301 to 325 of 630 Machine Learning Jobs in Central London

e.g., Google Analytics, Tableau) and leveraging data to drive decisions. Expertise in consumer experience design, with a deep understanding of user journeys, personalization, and omnichannel marketing. Experience with AI, machine learning, or other advanced technologies used in marketing automation and personalization. 10+ years of experience in working closely and collaboratively with globally distributed teams – including in India and … that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. “All aspects of employment at Infosys are based on merit, competence More ❯

the UK, and further abroad internationally. You’ll be supporting quality development – the business is continuously investing in new applications for technology, and are looking for ways to implement Machine Learning and improving DevOps in their process to further add value to their Authors. Their overall technology stack includes: Django, Flask, React, MongoDB, PostgreSQL, SQLserver, Docker and is More ❯

optimize systematic, high-frequency trading strategies. Conduct quantitative research to uncover market inefficiencies and improve model robustness. Collaborate with engineering teams to build scalable, low-latency trading systems. Leverage machine learning and statistical methods to enhance signal generation and performance. Mentor junior researchers and foster a culture of technical excellence and collaboration. Who We’re Looking For: Exceptional More ❯

Views: 3 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: About Algo Capital Algo Capital is a premier global search firm focused on fundamental and systematic Quantitative Trading, Machine Learning, and Deep Tech. We partner with the world’s most sophisticated hedge funds and systematic trading groups to build elite teams across research, trading, and technology. About More ❯

of Cash Equities trading products and market microstructure. Proven experience developing code in C++, R, and Python. Strong quantitative and analytical skills, with a background in numerical techniques and machine learning (both supervised and unsupervised). #J-18808-Ljbffr More ❯

expanding company. They offer a wide range of services and solutions designed to help businesses grow and innovate, including: Custom Software Engineering, Data and Analytics, Cloud Solutions, AI and Machine Learning, Blockchain, DevOps, Legacy Modernisation, and Security. Job Description Full sales cycle responsibility: prospecting, identifying, and closing new business deals. Creating and executing a sales strategy to deliver More ❯

visionary leadership and foster a culture of innovation.  Technology Development and Implementation: o Oversee the design and implementation of credit risk models and systems. o Integrate advanced analytics and machine learning techniques.  Data Management and Integrity: o Ensure the accuracy and reliability of credit risk data. o Maintain and enhance credit risk databases.  Risk Assessment and Reporting: o More ❯

visionary leadership and foster a culture of innovation. 2. Technology Development and Implementation:  Oversee the design, development, and implementation of market risk models and systems.  Integrate advanced analytics and machine learning techniques to enhance market risk assessment and management.  Ensure the integration and management of market data systems to support risk analysis and decision making. 3. Data Management More ❯

concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data More ❯

/Cloud Architect certifications. Cyber & Data Security Understanding: An appreciation for the architectural implications of application design and implementation. Modern Data Capabilities: Knowledge of Data Lake, Data Warehouse, and Machine Learning architectures. QA Best Practices: A solid understanding of data quality concepts and practices. Why Join Us? This is your chance to work in a stimulating environment where More ❯

Aligning architecture to core business use cases (such as order-to-cash) and ensuring that components meet real-world operational demands. Driving the adoption of advanced data practices including machine learning models, event-based processing, and clean data lineage. Providing guidance and oversight to engineers and analysts, supporting their growth and elevating team capability. Requirements Hands-on experience More ❯

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. … We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise … scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and More ❯

Machine Learning Engineer – Founding Team (Computer Vision/GenAI) Location: Remote-first (UK-based) | Salary: £50k–£70k + Equity A well-backed, early-stage startup is building a cutting-edge AI platform that transforms real-world visitor experiences at physical venues — from cultural institutions to entertainment destinations. Following successful pilots with major partners and recent pre-seed investment … we’re scaling up and looking for a Machine Learning Engineer to lead the development of our core AI systems. What You’ll Work On: 🔹 Computer Vision: Enable the system to recognise what users are viewing in real time using image embeddings, similarity search (e.g. CLIP, vector search), and traditional CV approaches (e.g. YOLO, MobileNet). 🔹 LLM & RAG … with the founder on roadmap decisions, help shape technical direction, and grow into a potential leadership role as the team expands. About You: 2–5+ years of experience in ML/CV/GenAI Proficiency in Python, ML frameworks, and cloud-based infrastructure Product-focused mindset with a desire to shape early-stage tech UK-based and open to occasional More ❯

approaches to find the best solution for the given problem. Independently determine appropriate data and modelling choices. Effectively communicate with technical and non-technical stakeholders. Follow best practices for ML experimentation and MLOps. Required Qualifications: PhD in a relevant discipline or Master’s plus a comparable level of experience Experience in Knowledge Graphs or Large Document Search Experience with traditional … ML models and feature engineering. Strong Experience with fine tuning, modelling and deploying LLMs - experience with RAG, IR, NER etc would also be very beneficial Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with More ❯

the next ~6 months and will sponsor transfer visa for team members open to relocation. Plexe is building AI agents that turn simple plain-English prompts into full production ML applications, including data pipelines, models, and more. We're backed by Y Combinator (X25) and were named one of the spring batch's "Top-10 AI agent startups" by Business … deploying LLM-based products from scratch. You'll develop multi-agent systems, build product front-end and backend APIs, and ultimately create AI agents that autonomously handle the entire ML development lifecycle. Responsibilities Product Development: build distributed ML infra, multi-agent systems, observability, client-facing APIs, and more - eventually owning your own product or product lines. Technical Leadership: drive technical … don't have strict "formal" requirements - we just want to see you're awesome and up for the challenge! That might look like this: Must-Have: 3+ yrs building ML/AI systems that served real users. Strong Python; comfort with AWS, Docker, Terraform/CDK, Postgres, etc. Experience with React, FastAPI, or other common web frameworks. An understanding of More ❯

the most advanced compute environments in finance. You’ll play a pivotal role in engineering and scaling large-scale storage platforms for high-performance computing (HPC) and AI/ML research. This is a fantastic opportunity for a technically outstanding engineer looking to work in a collaborative, low-ego environment where infrastructure is truly seen as a strategic asset. What … You’ll Do: Design, build, and support high-performance storage systems (e.g., NFS, S3, CEPH, GPFS, Lustre, VAST, WEKA, DDN) Collaborate closely with Quant Researchers and AI/ML teams to translate their workloads into scalable storage infrastructure Optimize performance across Linux kernel , storage , and networking stacks Drive benchmarking, tuning, and capacity planning for large-scale, data-intensive workloads Implement … Deep knowledge of storage protocols (Posix FS, NFS, CIFS, S3) and high-performance network architectures (ROCE, Infiniband, kernel bypass) Strong understanding of Linux performance tuning , particularly in HPC or ML/AI contexts Programming/scripting experience in Python , Golang , or similar languages Familiarity with modern observability and monitoring tools (Grafana, Prometheus, Splunk) Experience supporting AI/ML modelling environments More ❯

our client in the digital health tech space. This position is based in the UAE, offering an attractive Tax Free salary. Key Responsibilities: Oversee data engineering, data science, and ML teams Implement scalable data pipelines for real-world healthcare data Drive data governance, compliance, and ethical AI practices Collaborate with clinical and business leaders to inform product decisions Define metrics … AI strategy across the product portfolio Requirements: 10 to 15+ years in data/analytics; 5 to 7+ years in leadership Hands-on expertise with modern data stack and ML platforms Experience in working with healthcare datasets (EHR, claims, wearables) Familiarity with international HIPAA, GDPR, and health data standards Strong stakeholder management in high-growth settings Degree in Data Science More ❯

Software Engineer - Artificial Intelligence/Automation London - mostly remote £50-70,000 Join us in building cutting edge AI applications, unlocking the full potential of AI/ML modelling. It's new, it's exciting and it's an opportunity to work with some incredible talent in this space. AI Engineer The role is building AI based automation into back … In other words, if you need help, ask and get what you need. We are looking for the following skills - Software engineering experience in a commercial environment, working on ML and Ai for automation Keen interest, inquisitive and actively working on AI models Handson experience inc the following - AWS, NodeJS, LLMs, GenAI and Agentic AI The values and ethos of More ❯

to understand customer behaviour and optimise marketing spend and engagement. Ensure data quality and scalable infrastructure for marketing and customer data. Drive innovation by staying ahead of AI/ML trends in retail and customer analytics. Requirements: 5+ years' experience in Data Science, with a strong focus on customer or marketing analytics. Proven experience in building predictive models for segmentation … churn, LTV, personalisation, or attribution. Strong technical skills in Python and SQL, with experience deploying production-grade ML solutions. Confidence working with cross-functional stakeholders across marketing, CRM, eCommerce, and digital product. A collaborative mindset and a passion for using data to enhance the customer experience. If this role looks of interest, please apply directly, or reach out to Joseph More ❯

to understand customer behaviour and optimise marketing spend and engagement. Ensure data quality and scalable infrastructure for marketing and customer data. Drive innovation by staying ahead of AI/ML trends in retail and customer analytics. Requirements: 5+ years' experience in Data Science, with a strong focus on customer or marketing analytics. Proven experience in building predictive models for segmentation … churn, LTV, personalisation, or attribution. Strong technical skills in Python and SQL, with experience deploying production-grade ML solutions. Confidence working with cross-functional stakeholders across marketing, CRM, eCommerce, and digital product. A collaborative mindset and a passion for using data to enhance the customer experience. If this role looks of interest, please apply directly, or reach out to Joseph More ❯

and improves through direct user and customer feedback. What You Bring Your curiosity lets you ask what if, and surprise us again, and again. Proven track record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience with GenAI, agentic AI More ❯

prototypes using NLP and time series data. Supporting two business-critical systems powered by NLP and OCR. Designing your own evaluation sets and rigorously testing the performance of your ML models. Rapidly delivering front-end tools that bring immediate value to users. Ensuring reliability of your systems through comprehensive unit and end-to-end testing. Integrating and managing LLM APIs … What You’ll Bring: 5+ years of Python experience and 3+ years working with data science/AI products. Proven track record in NLP/OCR-based AI or ML systems. A strong product focus - solving real user problems is what drives you. Experience building lightweight, functional UIs and tools. A disciplined approach to testing and maintaining long-lived systems. More ❯

Mid-Level AI Engineer | AI-Driven Digital Transformation Salary: Up to £75,000 plus benefits Technology: Python, Microservices, CI/CD, AI/ML, LLM or RAG Location: Hybrid/London (onsite twice a week) Multiple Vacancies An innovative, fast-growing company transforming digital client experiences through intelligent technology is seeking a number of Mid-Level AI Engineers to join … growing expertise in AI to build practical, production-ready solutions. Key Skills & Experience: Strong Python programming skills with backend development experience Interest or hands-on exposure to AI/ML concepts, particularly LLMs and Retrieval-Augmented Generation (RAG) Experience working with AWS or similar cloud platforms Understanding of microservices architecture and distributed systems Familiarity with container tools such as Docker More ❯

s building a business unit. Define & Evolve Proprietary LLM Edge: Your deep market expertise will directly shape our LLM's alpha-generating capabilities. Collaborate closely with our AI/ML research team to refine, iterate, and transform unique data insights into tradable strategies. Direct CEO and CIO Partnership & Strategic Autonomy: Benefit from direct strategic alignment with the CEO and CIO … quantitative research, algorithm development, and high-performance backtesting. Expertise in statistical performance analysis, market microstructure, and real-time risk control for systematic strategies. Demonstrable experience collaborating with AI/ML research teams or directly applying advanced statistical/ML techniques in trading. Preferred: Experience in building and leading a successful systematic trading desk or a new strategy suite from the More ❯

implementation and maximization of business value. Qualifications: 10+ years experience in a combination of project management, product management, solutions architecture, or digital transformation consulting, preferably within the AI/ML industry. 5+ years of experience in a customer-facing role, such as business development, strategic consulting, or account management, preferably within the AI/ML industry. Solid understanding of generative … willing to travel to customer sites as needed. Preferred Qualifications: Familiarity with the generative AI ecosystem, including common models, techniques, and tools. Understanding technical concepts related to AI/ML, such as data processing, model training, and API integration. Domain expertise in one or more relevant industries, such as marketing, media, entertainment, or gaming. Proven ability to drive the adoption More ❯