326 to 350 of 439 Machine Learning Jobs in London

TradFi markets and trading concepts. Nice to Have Experience with crypto exchanges and market microstructure. Hands-on with Bokeh or other interactive viz libraries. Distributed compute (Dask, Ray) experience. ML Stack (JAX, Pytorch, Tensorflow, XGBoost, etc.) experience. Experience with compilers and code generation. Benefits International environment (English is the main language) Pension 100% health coverage Team events and offsites Recruitment More ❯

email parsing, e-commerce platforms (Amazon, Target), messaging services, and weather/location APIs. Need experience with RESTful APIs, webhooks, and managing multiple third-party service integrations. - AI/ML Integration & Natural Language Processing - Implement intelligent text parsing to extract party details from emails/calendars, build a gift recommendation engine considering age/budget/delivery factors, and integrate More ❯

tech. Focusing on really exciting and rapidly expanding technology markets including AI, where AI adoption among large companies as grown by nearly 50% since 2018. As well as that; machine learning and data across both the UK and US. Founded by the MD of a world-renowned tech recruitment agency. You would be joining a fresh team with … Industry leading commission scheme - up to 40% commission and no limit on what you can earn A full Career development programme, clear and structured up to director level Onsite Learning and Development Manager focussed on training support Incentive Ski trips to the Alps and holidays to Las Vegas and Barbados! Monthly and Quarterly lunch Clubs to Michelin Starred restaurants More ❯

rapidly expanding tec h nology markets including AI, w h ere AI adoption among large companies as grown by nearly 50% since 2018. As well as t h at; machine learning and data across both the UK and US. Founded by the MD of a world-renowned tec h recruitment agency. You would be joining a fresh team … with performance Industry leading commission scheme - up to 4 0% commission and no limit on what you can earn A full Career development programme, very clear and structured Onsite Learning and Development Manager focussed on training support Incentive Ski trips to the Alps and holidays to Las Vegas and Barbados ! Monthly and Quarterly lunch Club s to Michelin Starred More ❯

Cursor, Copilot) and help upskill internal teams and clients on agentic coding workflows. Advisory & Strategy: Provide technical consulting on AI product development, helping clients understand the distinction between standard ML and agentic AI. Continuous Learning: Stay updated with the latest trends in the AI engineering field, such as the modern AI stack, synthetic data generation, and Explainable AI. Key … web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs. Deep Learning: Familiarity or experience with Deep Learning (TensorFlow, PyTorch). Benefits Package and Benefits: Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays Up More ❯

A pioneering company in the humanoid robotics, artificial intelligence, and machine learning industry is seeking a Chief Financial Officer (CFO) to lead its financial strategy and drive growth. This is a unique opportunity to play a critical role in shaping the financial future of an innovative deep-tech startup. Key Responsibilities: Financial Strategy & Growth: Develop and execute a … business objectives and scale the company effectively. Key Requirements: Proven experience as a CFO or senior finance leader in a high-growth tech startup, ideally within robotics, AI, or machine learning. Strong track record in fundraising, with established connections to U.S. venture capital firms and investors. Experience leading multiple funding rounds and managing relationships with VCs, angel investors, and More ❯

backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world's largest brands. Requirements Qualification path No previous professional experience is required to apply to this role, however, working on this … program, you'll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience. Benefits Earn extra income working remotely from the More ❯

Start ASAP Outside IR35 To apply, email: THE OPPORTUNITY A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry click apply for full job details More ❯

a high-impact 6-month contract focused on defining the next generation of multilingual AI quality. This remote role is ideal for a specialist who bridges linguistic nuance with machine learning ev click apply for full job details More ❯

NumPy) (preferably) from the Trading world. They also are on the look out for candidates who: Have deep familiarity with Python data ecosystem Understanding of Jupyter notebooks Exposure to machine learning libraries like PyTorch, XGBoost and JAX Understanding of crypto or traditional financial markets Strong API design and documentation skills What do you get in return? Up to More ❯

NumPy) (preferably) from the Trading world. They also are on the look out for candidates who: Have deep familiarity with Python data ecosystem Understanding of Jupyter notebooks Exposure to machine learning libraries like PyTorch, XGBoost and JAX Understanding of crypto or traditional financial markets Strong API design and documentation skills What do you get in return? Up to More ❯

a team of Quants, Developers, and Analysts. Due to the nature of the business this is mainly an office-based role. Experience required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects More ❯

Company We’re working with a fast-growing sports technology company that’s transforming the way professional teams and broadcasters use live performance data. Their advanced analytics platform blends machine learning, simulation, and real-time data visualisation to power decision-making and audience engagement across the global sport industry. Operating in a fully remote environment, the team combines More ❯

Role Overview Mercor is partnering with a top AI research lab on an exciting project pushing the limits of multimodal machine learning — technology that helps AI understand both visuals and sound. We're looking for detail-oriented freelance contributors to review and compare short video and audio clips. Your feedback will directly improve the next generation of AI More ❯

SaaS Hybrid (London) LEAD Full Stack Developer role- Essential: Proven experience working with LLMs (e.g., OpenAI, Anthropic, Hugging Face) or applied AI projects. Nice to have: Broader AI/ML exposure, such as model fine-tuning, prompt engineering, or integration into production systems click apply for full job details More ❯

Founding Forward-Deployed Engineer - London (6-day week) Python, TypeScript, (AI/ML) Salary up to £160k + Equity Join a high-velocity startup that's rewriting how insurance claims work - powering life's most critical moments with AI, speed and care. What you'll build Work side-by-side with top talent from places like Meta, Revolut & Scale AI More ❯

objectdetection,imageclassification,segmentation,multi-modallearning) Fine-tune,evaluate,andproductionisemulti-modalLLMsforbusinessapplications. DriveexperimentationandprototypingofadvancedML/AItechniques Providetechnicaldirection,mentoring,andhands-onguidancetothedatascienceteam. Workwithengineering,product,andbusinessstakeholderstoalignMLstrategywithbusinessgoals. Architectandproductioniseend-to-endMLpipelinesonAzure,whileensuringscalability,reproducibility,andmonitoringofdeployedmodels. Requirements 6+yearsindatascience/ML,withatleast2yearsinatechnicalleadrole. Deepexperienceintraininganddeployingcomputervisionmodelsintoproduction ProventrackrecordwithLLMfine-tuning,promptengineeringandproductionisation DeepexperienceinMLOpsonAzure,includingCI/CD,monitoringandscalingpipelines. StrongcodingskillsinPython,withframeworkssuchasPyTorch,FastAPIandAzureCLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment More ❯

sophisticated AI systems from the ground up that can scale to thousands of enterprise users. The ideal candidate: - Strong programming skills (e.g., Python) and hands-on experience with major ML frameworks. - A high degree of autonomy, a product-oriented mindset, and thrive in early-stage startup ambiguity. - Demonstrated exceptional technical achievement and a proven "scrappy startup builder" mindset. How to More ❯

Founding Forward-Deployed Engineer - London (6-day week) Python, TypeScript, (AI/ML) Salary up to £160k + Equity Join a high-velocity startup that's rewriting how insurance claims work - powering life's most critical moments with AI, speed and care. What you'll build Work side-by-side with top talent from places like Meta, Revolut & Scale AI More ❯

AI, including generative, agentic, and operational AI, is adopted, governed, and scaled across the organisation. You'll create and lead a high-impact AI function that brings together existing ML, AI Ops, and emerging AI capabilities under a clear, unified strategy. This role is about vision, influence, and enterprise-wide impact. You'll work closely with executive stakeholders to identify More ❯

voices Work closely with other senior engineers in a culture that prioritises craftsmanship over speed Explore complex, fascinating problem spaces: Graph theory + data visualisation Intelligent document parsing + ML techniques Advanced investment and instrument calculations ⭐ Your Toolbelt Not mandatory, but ideal: Deep TypeScript expertise Strong Node.js + React background Familiarity with PostgreSQL, Jest, Playwright DevOps experience Great communicator with More ❯

About Dext Dext is a fast-growing fintech transforming bookkeeping through AI and machine learning. Our platform empowers businesses, accountants, and bookkeepers to simplify accounting processes and make smarter, more timely financial decisions. In 2024, Dext joined the IRIS Software Group, further strengthening our ability to deliver end-to-end accountancy solutions. We've achieved 99.5% data accuracy, saved More ❯

production, localisation, QC, and distribution to multi-platform audiences. Implement structured pipelines for multi-territory, multi-language, and multi-platform deliverables. AI Integration Identify, test, and scale AI/ML tools for content creation, QC, metadata enrichment, captioning, localisation, personalisation, traffic scheduling, and content discovery. Cloud Infrastructure Management Collaborate with IT/DevOps to ensure scalable storage, rendering, archiving, and More ❯

Entity: Technology Job Family Group: Business Support Group Job Description: About bp bp is a global company that offers a world of opportunities for professionals as well as those starting out in their career. Were guided by our purpose and More ❯

solutions with business goals. Deployment: Assist in deploying LLMs into production environments, ensuring robust and scalable AI solutions. Requirements Qualifications: Experience: 3-5 years of experience in AI/ML development, with a focus on working with Large Language Models (e.g., GPT, BERT, Hugging Face, etc.). Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data … Science, or a related field (or equivalent experience). Technical Skills: Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding of NLP techniques, including tokenization, embeddings, transformers, and attention mechanisms. Experience in retraining and fine-tuning LLMs using large-scale datasets. Familiarity with cloud platforms like AWS, Google Cloud, or Azure for model training and More ❯