab scientists to build scalable ML systems that directly influence the discovery pipeline. This is a hands-on role with ownership - from prototyping models to productionising them in a fast-moving … teams to translate experimental data into actionable insights Optimise models for performance, scalability, and real-world usability Contribute to the design of their ML infrastructure and tooling stack What They’re Looking For 4+ years experience in machine learning, data science, or AI engineering Strong Python skills (NumPy ...

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 ...

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/ ...

engineering environment. Required: Core experience Strong grounding in audio machine learning or applied signal processing Experience training and evaluating models using modern ML tooling Awareness of real-world acoustic challenges such as noise, reverberation, and variability Comfort working in a small, fast-moving engineering team Likely … + some industry experience Beneficial Edge or embedded ML optimisation Audio feature extraction or DSP knowledge Postgraduate study in a relevant technical discipline Experience with sensing, monitoring, or real-world data systems ...

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 ...

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 ...

largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased … machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systems Proven ability to create polished presentations and effectively communicate insights to customers with attention to detail Have extensive multi-tasking and prioritisation skills. ...

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 ...

businesses, Innovo Data designs scalable data platforms, implements advanced analytics solutions, and drives data-driven decision-making. With expertise in data strategy, cloud platforms, machine learning, and AI-driven automation, the company focuses on delivering outcomes that matter, not just dashboards. Guided by a commitment to data integrity … Qualifications Proficiency in Data Science and Data Analytics Strong skills in Data Analysis and Statistics Excellent Analytical Skills for solving complex problems Familiarity with machine learning frameworks, programming languages (e.g., Python, R), and relevant tools Effective communication skills to present data insights clearly Ability to work independently ...

capability from the ground up, operating at the intersection of investing, quantitative analytics, and modern software engineering. The role spans investment infrastructure, machine learning, automation, data engineering, and analytics. The successful candidate will work closely with investors across both private and public markets to develop systems that enhance … technology architecture, including cloud infrastructure, vendor management, cybersecurity resilience, and data governance. Qualifications The ideal candidate will come from a quantitative development, data engineering, machine learning, or research engineering background, ideally within a hedge fund, asset manager, investment bank, fintech, or alternative investment platform. Required Skills Candidates should ...

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 ...

creator ecosystem, and developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, causal inference, optimization, ranking and recommendation. What You’ll Do Within the Sharechat AI team, we are looking … engagement while minimizing server and cloud costs of serving large scale models, and act as a subject matter expert in the recommender systems and ML ranking domains. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and we’re making big progress ...

team undergoing significant transformation, moving from reactive operational delivery into a highly product-led, data-driven environment with a strong focus on automation, machine learning and scalable product strategy. This is a genuinely high ownership role where product thinking, leadership and execution matter more than ticking every domain … representment success and operational efficiency • Collaborating with senior stakeholders across multiple business functions to influence direction and prioritisation • Partnering with engineering teams to build machine learning-driven capabilities focused on predictive dispute defence • Translating complex payment ecosystem challenges into clear product opportunities and deliverables • Scaling and growing ...

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 ...

with real-time image quality checks (e.g. blur, lighting, framing) Ensure stability, performance, and ease of integration Manage SDK distribution and packaging On-device ML deployment Deploy and optimise machine learning models for mobile (e.g. conversion, quantisation, performance tuning) Run real-time vision models directly on-device Ensure … early-stage or fast-moving environments Experience as a sole or lead mobile developer, owning products end-to-end Proven delivery of on-device ML features in production (not just prototypes) Experience building and maintaining SDKs used by external developers Track record of maintaining live apps, shipping features, and fixing ...

Lead Machine Learning Engineer (Generative AI & Agentic Systems) Location: London, UK (Hybrid: 2 days/week … office) Type: 12-Month Contract The Opportunity Are you a hands-on leader in the AI space? We are looking for a Lead ML Engineer to spearhead the design, deployment, and optimization of sophisticated AI models and Agentic Systems . This isn't just about standard predictive modeling ...

role, you will: Parallelise training across multiple GPUs and GPU nodes Develop and containerise robust inference pipelines (Docker, ONNX/TensorRT) Build cutting-edge ML infrastructure to be deployed at scale You should bring: MSc or PhD, with 2+ years of industry experience Strong Python and PyTorch skills Experience with …/distributed) is a plus Experience with Docker, cloud platforms (e.g. AWS), and CI/CD A track record of delivering productionised, scalable ML systems This is a highly collaborative role with real ownership of state-of-the-art ML models. If you are a proactive, autonomous individual who thrives ...

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 ...